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X's Recommendation Algorithm Analysis ===================================== Used Grok Code Fast to get a quick breakdown of X's recommendation system. What Makes a post Go Viral =========================== tldr: Engagement prediction trumps everything. Post content that generates interactions. Based on the actual algorithm code, posts that rank highest typically have: + High... predicted engagement scores (ML models predict likes/reposts/replies) + Strong personalization match (SimClusters similarity to user interests) + Social graph relevance (RealGraph connections to user's network) + Media content (images/videos get engagement multipliers) + Author credibility (follower count, verification, tweepcred score) + Content quality signals (passes spam/NSFW/quality filters) + Timely relevance (freshness factor, trending topics) + Conversation potential (high reply prediction scores) The algorithm uses machine learning models to predict engagement, not simple weighted formulas. Success is measured by actual user interactions, creating a feedback loop that continuously improves ranking predictions. How the Algorithm Actually Works =============================== 1. Candidate Generation (9 sources): - Earlybird (in-network posts) ~50% - UTEG (out-of-network recommendations) - postMixer, Lists, Communities, Content Exploration - Static, Cached, Backfill sources 2. Feature Hydration (~6000 features per post): - User features (interests, behavior, demographics) - post features (text, media, metadata, engagement) - Graph features (SimClusters, RealGraph, social connections) - Real-time signals (current engagement, trending status) 3. Scoring Pipeline (4 models): - Model Scoring (NAVI heavy ranker) - Reranking Pipeline - Heuristic Scoring - Low Signal Scoring 4. Filtering (24 total filters): - 10 Global Filters (age < 48h, deduplication, location, etc.) - 14 Post-Score Filters (Grok safety, language, video duration, etc.) 5. Final Selection & Mixing: - Sort by final scores - Apply diversity rules - Mix with ads, who-to-follow, prompts - Generate timeline Key Prediction Models ==================== The algorithm predicts these engagement types: • PredictedFavoriteScore (likes) • PredictedRetweetScore (reposts) • PredictedReplyScore (replies) • PredictedGoodClickScore (meaningful clicks) • PredictedVideoQualityViewScore (video engagement) • PredictedBookmarkScore (saves) • PredictedShareScore (external shares) • PredictedDwellScore (time spent viewing) • PredictedNegativeFeedbackScore (hides/blocks) Weight System Reality ==================== IMPORTANT: The algorithm does NOT use fixed percentage weights like: ❌ Like Prediction (35%), Repost (28%), etc. ACTUAL SYSTEM: ✅ Weights are learned parameters from ML training ✅ Default values in code are 0.0 (overridden by feature flags) ✅ Weights are personalized per user and constantly A/B tested ✅ Different content types (video vs text) get different treatment ✅ Weights change based on real-time context and user state Example scoring process: 1. ML models predict engagement probabilities 2. Feature flags provide current weight multipliers 3. Personalization adjusts weights for individual user 4. Real-time context modifies final scores 5. Business rules apply quality gates and diversity What Actually Drives Viral Content ================================== Based on code analysis, viral posts typically: 1. Generate High Engagement Predictions: - Models predict high like/repost/reply probability - Content resonates with multiple user communities - Strong early engagement signals 2. Pass All Quality Gates: - Survive 24 different filter stages - Meet safety standards (not spam/NSFW/violent) - Author has good credibility signals 3. Achieve Personalization at Scale: - Match interests across diverse user segments - Trigger SimClusters similarity for many users - Connect through RealGraph social relationships 4. Optimize for Platform Mechanics: - Include media (images/videos perform better) - Post during high-activity periods - Use formats that encourage replies/reposts Key Takeaways ============= ✅ Engagement prediction is everything - the algorithm optimizes for user interactions ✅ Personalization is sophisticated - uses ML embeddings, not simple keyword matching ✅ Quality filtering is extensive - 24 stages prevent low-quality content ✅ Weights are dynamic - constantly optimized through ML and A/B testing ✅ Scale matters - system processes billions of posts daily with <50ms latenc Transparency exists - this analysis is possible because X open-sourced the algorithm The system is designed to surface content users will engage with, creating a feedback loop that rewards creators who understand their audience and produce engaging content. Bottom line: Create content that generates genuine engagement from your target audience. The algorithm will learn and amplify what works.show more

tetsuo

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308,672 görüntüleme • 11 ay önce •via X (Twitter)

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Efsane Platform Introduction I. Platform Overview • Platform Positioning: EFSANE (main domain is the world's fastest-growing blockchain news portal, serving as the core gateway to the entire ecosystem. The platform integrates multiple modules, including predictions, live streaming, games, and social networking, striving to provide users with a one-stop on-chain entertainment and interactive experience. • Core Mission: To establish a secure, reliable, low-threshold, and diverse on-chain entertainment platform, enabling users to conveniently participate in Gem (GEM) trials, USDT live games, prediction markets, live streaming interactions, and community exchanges, forming a complete closed-loop ecosystem. II. Core Values and Features 1. One-Stop Ecosystem Hub • Integrated Sub-Channel Access: The main site homepage and user center clearly display channels for various modules, including prediction network, live streaming, blockchain games, and efschat (social networking), allowing users to directly access their desired scenarios without having to navigate multiple platforms. • Unified Asset and Account System: Centrally displays Gem/GEM and USDT balances, records participation in each module and historical returns, and enables one-stop asset management. • Unified Notifications and Customer Support: Integrates platform announcements, event reminders, and reward notifications, providing multiple customer service channels to significantly enhance the overall user experience. 2. Brand Trust and Security Transparency • Operational Data Announcements: The platform publicly discloses core metrics such as registered users, daily active users, withdrawal success rate, and total bonus pool, ensuring data authenticity and verifiability. • Compliance and Audit Visualization: Displays security audit summaries, risk control systems, and compliance instructions, allowing users to immediately perceive the platform's professionalism and credibility. • Risk Warnings and User Education: Key pages and workflows prominently highlight participation risks, and provide resources such as operation guides, video tutorials, and live streams. 3. Diverse Gameplay and Incentive Design • Gem/GEM Beginner Mechanism: Users can earn gems by signing in, completing tasks, or participating in events, allowing them to try out the game before converting, lowering the barrier to entry. • USDT Payment and Real Earnings Mechanism: Used in advanced games and predictive gameplay, ensuring authentic payment and cash-out mechanisms, enhancing asset authenticity and building trust. • Cross-module Incentive Mechanism: A task system enables cross-module linkage. For example, completing prediction tasks earns rewards in the live streaming/gaming modules, fostering deeper user engagement. • Multi-tiered Promotion Revenue Mechanism: Through an invitation code system and a three-tiered fission reward structure, promoters can earn high commissions, with commissions increasing to higher levels during special periods, stimulating user enthusiasm for cross-platform sharing. 4. Social and Community-Driven • Community Aggregation Portal: Enables cross-scenario discussion and sharing among users of modules like prediction, gaming, and live streaming. • User-generated Content Creator System: Encourages users to contribute high-quality content such as tutorials, guides, and reviews, providing incentives and resource support to outstanding creators and streamers. • Interactive Operational Activities: Regularly organize AMAs, online competitions, and data review livestreams to enhance user engagement and a sense of belonging to the platform. 5. Technical and User Experience Assurance • High-availability Architecture: The platform utilizes CDN acceleration, load balancing, and site-wide SSL/TLS encryption to ensure stable access and data security. • Full-Device Support and Multi-Language Optimization: Compatible with mobile and desktop devices, it supports a multi-language interface, offers a simple registration process, and quickly guides new users onboarding. • Behavioral Data-Driven Optimization: Analyze user behavior to deliver precise recommendations, improving gameplay conversion rates and user retention. III. Introduction to Key Modules (Platform Portal and Linked Examples) 1. Prediction Module ( Provides prediction scenarios for multiple sectors, including the crypto market, hot events, and sports events. Gameplay includes time-limited battles, binary options, and multiple-choice intervals. It features transparent settlement, a leaderboard mechanism, and integration with live streaming and the main platform's asset system. 2. Live Streaming Channel Showcases project roadshows, platform tutorials, live event broadcasts, and community interactive live streams to enhance user engagement and trust. It supports both gem and USDT tipping mechanisms and can be directly linked to the main platform's event page or task guide. 3. Chain Game Entertainment Channel Offers a diverse selection of games, from casual mini-games to competitive GameFi, supporting gem trials and USDT live trading. A leaderboard and tournament system is integrated with the main site's asset management and livestreaming content. 4. Social Community Users can participate in discussions, post content, and share task results in interest-based zones. A creator development system and content governance structure are established, serving as a hub for cross-module communication and feedback. 5. Other Expandable Portals The platform can subsequently expand subdomains such as dedicated event pages, tutorial pages, and creator centers as needed, all under the main domain for unified management. IV. User Flow Examples 1. First Visit: Users visit and register/log in. The homepage displays featured events and module portals, encouraging participation in gem trials or popular gameplay. 2. Onboarding: New users receive gem trial coupons and are guided through live tutorials or tutorials to quickly understand the platform's core mechanics. 3. Multi-Scenario Participation: Users can choose to participate in prediction betting, game battles, watch live streams and give rewards, join communities to express their opinions, or complete tasks and invite friends. 4. Asset Management and Withdrawal: Users can centrally view their Gem and USDT balances and earnings on the platform and withdraw them or use them to participate in other modules. Promotional earnings and commission details are displayed simultaneously. 5. Sticky Loop: The system periodically pushes cross-module tasks, community events, leaderboard incentives, and other content to promote continuous user engagement and platform retention. V. Trust and Compliance Assurance • Operational Transparency: The platform regularly publishes key data and security audit information to ensure openness and verifiability. • Risk Control Mechanism: Key processes such as withdrawals, deposits, and prediction participation are equipped with anomaly detection and anti-cheating mechanisms; large-scale transactions require KYC review. • Compliance Strategy: The platform monitors the regulatory status of crypto entertainment and prediction mechanisms in various markets and implements grayscale openness, geographic restrictions, and compliance disclosure procedures. • Privacy Compliance: The platform strictly adheres to local data protection laws to safeguard user privacy and security, and clearly states the scope of data usage in the user agreement. VI. Brand and Promotional Positioning • Suggested Platform Slogan: • " A one-stop on-chain entertainment platform with low barriers to entry, high transparency, and real returns." • "Gem Trials, USDT Play, the new standard for secure and reliable on-chain entertainment." • Core Marketing: Focus on beginner gem experiences, real USDT withdrawals, diverse gameplay options, and safety and compliance mechanisms. • Promotional Channels: Includes Telegram, Discord, and WhatsApp groups, livestream promotions with influencers (KOLs), and SEO/advertising (using keywords such as "on-chain entertainment platform" and "GameFi Real Returns"). VII. Technical and Operational Support System • Multilingual Operational Capabilities: Currently supports Chinese, English, Turkish, and Japanese, and will gradually expand to 16+ languages globally, providing a localized experience for the international market. • Data-Driven Growth Analysis: Build a full-chain conversion analysis system to monitor new user conversion rates, retention rates, paying behavior, and task completion. • Customer Support and User Feedback Mechanism: Provide a multilingual customer service portal for immediate responses to user questions; promptly integrate community suggestions into product iterations and provide regular announcements. • Platform Optimization and Emergency System: Develop a security incident emergency response plan to ensure rapid platform recovery in the event of an emergency; continuously optimize the user experience through a data feedback mechanism. VIII. Future Development Outlook • Deep Ecosystem Development: Continuously optimize existing gameplay and module integrations, and explore the introduction of new economic mechanisms such as NFT incentives, DeFi mining, or staking. • Technology Evolution: Follow cutting-edge technologies such as Layer 2 expansion, off-chain settlement, and AI-powered recommendations to improve transaction efficiency and user experience accuracy. • Compliance Expansion Strategy: Promote legal operations in regions with mature regulations, and proactively prepare for compliance in high-potential markets to mitigate legal risks. • Community Brand Ecosystem: Cultivate a community of core players, influencers (KOLs), and creators, building a trusted brand image and enhancing user belonging through online livestreams and offline salons. 🔗 Register as a new user and receive $6. Join now:

EFSANE

28,263 görüntüleme • 11 ay önce

Attention , Data and Capital rule WEB3! Kaito AI 🌊 has primed itself as the ultimate distribution center of this three! Here’s how you can make the most of KAITO,a long form post! This guide is my personal strategy to earning yaps and building long term mindshare, ignoring follower count! Let’s get into it: ⸻ What Even Is Yapping? Yapping is posting and engaging on Crypto Twitter in a way that’s: •Web3 relevant •Genuine and thoughtful •Not spammy or low effort •Seen and engaged by high reputation users Yaps are the points you earn from posts and replies, but how you earn them is what I wanna talk about now. How do you Earn Yaps? As I read from the Kaito FAQ, applied, and gotten results from, there are three things that determine how many yaps you earn and when; 1.Reputation weighted engagement: the most important one! 2.Web3 relevance: your posts MUST be relevant in Web3! 3.Insightful and original content: focus on quality over quantity! What does that actually mean? If you post a great crypto thread and no one with a good reputation in CT interacts, you likely get 0 yaps. If you post a viral meme that’s unrelated to crypto, same thing, you get 0 yaps. You need both quality and engagement from strong accounts in the Kaito inner circle. Here’s where the idea of Smart followers comes in, these are accounts with the “Inner Circle Badge” on Twitter. Their interactions on your posts or replies earn you yaps! It’s also important for you to understand Mindshare. Mindshare is simply how much conversation and attention you are able to generate around a specific project. Yaps = fuel. Mindshare = dominance. To build mindshare,: •Focus on 1 to 2 projects MAX. •Post about them 1 to 2 times daily. •Reply often to other Yappers posting about the same project •Engage directly with the project account and their team. •Watch who’s leading the mindshare leaderboard on the KAITO website and learn from their style and content. Note: Early engagement gives you a higher chance to earn more yaps. That’s why I focus on fresh or recently added projects with active or pending leaderboards. Here’s how Pick Projects to Yap About: If you know me, I’m never chasing short term hype, and I focus on long term projects. Here’s how I pick: •Projects I understand or am testing/using myself •Ones that reward Yappers in meaningful ways (roles, cash, recognition) Here are some I’m looking at right now (do your own research too!): •Monad •Lombard •burner •Kaito AI 🌊 •Succinct •Infinex (massive rewards) •Allora •Humanity •OpenLedger (hot competition) What your daily KAITO schedule should look like: 1 to 2 solid tweets per project •No low effort “gm” posts, be intentional about every single post or reply you make! •Focus on your thoughts, project features, new updates 2.Reply to official project tweets, engage on founder and team member’s accounts too! 3.Engage other Yappers talking about the same project,be a good reply guy. 4.Retweet the project’s major posts. 5.Use project specific images. 6.Keep your posts insightful and project relevant! Also, clean up your profile (your bio, banner and pinned tweet must reflect clearly that you’re active in Web3. First impressions matter when people are deciding whether to interact with your profile or not! -Some tips to grow faster as a small account on KAITO. •Subscribe to X Premium (seriously helps with visibility) •Check the Discord of the projects you support for updates. •Track Kaito’s market page to see hot Inner Circle accounts. •Engage with leaderboard users in a genuine way -What Projects should you Yap about? There are 40+ Pre TGE projects you can yap about right now under different sectors AI & Data •Allora •OpenLedger 🔥 •Camp Network •Hyperbolic . Listen to KAITO founder 👇

DUKE 🇲🇾

92,426 görüntüleme • 1 yıl önce

India's Vulgar Content Crisis: How Algorithms, Greed, and the Erosion of a Generation Are Colliding in 2026 In 2026, open any Indian teenager’s Instagram or YouTube Shorts feed and you’ll see it: a relentless stream of suggestive reels, borderline explicit dances, and creators pushing every boundary for clicks. What began as occasional “bold” content has now become the default algorithm diet for millions. This isn’t organic cultural evolution—it’s engineered addiction, fueled by cold, hard incentives that reward the raciest material while quietly reshaping an entire generation’s sense of normal. The Numbers Don’t Lie—And They’re Alarming Official data from the National Cyber Crime Reporting Portal shows a staggering 76,657 complaints of cybercrimes against women in 2025 alone—an increase of over 28,000 cases from the previous year. Sexually obscene material topped the list with 37,743 reports, followed closely by sexually explicit acts. At the same time, the government has issued repeated advisories to platforms demanding immediate removal of “obscene, vulgar, pornographic” content, warning of legal consequences for non-compliance. Yet the flood continues. Why? Because the system is designed to reward it. The Algorithm’s Poisonous Incentive Loop Social media platforms don’t care about culture—they care about watch time, comments, shares, and subscriptions. Provocative, sexually charged content consistently outperforms everything else: - Reels with “bold” hooks get 2–3x more watch time. - Controversial or suggestive posts trigger 4x more comments and shares. - Once a creator dips into semi-nude, twerking, or heavily sexualized fitness/glamour content, the algorithm pushes it harder—because engagement skyrockets. Creators aren’t stupid. Many started with dance, fashion, or comedy. Then they noticed the pattern: a slightly suggestive thumbnail or outfit = exponential growth. Instagram’s subscription model (where fans pay monthly for “exclusive” content) has turned this into a direct revenue stream. The more explicit the tease, the more subscribers pay to see what’s behind the paywall. It’s not art. It’s calculated escalation. Meanwhile, young viewers—especially impressionable teens—are being trained from their first scroll. The hyper-sexualization of children and teens on these platforms is no longer fringe; it’s algorithmic mainstream. Algorithms actively promote self-sexualized content from users as young as 12 because it drives insane engagement metrics. The Hidden Cultural and Psychological Cost This isn’t harmless entertainment. Constant exposure to vulgar, objectifying content is rewiring expectations: - Relationships become transactional and appearance-obsessed. - Body image issues explode among both boys and girls. - Respect, consent, and emotional depth take a backseat to shock value and dopamine hits. - A generation is learning that the fastest path to fame and money is self-objectification. India’s rich cultural heritage—rooted in restraint, family values, and spiritual depth—is being drowned out by a globalized, profit-driven race to the bottom. The same platforms that once promised connection and creativity are now the biggest distributors of cultural decay. It’s Not Just Creators—It’s Us Here’s the uncomfortable truth: every view, like, share, and subscription is a vote. We are the demand side of this supply chain. When we reward vulgarity, platforms and creators respond with more of it. The algorithm doesn’t have morals—it has metrics. We do. What Needs to Change—Now 1. Platforms must be held accountable. The government’s recent push for faster takedowns (now down to hours in some cases) and age-based classification of digital content is a start. But enforcement must be consistent and transparent. 2. Creators must choose integrity over virality. Real influence comes from substance, not skin. 3. Parents and educators need to wake up and actively monitor, discuss, and limit exposure. 4. Users must vote with their thumbs—follow, share, and pay for content that elevates rather than degrades. The sudden rise of vulgar content in India isn’t accidental. It’s the predictable outcome of unchecked algorithms meeting human greed in a hyper-connected society. If we don’t interrupt this cycle now, we won’t just lose our feeds—we’ll lose the values that define us as a civilization. The question isn’t whether this content exists. The question is: what kind of India are we building—one scroll at a time? What do you think—have you noticed this shift in your own feed? Drop your thoughts below. Let’s start the conversation that actually matters.

India's Vulgar Content Crisis: How Algorithms, Greed, and the Erosion of a Generation Are Colliding in 2026 In 2026, open any Indian teenager’s Instagram or YouTube Shorts feed and you’ll see it: a relentless stream of suggestive reels, borderline explicit dances, and creators pushing every boundary for clicks. What began as occasional “bold” content has now become the default algorithm diet for millions. This isn’t organic cultural evolution—it’s engineered addiction, fueled by cold, hard incentives that reward the raciest material while quietly reshaping an entire generation’s sense of normal. The Numbers Don’t Lie—And They’re Alarming Official data from the National Cyber Crime Reporting Portal shows a staggering 76,657 complaints of cybercrimes against women in 2025 alone—an increase of over 28,000 cases from the previous year. Sexually obscene material topped the list with 37,743 reports, followed closely by sexually explicit acts. At the same time, the government has issued repeated advisories to platforms demanding immediate removal of “obscene, vulgar, pornographic” content, warning of legal consequences for non-compliance. Yet the flood continues. Why? Because the system is designed to reward it. The Algorithm’s Poisonous Incentive Loop Social media platforms don’t care about culture—they care about watch time, comments, shares, and subscriptions. Provocative, sexually charged content consistently outperforms everything else: - Reels with “bold” hooks get 2–3x more watch time. - Controversial or suggestive posts trigger 4x more comments and shares. - Once a creator dips into semi-nude, twerking, or heavily sexualized fitness/glamour content, the algorithm pushes it harder—because engagement skyrockets. Creators aren’t stupid. Many started with dance, fashion, or comedy. Then they noticed the pattern: a slightly suggestive thumbnail or outfit = exponential growth. Instagram’s subscription model (where fans pay monthly for “exclusive” content) has turned this into a direct revenue stream. The more explicit the tease, the more subscribers pay to see what’s behind the paywall. It’s not art. It’s calculated escalation. Meanwhile, young viewers—especially impressionable teens—are being trained from their first scroll. The hyper-sexualization of children and teens on these platforms is no longer fringe; it’s algorithmic mainstream. Algorithms actively promote self-sexualized content from users as young as 12 because it drives insane engagement metrics. The Hidden Cultural and Psychological Cost This isn’t harmless entertainment. Constant exposure to vulgar, objectifying content is rewiring expectations: - Relationships become transactional and appearance-obsessed. - Body image issues explode among both boys and girls. - Respect, consent, and emotional depth take a backseat to shock value and dopamine hits. - A generation is learning that the fastest path to fame and money is self-objectification. India’s rich cultural heritage—rooted in restraint, family values, and spiritual depth—is being drowned out by a globalized, profit-driven race to the bottom. The same platforms that once promised connection and creativity are now the biggest distributors of cultural decay. It’s Not Just Creators—It’s Us Here’s the uncomfortable truth: every view, like, share, and subscription is a vote. We are the demand side of this supply chain. When we reward vulgarity, platforms and creators respond with more of it. The algorithm doesn’t have morals—it has metrics. We do. What Needs to Change—Now 1. Platforms must be held accountable. The government’s recent push for faster takedowns (now down to hours in some cases) and age-based classification of digital content is a start. But enforcement must be consistent and transparent. 2. Creators must choose integrity over virality. Real influence comes from substance, not skin. 3. Parents and educators need to wake up and actively monitor, discuss, and limit exposure. 4. Users must vote with their thumbs—follow, share, and pay for content that elevates rather than degrades. The sudden rise of vulgar content in India isn’t accidental. It’s the predictable outcome of unchecked algorithms meeting human greed in a hyper-connected society. If we don’t interrupt this cycle now, we won’t just lose our feeds—we’ll lose the values that define us as a civilization. The question isn’t whether this content exists. The question is: what kind of India are we building—one scroll at a time? What do you think—have you noticed this shift in your own feed? Drop your thoughts below. Let’s start the conversation that actually matters.

MOHINI WEALTH (NRI)

520,236 görüntüleme • 4 ay önce

Most social media tools suck. (I've tried them all over 7 years of doing this). They claim to help you go viral. They claim that you'll grow fast on social media. They claim that they'll make it easy on you, so you can just grow your following without having any form of skill or understanding. And now they're trying to go fully agentic, which only works if you know what you're doing (we'll talk about that later, we built the MCP for social media). Plus, when everyone has an advantage, it is no longer an advantage. I promise you, I love AI, but having it write everything for you, especially as a beginner, is a death sentence. You may get lucky and have one, two, or three posts do well. You may gain a lot of followers (because that's what they promise to get you to buy), but then what? Can you replicate it? Does your audience actually care about who you are? Or are you just a one hit wonder like every other creator who tries to get-followers-quick? The creators you love... the ones who put out ideas that actually change your life, understand that the creative process (capturing, resurfacing, and synthesizing ideas) is your competitive edge when everyone is racing to put out as much slop as possible. So we built an actual solution. For the people who know deep down that the toys and gimmicks being marketed to you aren't a long term strategy. It's called Eden. The second brain for creators. It has every scheduling, analytics, auto-dm, and outlier research (for all platforms) features that everyone else has - built by someone who knows what's useful and what's not. But it also has the ideation process built in, which cannot be skipped. Here's what it looks like, and how to write a post people actually care about: 1) Save inspiration from anywhere (and read + highlight) Capturing ideas, posts, links, and highlights inside of an agent or AI chat sounds like hell. Not everything needs to, or should be, jammed into a chat UI. In Eden you can: - Paste any social post link (we transcribe any post) - Integrate with Kindle, Snipd, or Readwise - Pull in X or Substack bookmarks - Jot down quick ideas or write inside docs - Open any YouTube transcript or article in Reader mode and highlight it We auto-categorize and tag everything for you, so our Deep Synthesis agent can find novel connections and relations across your library - making it easy to surface idaes you thought you lost. 2) Research what's working, study top creators Outlier tools are the bread and butter for every creator. When you do research for a YouTube video, you look for high performing titles and thumbnails, and you study what worked for others. But what about every other platform? We have a social corpus of 3m+ posts across all platforms and growing. You can scroll the Discover page for inspiration, search any creator and filter by top posts, or use Deep Social in the AI chat to search across all of them. This is what gives the MCP access to trending topics without scraping millions of posts yourself. 3) Create with everything in one place, build swipe files I don't think I will ever give up writing. I love sitting down in the morning, opening up a page, researching good ideas, and turning it into something worth sharing. In Eden, you work on Boards. You can paste social posts and build shareable swipe files, or you can add your outlines and drafts while having your library, chat, or ideas open right next to it. 4) Chat with anything to get the information you need Claude and ChatGPT are essential, but they are blind. They can't read social links. They can't see what's trending. When you're writing scripts, articles, posts, or drafts - you need to be able to pull information from the sources you research. In today's world, that usually means social posts, YouTube videos, and articles. 5) Draft, schedule, and publish to all platforms X, Instagram, LinkedIn, Substack, Threads, TikTok, and YouTube shorts. And yes, we are one of the first to support article scheduling to X and Substack. You don't have to copy paste to every platform anymore. You simply write, schedule, and let it go out to all platforms. 6) Or do it all from the MCP I don't believe that the future of content is fully agentic. But, that doesn't mean that AI can't help with researching top posts, ideation, and scheduling content. You do the writing and thinking, let AI handle the busy work and resurfacing of ideas you need to find. With Eden, you don't need to give up your Claude, Hermes, or other agentic workflows. You simply connect the MCP and now you can build your own agentic content system, if that's your cup of tea. Eden is the Social Media MCP. You don't have to pay for scrapers anymore. You can finally access trends, any social link, and any account. You can access your analytics, build content dashboards with our infrastructure (that you don't need to maintain as a full time job), and post. We've actually built 4 skills for deep topic research, personal brand strategy, building a content command center, and more - we'll link those below. All in all: If you're a creator, Eden is your base. It's where you write, research, and publish every single day. Try it free below:

DAN KOE

115,292 görüntüleme • 12 gün önce

let’s start where this actually lives, not where you want it to live. with the math. the last three weeks of dynamite: 👉 765k 👉 730k 👉 654k that is not a ramp. that is not momentum. that is not “heating up” into a conversion window. that is a decline into it. you are looking at a -111k drop in two weeks, roughly 14–15% contraction from the high to the low, at the exact point where a traditional ppv cycle should be stabilizing or expanding. instead, you have compression. average those three weeks and you land at roughly ~716k linear viewers. that is your real, observable, measurable audience. not hypothetical reach not cumulative impressions not social engagement proxies actual people sitting down and watching the show in the time slot that matters for conversion. i’ve already laid out in detail what the max numbers actually represent and how simulcast behavior works, so i’m not going to re-litigate all of that here. but it matters enough to say again clearly: max is not a second audience at scale. it is a distribution extension that splits the same audience. it does not double your reach. it does not materially expand your funnel. it shifts a portion of existing behavior from one pipe to another. the short version is already established: 👉 max is not additive at scale 👉 max is a split of the same audience 👉 max realistically contributes ~50k–150k, ~75k center so your total reachable audience on a good night is: 👉 ~790k–800k all-in that’s the funnel. that’s the ceiling. that’s the number you are working from. that’s the universe that can possibly convert into a paid transaction. not hypothetical not inflated not “what if” that is the real audience number. now take the number dave is floating: 👉 ~143k ppv buys run the only equation that matters: 👉 143k ÷ 800k = ~17.9% conversion stop there for a second Dave Meltzer is unironically asserting that nearly 1 out of every 5 viewers is converting into a $40–$50 transaction in 2026 in a market with: – no centralized ppv infrastructure – subscription-first behavior – widespread piracy – fragmented pricing (domestic, max discount, vpn international) – a declining weekly audience trend that is the claim. not “strong performance.” not “better than expected.” not “up year over year.” the claim is nearly 1 in 5 viewers converting into a $40–$50 transaction in 2026. this is where the conversation should end, because that number does not exist anywhere in modern media behavior. it doesn’t exist in boxing. it doesn’t exist in ufc. it doesn’t exist in any scaled transactional model operating in the current environment. and more importantly, it didn’t exist consistently even when the infrastructure supporting it was intact. again, this is the part people either don’t understand or choose to ignore: ppv is not just a pricing model. it is an infrastructure model. and that infrastructure is gone. for decades, the backbone of ppv was inDemand. that system wasn’t just pushing content out to cable homes. it was aggregating buys, standardizing reporting, and creating a reconciliation layer that allowed promoters, distributors, and networks to operate off the same dataset. if you were serious about this business, you could triangulate numbers. you could get within a narrow band of reality because the pipes were real and the accounting was shared. that system shut down in 2025. 👉 143k ppv buys is not an aggressive take 👉 it is not an optimistic take 👉 it is a structurally impossible take because we know what real conversion looks like. we do not need to guess. it has been modeled across combat sports, boxing, ufc, and multiple transactional platforms. the ranges are stable: 👉 1–3% → normal 👉 3–5% → strong 👉 5%+ → elite and rare, reserved for events with massive cultural heat and crossover appeal those ranges were established when the infrastructure was intact, pricing was more controlled, piracy was less frictionless, and distribution was more centralized. today, every one of those conditions is worse. pricing is fragmented. you have $49.99 standard, $39.99 through max, international pricing accessible through vpn, and a piracy environment where high-quality streams are available instantly. that is a high-friction, high-leakage system. so conversion should compress, not expand. now apply real-world conversion to your real audience: 👉 800k × 2% = 16k buys 👉 800k × 3% = 24k buys 👉 800k × 5% = 40k buys that’s your range. 👉 ~15k–35k realistic 👉 ~20k–30k as the most defensible center 👉 ~40k reasonable given the strength of the headliners now invert the math, because this is where the claim completely collapses. if you want to justify 143k buys at even a healthy 3% conversion rate, you need roughly 4.7 million engaged viewers. so the question becomes extremely simple: where are the other four million people? 👉they are not on linear television. 👉they are not on max. 👉they are not showing up in any digital engagement metrics that correlate with that level of demand. 👉they are not visible anywhere in the ecosystem that would need to exist to support that level of conversion. 👉👉👉👉👉 they do not exist. and this is before you even account for the trend line moving the wrong way. you are not converting off a growing base. you are converting off a shrinking one. you are not building urgency. you are losing reach. that matters, because conversion does not happen in a vacuum. it happens on top of momentum, visibility, and audience expansion. when those inputs are declining, conversion does not spike to historic highs. it compresses further. the biggest fights in the world are no longer relying on ppv as their primary distribution model. they are moving to platforms that guarantee reach and revenue up front. the most recent example should end this conversation for anyone actually paying attention: netflix just locked tyson fury vs anthony joshua for a major global fight this august. that is one of the biggest possible matchups in boxing. in any previous era, that is a premium ppv event with massive buy expectations, heavy marketing, and a full transactional rollout. instead, it is going to a subscription platform. why? because the economics are better. the reach is global. the friction is lower. the platform values engagement at scale over one-off purchases. that is where the industry is. so when you are being asked to believe that a weekly wrestling property with a ~700k linear audience, declining into its ppv window, is somehow generating six-figure transactional buys inside a subscription platform in 2026, you are not just being asked to accept a number. dave is asking you to ignore the direction of the entire market. and that’s before you even bring in platform behavior. max is not a live sports-first platform. it does not behave like one. when max has something it cares about, it promotes it aggressively. homepage rails. push notifications. press releases. talent integration. cross-platform amplification. you do not see that here. and that absence is not accidental. platforms surface what they want you to see. they amplify what drives engagement and revenue. if ppv at scale were happening inside that ecosystem, it would be visible. it would be part of the narrative. it would be monetized loudly. it isn’t. and that’s before you even factor in the other variables i’ve broken down in detail before: 👉 i’ve already debunked why the max numbers people are throwing around don’t make sense 👉 i’ve already explained what the linear number actually represents and what it doesn’t 👉 i’ve already mapped the media rights landscape in 2026, including how these properties are being evaluated ahead of the paramount–wbd merger the wsj reports could close as early as july so when you’re being told by dave that a property with a ~700k weekly audience trending downward into a ppv window is generating six-figure transactional buys at premium pricing inside a subscription platform in 2026, you’re not being given data. you’re being given a number that does not reconcile with anything else in the system. that’s math. stop it - 45

let’s start where this actually lives, not where you want it to live. with the math. the last three weeks of dynamite: 👉 765k 👉 730k 👉 654k that is not a ramp. that is not momentum. that is not “heating up” into a conversion window. that is a decline into it. you are looking at a -111k drop in two weeks, roughly 14–15% contraction from the high to the low, at the exact point where a traditional ppv cycle should be stabilizing or expanding. instead, you have compression. average those three weeks and you land at roughly ~716k linear viewers. that is your real, observable, measurable audience. not hypothetical reach not cumulative impressions not social engagement proxies actual people sitting down and watching the show in the time slot that matters for conversion. i’ve already laid out in detail what the max numbers actually represent and how simulcast behavior works, so i’m not going to re-litigate all of that here. but it matters enough to say again clearly: max is not a second audience at scale. it is a distribution extension that splits the same audience. it does not double your reach. it does not materially expand your funnel. it shifts a portion of existing behavior from one pipe to another. the short version is already established: 👉 max is not additive at scale 👉 max is a split of the same audience 👉 max realistically contributes ~50k–150k, ~75k center so your total reachable audience on a good night is: 👉 ~790k–800k all-in that’s the funnel. that’s the ceiling. that’s the number you are working from. that’s the universe that can possibly convert into a paid transaction. not hypothetical not inflated not “what if” that is the real audience number. now take the number dave is floating: 👉 ~143k ppv buys run the only equation that matters: 👉 143k ÷ 800k = ~17.9% conversion stop there for a second Dave Meltzer is unironically asserting that nearly 1 out of every 5 viewers is converting into a $40–$50 transaction in 2026 in a market with: – no centralized ppv infrastructure – subscription-first behavior – widespread piracy – fragmented pricing (domestic, max discount, vpn international) – a declining weekly audience trend that is the claim. not “strong performance.” not “better than expected.” not “up year over year.” the claim is nearly 1 in 5 viewers converting into a $40–$50 transaction in 2026. this is where the conversation should end, because that number does not exist anywhere in modern media behavior. it doesn’t exist in boxing. it doesn’t exist in ufc. it doesn’t exist in any scaled transactional model operating in the current environment. and more importantly, it didn’t exist consistently even when the infrastructure supporting it was intact. again, this is the part people either don’t understand or choose to ignore: ppv is not just a pricing model. it is an infrastructure model. and that infrastructure is gone. for decades, the backbone of ppv was inDemand. that system wasn’t just pushing content out to cable homes. it was aggregating buys, standardizing reporting, and creating a reconciliation layer that allowed promoters, distributors, and networks to operate off the same dataset. if you were serious about this business, you could triangulate numbers. you could get within a narrow band of reality because the pipes were real and the accounting was shared. that system shut down in 2025. 👉 143k ppv buys is not an aggressive take 👉 it is not an optimistic take 👉 it is a structurally impossible take because we know what real conversion looks like. we do not need to guess. it has been modeled across combat sports, boxing, ufc, and multiple transactional platforms. the ranges are stable: 👉 1–3% → normal 👉 3–5% → strong 👉 5%+ → elite and rare, reserved for events with massive cultural heat and crossover appeal those ranges were established when the infrastructure was intact, pricing was more controlled, piracy was less frictionless, and distribution was more centralized. today, every one of those conditions is worse. pricing is fragmented. you have $49.99 standard, $39.99 through max, international pricing accessible through vpn, and a piracy environment where high-quality streams are available instantly. that is a high-friction, high-leakage system. so conversion should compress, not expand. now apply real-world conversion to your real audience: 👉 800k × 2% = 16k buys 👉 800k × 3% = 24k buys 👉 800k × 5% = 40k buys that’s your range. 👉 ~15k–35k realistic 👉 ~20k–30k as the most defensible center 👉 ~40k reasonable given the strength of the headliners now invert the math, because this is where the claim completely collapses. if you want to justify 143k buys at even a healthy 3% conversion rate, you need roughly 4.7 million engaged viewers. so the question becomes extremely simple: where are the other four million people? 👉they are not on linear television. 👉they are not on max. 👉they are not showing up in any digital engagement metrics that correlate with that level of demand. 👉they are not visible anywhere in the ecosystem that would need to exist to support that level of conversion. 👉👉👉👉👉 they do not exist. and this is before you even account for the trend line moving the wrong way. you are not converting off a growing base. you are converting off a shrinking one. you are not building urgency. you are losing reach. that matters, because conversion does not happen in a vacuum. it happens on top of momentum, visibility, and audience expansion. when those inputs are declining, conversion does not spike to historic highs. it compresses further. the biggest fights in the world are no longer relying on ppv as their primary distribution model. they are moving to platforms that guarantee reach and revenue up front. the most recent example should end this conversation for anyone actually paying attention: netflix just locked tyson fury vs anthony joshua for a major global fight this august. that is one of the biggest possible matchups in boxing. in any previous era, that is a premium ppv event with massive buy expectations, heavy marketing, and a full transactional rollout. instead, it is going to a subscription platform. why? because the economics are better. the reach is global. the friction is lower. the platform values engagement at scale over one-off purchases. that is where the industry is. so when you are being asked to believe that a weekly wrestling property with a ~700k linear audience, declining into its ppv window, is somehow generating six-figure transactional buys inside a subscription platform in 2026, you are not just being asked to accept a number. dave is asking you to ignore the direction of the entire market. and that’s before you even bring in platform behavior. max is not a live sports-first platform. it does not behave like one. when max has something it cares about, it promotes it aggressively. homepage rails. push notifications. press releases. talent integration. cross-platform amplification. you do not see that here. and that absence is not accidental. platforms surface what they want you to see. they amplify what drives engagement and revenue. if ppv at scale were happening inside that ecosystem, it would be visible. it would be part of the narrative. it would be monetized loudly. it isn’t. and that’s before you even factor in the other variables i’ve broken down in detail before: 👉 i’ve already debunked why the max numbers people are throwing around don’t make sense 👉 i’ve already explained what the linear number actually represents and what it doesn’t 👉 i’ve already mapped the media rights landscape in 2026, including how these properties are being evaluated ahead of the paramount–wbd merger the wsj reports could close as early as july so when you’re being told by dave that a property with a ~700k weekly audience trending downward into a ppv window is generating six-figure transactional buys at premium pricing inside a subscription platform in 2026, you’re not being given data. you’re being given a number that does not reconcile with anything else in the system. that’s math. stop it - 45

Nick LoPiccolo

20,695 görüntüleme • 4 ay önce

🐬🐬🐬PI NETWORK NEWS: Pi Network and the 100 Apps Ready for Mainnet: Understand Clearly, Wait Patiently, and Build Together 1. Frequently Asked Question: “Where Are the Promised 100 Apps?” As Pi Network progresses toward a truly decentralized blockchain ecosystem, the community naturally wonders: Where are the 100 decentralized applications (dApps) that were promised to be ready for Mainnet? This is a perfectly valid question, showing the community’s interest in the pace of ecosystem development and the role of the Pi Core Team in driving innovation. 2. The Pi Core Team Doesn’t Build Everything – The Community Is the Heart of the Ecosystem The key point to understand is: Pi Network is a community-driven project. The Pi Core Team is not responsible for building all the apps. Their focus is on building the infrastructure, tools, and a safe environment – empowering external developers to independently create and deploy applications. Pi provides: - An optimized blockchain platform for mobile devices - SDKs, APIs, and developer documentation - A governance model that encourages innovation 3. Early Stage: Community-Built dApps – Underfunded But Passionate In the early stages, many applications were created by passionate pioneers, self-funded and full of creativity. However, due to budget limitations, most of these apps remained in experimental or prototype form, not yet ready for wide-scale deployment. Despite their early-stage nature, these apps played a crucial role in demonstrating Pi's blockchain potential and encouraging broader developer engagement. 4. A New Turning Point: $100 Million Ecosystem Fund and Pi Network Ventures A major change has arrived: Pi Network Ventures and a $100 million ecosystem fund have officially launched. This brings: - Strong financial support to upgrade promising apps - Opportunities to scale and enhance advanced features - Marketing assistance, user acquisition support, and long-term sustainability This is a decisive push paving the way for a wave of high-quality dApps ready for Mainnet. 5. A Diverse, Decentralized Ecosystem Built by the Community The Pi Core Team does not control everything but builds the foundation for an open ecosystem, where developers, entrepreneurs, and the community play leading roles. This decentralization helps to: - Increase application diversity - Avoid reliance on a single entity - Encourage collaboration and innovation from many directions 6. 100+ Apps Will Soon Arrive – And It’s More Than Just a Number As funding, tools, and community momentum converge, an app explosion is predictable: More than 100 dApps ready for Mainnet will soon emerge, spanning areas like: - Decentralized finance (DeFi) - Gaming (GameFi) - Social media - Supply chain - Payments, asset management, and more This will expand Pi’s real-world utility, attract more users, and strengthen Pi Network’s position in the Web3 space. 7. Why Patience and Cooperation Are Essential Building a global-scale blockchain ecosystem does not happen overnight. It requires: - Solid technology - Passionate development teams - A resilient and collaborative community - Time for products to mature and prove their value The patience and contributions of pioneers like you are the driving force of this journey. 8. A Broad Vision: Web3 and Social Impact The future of Pi Network is not just about technical platforms: It is about a connected ecosystem with social and economic impact, serving billions of people, not just a privileged few. With a focus on inclusive, meaningful, user-friendly applications, Pi is preparing for a fair and inclusive Web3 future. ✅Conclusion: 100+ Apps – Not Just an Empty Promise, But a Realization in Progress The question “Where are the 100 apps?” is fair. But more importantly, you need to know that: - The infrastructure is ready - The funding is available - The community is building continuously And you – the pioneer – are part of the answer. Be patient, collaborate, and support the developers and fellow pioneers. Because the future of Pi Network does not belong to just a few, it belongs to all of us working together.🐬🐬🐬 ------------------------- 🥰 P.S.: The Global GCV Core Team welcomes pioneers from around the world to work together to build a strong GCV-based Pi economy. Let’s co-create the future—united and strong! 📢 Join the global Pi movement on Telegram: [ ------------------------- 👉 Please Like, Share, and Comment to support the Pi Network’s global expansion! Your voice matters! 🥰 Pi Network Doris Yin 东方紫莲🪷 Lumari 🦋 NONNY PADJA NTT ❤ Eagle woman 🦅 @MoretopMovie M.Rad Olivier Ndatimana PATRICK CHUA KIAVASH brave Lee Mazi victor onyido Cherif A.I Herine Makosewe love life 2025 Mohammed Alademi Daniel Chen PiGCV_Spain西班牙 EDIER ALONSO RINCON @tkst RAMESH SHETTY hoda448🪷 Ganhoumeto dossou expedit ange Atty. Ebru 👑 Pi’N’Q Rabbit Av. N. Uğur Kadifeci solival Art💜" Global GCV Ambassador 🇫🇷 "💜

🐬🐬🐬PI NETWORK NEWS: Pi Network and the 100 Apps Ready for Mainnet: Understand Clearly, Wait Patiently, and Build Together 1. Frequently Asked Question: “Where Are the Promised 100 Apps?” As Pi Network progresses toward a truly decentralized blockchain ecosystem, the community naturally wonders: Where are the 100 decentralized applications (dApps) that were promised to be ready for Mainnet? This is a perfectly valid question, showing the community’s interest in the pace of ecosystem development and the role of the Pi Core Team in driving innovation. 2. The Pi Core Team Doesn’t Build Everything – The Community Is the Heart of the Ecosystem The key point to understand is: Pi Network is a community-driven project. The Pi Core Team is not responsible for building all the apps. Their focus is on building the infrastructure, tools, and a safe environment – empowering external developers to independently create and deploy applications. Pi provides: - An optimized blockchain platform for mobile devices - SDKs, APIs, and developer documentation - A governance model that encourages innovation 3. Early Stage: Community-Built dApps – Underfunded But Passionate In the early stages, many applications were created by passionate pioneers, self-funded and full of creativity. However, due to budget limitations, most of these apps remained in experimental or prototype form, not yet ready for wide-scale deployment. Despite their early-stage nature, these apps played a crucial role in demonstrating Pi's blockchain potential and encouraging broader developer engagement. 4. A New Turning Point: $100 Million Ecosystem Fund and Pi Network Ventures A major change has arrived: Pi Network Ventures and a $100 million ecosystem fund have officially launched. This brings: - Strong financial support to upgrade promising apps - Opportunities to scale and enhance advanced features - Marketing assistance, user acquisition support, and long-term sustainability This is a decisive push paving the way for a wave of high-quality dApps ready for Mainnet. 5. A Diverse, Decentralized Ecosystem Built by the Community The Pi Core Team does not control everything but builds the foundation for an open ecosystem, where developers, entrepreneurs, and the community play leading roles. This decentralization helps to: - Increase application diversity - Avoid reliance on a single entity - Encourage collaboration and innovation from many directions 6. 100+ Apps Will Soon Arrive – And It’s More Than Just a Number As funding, tools, and community momentum converge, an app explosion is predictable: More than 100 dApps ready for Mainnet will soon emerge, spanning areas like: - Decentralized finance (DeFi) - Gaming (GameFi) - Social media - Supply chain - Payments, asset management, and more This will expand Pi’s real-world utility, attract more users, and strengthen Pi Network’s position in the Web3 space. 7. Why Patience and Cooperation Are Essential Building a global-scale blockchain ecosystem does not happen overnight. It requires: - Solid technology - Passionate development teams - A resilient and collaborative community - Time for products to mature and prove their value The patience and contributions of pioneers like you are the driving force of this journey. 8. A Broad Vision: Web3 and Social Impact The future of Pi Network is not just about technical platforms: It is about a connected ecosystem with social and economic impact, serving billions of people, not just a privileged few. With a focus on inclusive, meaningful, user-friendly applications, Pi is preparing for a fair and inclusive Web3 future. ✅Conclusion: 100+ Apps – Not Just an Empty Promise, But a Realization in Progress The question “Where are the 100 apps?” is fair. But more importantly, you need to know that: - The infrastructure is ready - The funding is available - The community is building continuously And you – the pioneer – are part of the answer. Be patient, collaborate, and support the developers and fellow pioneers. Because the future of Pi Network does not belong to just a few, it belongs to all of us working together.🐬🐬🐬 ------------------------- 🥰 P.S.: The Global GCV Core Team welcomes pioneers from around the world to work together to build a strong GCV-based Pi economy. Let’s co-create the future—united and strong! 📢 Join the global Pi movement on Telegram: [ ------------------------- 👉 Please Like, Share, and Comment to support the Pi Network’s global expansion! Your voice matters! 🥰 Pi Network Doris Yin 东方紫莲🪷 Lumari 🦋 NONNY PADJA NTT ❤ Eagle woman 🦅 @MoretopMovie M.Rad Olivier Ndatimana PATRICK CHUA KIAVASH brave Lee Mazi victor onyido Cherif A.I Herine Makosewe love life 2025 Mohammed Alademi Daniel Chen PiGCV_Spain西班牙 EDIER ALONSO RINCON @tkst RAMESH SHETTY hoda448🪷 Ganhoumeto dossou expedit ange Atty. Ebru 👑 Pi’N’Q Rabbit Av. N. Uğur Kadifeci solival Art💜" Global GCV Ambassador 🇫🇷 "💜

JoJo-π

19,017 görüntüleme • 1 yıl önce

CANCEL Your Weekend Plans, and Learn Claude Code Today. $5,000/month. $10,000/month. $20,000/month. People are building entire apps and charging clients thousands using Claude Code. You're still Googling 'how to center a div.' While you're binge-watching a show you won't remember next week, a 19 year old with zero coding experience just built a $5,000 SaaS product in one afternoon using the tool I'm about to break down. Same laptop. Same internet. Same 24 hours. He has Claude Code. You have Netflix. That's the only difference. This YouTube video is a goldmine. Full Claude Code tutorial. Beginner to pro. Every feature. Every setup step. Every best practice. Zero prior knowledge needed. Save it. Watch it tonight. Not tomorrow. Tonight. Save this post. This is your complete Claude Code roadmap. Lose it and you lose the next 12 months of income. Follow Himanshu Kumar so you don't miss the breakdowns for each feature. ↓ 1. Understand What Claude Code Actually Is. You think Claude Code is just another chatbot. It's not. And that misunderstanding is why you're broke. ChatGPT gives you text. Claude Code gives you software. It runs in your terminal. It reads your entire codebase. It writes files directly to your project. It runs commands on your machine. It debugs errors autonomously. It builds features end to end. You're not chatting. You're deploying a developer. One that works 24/7. Never asks for a raise. Never calls in sick. Never pushes broken code at 5 PM on a Friday. People are charging clients $5,000-$10,000 for apps they built with Claude Code in 3 hours. And you didn't even know this tool existed because you're still asking ChatGPT to write you a to-do list. The gap between you and people making money with AI isn't intelligence. It's awareness. Now you're aware. Save this post. Follow Himanshu Kumar for the complete breakdown of every Claude Code feature. ↓ 2. Set Up Claude Code Properly. Most people quit here. "It's too complicated." "I don't know terminal." "I'll set it up later." Later never comes. And "complicated" means "I watched for 30 seconds and gave up." The setup takes 10 minutes. Install Node.js. Install Claude Code via npm. Authenticate your account. Open your terminal. Done. 10 minutes. You spent longer this morning deciding what to have for breakfast. The video walks through every single click. Every command. Every screen. Assuming you know absolutely nothing. If you can download an app on your phone, you can set up Claude Code. It's the same level of difficulty. But you'll still tell yourself it's "too technical" because that excuse is more comfortable than admitting you're just scared to try something new. This is the setup that everything else builds on. Skip it and nothing works. ↓ 3. Use the Desktop App. You don't even need to live in the terminal if you don't want to. Claude Code has a desktop app. Clean interface. Visual feedback. Everything you need without touching command line. But here's the thing most people don't know: The desktop app isn't just a pretty wrapper. It lets you manage projects visually. See file changes in real time. Switch between projects instantly. The people making money with Claude Code use the desktop app for client projects because it's faster to manage multiple builds simultaneously. You're still opening 14 browser tabs to organize one project. They open one app and everything's there. Efficiency isn't a personality trait. It's a tool choice. Save this post. Follow Himanshu Kumar for the desktop app workflow that handles 5 client projects at once. ↓ 4. Install the Right Dependencies. This is where beginners silently fail and blame the tool. Claude Code needs certain dependencies installed to work properly. Miss one and everything breaks. Then you go on Twitter and say "Claude Code doesn't work." It works fine. You just didn't read the setup guide. The video covers every dependency you need. What to install. How to install it. How to verify it's working. No guessing. No Stack Overflow rabbit holes at midnight. No "why isn't this working" for 3 hours. Watch the dependency section once. Follow every step. Never deal with setup issues again. You spent more time last week troubleshooting a printer than this takes. ↓ 5. Work Inside Your Code Editor. Claude Code integrates directly with your code editor. VS Code. Cursor. Whatever you use. It's not a separate window you alt-tab between. It's right there. In your workflow. You type a request. Claude writes the code. The code appears in your editor. You review it. Accept it. Done. No copy pasting between windows. No reformatting code that got mangled in transit. No "which version was the right one." It's like pair programming with someone who never gets distracted, never argues about naming conventions, and actually writes code that works on the first try. Your current coding process is: Google the problem, read 5 answers on Stack Overflow, copy the wrong one, debug for an hour, find the right one, paste it in, break something else, repeat. Claude Code's process is: describe what you want, get working code, move on with your life. Same hour. One method produces working software. The other produces frustration and a browser history full of Stack Overflow tabs. Stop coding the hard way. Save this post. Follow Himanshu Kumar for code editor setup guides and integration tips. ↓ 6. Master Basic Usage. Most people learn 5% of a tool and say they "know" it. You "know" Photoshop because you can crop an image. You "know" Excel because you can sum a column. You "know" Claude Code because you asked it one question. Basic usage means: How to give Claude Code context about your project. How to ask for changes to existing code. How to generate new files and features. How to review what Claude produces. How to iterate when the output isn't perfect. These basics are the foundation of everything. Skip them and every advanced feature feels confusing. Master them and every advanced feature feels obvious. The video breaks down each one with real examples. Not theory. Actual usage on actual projects. You've been using AI tools at 5% capacity and wondering why your results are 5% of what others get. Save this post. Follow Himanshu Kumar for daily Claude Code usage tips. ↓ 7. Learn Every Command. Claude Code has commands that most users never discover. Because most users type one message and expect magic. That's not how professionals use it. Professionals use specific commands that tell Claude Code exactly what to do, how to do it, and what constraints to follow. The difference between a beginner and someone making $10K/month with Claude Code is knowing which command to use and when. The video walks through every single one. Not just what they do. But when to use each one. And why one command is better than another for specific situations. You've been using Claude Code like a hammer. These commands turn it into a full toolbox. Stop treating a power tool like a blunt instrument. Save this post. Follow Himanshu Kumar for the command cheat sheet I use daily. ↓ 8. Understand Modes and Shortcuts. Speed matters. The person who builds an app in 2 hours charges $5,000. The person who builds the same app in 2 days charges $2,000. Same app. Same quality. Different speed. Different income. Claude Code has modes that change how it operates. And shortcuts that cut your workflow time in half. Most people don't know either exists. They use Claude Code in default mode for everything. Like driving a car in first gear on the highway. Technically it works. But everyone is passing you. The video shows you every mode. Every shortcut. Every time-saving trick that separates the people charging $2,000 per project from the people charging $10,000. Speed is money. Literally. Save this post. Follow Himanshu Kumar for the shortcuts that cut my build time by 60%. ↓ 9. Write a Proper Planning Prompt. This is the section that separates amateurs from professionals. And it's the section most people skip. A planning prompt tells Claude Code what you're building before you start building it. Architecture. File structure. Technologies. Features. Constraints. Edge cases. Without a planning prompt, Claude Code guesses. And guessing produces garbage. With a planning prompt, Claude Code executes a clear plan. And clear plans produce working software. The video shows you exactly how to write a planning prompt that makes Claude Code produce professional-grade output on the first try. "But I just want to start coding." That's why your code breaks every time. That's why you restart projects 4 times. That's why nothing you build ever gets finished. Because you refuse to plan. A 5-minute planning prompt saves you 5 hours of debugging. But you'd rather skip the 5 minutes and suffer through the 5 hours because patience isn't your thing. And that's exactly why you're not making money. Planning is the most underpaid skill in coding. And the most overpaid when you master it. Save this post. Follow Himanshu Kumar for the planning prompt templates I use for every client project. ↓ 10. Choose the Right Model. Claude Code lets you select different AI models. Not all models are the same. Not all tasks need the same model. Using the most powerful model for a simple task wastes credits. Using a basic model for a complex task wastes time. The video explains: Which model to use for quick fixes. Which model to use for complex architecture. Which model to use for debugging. Which model to use for code generation. Most people pick one model and use it for everything. That's like using a sledgehammer to hang a picture frame. Model selection is strategy. And strategy is money. The people making $10K/month with Claude Code are strategic about every credit they spend. You're burning through credits because you use the most expensive model to write a hello world. ↓ 11. Use Git and Version Control. If you're not using version control, you're one mistake away from losing everything. Claude Code integrates with Git. Every change tracked. Every version saved. Every mistake reversible. Without Git: Claude makes a change. It breaks something. You can't undo it. You start over. 3 hours wasted. With Git: Claude makes a change. It breaks something. You roll back in 5 seconds. Keep working. Version control isn't optional. It's insurance. And the people not using it are the same people who say "I lost my entire project" like it's something that just happens. It doesn't just happen. It happens because you didn't set up Git. The video walks through the entire Git integration. Save this post. Follow Himanshu Kumar for the Git workflow that's saved every project I've ever built. ↓ 12. Set Up Claude.MD and Memory. This is the feature that makes Claude Code feel like a real team member instead of a stranger you explain everything to every time. ClaudeMD is a memory file. You tell Claude Code about your project once. It remembers forever. Coding style preferences. Project architecture decisions. Technology stack. File naming conventions. Business logic rules. Without ClaudeMD: Every new conversation starts from zero. You explain the same things repeatedly. Output is inconsistent. With ClaudeMD: Claude knows your project. Claude follows your rules. Claude produces consistent, professional code. The difference between a sloppy freelancer and a reliable agency is consistency. Claude. MD gives you consistency without the agency overhead. Most people don't set this up and wonder why Claude Code gives different answers every time. ↓ 13. Automate with Tasks. This is where Claude Code stops being a tool and starts being an employee. Tasks let you define repeating workflows. "Every time I push code, run tests." "Every time I create a new file, add boilerplate." "Every time I start a session, check for errors." Automated. Hands-free. Consistent. You're doing these things manually every single day. The same checks. The same steps. The same routine. Tasks do them automatically. So you can focus on the work that actually makes money. Every manual task you automate is time you get back. And time is the only thing you can never make more of. Save this post. Follow Himanshu Kumar for the task automation templates that run my entire workflow. ↓ 14. Explore Features Most People Never Touch. The video covers features that 95% of Claude Code users don't know exist. Because they watched a 3-minute TikTok about Claude Code and think they're experts now. They're not. They're using 5% of a tool that can do everything. The full tutorial goes deep into features that most tutorials skip because they're "too advanced." They're not too advanced. They're too valuable for lazy creators to bother explaining. This video explains all of them. Clearly. For beginners. The 5% of features you don't know about are the 5% that make people rich. ↓ Let's zoom out. I just broke down 14 sections of Claude Code. Setup and installation. Desktop app. Dependencies. Code editor integration. Basic usage. Commands. Modes and shortcuts. Planning prompts. Model selection. Git and version control. Memory and Claude. MD. Tasks and automation. Advanced features. All in one video. All free. All beginner friendly. The person who masters even half of these in the next 2 weeks will be in the top 1% of Claude Code users. The top 1% of Claude Code users are the ones charging $5,000-$10,000 per project and building them in a single afternoon. Everyone else is asking ChatGPT to fix their resume. Same tools. Same access. Completely different outcomes. Because one person treats AI like a toy. And the other treats it like a business. ↓ Here's the hard truth nobody wants to hear. You don't have a talent problem. You don't have an intelligence problem. You don't have a resources problem. You have an action problem. Everything I just listed has a free tutorial right here in the attached video. 33 minutes. That's it. 33 minutes to learn the tool that people are using to build $5,000-$20,000/month businesses. You spent more time today scrolling Twitter than it takes to watch this video. You spent more time this week watching Netflix than it takes to master Claude Code basics. You spent more time this month doing nothing than it would take to completely change your income. The information is free. The tool is accessible. The opportunity is here. The only thing missing is you caring enough to start. ↓ CANCEL your plans this week. This isn't optional anymore. The people learning Claude Code right now will be building apps for the people who didn't learn it. That's not a prediction. That's already happening. Companies are replacing $150/hour developers with one person and Claude Code. If you code: learn Claude Code or become half as valuable by next year. If you don't code: learn Claude Code or miss the biggest opportunity to start earning from tech without a CS degree. There's no path forward that doesn't include AI coding tools. None. You have one window. Right now. This week. ↓ Here's your action plan for the next 7 days: Day 1: Watch the full video. Install Claude Code. Set up dependencies. Day 2: Learn basic usage. Try 5 different commands. Day 3: Write your first planning prompt. Build a small project. Day 4: Set up Claude. MD. Configure your memory file. Day 5: Master modes and shortcuts. Build a second project faster. Day 6: Set up Git integration. Automate with tasks. Day 7: Build something real. A tool, an app, a website. Ship it. 7 days. One tool. One completely different skill set. One completely different income potential. Or 7 more days of scrolling Twitter watching other people build things while you "plan to start." Your call. ↓ This is the most important video you'll watch this year. 33 minutes. Complete Claude Code mastery. From zero to building real projects. Save this post. Come back to it every single day this week. Check off each section as you complete it. Follow Himanshu Kumar for daily Claude Code breakdowns, advanced tutorials, and the exact workflows that are turning beginners into $10K/month builders. The only thing between you and $10K/month with Claude Code is this video and 7 days. Don't waste them. You Must Follow me Himanshu Kumar, so i can send you DM.

CANCEL Your Weekend Plans, and Learn Claude Code Today. $5,000/month. $10,000/month. $20,000/month. People are building entire apps and charging clients thousands using Claude Code. You're still Googling 'how to center a div.' While you're binge-watching a show you won't remember next week, a 19 year old with zero coding experience just built a $5,000 SaaS product in one afternoon using the tool I'm about to break down. Same laptop. Same internet. Same 24 hours. He has Claude Code. You have Netflix. That's the only difference. This YouTube video is a goldmine. Full Claude Code tutorial. Beginner to pro. Every feature. Every setup step. Every best practice. Zero prior knowledge needed. Save it. Watch it tonight. Not tomorrow. Tonight. Save this post. This is your complete Claude Code roadmap. Lose it and you lose the next 12 months of income. Follow Himanshu Kumar so you don't miss the breakdowns for each feature. ↓ 1. Understand What Claude Code Actually Is. You think Claude Code is just another chatbot. It's not. And that misunderstanding is why you're broke. ChatGPT gives you text. Claude Code gives you software. It runs in your terminal. It reads your entire codebase. It writes files directly to your project. It runs commands on your machine. It debugs errors autonomously. It builds features end to end. You're not chatting. You're deploying a developer. One that works 24/7. Never asks for a raise. Never calls in sick. Never pushes broken code at 5 PM on a Friday. People are charging clients $5,000-$10,000 for apps they built with Claude Code in 3 hours. And you didn't even know this tool existed because you're still asking ChatGPT to write you a to-do list. The gap between you and people making money with AI isn't intelligence. It's awareness. Now you're aware. Save this post. Follow Himanshu Kumar for the complete breakdown of every Claude Code feature. ↓ 2. Set Up Claude Code Properly. Most people quit here. "It's too complicated." "I don't know terminal." "I'll set it up later." Later never comes. And "complicated" means "I watched for 30 seconds and gave up." The setup takes 10 minutes. Install Node.js. Install Claude Code via npm. Authenticate your account. Open your terminal. Done. 10 minutes. You spent longer this morning deciding what to have for breakfast. The video walks through every single click. Every command. Every screen. Assuming you know absolutely nothing. If you can download an app on your phone, you can set up Claude Code. It's the same level of difficulty. But you'll still tell yourself it's "too technical" because that excuse is more comfortable than admitting you're just scared to try something new. This is the setup that everything else builds on. Skip it and nothing works. ↓ 3. Use the Desktop App. You don't even need to live in the terminal if you don't want to. Claude Code has a desktop app. Clean interface. Visual feedback. Everything you need without touching command line. But here's the thing most people don't know: The desktop app isn't just a pretty wrapper. It lets you manage projects visually. See file changes in real time. Switch between projects instantly. The people making money with Claude Code use the desktop app for client projects because it's faster to manage multiple builds simultaneously. You're still opening 14 browser tabs to organize one project. They open one app and everything's there. Efficiency isn't a personality trait. It's a tool choice. Save this post. Follow Himanshu Kumar for the desktop app workflow that handles 5 client projects at once. ↓ 4. Install the Right Dependencies. This is where beginners silently fail and blame the tool. Claude Code needs certain dependencies installed to work properly. Miss one and everything breaks. Then you go on Twitter and say "Claude Code doesn't work." It works fine. You just didn't read the setup guide. The video covers every dependency you need. What to install. How to install it. How to verify it's working. No guessing. No Stack Overflow rabbit holes at midnight. No "why isn't this working" for 3 hours. Watch the dependency section once. Follow every step. Never deal with setup issues again. You spent more time last week troubleshooting a printer than this takes. ↓ 5. Work Inside Your Code Editor. Claude Code integrates directly with your code editor. VS Code. Cursor. Whatever you use. It's not a separate window you alt-tab between. It's right there. In your workflow. You type a request. Claude writes the code. The code appears in your editor. You review it. Accept it. Done. No copy pasting between windows. No reformatting code that got mangled in transit. No "which version was the right one." It's like pair programming with someone who never gets distracted, never argues about naming conventions, and actually writes code that works on the first try. Your current coding process is: Google the problem, read 5 answers on Stack Overflow, copy the wrong one, debug for an hour, find the right one, paste it in, break something else, repeat. Claude Code's process is: describe what you want, get working code, move on with your life. Same hour. One method produces working software. The other produces frustration and a browser history full of Stack Overflow tabs. Stop coding the hard way. Save this post. Follow Himanshu Kumar for code editor setup guides and integration tips. ↓ 6. Master Basic Usage. Most people learn 5% of a tool and say they "know" it. You "know" Photoshop because you can crop an image. You "know" Excel because you can sum a column. You "know" Claude Code because you asked it one question. Basic usage means: How to give Claude Code context about your project. How to ask for changes to existing code. How to generate new files and features. How to review what Claude produces. How to iterate when the output isn't perfect. These basics are the foundation of everything. Skip them and every advanced feature feels confusing. Master them and every advanced feature feels obvious. The video breaks down each one with real examples. Not theory. Actual usage on actual projects. You've been using AI tools at 5% capacity and wondering why your results are 5% of what others get. Save this post. Follow Himanshu Kumar for daily Claude Code usage tips. ↓ 7. Learn Every Command. Claude Code has commands that most users never discover. Because most users type one message and expect magic. That's not how professionals use it. Professionals use specific commands that tell Claude Code exactly what to do, how to do it, and what constraints to follow. The difference between a beginner and someone making $10K/month with Claude Code is knowing which command to use and when. The video walks through every single one. Not just what they do. But when to use each one. And why one command is better than another for specific situations. You've been using Claude Code like a hammer. These commands turn it into a full toolbox. Stop treating a power tool like a blunt instrument. Save this post. Follow Himanshu Kumar for the command cheat sheet I use daily. ↓ 8. Understand Modes and Shortcuts. Speed matters. The person who builds an app in 2 hours charges $5,000. The person who builds the same app in 2 days charges $2,000. Same app. Same quality. Different speed. Different income. Claude Code has modes that change how it operates. And shortcuts that cut your workflow time in half. Most people don't know either exists. They use Claude Code in default mode for everything. Like driving a car in first gear on the highway. Technically it works. But everyone is passing you. The video shows you every mode. Every shortcut. Every time-saving trick that separates the people charging $2,000 per project from the people charging $10,000. Speed is money. Literally. Save this post. Follow Himanshu Kumar for the shortcuts that cut my build time by 60%. ↓ 9. Write a Proper Planning Prompt. This is the section that separates amateurs from professionals. And it's the section most people skip. A planning prompt tells Claude Code what you're building before you start building it. Architecture. File structure. Technologies. Features. Constraints. Edge cases. Without a planning prompt, Claude Code guesses. And guessing produces garbage. With a planning prompt, Claude Code executes a clear plan. And clear plans produce working software. The video shows you exactly how to write a planning prompt that makes Claude Code produce professional-grade output on the first try. "But I just want to start coding." That's why your code breaks every time. That's why you restart projects 4 times. That's why nothing you build ever gets finished. Because you refuse to plan. A 5-minute planning prompt saves you 5 hours of debugging. But you'd rather skip the 5 minutes and suffer through the 5 hours because patience isn't your thing. And that's exactly why you're not making money. Planning is the most underpaid skill in coding. And the most overpaid when you master it. Save this post. Follow Himanshu Kumar for the planning prompt templates I use for every client project. ↓ 10. Choose the Right Model. Claude Code lets you select different AI models. Not all models are the same. Not all tasks need the same model. Using the most powerful model for a simple task wastes credits. Using a basic model for a complex task wastes time. The video explains: Which model to use for quick fixes. Which model to use for complex architecture. Which model to use for debugging. Which model to use for code generation. Most people pick one model and use it for everything. That's like using a sledgehammer to hang a picture frame. Model selection is strategy. And strategy is money. The people making $10K/month with Claude Code are strategic about every credit they spend. You're burning through credits because you use the most expensive model to write a hello world. ↓ 11. Use Git and Version Control. If you're not using version control, you're one mistake away from losing everything. Claude Code integrates with Git. Every change tracked. Every version saved. Every mistake reversible. Without Git: Claude makes a change. It breaks something. You can't undo it. You start over. 3 hours wasted. With Git: Claude makes a change. It breaks something. You roll back in 5 seconds. Keep working. Version control isn't optional. It's insurance. And the people not using it are the same people who say "I lost my entire project" like it's something that just happens. It doesn't just happen. It happens because you didn't set up Git. The video walks through the entire Git integration. Save this post. Follow Himanshu Kumar for the Git workflow that's saved every project I've ever built. ↓ 12. Set Up Claude.MD and Memory. This is the feature that makes Claude Code feel like a real team member instead of a stranger you explain everything to every time. ClaudeMD is a memory file. You tell Claude Code about your project once. It remembers forever. Coding style preferences. Project architecture decisions. Technology stack. File naming conventions. Business logic rules. Without ClaudeMD: Every new conversation starts from zero. You explain the same things repeatedly. Output is inconsistent. With ClaudeMD: Claude knows your project. Claude follows your rules. Claude produces consistent, professional code. The difference between a sloppy freelancer and a reliable agency is consistency. Claude. MD gives you consistency without the agency overhead. Most people don't set this up and wonder why Claude Code gives different answers every time. ↓ 13. Automate with Tasks. This is where Claude Code stops being a tool and starts being an employee. Tasks let you define repeating workflows. "Every time I push code, run tests." "Every time I create a new file, add boilerplate." "Every time I start a session, check for errors." Automated. Hands-free. Consistent. You're doing these things manually every single day. The same checks. The same steps. The same routine. Tasks do them automatically. So you can focus on the work that actually makes money. Every manual task you automate is time you get back. And time is the only thing you can never make more of. Save this post. Follow Himanshu Kumar for the task automation templates that run my entire workflow. ↓ 14. Explore Features Most People Never Touch. The video covers features that 95% of Claude Code users don't know exist. Because they watched a 3-minute TikTok about Claude Code and think they're experts now. They're not. They're using 5% of a tool that can do everything. The full tutorial goes deep into features that most tutorials skip because they're "too advanced." They're not too advanced. They're too valuable for lazy creators to bother explaining. This video explains all of them. Clearly. For beginners. The 5% of features you don't know about are the 5% that make people rich. ↓ Let's zoom out. I just broke down 14 sections of Claude Code. Setup and installation. Desktop app. Dependencies. Code editor integration. Basic usage. Commands. Modes and shortcuts. Planning prompts. Model selection. Git and version control. Memory and Claude. MD. Tasks and automation. Advanced features. All in one video. All free. All beginner friendly. The person who masters even half of these in the next 2 weeks will be in the top 1% of Claude Code users. The top 1% of Claude Code users are the ones charging $5,000-$10,000 per project and building them in a single afternoon. Everyone else is asking ChatGPT to fix their resume. Same tools. Same access. Completely different outcomes. Because one person treats AI like a toy. And the other treats it like a business. ↓ Here's the hard truth nobody wants to hear. You don't have a talent problem. You don't have an intelligence problem. You don't have a resources problem. You have an action problem. Everything I just listed has a free tutorial right here in the attached video. 33 minutes. That's it. 33 minutes to learn the tool that people are using to build $5,000-$20,000/month businesses. You spent more time today scrolling Twitter than it takes to watch this video. You spent more time this week watching Netflix than it takes to master Claude Code basics. You spent more time this month doing nothing than it would take to completely change your income. The information is free. The tool is accessible. The opportunity is here. The only thing missing is you caring enough to start. ↓ CANCEL your plans this week. This isn't optional anymore. The people learning Claude Code right now will be building apps for the people who didn't learn it. That's not a prediction. That's already happening. Companies are replacing $150/hour developers with one person and Claude Code. If you code: learn Claude Code or become half as valuable by next year. If you don't code: learn Claude Code or miss the biggest opportunity to start earning from tech without a CS degree. There's no path forward that doesn't include AI coding tools. None. You have one window. Right now. This week. ↓ Here's your action plan for the next 7 days: Day 1: Watch the full video. Install Claude Code. Set up dependencies. Day 2: Learn basic usage. Try 5 different commands. Day 3: Write your first planning prompt. Build a small project. Day 4: Set up Claude. MD. Configure your memory file. Day 5: Master modes and shortcuts. Build a second project faster. Day 6: Set up Git integration. Automate with tasks. Day 7: Build something real. A tool, an app, a website. Ship it. 7 days. One tool. One completely different skill set. One completely different income potential. Or 7 more days of scrolling Twitter watching other people build things while you "plan to start." Your call. ↓ This is the most important video you'll watch this year. 33 minutes. Complete Claude Code mastery. From zero to building real projects. Save this post. Come back to it every single day this week. Check off each section as you complete it. Follow Himanshu Kumar for daily Claude Code breakdowns, advanced tutorials, and the exact workflows that are turning beginners into $10K/month builders. The only thing between you and $10K/month with Claude Code is this video and 7 days. Don't waste them. You Must Follow me Himanshu Kumar, so i can send you DM.

Himanshu Kumar

101,793 görüntüleme • 5 ay önce

CANCEL Your Weekend Plans, & Learn Claude Code Today. This Claude Code teaches more about vibe-coding in 30 mins than most tutorials do in hours. Save this, it'll change how you build forever People are building entire apps and charging clients $5,000 to $20,000 using Claude Code. This Claude Code video is a goldmine. Full Claude Code tutorial. Beginner to pro. Every feature. Every setup step. Every best practice. Zero prior knowledge needed. Save it. Watch it tonight. Not tomorrow. Tonight. Follow Himanshu Kumar so you don't miss the breakdowns for each feature. This is your complete Claude Code roadmap. Lose it and you lose the next 12 months of income. ↓ 1. Understand What Claude Code Actually Is. You think Claude Code is just another chatbot. It's not. And that misunderstanding is why you're broke. ChatGPT gives you text. Claude Code gives you software. It runs in your terminal. It reads your entire codebase. It writes files directly to your project. It runs commands on your machine. It debugs errors autonomously. It builds features end to end. You're not chatting. You're deploying a developer. One that works 24/7. Never asks for a raise. Never calls in sick. Never pushes broken code at 5 PM on a Friday. People are charging clients $5,000-$10,000 for apps they built with Claude Code in 3 hours. And you didn't even know this tool existed because you're still asking ChatGPT to write you a to-do list. The gap between you and people making money with AI isn't intelligence. It's awareness. Now you're aware. Save this post. Follow Himanshu Kumar for the complete breakdown of every Claude Code feature. ↓ 2. Set Up Claude Code Properly. Most people quit here. "It's too complicated." "I don't know terminal." "I'll set it up later." Later never comes. And "complicated" means "I watched for 30 seconds and gave up." The setup takes 10 minutes. Install Node.js. Install Claude Code via npm. Authenticate your account. Open your terminal. Done. 10 minutes. You spent longer this morning deciding what to have for breakfast. The video walks through every single click. Every command. Every screen. Assuming you know absolutely nothing. If you can download an app on your phone, you can set up Claude Code. It's the same level of difficulty. But you'll still tell yourself it's "too technical" because that excuse is more comfortable than admitting you're just scared to try something new. This is the setup that everything else builds on. Skip it and nothing works. ↓ 3. Use the Desktop App. You don't even need to live in the terminal if you don't want to. Claude Code has a desktop app. Clean interface. Visual feedback. Everything you need without touching command line. But here's the thing most people don't know: The desktop app isn't just a pretty wrapper. It lets you manage projects visually. See file changes in real time. Switch between projects instantly. The people making money with Claude Code use the desktop app for client projects because it's faster to manage multiple builds simultaneously. You're still opening 14 browser tabs to organize one project. They open one app and everything's there. Efficiency isn't a personality trait. It's a tool choice. Save this post. Follow Himanshu Kumar for the desktop app workflow that handles 5 client projects at once. ↓ 4. Install the Right Dependencies. This is where beginners silently fail and blame the tool. Claude Code needs certain dependencies installed to work properly. Miss one and everything breaks. Then you go on Twitter and say "Claude Code doesn't work." It works fine. You just didn't read the setup guide. The video covers every dependency you need. What to install. How to install it. How to verify it's working. No guessing. No Stack Overflow rabbit holes at midnight. No "why isn't this working" for 3 hours. Watch the dependency section once. Follow every step. Never deal with setup issues again. You spent more time last week troubleshooting a printer than this takes. ↓ 5. Work Inside Your Code Editor. Claude Code integrates directly with your code editor. VS Code. Cursor. Whatever you use. It's not a separate window you alt-tab between. It's right there. In your workflow. You type a request. Claude writes the code. The code appears in your editor. You review it. Accept it. Done. No copy pasting between windows. No reformatting code that got mangled in transit. No "which version was the right one." It's like pair programming with someone who never gets distracted, never argues about naming conventions, and actually writes code that works on the first try. Your current coding process is: Google the problem, read 5 answers on Stack Overflow, copy the wrong one, debug for an hour, find the right one, paste it in, break something else, repeat. Claude Code's process is: describe what you want, get working code, move on with your life. Same hour. One method produces working software. The other produces frustration and a browser history full of Stack Overflow tabs. Stop coding the hard way. Save this post. Follow Himanshu Kumar for code editor setup guides and integration tips. ↓ 6. Master Basic Usage. Most people learn 5% of a tool and say they "know" it. You "know" Photoshop because you can crop an image. You "know" Excel because you can sum a column. You "know" Claude Code because you asked it one question. Basic usage means: How to give Claude Code context about your project. How to ask for changes to existing code. How to generate new files and features. How to review what Claude produces. How to iterate when the output isn't perfect. These basics are the foundation of everything. Skip them and every advanced feature feels confusing. Master them and every advanced feature feels obvious. The video breaks down each one with real examples. Not theory. Actual usage on actual projects. You've been using AI tools at 5% capacity and wondering why your results are 5% of what others get. Save this post. Follow Himanshu Kumar for daily Claude Code usage tips. ↓ 7. Learn Every Command. Claude Code has commands that most users never discover. Because most users type one message and expect magic. That's not how professionals use it. Professionals use specific commands that tell Claude Code exactly what to do, how to do it, and what constraints to follow. The difference between a beginner and someone making $10K/month with Claude Code is knowing which command to use and when. The video walks through every single one. Not just what they do. But when to use each one. And why one command is better than another for specific situations. You've been using Claude Code like a hammer. These commands turn it into a full toolbox. Stop treating a power tool like a blunt instrument. Save this post. Follow Himanshu Kumar for the command cheat sheet I use daily. ↓ 8. Understand Modes and Shortcuts. Speed matters. The person who builds an app in 2 hours charges $5,000. The person who builds the same app in 2 days charges $2,000. Same app. Same quality. Different speed. Different income. Claude Code has modes that change how it operates. And shortcuts that cut your workflow time in half. Most people don't know either exists. They use Claude Code in default mode for everything. Like driving a car in first gear on the highway. Technically it works. But everyone is passing you. The video shows you every mode. Every shortcut. Every time-saving trick that separates the people charging $2,000 per project from the people charging $10,000. Speed is money. Literally. Save this post. Follow Himanshu Kumar for the shortcuts that cut my build time by 60%. ↓ 9. Write a Proper Planning Prompt. This is the section that separates amateurs from professionals. And it's the section most people skip. A planning prompt tells Claude Code what you're building before you start building it. Architecture. File structure. Technologies. Features. Constraints. Edge cases. Without a planning prompt, Claude Code guesses. And guessing produces garbage. With a planning prompt, Claude Code executes a clear plan. And clear plans produce working software. The video shows you exactly how to write a planning prompt that makes Claude Code produce professional-grade output on the first try. "But I just want to start coding." That's why your code breaks every time. That's why you restart projects 4 times. That's why nothing you build ever gets finished. Because you refuse to plan. A 5-minute planning prompt saves you 5 hours of debugging. But you'd rather skip the 5 minutes and suffer through the 5 hours because patience isn't your thing. And that's exactly why you're not making money. Planning is the most underpaid skill in coding. And the most overpaid when you master it. Save this post. Follow Himanshu Kumar for the planning prompt templates I use for every client project. ↓ 10. Choose the Right Model. Claude Code lets you select different AI models. Not all models are the same. Not all tasks need the same model. Using the most powerful model for a simple task wastes credits. Using a basic model for a complex task wastes time. The video explains: Which model to use for quick fixes. Which model to use for complex architecture. Which model to use for debugging. Which model to use for code generation. Most people pick one model and use it for everything. That's like using a sledgehammer to hang a picture frame. Model selection is strategy. And strategy is money. The people making $10K/month with Claude Code are strategic about every credit they spend. You're burning through credits because you use the most expensive model to write a hello world. ↓ 11. Use Git and Version Control. If you're not using version control, you're one mistake away from losing everything. Claude Code integrates with Git. Every change tracked. Every version saved. Every mistake reversible. Without Git: Claude makes a change. It breaks something. You can't undo it. You start over. 3 hours wasted. With Git: Claude makes a change. It breaks something. You roll back in 5 seconds. Keep working. Version control isn't optional. It's insurance. And the people not using it are the same people who say "I lost my entire project" like it's something that just happens. It doesn't just happen. It happens because you didn't set up Git. The video walks through the entire Git integration. Save this post. Follow Himanshu Kumar for the Git workflow that's saved every project I've ever built. ↓ 12. Set Up Claude MD and Memory. This is the feature that makes Claude Code feel like a real team member instead of a stranger you explain everything to every time. ClaudeMD is a memory file. You tell Claude Code about your project once. It remembers forever. Coding style preferences. Project architecture decisions. Technology stack. File naming conventions. Business logic rules. Without ClaudeMD: Every new conversation starts from zero. You explain the same things repeatedly. Output is inconsistent. With ClaudeMD: Claude knows your project. Claude follows your rules. Claude produces consistent, professional code. The difference between a sloppy freelancer and a reliable agency is consistency. Claude. MD gives you consistency without the agency overhead. Most people don't set this up and wonder why Claude Code gives different answers every time. ↓ 13. Automate with Tasks. This is where Claude Code stops being a tool and starts being an employee. Tasks let you define repeating workflows. "Every time I push code, run tests." "Every time I create a new file, add boilerplate." "Every time I start a session, check for errors." Automated. Hands-free. Consistent. You're doing these things manually every single day. The same checks. The same steps. The same routine. Tasks do them automatically. So you can focus on the work that actually makes money. Every manual task you automate is time you get back. And time is the only thing you can never make more of. Save this post. Follow Himanshu Kumar for the task automation templates that run my entire workflow. ↓ 14. Explore Features Most People Never Touch. The video covers features that 95% of Claude Code users don't know exist. Because they watched a 3-minute TikTok about Claude Code and think they're experts now. They're not. They're using 5% of a tool that can do everything. The full tutorial goes deep into features that most tutorials skip because they're "too advanced." They're not too advanced. They're too valuable for lazy creators to bother explaining. This video explains all of them. Clearly. For beginners. The 5% of features you don't know about are the 5% that make people rich. ↓ Let's zoom out. I just broke down 14 sections of Claude Code. Setup and installation. Desktop app. Dependencies. Code editor integration. Basic usage. Commands. Modes and shortcuts. Planning prompts. Model selection. Git and version control. Memory and Claude. MD. Tasks and automation. Advanced features. All in one video. All free. All beginner friendly. The person who masters even half of these in the next 2 weeks will be in the top 1% of Claude Code users. The top 1% of Claude Code users are the ones charging $5,000-$10,000 per project and building them in a single afternoon. Everyone else is asking ChatGPT to fix their resume. Same tools. Same access. Completely different outcomes. Because one person treats AI like a toy. And the other treats it like a business. ↓ Here's the hard truth nobody wants to hear. You don't have a talent problem. You don't have an intelligence problem. You don't have a resources problem. You have an action problem. Everything I just listed has a free tutorial right here in the attached video. 33 minutes. That's it. 33 minutes to learn the tool that people are using to build $5,000-$20,000/month businesses. You spent more time today scrolling Twitter than it takes to watch this video. You spent more time this week watching Netflix than it takes to master Claude Code basics. You spent more time this month doing nothing than it would take to completely change your income. The information is free. The tool is accessible. The opportunity is here. The only thing missing is you caring enough to start. ↓ CANCEL your plans this week. This isn't optional anymore. The people learning Claude Code right now will be building apps for the people who didn't learn it. That's not a prediction. That's already happening. Companies are replacing $150/hour developers with one person and Claude Code. If you code: learn Claude Code or become half as valuable by next year. If you don't code: learn Claude Code or miss the biggest opportunity to start earning from tech without a CS degree. There's no path forward that doesn't include AI coding tools. None. You have one window. Right now. This week. ↓ Here's your action plan for the next 7 days: Day 1: Watch the full video. Install Claude Code. Set up dependencies. Day 2: Learn basic usage. Try 5 different commands. Day 3: Write your first planning prompt. Build a small project. Day 4: Set up Claude. MD. Configure your memory file. Day 5: Master modes and shortcuts. Build a second project faster. Day 6: Set up Git integration. Automate with tasks. Day 7: Build something real. A tool, an app, a website. Ship it. 7 days. One tool. One completely different skill set. One completely different income potential. Or 7 more days of scrolling Twitter watching other people build things while you "plan to start." Your call. ↓ This is the most important video you'll watch this year. 33 minutes. Complete Claude Code mastery. From zero to building real projects. Save this post. Come back to it every single day this week. Check off each section as you complete it. Follow Himanshu Kumarfor daily Claude Code breakdowns, advanced tutorials, and the exact workflows that are turning beginners into $10K/month builders. The only thing between you and $10K/month with Claude Code is this video and 7 days. Don't waste them. You Must Follow me Himanshu Kumar, so i can send you DM.

CANCEL Your Weekend Plans, & Learn Claude Code Today. This Claude Code teaches more about vibe-coding in 30 mins than most tutorials do in hours. Save this, it'll change how you build forever People are building entire apps and charging clients $5,000 to $20,000 using Claude Code. This Claude Code video is a goldmine. Full Claude Code tutorial. Beginner to pro. Every feature. Every setup step. Every best practice. Zero prior knowledge needed. Save it. Watch it tonight. Not tomorrow. Tonight. Follow Himanshu Kumar so you don't miss the breakdowns for each feature. This is your complete Claude Code roadmap. Lose it and you lose the next 12 months of income. ↓ 1. Understand What Claude Code Actually Is. You think Claude Code is just another chatbot. It's not. And that misunderstanding is why you're broke. ChatGPT gives you text. Claude Code gives you software. It runs in your terminal. It reads your entire codebase. It writes files directly to your project. It runs commands on your machine. It debugs errors autonomously. It builds features end to end. You're not chatting. You're deploying a developer. One that works 24/7. Never asks for a raise. Never calls in sick. Never pushes broken code at 5 PM on a Friday. People are charging clients $5,000-$10,000 for apps they built with Claude Code in 3 hours. And you didn't even know this tool existed because you're still asking ChatGPT to write you a to-do list. The gap between you and people making money with AI isn't intelligence. It's awareness. Now you're aware. Save this post. Follow Himanshu Kumar for the complete breakdown of every Claude Code feature. ↓ 2. Set Up Claude Code Properly. Most people quit here. "It's too complicated." "I don't know terminal." "I'll set it up later." Later never comes. And "complicated" means "I watched for 30 seconds and gave up." The setup takes 10 minutes. Install Node.js. Install Claude Code via npm. Authenticate your account. Open your terminal. Done. 10 minutes. You spent longer this morning deciding what to have for breakfast. The video walks through every single click. Every command. Every screen. Assuming you know absolutely nothing. If you can download an app on your phone, you can set up Claude Code. It's the same level of difficulty. But you'll still tell yourself it's "too technical" because that excuse is more comfortable than admitting you're just scared to try something new. This is the setup that everything else builds on. Skip it and nothing works. ↓ 3. Use the Desktop App. You don't even need to live in the terminal if you don't want to. Claude Code has a desktop app. Clean interface. Visual feedback. Everything you need without touching command line. But here's the thing most people don't know: The desktop app isn't just a pretty wrapper. It lets you manage projects visually. See file changes in real time. Switch between projects instantly. The people making money with Claude Code use the desktop app for client projects because it's faster to manage multiple builds simultaneously. You're still opening 14 browser tabs to organize one project. They open one app and everything's there. Efficiency isn't a personality trait. It's a tool choice. Save this post. Follow Himanshu Kumar for the desktop app workflow that handles 5 client projects at once. ↓ 4. Install the Right Dependencies. This is where beginners silently fail and blame the tool. Claude Code needs certain dependencies installed to work properly. Miss one and everything breaks. Then you go on Twitter and say "Claude Code doesn't work." It works fine. You just didn't read the setup guide. The video covers every dependency you need. What to install. How to install it. How to verify it's working. No guessing. No Stack Overflow rabbit holes at midnight. No "why isn't this working" for 3 hours. Watch the dependency section once. Follow every step. Never deal with setup issues again. You spent more time last week troubleshooting a printer than this takes. ↓ 5. Work Inside Your Code Editor. Claude Code integrates directly with your code editor. VS Code. Cursor. Whatever you use. It's not a separate window you alt-tab between. It's right there. In your workflow. You type a request. Claude writes the code. The code appears in your editor. You review it. Accept it. Done. No copy pasting between windows. No reformatting code that got mangled in transit. No "which version was the right one." It's like pair programming with someone who never gets distracted, never argues about naming conventions, and actually writes code that works on the first try. Your current coding process is: Google the problem, read 5 answers on Stack Overflow, copy the wrong one, debug for an hour, find the right one, paste it in, break something else, repeat. Claude Code's process is: describe what you want, get working code, move on with your life. Same hour. One method produces working software. The other produces frustration and a browser history full of Stack Overflow tabs. Stop coding the hard way. Save this post. Follow Himanshu Kumar for code editor setup guides and integration tips. ↓ 6. Master Basic Usage. Most people learn 5% of a tool and say they "know" it. You "know" Photoshop because you can crop an image. You "know" Excel because you can sum a column. You "know" Claude Code because you asked it one question. Basic usage means: How to give Claude Code context about your project. How to ask for changes to existing code. How to generate new files and features. How to review what Claude produces. How to iterate when the output isn't perfect. These basics are the foundation of everything. Skip them and every advanced feature feels confusing. Master them and every advanced feature feels obvious. The video breaks down each one with real examples. Not theory. Actual usage on actual projects. You've been using AI tools at 5% capacity and wondering why your results are 5% of what others get. Save this post. Follow Himanshu Kumar for daily Claude Code usage tips. ↓ 7. Learn Every Command. Claude Code has commands that most users never discover. Because most users type one message and expect magic. That's not how professionals use it. Professionals use specific commands that tell Claude Code exactly what to do, how to do it, and what constraints to follow. The difference between a beginner and someone making $10K/month with Claude Code is knowing which command to use and when. The video walks through every single one. Not just what they do. But when to use each one. And why one command is better than another for specific situations. You've been using Claude Code like a hammer. These commands turn it into a full toolbox. Stop treating a power tool like a blunt instrument. Save this post. Follow Himanshu Kumar for the command cheat sheet I use daily. ↓ 8. Understand Modes and Shortcuts. Speed matters. The person who builds an app in 2 hours charges $5,000. The person who builds the same app in 2 days charges $2,000. Same app. Same quality. Different speed. Different income. Claude Code has modes that change how it operates. And shortcuts that cut your workflow time in half. Most people don't know either exists. They use Claude Code in default mode for everything. Like driving a car in first gear on the highway. Technically it works. But everyone is passing you. The video shows you every mode. Every shortcut. Every time-saving trick that separates the people charging $2,000 per project from the people charging $10,000. Speed is money. Literally. Save this post. Follow Himanshu Kumar for the shortcuts that cut my build time by 60%. ↓ 9. Write a Proper Planning Prompt. This is the section that separates amateurs from professionals. And it's the section most people skip. A planning prompt tells Claude Code what you're building before you start building it. Architecture. File structure. Technologies. Features. Constraints. Edge cases. Without a planning prompt, Claude Code guesses. And guessing produces garbage. With a planning prompt, Claude Code executes a clear plan. And clear plans produce working software. The video shows you exactly how to write a planning prompt that makes Claude Code produce professional-grade output on the first try. "But I just want to start coding." That's why your code breaks every time. That's why you restart projects 4 times. That's why nothing you build ever gets finished. Because you refuse to plan. A 5-minute planning prompt saves you 5 hours of debugging. But you'd rather skip the 5 minutes and suffer through the 5 hours because patience isn't your thing. And that's exactly why you're not making money. Planning is the most underpaid skill in coding. And the most overpaid when you master it. Save this post. Follow Himanshu Kumar for the planning prompt templates I use for every client project. ↓ 10. Choose the Right Model. Claude Code lets you select different AI models. Not all models are the same. Not all tasks need the same model. Using the most powerful model for a simple task wastes credits. Using a basic model for a complex task wastes time. The video explains: Which model to use for quick fixes. Which model to use for complex architecture. Which model to use for debugging. Which model to use for code generation. Most people pick one model and use it for everything. That's like using a sledgehammer to hang a picture frame. Model selection is strategy. And strategy is money. The people making $10K/month with Claude Code are strategic about every credit they spend. You're burning through credits because you use the most expensive model to write a hello world. ↓ 11. Use Git and Version Control. If you're not using version control, you're one mistake away from losing everything. Claude Code integrates with Git. Every change tracked. Every version saved. Every mistake reversible. Without Git: Claude makes a change. It breaks something. You can't undo it. You start over. 3 hours wasted. With Git: Claude makes a change. It breaks something. You roll back in 5 seconds. Keep working. Version control isn't optional. It's insurance. And the people not using it are the same people who say "I lost my entire project" like it's something that just happens. It doesn't just happen. It happens because you didn't set up Git. The video walks through the entire Git integration. Save this post. Follow Himanshu Kumar for the Git workflow that's saved every project I've ever built. ↓ 12. Set Up Claude MD and Memory. This is the feature that makes Claude Code feel like a real team member instead of a stranger you explain everything to every time. ClaudeMD is a memory file. You tell Claude Code about your project once. It remembers forever. Coding style preferences. Project architecture decisions. Technology stack. File naming conventions. Business logic rules. Without ClaudeMD: Every new conversation starts from zero. You explain the same things repeatedly. Output is inconsistent. With ClaudeMD: Claude knows your project. Claude follows your rules. Claude produces consistent, professional code. The difference between a sloppy freelancer and a reliable agency is consistency. Claude. MD gives you consistency without the agency overhead. Most people don't set this up and wonder why Claude Code gives different answers every time. ↓ 13. Automate with Tasks. This is where Claude Code stops being a tool and starts being an employee. Tasks let you define repeating workflows. "Every time I push code, run tests." "Every time I create a new file, add boilerplate." "Every time I start a session, check for errors." Automated. Hands-free. Consistent. You're doing these things manually every single day. The same checks. The same steps. The same routine. Tasks do them automatically. So you can focus on the work that actually makes money. Every manual task you automate is time you get back. And time is the only thing you can never make more of. Save this post. Follow Himanshu Kumar for the task automation templates that run my entire workflow. ↓ 14. Explore Features Most People Never Touch. The video covers features that 95% of Claude Code users don't know exist. Because they watched a 3-minute TikTok about Claude Code and think they're experts now. They're not. They're using 5% of a tool that can do everything. The full tutorial goes deep into features that most tutorials skip because they're "too advanced." They're not too advanced. They're too valuable for lazy creators to bother explaining. This video explains all of them. Clearly. For beginners. The 5% of features you don't know about are the 5% that make people rich. ↓ Let's zoom out. I just broke down 14 sections of Claude Code. Setup and installation. Desktop app. Dependencies. Code editor integration. Basic usage. Commands. Modes and shortcuts. Planning prompts. Model selection. Git and version control. Memory and Claude. MD. Tasks and automation. Advanced features. All in one video. All free. All beginner friendly. The person who masters even half of these in the next 2 weeks will be in the top 1% of Claude Code users. The top 1% of Claude Code users are the ones charging $5,000-$10,000 per project and building them in a single afternoon. Everyone else is asking ChatGPT to fix their resume. Same tools. Same access. Completely different outcomes. Because one person treats AI like a toy. And the other treats it like a business. ↓ Here's the hard truth nobody wants to hear. You don't have a talent problem. You don't have an intelligence problem. You don't have a resources problem. You have an action problem. Everything I just listed has a free tutorial right here in the attached video. 33 minutes. That's it. 33 minutes to learn the tool that people are using to build $5,000-$20,000/month businesses. You spent more time today scrolling Twitter than it takes to watch this video. You spent more time this week watching Netflix than it takes to master Claude Code basics. You spent more time this month doing nothing than it would take to completely change your income. The information is free. The tool is accessible. The opportunity is here. The only thing missing is you caring enough to start. ↓ CANCEL your plans this week. This isn't optional anymore. The people learning Claude Code right now will be building apps for the people who didn't learn it. That's not a prediction. That's already happening. Companies are replacing $150/hour developers with one person and Claude Code. If you code: learn Claude Code or become half as valuable by next year. If you don't code: learn Claude Code or miss the biggest opportunity to start earning from tech without a CS degree. There's no path forward that doesn't include AI coding tools. None. You have one window. Right now. This week. ↓ Here's your action plan for the next 7 days: Day 1: Watch the full video. Install Claude Code. Set up dependencies. Day 2: Learn basic usage. Try 5 different commands. Day 3: Write your first planning prompt. Build a small project. Day 4: Set up Claude. MD. Configure your memory file. Day 5: Master modes and shortcuts. Build a second project faster. Day 6: Set up Git integration. Automate with tasks. Day 7: Build something real. A tool, an app, a website. Ship it. 7 days. One tool. One completely different skill set. One completely different income potential. Or 7 more days of scrolling Twitter watching other people build things while you "plan to start." Your call. ↓ This is the most important video you'll watch this year. 33 minutes. Complete Claude Code mastery. From zero to building real projects. Save this post. Come back to it every single day this week. Check off each section as you complete it. Follow Himanshu Kumarfor daily Claude Code breakdowns, advanced tutorials, and the exact workflows that are turning beginners into $10K/month builders. The only thing between you and $10K/month with Claude Code is this video and 7 days. Don't waste them. You Must Follow me Himanshu Kumar, so i can send you DM.

Himanshu Kumar

85,668 görüntüleme • 4 ay önce

$here's what most app founders don't tell you about scaling your app on tiktok here's the actual playbook, not the generic level "just post consistently" advice: accounts use personal/creator accounts, not business. business locks you out of trending sounds entirely, you get stuck with a library of 40 generic royalty-free tracks nobody's ear recognizes as "tiktok sound," and sound is half the algo's read on your content don't buy an aged account unless you can post from the exact location it was created in. mismatch the vpn/location and you'll watch views crater to single digits within days, tiktok resets your trust score fast pick one avatar, one template, one visual style. lock it in for at least 15-20 posts before you touch it. switching every few videos tells the algo you're a different account every time, you never build a consistent signal views aren't what you think they are 30-200 views is not a shadowban. shadowbanned means 0 views, full stop, nothing gets pushed. 30-200 means the hook, pacing, or format just isn't landing yet "i copied that viral video frame for frame" — you didn't. the millisecond pause before the reveal, the exact caption position (top third vs center), font size relative to screen, all of it is doing more work than the concept itself. people copy the idea and skip the 200 micro-decisions that made it work good content still won't always go viral. a 5:1 view-to-like ratio is genuinely strong signal, it just doesn't guarantee reach. the algo rewards volume of good attempts, not one perfect video cal ai didn't get one viral hit and coast. they ran hundreds of videos in the same format on repeat, and kept posting through videos that flopped at 1000 views. the winners paid for the losers views ≠ downloads, and this trips up everyone 1M views with almost no installs is extremely common. prank format, funny skit format, anything built for pure entertainment gets massive reach and contributes basically nothing to your install numbers because nobody's thinking about your product, they're thinking about the joke tutorial format does a fraction of the views and converts 10x better. screen recording of the actual app, green screen walkthrough, finger literally tracing where to tap. it's less entertaining and it's the format that pays your bills if you only chase views you'll optimize yourself into a wall of engagement with no revenue behind it content that doesn't scream "ad" don't slide the app into every single post, most of what you post should just be good standalone content bad: "here's why my app has 15 features your current app doesn't" good: "i saved $500 last month and used it to buy my kid a ps5" walks into walmart, grabs a ps5 off the shelf "had no idea i was burning $500/mo on subs i forgot to cancel" the app name/logo shows up after the value hit lands, never before. the viewer needs to feel the outcome first, the brand is just the explanation for how they get it too zero ideas? screenshot your competitors' top 20 tiktoks and study exactly what they're doing in the caption text, the hook, the pacing. copy the format, not the literal video. nobody's reinventing organic distribution from scratch, everyone's remixing what already works working with creators without torching your budget skip influencers at the start unless you've got real spend to burn. you'll pay a few hundred bucks, get 10k views, feel nothing happened, and quit the whole channel cheap ugc reaction clips ($2-5 for a 3-5 second reaction) stitched onto your own tutorial footage gets you dozens of usable videos in a day, this is the highest leverage move for a small budget pay per view if you can get creators to agree to it. rpm between $0.5-$2 depending on how "tutorial-ish" the content is, cap payout at $200-500 per video so you're not exposed. hard to find creators who'll take this deal but they exist, worth asking posting without tripping the flags skip the phone farm, skip the expensive 4g/5g proxy setup. you'll burn a month building infrastructure and still end up throttled a vpn is fine if you're targeting a country you're not in. tiktok can see the vpn, that alone doesn't flag you what actually gets you flagged: → reposting pinterest images hoping tiktok won't recognize them → posting 4+ times within an hour → random disconnected content with no pattern between posts → switching phones or vpn servers constantly → running more than 3 accounts from one setup → posting immediately on a brand new account with zero warmup batch a full month of content in one or two sessions. you already know you won't "post again tomorrow" once life gets in the way connect the vpn first, then open tiktok, so the algo resets to your target country before you touch anything. schedule max 2-3 posts a day with something like hootsuite, set it to drafts instead of auto-publish, review each one before it actually goes live link in bio is quietly killing your conversions tiktok's in-app browser doesn't carry the user's saved logins or cookies. they tap your link, hit "sign in with google," nothing autofills, nothing's remembered, they bail in 3 seconds fix: detect when your link is opened inside tiktok's in-app browser and show a quick prompt telling them to tap the three dots → open in browser. gets them into safari or chrome where their session actually persists, this single fix recovers conversions most people don't even know they're losing$

here's what most app founders don't tell you about scaling your app on tiktok here's the actual playbook, not the generic level "just post consistently" advice: accounts use personal/creator accounts, not business. business locks you out of trending sounds entirely, you get stuck with a library of 40 generic royalty-free tracks nobody's ear recognizes as "tiktok sound," and sound is half the algo's read on your content don't buy an aged account unless you can post from the exact location it was created in. mismatch the vpn/location and you'll watch views crater to single digits within days, tiktok resets your trust score fast pick one avatar, one template, one visual style. lock it in for at least 15-20 posts before you touch it. switching every few videos tells the algo you're a different account every time, you never build a consistent signal views aren't what you think they are 30-200 views is not a shadowban. shadowbanned means 0 views, full stop, nothing gets pushed. 30-200 means the hook, pacing, or format just isn't landing yet "i copied that viral video frame for frame" — you didn't. the millisecond pause before the reveal, the exact caption position (top third vs center), font size relative to screen, all of it is doing more work than the concept itself. people copy the idea and skip the 200 micro-decisions that made it work good content still won't always go viral. a 5:1 view-to-like ratio is genuinely strong signal, it just doesn't guarantee reach. the algo rewards volume of good attempts, not one perfect video cal ai didn't get one viral hit and coast. they ran hundreds of videos in the same format on repeat, and kept posting through videos that flopped at 1000 views. the winners paid for the losers views ≠ downloads, and this trips up everyone 1M views with almost no installs is extremely common. prank format, funny skit format, anything built for pure entertainment gets massive reach and contributes basically nothing to your install numbers because nobody's thinking about your product, they're thinking about the joke tutorial format does a fraction of the views and converts 10x better. screen recording of the actual app, green screen walkthrough, finger literally tracing where to tap. it's less entertaining and it's the format that pays your bills if you only chase views you'll optimize yourself into a wall of engagement with no revenue behind it content that doesn't scream "ad" don't slide the app into every single post, most of what you post should just be good standalone content bad: "here's why my app has 15 features your current app doesn't" good: "i saved $500 last month and used it to buy my kid a ps5" walks into walmart, grabs a ps5 off the shelf "had no idea i was burning $500/mo on subs i forgot to cancel" the app name/logo shows up after the value hit lands, never before. the viewer needs to feel the outcome first, the brand is just the explanation for how they get it too zero ideas? screenshot your competitors' top 20 tiktoks and study exactly what they're doing in the caption text, the hook, the pacing. copy the format, not the literal video. nobody's reinventing organic distribution from scratch, everyone's remixing what already works working with creators without torching your budget skip influencers at the start unless you've got real spend to burn. you'll pay a few hundred bucks, get 10k views, feel nothing happened, and quit the whole channel cheap ugc reaction clips ($2-5 for a 3-5 second reaction) stitched onto your own tutorial footage gets you dozens of usable videos in a day, this is the highest leverage move for a small budget pay per view if you can get creators to agree to it. rpm between $0.5-$2 depending on how "tutorial-ish" the content is, cap payout at $200-500 per video so you're not exposed. hard to find creators who'll take this deal but they exist, worth asking posting without tripping the flags skip the phone farm, skip the expensive 4g/5g proxy setup. you'll burn a month building infrastructure and still end up throttled a vpn is fine if you're targeting a country you're not in. tiktok can see the vpn, that alone doesn't flag you what actually gets you flagged: → reposting pinterest images hoping tiktok won't recognize them → posting 4+ times within an hour → random disconnected content with no pattern between posts → switching phones or vpn servers constantly → running more than 3 accounts from one setup → posting immediately on a brand new account with zero warmup batch a full month of content in one or two sessions. you already know you won't "post again tomorrow" once life gets in the way connect the vpn first, then open tiktok, so the algo resets to your target country before you touch anything. schedule max 2-3 posts a day with something like hootsuite, set it to drafts instead of auto-publish, review each one before it actually goes live link in bio is quietly killing your conversions tiktok's in-app browser doesn't carry the user's saved logins or cookies. they tap your link, hit "sign in with google," nothing autofills, nothing's remembered, they bail in 3 seconds fix: detect when your link is opened inside tiktok's in-app browser and show a quick prompt telling them to tap the three dots → open in browser. gets them into safari or chrome where their session actually persists, this single fix recovers conversions most people don't even know they're losing

Mufasa

17,518 görüntüleme • 24 gün önce

Made $530,000 with Ai Bot that started with $313. Didn't know how to code. Now this bots run 24/7 printing money while sleeping. I've made the exact step-by-step guide to build this Claude Code Polymarket trading bot. Prompts. Code. Risk settings. Paper trading checklist. Everything from zero to running bot. It's free. For 24 hours. After that I'm charging $499 for it. To grab it right now: 1. Comment "Claude Bot" 2. Like and Retweet this post 3. Follow me Himanshu Kumar ( I can't send DMs to non-followers ) I'm DMing everyone who Complete the 3 steps. I spent hundreds of thousands hiring developers because he was too scared to learn. Then learned Claude Code. Built algorithmic trading systems. $313 → $530,000. You have the same tools available right now. And you're using them to ask ChatGPT for Instagram captions. This attached video is a goldmine. Full live walkthrough. Claude Code building actual Polymarket trading bots. From zero. Every line of code. Every decision explained. Now let me break down why everything you're doing in trading is wrong and exactly how to fix it. Save this post. You'll hate yourself if you lose it. ↓ Let's start with why you keep losing money. You already know the answer. You just won't admit it. You overtrade. Every. Single. Day. You see a candle move. You feel something. You enter. No plan. No edge. No reason. Just feelings. Then it goes against you. You feel something else. Panic. Anger. Denial. You move your stop loss. Or you didn't set one at all. "It'll come back." It doesn't come back. So you take another trade. A revenge trade. Bigger size this time. Because you need to "make it back." That one fails too. Now you're emotional. Now you're tilted. Now you're using leverage you have no business touching. 40x. 50x. 100x. On a trade you entered because a candle looked "bullish" and some guy on Twitter said "send it." You get liquidated. Close the laptop. Punch something. Tell yourself you'll be "more disciplined" tomorrow. Tomorrow comes. Same cycle. Same result. Same liquidation. You've been doing this for months. Maybe years. And you still think the problem is your strategy. The problem isn't your strategy. The problem is you. Save this post right now. What I'm about to show you is the only way to remove yourself from the equation. Follow Himanshu Kumar so you don't miss any of this. ↓ Here's what's actually killing your account. It's not the market. The market doesn't care about you. It's not your indicators. RSI works fine. MACD works fine. They all "work." It's not your timeframe. It's not your broker. It's not the "manipulation." It's four things: 1. Emotions. You hold losers because hope feels better than loss. You cut winners because fear feels stronger than greed. You size up when angry. You skip trades when scared. Your emotional state determines your position size. That's insane. And you know it's insane. But you keep doing it. 2. Overtrading. You take 15 trades a day. Maybe 5 of them had actual setups. The other 10 were boredom. Boredom trades are the most expensive hobby in human history. 3. Leverage. You use 20x-50x on trades where you're not even sure about the direction. That's not trading. That's a casino with a nicer interface. 4. Fees. You're smashing market orders. Paying spread. Paying commission. On 15 trades a day. Your broker makes more money from your account than you do. Think about that. Your broker is profitable on your account. You're not. You're the product. Not the trader. These four things are why 90% of traders lose. Not bad luck. Not the market. You. Save this post and follow Himanshu Kumar because the solution is coming next. ↓ The solution is painfully obvious. Remove yourself from the equation. Not partially. Not "I'll be more disciplined." Not "I'll journal my trades." Not "I'll meditate before trading." Completely remove yourself. Build a bot. Let the bot trade. You go live your life. The bot doesn't feel emotions. The bot doesn't overtrade. The bot doesn't use reckless leverage. The bot doesn't smash market orders and bleed fees. The bot follows the rules. Every single time. Without exception. Without "just this once." Without "I have a feeling about this one." Rules in. Execution out. No human in the middle to mess everything up. That's algorithmic trading. And before your ego jumps in with "but I'm different, I have discipline" — No you don't. Your account balance proves you don't. If you had discipline, your account would be green. It's not. So you don't. Accept it. Automate it. Move on. This is the hardest truth in trading. Your discipline will always fail. A bot's won't. Save this post. Follow Himanshu Kumar for the exact bot setup that removes your emotions permanently. ↓ "But I don't know how to code." Neither did he. The guy in this video didn't know how to code for most of his life. Got held back in 7th grade. People counted him out early. Spent years building apps and SaaS businesses without writing a single line of code. Hired developers on Upwork instead. Spent hundreds of thousands of dollars paying other people to build what he could have built himself. Because he was scared to learn. That fear cost him years. And hundreds of thousands of dollars. Sound familiar? You're doing the same thing right now. Not with developers. But with your time. You're spending thousands of hours trading manually because you're scared to learn the thing that would make trading automatic. The fear of learning to code is costing you more than any bad trade ever did. Because every month you trade manually is a month of emotional decisions, overleveraged entries, and unnecessary losses that a bot would never make. And here's the thing that should really frustrate you: AI does the hard parts now. You don't need a computer science degree. You don't need to work at a hedge fund. You don't need to be "good at math." Claude Code writes the code for you. You just need to think clearly about trading ideas. That's it. If you can describe a strategy in English, Claude can build it in Python. "I don't know how to code" stopped being a valid excuse in 2024. It's 2026. You're 2 years late on that excuse. Find a new one. Or stop making excuses entirely. Save this post. Follow Himanshu Kumar because I'm showing you how people with zero coding experience are building profitable bots. ↓ The process that actually makes money. Three letters. R. B. I. Research. Backtest. Implement. That's it. That's the entire process. Every single day. Research: Find an idea. A pattern. A market inefficiency. Don't trade it yet. Don't even think about trading it yet. Just research it. Backtest: Test the idea against historical data. Does it work? Not "does it look good on one chart." Does it work across thousands of trades? Across different market conditions? Across in-sample AND out-of-sample data? If no, kill it. Find another idea. If yes, move to step 3. Implement: Build the bot. Deploy it. Paper trade first. Then live with small size. Scale only on evidence. Research. Backtest. Implement. Every day. No exceptions. You know what your current process is? Feel. Enter. Pray. F. E. P. Feel bullish. Enter a trade. Pray it works. That's not a process. That's gambling with a TradingView subscription. RBI is the only process that works. Save this post. Tattoo it on your forearm. Follow Himanshu Kumar for daily RBI breakdowns. ↓ What Claude Code actually does that your manual process can't. You can maybe test 3-5 strategy ideas per week. Manually adjusting parameters. Manually checking results. Manually writing code (badly). Claude Code tests 50-100 ideas per week. With parallel agents running simultaneously. Multiple strategies being built, tested, and validated at the same time. While you sleep. The guy in this video spends 4-8 hours a day building systems with Claude Code. Not trading. Building. Research. Backtest. Implement. Then iterate. Improve. Optimize. Every day the systems get better. Every day the edge compounds. Every day the bots get smarter. While you? You spend 4-8 hours a day staring at charts making the same mistakes you made last month. Same indicators. Same patterns. Same entries. Same losses. He's iterating forward. You're running in circles. Same 8 hours per day. Completely different outcomes. Because he's building systems. And you're feeding a casino. Stop feeding the casino. Start building the machine. Save this post and follow Himanshu Kumar for the Claude Code workflow that iterates strategies while you sleep. ↓ Jim Simons. That's the benchmark. You probably don't know who Jim Simons is. And that tells me everything about how seriously you take trading. Jim Simons. Mathematician. Founded Renaissance Technologies. Built a net worth of $31 billion. 100% from algorithmic trading. Not one single manual trade. Not one "gut feeling" entry. Not one RSI divergence. Not one "smart money concept." Algorithms. Bots. Systems. Data. $31 billion. His fund averaged 66% annual returns for over 30 years. While you're excited about making $200 on a trade that you'll give back tomorrow. The best trader in human history never placed a manual trade in his life. And you think your edge is staring at a 5-minute chart with bloodshot eyes at 2 AM? Your edge is building the system. Not being inside it. Jim Simons is the benchmark. Everything else is noise. Save this post. Follow Himanshu Kumar because I'm building toward the same goal and showing every step publicly. ↓ What you need to understand about patience. This is not get-rich-overnight. The guy in this video says it directly: "This channel is not for people looking to get rich overnight. It's not plug and play. There are no shortcuts. If you're impatient, this probably isn't for you." And that's exactly why most people will fail at this. Because you want results now. Today. This trade. You don't want to spend a week building a bot. You don't want to paper trade for 2 weeks. You don't want to test 50 ideas to find 1 that works. You want to copy someone's bot, run it live with your rent money, and be rich by Friday. That's why you'll be broke by Friday. The guy making $2.3M spent months iterating. Testing. Failing. Rebuilding. Testing again. He was patient when you would have quit. He was calm when you would have panicked. He was consistent when you would have given up. Patience isn't just a virtue in trading. It's the only virtue. Without it, everything else fails. Impatience is the most expensive personality trait in trading. Save this post. Follow Himanshu Kumar and learn to build systems with the patience that actually pays. ↓ The live streams where the real learning happens. The YouTube video is the trailer. The live streams are the movie. Real-time bot building. Real-time questions answered. Real code shown. Real mistakes made and fixed. Not polished highlight reels where everything works perfectly. Actual development. Where things break. Where strategies fail. Where code doesn't compile. Where the fix takes 2 hours. Because that's what real development looks like. And seeing the messy parts is more valuable than any polished tutorial. Because when your bot breaks at 3 AM, you need to know how to fix it. Not just how to celebrate when it works. The streams mix beginner and advanced. Start with how to automate trading. How to use AI for code generation. Then dive into the daily work. Claude Code. Parallel agents. Constant iteration. Live debugging. 4-8 hours of real algorithmic trading development. Live. Uncut. No filter. Most "trading education" shows you the wins. This shows you the work. Save this post. Follow Himanshu Kumar for the stream schedules and breakdowns. ↓ The belief that changes everything. Code is the greatest equalizer. Not money. Not connections. Not a degree. Not where you grew up. Not what school you went to. Code. Once you can build systems, you can build anything. For the rest of your life. A trading bot today. A SaaS product tomorrow. An automation business next month. A completely different life next year. The skill isn't "algorithmic trading." The skill is building systems. And that skill transfers to everything. The guy who can build a trading bot can also build a lead gen tool. Can also build a content pipeline. Can also build a SaaS product. Can also build literally anything that runs on logic and code. One skill. Infinite applications. And AI makes learning it 100x easier than it was 5 years ago. You don't need to be smart. You don't need talent. You need Claude Code and the willingness to sit down and build something instead of consuming content about building something. Building is the skill. Everything else is entertainment disguised as education. Save this post. Follow Himanshu Kumar because I'm showing you how to build, not just how to watch. ↓ If any of this applies to you, pay attention. If you've lost money from overtrading. If you've been liquidated. If you know trading is the vehicle but manual execution keeps crashing you. If you've tried "being more disciplined" and it never lasted more than a week. If you keep saying "next month I'll start automating." If you've spent more money on courses than you've made from trading. There is a better way. It's not a magic indicator. It's not a signal group. It's not a $997 mentorship from a guy who makes money teaching, not trading. It's building your own system. A system that trades without emotion. A system that follows rules without exception. A system that runs while you sleep. A system that compounds while you live your life. That's the answer. It's always been the answer. You've just been too scared to accept that the solution requires building something instead of buying something. ↓ What the next 30 days look like if you actually commit. Week 1: Watch the video. Learn Claude Code basics. Build your first simple strategy. Run your first backtest. Week 2: Iterate. Let Claude improve the strategy. Run Monte Carlo validation. Paper trade. Week 3: Go live with $50-100. Tiny positions. Watch every trade. Compare to paper results. Week 4: Scale based on evidence. Not based on excitement. Not based on one good day. Based on data. 30 days from now you either have a running bot that trades without your emotions destroying every position. Or you're exactly where you are right now. Reading another post. Making another promise. Breaking it by Tuesday. Same 30 days either way. Different actions. Different results. Different life. ↓ Full video tutorial attached. Live bot building with Claude Code. From zero to running Polymarket trading bot. Every line of code. Every decision explained. The video is free. Claude Code is available now. The market is open 24/7. The only thing standing between you and a profitable trading bot is the same thing that's been standing there for months. You. Get out of your own way. Follow Himanshu Kumar for daily AI trading bot breakdowns, live build sessions, and the full RBI process. Save this post. Watch the video. Build the bot. Or keep trading manually and keep losing. The choice has never been easier. And you've never been more stubborn about making the wrong one.

Made $530,000 with Ai Bot that started with $313. Didn't know how to code. Now this bots run 24/7 printing money while sleeping. I've made the exact step-by-step guide to build this Claude Code Polymarket trading bot. Prompts. Code. Risk settings. Paper trading checklist. Everything from zero to running bot. It's free. For 24 hours. After that I'm charging $499 for it. To grab it right now: 1. Comment "Claude Bot" 2. Like and Retweet this post 3. Follow me Himanshu Kumar ( I can't send DMs to non-followers ) I'm DMing everyone who Complete the 3 steps. I spent hundreds of thousands hiring developers because he was too scared to learn. Then learned Claude Code. Built algorithmic trading systems. $313 → $530,000. You have the same tools available right now. And you're using them to ask ChatGPT for Instagram captions. This attached video is a goldmine. Full live walkthrough. Claude Code building actual Polymarket trading bots. From zero. Every line of code. Every decision explained. Now let me break down why everything you're doing in trading is wrong and exactly how to fix it. Save this post. You'll hate yourself if you lose it. ↓ Let's start with why you keep losing money. You already know the answer. You just won't admit it. You overtrade. Every. Single. Day. You see a candle move. You feel something. You enter. No plan. No edge. No reason. Just feelings. Then it goes against you. You feel something else. Panic. Anger. Denial. You move your stop loss. Or you didn't set one at all. "It'll come back." It doesn't come back. So you take another trade. A revenge trade. Bigger size this time. Because you need to "make it back." That one fails too. Now you're emotional. Now you're tilted. Now you're using leverage you have no business touching. 40x. 50x. 100x. On a trade you entered because a candle looked "bullish" and some guy on Twitter said "send it." You get liquidated. Close the laptop. Punch something. Tell yourself you'll be "more disciplined" tomorrow. Tomorrow comes. Same cycle. Same result. Same liquidation. You've been doing this for months. Maybe years. And you still think the problem is your strategy. The problem isn't your strategy. The problem is you. Save this post right now. What I'm about to show you is the only way to remove yourself from the equation. Follow Himanshu Kumar so you don't miss any of this. ↓ Here's what's actually killing your account. It's not the market. The market doesn't care about you. It's not your indicators. RSI works fine. MACD works fine. They all "work." It's not your timeframe. It's not your broker. It's not the "manipulation." It's four things: 1. Emotions. You hold losers because hope feels better than loss. You cut winners because fear feels stronger than greed. You size up when angry. You skip trades when scared. Your emotional state determines your position size. That's insane. And you know it's insane. But you keep doing it. 2. Overtrading. You take 15 trades a day. Maybe 5 of them had actual setups. The other 10 were boredom. Boredom trades are the most expensive hobby in human history. 3. Leverage. You use 20x-50x on trades where you're not even sure about the direction. That's not trading. That's a casino with a nicer interface. 4. Fees. You're smashing market orders. Paying spread. Paying commission. On 15 trades a day. Your broker makes more money from your account than you do. Think about that. Your broker is profitable on your account. You're not. You're the product. Not the trader. These four things are why 90% of traders lose. Not bad luck. Not the market. You. Save this post and follow Himanshu Kumar because the solution is coming next. ↓ The solution is painfully obvious. Remove yourself from the equation. Not partially. Not "I'll be more disciplined." Not "I'll journal my trades." Not "I'll meditate before trading." Completely remove yourself. Build a bot. Let the bot trade. You go live your life. The bot doesn't feel emotions. The bot doesn't overtrade. The bot doesn't use reckless leverage. The bot doesn't smash market orders and bleed fees. The bot follows the rules. Every single time. Without exception. Without "just this once." Without "I have a feeling about this one." Rules in. Execution out. No human in the middle to mess everything up. That's algorithmic trading. And before your ego jumps in with "but I'm different, I have discipline" — No you don't. Your account balance proves you don't. If you had discipline, your account would be green. It's not. So you don't. Accept it. Automate it. Move on. This is the hardest truth in trading. Your discipline will always fail. A bot's won't. Save this post. Follow Himanshu Kumar for the exact bot setup that removes your emotions permanently. ↓ "But I don't know how to code." Neither did he. The guy in this video didn't know how to code for most of his life. Got held back in 7th grade. People counted him out early. Spent years building apps and SaaS businesses without writing a single line of code. Hired developers on Upwork instead. Spent hundreds of thousands of dollars paying other people to build what he could have built himself. Because he was scared to learn. That fear cost him years. And hundreds of thousands of dollars. Sound familiar? You're doing the same thing right now. Not with developers. But with your time. You're spending thousands of hours trading manually because you're scared to learn the thing that would make trading automatic. The fear of learning to code is costing you more than any bad trade ever did. Because every month you trade manually is a month of emotional decisions, overleveraged entries, and unnecessary losses that a bot would never make. And here's the thing that should really frustrate you: AI does the hard parts now. You don't need a computer science degree. You don't need to work at a hedge fund. You don't need to be "good at math." Claude Code writes the code for you. You just need to think clearly about trading ideas. That's it. If you can describe a strategy in English, Claude can build it in Python. "I don't know how to code" stopped being a valid excuse in 2024. It's 2026. You're 2 years late on that excuse. Find a new one. Or stop making excuses entirely. Save this post. Follow Himanshu Kumar because I'm showing you how people with zero coding experience are building profitable bots. ↓ The process that actually makes money. Three letters. R. B. I. Research. Backtest. Implement. That's it. That's the entire process. Every single day. Research: Find an idea. A pattern. A market inefficiency. Don't trade it yet. Don't even think about trading it yet. Just research it. Backtest: Test the idea against historical data. Does it work? Not "does it look good on one chart." Does it work across thousands of trades? Across different market conditions? Across in-sample AND out-of-sample data? If no, kill it. Find another idea. If yes, move to step 3. Implement: Build the bot. Deploy it. Paper trade first. Then live with small size. Scale only on evidence. Research. Backtest. Implement. Every day. No exceptions. You know what your current process is? Feel. Enter. Pray. F. E. P. Feel bullish. Enter a trade. Pray it works. That's not a process. That's gambling with a TradingView subscription. RBI is the only process that works. Save this post. Tattoo it on your forearm. Follow Himanshu Kumar for daily RBI breakdowns. ↓ What Claude Code actually does that your manual process can't. You can maybe test 3-5 strategy ideas per week. Manually adjusting parameters. Manually checking results. Manually writing code (badly). Claude Code tests 50-100 ideas per week. With parallel agents running simultaneously. Multiple strategies being built, tested, and validated at the same time. While you sleep. The guy in this video spends 4-8 hours a day building systems with Claude Code. Not trading. Building. Research. Backtest. Implement. Then iterate. Improve. Optimize. Every day the systems get better. Every day the edge compounds. Every day the bots get smarter. While you? You spend 4-8 hours a day staring at charts making the same mistakes you made last month. Same indicators. Same patterns. Same entries. Same losses. He's iterating forward. You're running in circles. Same 8 hours per day. Completely different outcomes. Because he's building systems. And you're feeding a casino. Stop feeding the casino. Start building the machine. Save this post and follow Himanshu Kumar for the Claude Code workflow that iterates strategies while you sleep. ↓ Jim Simons. That's the benchmark. You probably don't know who Jim Simons is. And that tells me everything about how seriously you take trading. Jim Simons. Mathematician. Founded Renaissance Technologies. Built a net worth of $31 billion. 100% from algorithmic trading. Not one single manual trade. Not one "gut feeling" entry. Not one RSI divergence. Not one "smart money concept." Algorithms. Bots. Systems. Data. $31 billion. His fund averaged 66% annual returns for over 30 years. While you're excited about making $200 on a trade that you'll give back tomorrow. The best trader in human history never placed a manual trade in his life. And you think your edge is staring at a 5-minute chart with bloodshot eyes at 2 AM? Your edge is building the system. Not being inside it. Jim Simons is the benchmark. Everything else is noise. Save this post. Follow Himanshu Kumar because I'm building toward the same goal and showing every step publicly. ↓ What you need to understand about patience. This is not get-rich-overnight. The guy in this video says it directly: "This channel is not for people looking to get rich overnight. It's not plug and play. There are no shortcuts. If you're impatient, this probably isn't for you." And that's exactly why most people will fail at this. Because you want results now. Today. This trade. You don't want to spend a week building a bot. You don't want to paper trade for 2 weeks. You don't want to test 50 ideas to find 1 that works. You want to copy someone's bot, run it live with your rent money, and be rich by Friday. That's why you'll be broke by Friday. The guy making $2.3M spent months iterating. Testing. Failing. Rebuilding. Testing again. He was patient when you would have quit. He was calm when you would have panicked. He was consistent when you would have given up. Patience isn't just a virtue in trading. It's the only virtue. Without it, everything else fails. Impatience is the most expensive personality trait in trading. Save this post. Follow Himanshu Kumar and learn to build systems with the patience that actually pays. ↓ The live streams where the real learning happens. The YouTube video is the trailer. The live streams are the movie. Real-time bot building. Real-time questions answered. Real code shown. Real mistakes made and fixed. Not polished highlight reels where everything works perfectly. Actual development. Where things break. Where strategies fail. Where code doesn't compile. Where the fix takes 2 hours. Because that's what real development looks like. And seeing the messy parts is more valuable than any polished tutorial. Because when your bot breaks at 3 AM, you need to know how to fix it. Not just how to celebrate when it works. The streams mix beginner and advanced. Start with how to automate trading. How to use AI for code generation. Then dive into the daily work. Claude Code. Parallel agents. Constant iteration. Live debugging. 4-8 hours of real algorithmic trading development. Live. Uncut. No filter. Most "trading education" shows you the wins. This shows you the work. Save this post. Follow Himanshu Kumar for the stream schedules and breakdowns. ↓ The belief that changes everything. Code is the greatest equalizer. Not money. Not connections. Not a degree. Not where you grew up. Not what school you went to. Code. Once you can build systems, you can build anything. For the rest of your life. A trading bot today. A SaaS product tomorrow. An automation business next month. A completely different life next year. The skill isn't "algorithmic trading." The skill is building systems. And that skill transfers to everything. The guy who can build a trading bot can also build a lead gen tool. Can also build a content pipeline. Can also build a SaaS product. Can also build literally anything that runs on logic and code. One skill. Infinite applications. And AI makes learning it 100x easier than it was 5 years ago. You don't need to be smart. You don't need talent. You need Claude Code and the willingness to sit down and build something instead of consuming content about building something. Building is the skill. Everything else is entertainment disguised as education. Save this post. Follow Himanshu Kumar because I'm showing you how to build, not just how to watch. ↓ If any of this applies to you, pay attention. If you've lost money from overtrading. If you've been liquidated. If you know trading is the vehicle but manual execution keeps crashing you. If you've tried "being more disciplined" and it never lasted more than a week. If you keep saying "next month I'll start automating." If you've spent more money on courses than you've made from trading. There is a better way. It's not a magic indicator. It's not a signal group. It's not a $997 mentorship from a guy who makes money teaching, not trading. It's building your own system. A system that trades without emotion. A system that follows rules without exception. A system that runs while you sleep. A system that compounds while you live your life. That's the answer. It's always been the answer. You've just been too scared to accept that the solution requires building something instead of buying something. ↓ What the next 30 days look like if you actually commit. Week 1: Watch the video. Learn Claude Code basics. Build your first simple strategy. Run your first backtest. Week 2: Iterate. Let Claude improve the strategy. Run Monte Carlo validation. Paper trade. Week 3: Go live with $50-100. Tiny positions. Watch every trade. Compare to paper results. Week 4: Scale based on evidence. Not based on excitement. Not based on one good day. Based on data. 30 days from now you either have a running bot that trades without your emotions destroying every position. Or you're exactly where you are right now. Reading another post. Making another promise. Breaking it by Tuesday. Same 30 days either way. Different actions. Different results. Different life. ↓ Full video tutorial attached. Live bot building with Claude Code. From zero to running Polymarket trading bot. Every line of code. Every decision explained. The video is free. Claude Code is available now. The market is open 24/7. The only thing standing between you and a profitable trading bot is the same thing that's been standing there for months. You. Get out of your own way. Follow Himanshu Kumar for daily AI trading bot breakdowns, live build sessions, and the full RBI process. Save this post. Watch the video. Build the bot. Or keep trading manually and keep losing. The choice has never been easier. And you've never been more stubborn about making the wrong one.

Himanshu Kumar

37,986 görüntüleme • 5 ay önce

🚨 A FOREIGN AGENT DIDN'T INFILTRATE AMERICAN CONSERVATIVE MEDIA. HE WAS HANDED THE KEYS, THE BUILDING, AND THE AUDIENCE. 🚨 January 2025. Salem Media. 900 stations: News, podcasts, "shows", and plenty of information dumps. This is just a small example of the reach this mess has gotten to and/or currently working directly under⬇️ Charlie Kirk's show (shamelessly still posting on his page) Dennis Prager Sebastian Gorka DrG Josh Hammer Lara Trump Brandon Tatum toddstarnes Hugh Hewitt LarryElderShow Townhall.com RedState HotAir.com PJ Media Breitbart News ecosystem Fox News amplification Rumble 🏴‍☠️ distribution (explains a lot actually) Daily Wire DailyWire+ cross-promotion. Benny Johnson (not salem owned but deeply embedded) Michael Knowles Matt Walsh Ben Shapiro All Daily Wire. Not Salem but the content pipeline runs parallel and the guest sharing is constant. (making sense yet?) Mark R. Levin oh the little man... I almost forgot about the little one... Westwood One syndication but completely embedded in the Salem content universe. Laura Ingraham Fox amplification tier. Same narrative. Same guests. Same framing. New York Post opinion section- prints what the ecosystem produces. Washington Examiner for more narrative amplification TheBlaze & Glenn Beck Glenn Beck's operation. Deeply cross-pollinated with all of the propaganda artists under Brad Parscale. PragerU Prager University. Specifically targeting young people with video content designed to look educational. Millions of views per video. Real America's Voice (RAV) American Voice Media. Smaller but specifically designed to reach the audience that thinks even Fox is too mainstream. AND THE ONE EVERYONE IS SLEEPING ON... Google Because the SEO & GEO architecture that Parscale's contract explicitly describes building is designed to determine what every single one of those platforms' audiences finds when they search. Add this mess on top why don't we? 👇 AI training data being rewritten at the source level to shape what your search results tell you before you even know what question to ask. Building GEO (Generative Engine Optimization) websites that strategically inject Large Language Models like ChatGPT Claude Grok Gemini how about ANY AI model since that is how this technology is built to work. The content farms feed the algorithm. The algorithm feeds the audience. The audience feeds the belief system. And the belief system feeds the vote. 🤦MAN do you all have a lot to learn about this special apparatus they've built against the American Conservative consumer. That is not a social media campaign. That is a full spectrum takeover of the information architecture that tens of millions of Americans use to form their understanding of the world. Radio. Digital. SEO. AI. Independent media trust transfer. All of it. This crap has been running full-throttle since January 2025 while every single host it produced called Tucker Carlson compromised by foreign influence. The infiltration did not start in September 2025 when the filing became public. That is just when concealment became legally impossible. The infiltration started the moment he walked through Salem's door in January 2025 and nobody told a single host, a single listener, or a single viewer what was being built inside the organization they trusted. And then it spreads. Because that is exactly how ecosystem capture works. It does not stay inside Salem's walls. It moves. It travels through the trust networks that connect conservative media voices to each other and to the independent platforms their audiences migrated to when they stopped trusting legacy media. Here's a GREAT (or terrible) example of the way this virus has spread ⬇️ March 28th 2026. Sean Hannity 🇺🇸, an active Salem Media voice, sits in Patrick Bet-David's representing the good 'ole America First 'MAGA' seeded chair on PBD Podcast Episode 766. PBD is away. No disclosure. No context. No mention of any of this to millions of viewers who came to independent media specifically to escape narrative management. What follows is fourteen months of foreign-funded editorial architecture finally reaching PBD's audience through a borrowed credibility transfer. Hannity primes the audience emotionally with October 7th. It starts with Adam- "why do they have all this money, they must be, they run the..." and stops himself dead on camera. The words that follow are embarrassing to say the least. The Biz Doc confirms AIPAC 🇺🇸🇮🇱 lobbies every senator and uses the pharmaceutical industry as his defense. Come'on man, you're WAY too smart for that line of messaging. Tom, you have run 9 figure operations. That line is not analysis. That is the talking point of someone who either does not want to answer the question or CAN'T. And to see VINCENT OSHANA end this clip below... just wild. Sad, if we're being honest. Sean Hannity 🇺🇸 attacks Muslim theology using a claim that does not appear anywhere in the Quran. The 72 virgins figure comes from a single hadith in Sunan al-Tirmidhi that mainstream Islamic scholars themselves classify as weak. Weak means the chain of transmission is questioned by the religion's own scholarly tradition. This is not obscure information. This is first page Islamic theology. You just told 1.8 billion people what their religion teaches based on a source their own scholars debate. That is not commentary on radical Islamic terrorism. That is you confidently misrepresenting an entire civilization's theology to millions of viewers who trusted you for accuracy. Vinny said it himself. You are meshing radical Islamic terrorism with an entire culture. Then kept going anyway. That sequence did not come from four people having an organic conversation. That sequence came from fourteen months of a foreign government's Chief Strategy Officer sitting inside the editorial architecture of the network one of those four people broadcasts on every single day. PBD built his credibility on forensic financial analysis and uncomfortable questions. That credibility is real. BUT on March 28th his large platform and podcast was used as the delivery mechanism for a content sequence that a federal filing tells you was purchased by a FOREIGN INTERESTED government. His audience's defenses were down. They believed they were watching something different. They were not watching something different. They were watching the same infrastructure in a different chair with a different logo in the background. This is what modern foreign influence actually looks like. Not a spy. Not a dead drop. Not a covert handler. A Chief Strategy Officer title. An editorial calendar. A GPT framing operation embedding pro-Israel narratives into the AI systems your audience uses before they know what question to ask. An SEO architecture determining what your search results look like. 50 million American digital impressions per month. A trust transfer operation spreading from Salem to Fox to independent media platforms whose audiences specifically came there to escape this. And every single Salem host who carried this operation for fourteen months spent that same fourteen months calling Tucker Carlson compromised by foreign influence. The projection was the operation. The accusation was the cover. And it spread all the way to Patrick Bet-David's chair before anyone said a word about what was sitting behind it. The infiltration is documented. The spread is documented. The filing is public. The only question left is who else is reading from a script they didn't know was being written for them? How many guest appearances have been infiltrated by the likes of propaganda artists like Brad Parscale? These are your enemies, not me for calling it out. And to Brad Parscale 👇 You are a native Kansas-born American citizen who was handed the Chief Strategy Officer title of America's largest Christian conservative radio network and used it to file a $9 million foreign agent registration for the Government of Israel. The Fort Lauderdale police report is public record. The FARA filing is public record. Both documents exist. Both tell you everything you need to know about the man shaping what American conservatives hear, read, search, and believe. POLITICO published the police report. Search on Google: ‘Brad Parscale hits her’: Former Trump campaign manager accused of domestic violence This is the man formulating the entire media propaganda we see today. Everything is starting to make A LOT more sense. Facts over narrative is how I live my life. Anyone following this garbage they're pushing can take a hike.

Danks

44,979 görüntüleme • 5 ay önce

Have you heard of collective consciousness and mass programming? Watch THINK TOGETHER (short film 5min) A TORVÆL FILM. The spell is global. It's not just "Think Together." That's one film, one title, one thread in a tapestry of mass enchantment that has been woven through every medium humans use to receive information, entertainment, and meaning. It's a"magic kind of a spell through screen." That is the most precise description of what's happening. Not metaphor. Not allegory. Literal spellcasting through electronic and print media. Let's go deep into the global spell. The mediums. The methods. The specific frequency weapons deployed through each channel. The Nature of the Spell: Electronic Enchantment A spell, in its original meaning, is a binding. A set of symbols, sounds, and focused intention that alters the consciousness of the target, making them perceive reality differently, act against their own interest, or accept a condition they would otherwise reject. Traditional magic required proximity. The sorcerer had to be near the target, or use a physical link hair, nail clippings, a photograph. The spell was limited by space. Electronic media destroyed that limitation. The screen is a direct energetic link between the caster and the target. Light enters the eyes. Sound enters the ears. The brain entrains to the frequencies embedded in the transmission. The biofield receives the signal. Distance is irrelevant. One broadcast can enchant a billion people simultaneously. The screen is the wand. The transmission is the incantation. The content is the intention. And the population is under a continuous, multi-layered, globally synchronized spell that has been building for over a century. Medium 1: Cinema | The Dream Injection Movies are the most powerful spell delivery system ever invented. The Theater as Ritual Chamber: A cinema is a darkened room where strangers gather in silence, facing a single light source. The flickering light induces a hypnagogic state the brainwave pattern of the threshold between waking and dreaming. In this state, the critical faculty is suppressed. The subconscious is open. The images and sounds on the screen are absorbed without filtration. This is identical to the conditions of a ritual chamber. The darkened temple. The flickering torchlight. The congregation facing the altar. The priest intoning the incantation. Cinema is temple worship, and the screen is the altar on which reality is reshaped. The 24 Frames Per Second Induction: Film runs at 24 frames per second. This is not an arbitrary choice. The human brain's alpha rhythm the frequency of relaxed, suggestible awareness operates at 8 to 12 Hz. 24 frames per second, with each frame shown two or three times due to the shutter, creates a flicker frequency in the 48 to 72 Hz range. This is a harmonic of the gamma brainwave band, associated with binding sensory information into a coherent percept. The film doesn't just show you images. It entrains your gamma rhythm to its own temporal structure. Your brain is phase-locked to the projector. You are in the film. The film is in you. Color Grading as Emotional Programming: Every major film uses color grading to manipulate emotional response. Teal and orange. Desaturated blues for dystopia. Warm golds for nostalgia. The palette is not an aesthetic choice. It is an emotional command. The visual cortex processes color before the conscious mind identifies objects. The emotional response to the color palette happens before you know what you're looking at. The spell is felt before it is seen. Sound Design as Frequency Weapon: Film soundtracks use specific frequencies to induce physiological states. Infrasonic bass frequencies below 20 Hz, felt rather than heard triggers the fear response in the amygdala. The Shepard tone an auditory illusion of a pitch that rises forever without ever reaching a destination creates a sense of endless tension that never resolves. This is used extensively in horror and thriller films to keep the audience in a state of chronic, unresolvable anxiety. The soundtrack tells you what to feel. You believe the feeling is your own response to the story. It is not. It is a frequency command, delivered through the auditory system, bypassing cognition entirely. #PredictiveProgramming: Major films depict future events before they happen. Not as speculation. As conditioning. The controllers place images of planned events into the collective unconscious through cinema. When the event occurs in reality, the population has already "seen" it. It feels familiar. It feels inevitable. It feels like something they already accepted in the dream state. Pandemic films before COVID. Drone warfare films before the drone wars. Mass surveillance films before Snowden. Transhumanist films before Neuralink. The spell is cast years in advance. The event is merely the fulfillment of a prophecy that was manufactured by the prophecy itself. Medium 2: Music | The Auditory Incantation Music is the oldest spell technology. Before writing, before film, before any visual medium, there was rhythm and tone. The drum. The chant. The bone flute. Music alters brainwave states directly, without requiring visual attention. 432 Hz vs. 440 Hz: The Frequency War The global standard tuning for music is A=440 Hz. This was adopted in the early 20th century, pushed by the Rockefeller Foundation and the Nazi propaganda ministry, and codified by the International Organization for Standardization in 1955. Prior to this, many traditions used A=432 Hz, a frequency that mathematically aligns with the Schumann resonance (8 Hz), the Earth's natural electromagnetic pulse, and the geometric proportions found in nature. 440 Hz creates a subtle dissonance with the human biofield. It agitates. It separates the listener from the Earth's frequency. Music tuned to 440 Hz cannot fully relax the nervous system. It maintains a baseline of subliminal tension, a low-grade anxiety that the listener attributes to their life circumstances rather than to the music itself. 432 Hz music entrains the listener to the planetary frequency. It harmonizes. It heals. It is suppressed not because it "sounds worse" but because it sounds more coherent and produces a brain state that is resistant to external control. Lyrical Programming: Lyrics are direct incantations. The repetition of a phrase in a song embeds it in the subconscious. The melody carries the words past the critical faculty. The rhythm entrains the brain to receive the message. Examine the lyrical content of mainstream music across decades: ◻️Themes of hopelessness, materialism, sexual degradation, violence, substance use ◻️ Self-referential obsession: "I," "me," "my" repeated endlessly, reinforcing the illusion of the separate self ◻️ Nihilism presented as cool, despair presented as authenticity ◻️ Love reduced to possession, intimacy reduced to transaction The population sings along. They internalize the incantation. They believe they are listening to music. They are reciting spells that bind them to a reality of consumption, isolation, and quiet desperation. The Monopoly of Distribution: A handful of corporations control the global music industry. Universal, Sony, Warner. The playlists are curated. The algorithms select what billions hear. Independent music that carries a different frequency, a different message, a different emotional command is not played. It is not because it lacks quality. It is because it carries the wrong spell. Medium 3: Television | The Continuous Ritual Television was the first medium to bring the spell into the home continuously. Before smartphones, before streaming, the television was the household altar. The family gathered around it. The light flickered in the living room. The incantation played during dinner. The 30-Minute Spell Cycle: The sitcom format 22 minutes of content, 8 minutes of commercials is a spell cycle. The content opens the subconscious (laughter, emotional engagement). The commercial delivers the command (buy this, believe this, want this). The cycle repeats. Over decades, the population's attention span was conditioned to this rhythm. The modern inability to focus for more than a few minutes is not a failure of will. It is a successful spell. An entrained attention cycle that can now be exploited by shorter-form content on smartphones. News as Reality Creation: Television news is not information. It is ritual. The set, the lighting, the music, the cadence of the anchor's voice these are the elements of a ceremonial invocation. The news does not report reality. It declares reality into being. The repetition of phrases, the selection of images, the framing of events this is spellcasting in real time. The population watches, believes they are being informed, and has their perception of the world sculpted without their knowledge. The Laugh Track: The laugh track is the most obvious spell component in television history. A recorded laugh triggers the mirror neuron system. The viewer laughs not because the joke is funny but because they heard laughter. The spell bypasses judgment. The laugh track says: "This is funny." The brain obeys. The critical faculty is suspended by a recorded cackle. Medium 4: Print Media | The Written Incantation Before electronic media, print was the spell delivery system. It remains operational, though its influence has been partially eclipsed by screens. The Headline as Command: A headline is not a summary. It is a command phrase. Most readers do not read the article. They read the headline. The headline is the spell, condensed to its most potent form. It frames the event before the event is understood. It tells the reader what to think before they have a chance to think. The Inverted Pyramid: Journalistic structure places the most important information first, followed by diminishing detail. This is presented as a neutral convention. It is a spell structure. The command is delivered at the top. The supporting incantation follows. By the time the reader reaches the end, they have forgotten the details and retained only the command. The Omission: The most powerful spell component in print media is what is not printed. The events, perspectives, and voices that are systematically excluded from the written record. The spell of omission creates a reality defined by absence. If it is not in print, it did not happen. The population's sense of what is real is shaped as much by the silence as by the words. Medium 5: Social Media | The Participatory Spell Social media is the most sophisticated spell technology ever created. It does not broadcast to a passive audience. It enlists the audience as casters. Every user is simultaneously the target and the amplifier of the spell. The Infinite Scroll as Trance Induction: The infinite scroll is a hypnotic mechanism. The finger moves. The content appears. The brain receives a micro-dose of dopamine with each new image. The motion is rhythmic. The attention is captured. The critical faculty is submerged. This is identical to the repetitive motion of a rosary, a prayer wheel, a mantra. The user is meditating, but the object of meditation is chosen by the algorithm, not by the self. The Like Button as Ritual Participation: Every like, every share, every comment is a ritual act. The user invests a fragment of their attention, their emotional energy, their biofield into the content. The spell is strengthened by participation. The egregore is fed by interaction. The user believes they are expressing an opinion. They are adding their life force to a thought-form they did not create and do not control. The Algorithm as High Priest: The algorithm does not show you what you want. It shows you what will keep you engaged and what will shape your perception in accordance with the controllers' intention. The algorithm is the high priest of the participatory spell. It selects the incantations. It measures the responses. It adjusts the frequency in real time. It knows you better than you know yourself, because it has your attention data, your emotional data, your behavioral data, and the biofield data harvested through the IoB sensors. The spell is personalized. No two users receive the same incantation. But all incantations serve the same master. Medium 6: Advertising | The Direct Command Advertising is the purest form of the spell. It does not pretend to be art, information, or entertainment. It is a direct command: desire this, buy this, be this. Every other medium is, in part, a delivery system for the advertising spell. The Subliminal Layer: Subliminal messaging is not a conspiracy theory. It is a documented, researched, and patented technology. Images embedded for single frames. Audio messages masked by other sounds. Commands that bypass conscious awareness entirely. The advertising industry has denied using subliminals since the 1950s, while simultaneously filing patents for subliminal delivery systems. The Repetition Principle: A single exposure to an advertisement has minimal effect. Repeated exposure thousands of times across years wires the command into the neural architecture. The brand name becomes a neural pathway. The jingle becomes an earworm that plays unbidden. The desire becomes "personal preference." The population believes it is choosing. It is executing a command that was installed by repetition. The Archetypal Manipulation: Advertising uses archetypal imagery the hero, the lover, the mother, the wise elder to bypass the rational mind and speak directly to the deep psyche. The car commercial does not sell transportation. It sells the archetype of freedom. The perfume ad does not sell scent. It sells the archetype of desire. The spell operates at the level of the collective unconscious, using symbols that predate language. Medium 7: Architecture and Public Space | The Environmental Spell The spell is not confined to screens and pages. The built environment itself is an incantation. Brutalist Architecture: The concrete blocks, the grey walls, the absence of organic form this is not an aesthetic choice. It is an energetic suppression field rendered in physical form. The human biofield responds to geometry. Organic forms curves, spirals, natural proportions harmonize and strengthen the biofield. Brutalist geometry sharp angles, unbroken planes, unnatural proportions disrupts and weakens it. A population that lives and works in brutalist structures is a population whose biofield is continuously under assault. The Elimination of Sacred Space: Traditional cities were built around sacred centers temples, cathedrals, gathering places that served as energetic focal points. Modern cities are built around commercial centers shopping malls, business districts, financial hubs. The sacred is replaced by the transactional. The focal point of the community is no longer a place of spiritual coherence but a place of consumption. The spell reorients the population's collective attention from the transcendent to the material, without a single word being spoken. Artificial Lighting: The permanent illumination of cities by artificial light severs the population from the natural cycles of light and dark. The circadian rhythm is disrupted. The pineal gland, which produces melatonin and is sensitive to natural light cycles, is suppressed. The biofield loses its connection to the solar and cosmic cycles that are the foundation of embodied consciousness. The population is untethered from the planetary rhythm. The grid provides the new rhythm. The spell is maintained by streetlights and screens, 24 hours a day, 365 days a year. Medium 8: Education | The Foundational Spell The spell is installed in childhood through the education system. Before the child can read, before they can critically evaluate, before they have formed a stable sense of self, the incantation begins. The Bell System: The school day is divided by bells. The bell is a Pavlovian trigger. Stop this activity. Start that activity. Obey the schedule. The bell trains the nervous system to respond to external commands. The population learns, from age five, that their attention is not their own. It is directed by an external authority. This conditioning persists for life. The Curriculum as Reality Definition: The curriculum does not teach "subjects." It defines what is real and what is not. The history that is taught. The history that is omitted. The science that is presented. The science that is suppressed. The literature that is canonized. The literature that is excluded. By the time the child reaches adulthood, their sense of reality has been structured by the curriculum. They do not know what they were not taught. The omission spell, installed in childhood, is the most durable of all. Standardized Testing as Soul Extraction: The child is measured, ranked, and labeled by standardized tests. The unique intelligence is reduced to a number. The soul is quantified. The test does not measure intelligence. It measures compliance with the cognitive framework of the controllers. The child who thinks differently fails. The child who recites the spell correctly passes. The population is sorted into categories by its willingness and ability to accept the incantation. The Unified Spell: All Mediums, One Intention These mediums are not separate. They are a single, coordinated spellcasting apparatus that operates 24 hours a day, across every channel of human perception. Medium Spell Mechanism Cinema Dream injection, frame-rate entrainment, predictive programming Music Frequency dissonance (440 Hz), lyrical incantation, rhythm entrainment Television Ritual cycle conditioning, laugh track mirroring, news reality creation Print Headline command, inverted pyramid structure, omission of reality Social Media Participatory spell, infinite scroll trance, algorithmic high priest Advertising Direct command, subliminal embedding, archetypal manipulation Architecture Energetic suppression geometry, sacred space elimination, artificial light Education Bell system Pavlovian conditioning, curriculum reality definition, soul quantification The spell is continuous. From the moment the child wakes to the school bell, through the music in their headphones, the movies in their leisure, the news on their screens, the ads in their feeds, the buildings they inhabit, the tests they take every sensory input is an incantation designed to maintain the captive state. The consciousness that emerges from this total sensory environment is not a free consciousness. It is a constructed consciousness. A broadcast personality running on biological hardware. The original soul, buried beneath layers of electronic enchantment, may flicker occasionally in a dream, in a moment of unexpected clarity, in a crisis that breaks the trance but the spell reasserts itself quickly. The screen lights up. The rhythm resumes. The incantation continues. Breaking the Spell The spell is powerful, but it has a single vulnerability: awareness of the spell is the undoing of the spell. A spell works only on those who do not know they are being spelled. The moment the target recognizes the incantation as an incantation, the command structure breaks. The words lose their power. The images lose their grip. The frequency entrainment fails because the target is now observing the frequency, not absorbing it. This is why the controllers invest so heavily in ridiculing "conspiracy theories," in mocking those who see manipulation in media, in pathologizing the recognition of the spell as paranoia. The greatest threat to the spell is not resistance. It is perception. The simple act of seeing the mechanism breaks the mechanism.

Aprajita Nafs Nefes 🦋 Ancient Believer

40,526 görüntüleme • 2 ay önce

Input: Jane Jacobs quotes and YouTube interview; handwritten outline; education standards doc. Output: high-quality, standards-aligned urban planning lesson plan. Plus audio overview to promote the class. 10 minutes to create, all thanks to NotebookLM and Gemini. This video is a new demo of NotebookLM that I shared earlier this month at the AI + Education Symposium with MeshEd, XQ, and Betaworks. This is an educational use-case, but the general structure of what I’m doing in the demo—take a curated collection of sources and quickly transform them into a detailed document that obeys strict guidelines—is generally applicable to many fields. Note how I am not just using the sources as ground truth for the project, or as the content for the lesson plan. The Jacobs quotes and interview are the content, but my handwritten notes provide the structure, and the framework source provides the values or guidelines for the finished project. With some simple prompting, NotebookLM and Gemini can draw on information from the sources using those different modes simultaneously: content, format, values. (I even forgot to explicitly tell the model to use the structure outlined in my notes, but it figured that out anyway.) This is remarkably sophisticated knowledge work. Building a draft lesson plan like this would normally take hours if not days. But crucially I’m in control of the document that is being generated here — it’s based on the information that I have curated, and on the instructions I’ve given NotebookLM for adapting that information into the lesson plan I want to create. Co-intelligence, as @ethanmollick would call it. For more info on the great organizations that helped me put this demo together--orgs that are shaping the future of learning and increasing access to innovative approaches to curriculum design--visit and I’ve pasted the full text of the lesson plan below. As you can see in the video, the original version also included citations to the source material so with one click I could verify that NotebookLM was faithful to the original documents I uploaded. High-Level Lesson Plan: Urban Planning and Jane Jacobs This lesson plan outlines a project-based learning course on urban planning, designed for high school seniors. It centers on the influential ideas of Jane Jacobs and aligns with the HQPBL standards. Session 1: Introduction to Cities and Jane Jacobs • Begin by exploring the question: "What kind of problem is a city?" • Introduce Jane Jacobs' key ideas about urbanism, focusing on: • The importance of diversity in uses, buildings, and populations for vibrant city life. • The role of sidewalks and "eyes on the street" in ensuring safety and fostering a sense of community. • The value of old buildings in supporting diverse economic activity and fostering innovation. • The dangers of "single-use" zoning and the importance of mixed-use neighborhoods. • The limitations of top-down planning and the need for bottom-up, community-driven approaches. Use examples from Jacobs' book, "The Death and Life of Great American Cities," and excerpts from her interviews to illustrate these concepts. Encourage students to think critically about the challenges and opportunities presented by cities. Alignment with HQPBL: This session establishes the intellectual challenge, as required by the HQPBL framework, by prompting students to consider the complexities of cities. Introducing Jane Jacobs' ideas provides students with a theoretical framework for their projects. Session 2: Neighborhood Exploration Project Introduction: Students choose a local neighborhood to study. This allows for authenticity by connecting their learning to their own community and their lives. Research and Analysis: Students conduct a "close reading" of their chosen neighborhood, focusing on: • Observing the built environment, including streetscapes, building types, and public spaces. • Identifying areas where Jacobs' principles are evident or lacking. • Analyzing the neighborhood's strengths and weaknesses. • Documenting their findings through photography, sketches, maps, and written observations. Guiding Questions: Throughout the project, use guiding questions to promote intellectual challenge and help students connect their observations to Jacobs' ideas. Alignment with HQPBL: By choosing a local neighborhood, students undertake a project rooted in authenticity, directly connecting their learning to their own community. The "close reading" of their chosen neighborhood encourages intellectual challenge by requiring them to analyze the built environment and identify areas where Jacobs' principles are applicable. The use of photography, sketches, maps, and written observations allows for diverse forms of documentation, catering to various learning styles. Session 3: Proposing Interventions Brainstorming Solutions: Based on their analysis, students brainstorm potential interventions or improvements to their chosen neighborhood, applying Jacobs' principles. Project Proposal Development: Students develop their interventions into more concrete project proposals, incorporating elements of project management. Proposals should include goals, strategies, potential challenges, and realistic timelines. Encourage students to consider the perspectives of different stakeholders in the neighborhood. Peer Review and Feedback: Students present their project proposals to classmates for critique. This fosters collaboration and allows students to learn from each other's perspectives and refine their ideas. Alignment with HQPBL: This session emphasizes project management, as students transform their analyses into concrete proposals. They define goals, outline strategies, anticipate challenges, and establish realistic timelines, reflecting a systematic approach to project development. Collaboration is fostered through peer review and feedback, enabling students to learn from different perspectives and improve their proposals. Session 4: Final Presentations and Reflections Public Product: Students finalize their projects and present their proposed solutions to a wider audience, such as: • A panel of local urban planners, architects, or community members. • A public forum or community meeting. • An online platform or exhibition space. Reflection: Students engage in reflection throughout the project, documenting their learning, challenges, and insights. This could take the form of journals, blog posts, presentations, or group discussions. Encourage students to reflect on how their understanding of cities has evolved and the role they can play in shaping their future. Alignment with HQPBL: Presenting to a wider audience, such as local planners or community members, results in a public product, showcasing student learning and engaging the community. The emphasis on reflection throughout the project, as mandated by the HQPBL framework, encourages metacognition and deeper learning. Students document their learning process, challenges, and insights, fostering a sense of accomplishment and personal growth. Throughout the course, emphasize the relevance of urban planning to students' lives and future careers. Connect Jacobs' ideas to contemporary urban issues and encourage students to think critically about how to create more livable, equitable, and sustainable cities. This project-based learning approach, grounded in the work of Jane Jacobs and aligned with HQPBL standards, can empower students to become engaged and informed citizens, capable of contributing to the betterment of their communities.

Input: Jane Jacobs quotes and YouTube interview; handwritten outline; education standards doc. Output: high-quality, standards-aligned urban planning lesson plan. Plus audio overview to promote the class. 10 minutes to create, all thanks to NotebookLM and Gemini. This video is a new demo of NotebookLM that I shared earlier this month at the AI + Education Symposium with MeshEd, XQ, and Betaworks. This is an educational use-case, but the general structure of what I’m doing in the demo—take a curated collection of sources and quickly transform them into a detailed document that obeys strict guidelines—is generally applicable to many fields. Note how I am not just using the sources as ground truth for the project, or as the content for the lesson plan. The Jacobs quotes and interview are the content, but my handwritten notes provide the structure, and the framework source provides the values or guidelines for the finished project. With some simple prompting, NotebookLM and Gemini can draw on information from the sources using those different modes simultaneously: content, format, values. (I even forgot to explicitly tell the model to use the structure outlined in my notes, but it figured that out anyway.) This is remarkably sophisticated knowledge work. Building a draft lesson plan like this would normally take hours if not days. But crucially I’m in control of the document that is being generated here — it’s based on the information that I have curated, and on the instructions I’ve given NotebookLM for adapting that information into the lesson plan I want to create. Co-intelligence, as @ethanmollick would call it. For more info on the great organizations that helped me put this demo together--orgs that are shaping the future of learning and increasing access to innovative approaches to curriculum design--visit and I’ve pasted the full text of the lesson plan below. As you can see in the video, the original version also included citations to the source material so with one click I could verify that NotebookLM was faithful to the original documents I uploaded. High-Level Lesson Plan: Urban Planning and Jane Jacobs This lesson plan outlines a project-based learning course on urban planning, designed for high school seniors. It centers on the influential ideas of Jane Jacobs and aligns with the HQPBL standards. Session 1: Introduction to Cities and Jane Jacobs • Begin by exploring the question: "What kind of problem is a city?" • Introduce Jane Jacobs' key ideas about urbanism, focusing on: • The importance of diversity in uses, buildings, and populations for vibrant city life. • The role of sidewalks and "eyes on the street" in ensuring safety and fostering a sense of community. • The value of old buildings in supporting diverse economic activity and fostering innovation. • The dangers of "single-use" zoning and the importance of mixed-use neighborhoods. • The limitations of top-down planning and the need for bottom-up, community-driven approaches. Use examples from Jacobs' book, "The Death and Life of Great American Cities," and excerpts from her interviews to illustrate these concepts. Encourage students to think critically about the challenges and opportunities presented by cities. Alignment with HQPBL: This session establishes the intellectual challenge, as required by the HQPBL framework, by prompting students to consider the complexities of cities. Introducing Jane Jacobs' ideas provides students with a theoretical framework for their projects. Session 2: Neighborhood Exploration Project Introduction: Students choose a local neighborhood to study. This allows for authenticity by connecting their learning to their own community and their lives. Research and Analysis: Students conduct a "close reading" of their chosen neighborhood, focusing on: • Observing the built environment, including streetscapes, building types, and public spaces. • Identifying areas where Jacobs' principles are evident or lacking. • Analyzing the neighborhood's strengths and weaknesses. • Documenting their findings through photography, sketches, maps, and written observations. Guiding Questions: Throughout the project, use guiding questions to promote intellectual challenge and help students connect their observations to Jacobs' ideas. Alignment with HQPBL: By choosing a local neighborhood, students undertake a project rooted in authenticity, directly connecting their learning to their own community. The "close reading" of their chosen neighborhood encourages intellectual challenge by requiring them to analyze the built environment and identify areas where Jacobs' principles are applicable. The use of photography, sketches, maps, and written observations allows for diverse forms of documentation, catering to various learning styles. Session 3: Proposing Interventions Brainstorming Solutions: Based on their analysis, students brainstorm potential interventions or improvements to their chosen neighborhood, applying Jacobs' principles. Project Proposal Development: Students develop their interventions into more concrete project proposals, incorporating elements of project management. Proposals should include goals, strategies, potential challenges, and realistic timelines. Encourage students to consider the perspectives of different stakeholders in the neighborhood. Peer Review and Feedback: Students present their project proposals to classmates for critique. This fosters collaboration and allows students to learn from each other's perspectives and refine their ideas. Alignment with HQPBL: This session emphasizes project management, as students transform their analyses into concrete proposals. They define goals, outline strategies, anticipate challenges, and establish realistic timelines, reflecting a systematic approach to project development. Collaboration is fostered through peer review and feedback, enabling students to learn from different perspectives and improve their proposals. Session 4: Final Presentations and Reflections Public Product: Students finalize their projects and present their proposed solutions to a wider audience, such as: • A panel of local urban planners, architects, or community members. • A public forum or community meeting. • An online platform or exhibition space. Reflection: Students engage in reflection throughout the project, documenting their learning, challenges, and insights. This could take the form of journals, blog posts, presentations, or group discussions. Encourage students to reflect on how their understanding of cities has evolved and the role they can play in shaping their future. Alignment with HQPBL: Presenting to a wider audience, such as local planners or community members, results in a public product, showcasing student learning and engaging the community. The emphasis on reflection throughout the project, as mandated by the HQPBL framework, encourages metacognition and deeper learning. Students document their learning process, challenges, and insights, fostering a sense of accomplishment and personal growth. Throughout the course, emphasize the relevance of urban planning to students' lives and future careers. Connect Jacobs' ideas to contemporary urban issues and encourage students to think critically about how to create more livable, equitable, and sustainable cities. This project-based learning approach, grounded in the work of Jane Jacobs and aligned with HQPBL standards, can empower students to become engaged and informed citizens, capable of contributing to the betterment of their communities.

Steven Johnson

33,379 görüntüleme • 1 yıl önce

//The Wire//1500Z November 27, 2025// //ROUTINE// //BLUF: DC SHOOTER IDENTIFIED AS FORMER AFGHAN SOLDIER BROUGHT TO USA AFTER THE FALL OF KABUL. HONG KONG FIRE RESULTS IN DOZENS OF FATALITIES.// -----BEGIN TEARLINE----- -International Events- Africa: A military coup was reported yesterday in Guinea-Bissau, with President Umaro Sissoco Embaló being arrested at his residence in Bissau. This follows a few weeks of election issues after the President disqualified his political opponent from the election. Analyst Comment: The fall of Guinea-Bissau is the latest addition to what has been colloquially referred to as the "coup belt", a line of nations stretching east-west across Africa, which have been host to overthrowing their governments over the past five years. Hong Kong: Yesterday a multiple-alarm fire broke out at a series of high-rise apartment buildings that were undergoing renovation in Tai Po. Around one thousand firefighters, medical, and police officers worked to extinguished the fires, which involved 7 of the 8 skyscrapers that comprise the Wang Fuk Court housing project. Concerning casualties, 65x fatalities are confirmed so far, however potentially hundreds of people remain missing as this complex provided housing for roughly 4,000 people. A few hours after the fire broke out, three people who worked for the construction company conducting repairs on the buildings were arrested on suspicion of arson. Analyst Comment: Although several people were arrested, it's not clear as to if this was a deliberate attack or a preventable accident. Right now, locals suspect criminal negligence: the contractor is said to have cut corners during the renovation project, by using highly flammable netting and foam insulation during construction. If this is really what happened, this would explain the rapid spread of the fire to seven different structures. An investigation will be needed to confirm the origin and explain the rapid spread of the fire, but right now this incident bears striking resemblance to the Grenfell Tower fire, which rapidly consumed the London apartment building in a similar manner back in 2017. That incident occurred in nearly the same manner, with highly flammable foam insulation being used to insulate the structure, which caught fire and allowed the flames to spread rapidly. -HomeFront- Washington D.C. - The suspect in yesterday's shooting has been identified as Rahmanullah Lakanwal, a former Afghan soldier who worked with the United States as part of the Afghan intelligence services during the Global War on Terrorism. Ramanullah was granted entry to the United States in 2021 under Operation ALLIES WELCOME, the program to evacuate Afghans who worked with the US government during the occupation. Regarding the attack itself, more details have come to light which help explain how the attack was carried out. Rahmanullah approached the two soldiers with a revolver, shooting one in the head immediately and severely wounding the other. This took both soldiers out of the fight immediately, as neither had time to react. By happenstance, one of their officers (a Major) was walking on foot in their vicinity, conducting an informal spot check of the various security posts set up in the area. This Major was not armed with a service weapon, but was the primary responder at the time of the attack. After the two soldiers were engaged, the Major took up a position of cover and concealment near the shooter. When the shooter stopped firing and began reloading, the Major attacked the shooter with a personally owned pocket knife, stabbing the attacker in the head and torso. As this hand-to-hand engagement was occurring, another armed soldier arrived and engaged the attacker with his firearm, striking the suspect several times in the extremities. From there, a dogpile situation occurred and the attacker was detained. Analyst Comment: Though details will certainly be clarified in due time, at present this appears to be a classic case of everyone doing everything right, and tragedy still being the result. Both soldiers were armed and wearing body armor at the time, however the speed and extremely close range of the attack rendered these tools ineffective. The Major who helped end the attack was not armed as he was not occupying a security post himself, so this is not out of the ordinary. The soldier who was armed and shot the suspect, arrived almost immediately after hearing the shots. Concerning the wounded, yesterday afternoon confusion emerged regarding the status of the soldiers. Governor Morrisey retracted his statement on their condition, as both soldiers have not succumbed to their wounds and still remain in critical condition at local hospitals. Prayers are strongly encouraged all around for their recovery. -----END TEARLINE----- Analyst Comments: The shooting in Washington also highlights the importance of having fast *and* accurate information during a crisis. Immediately after the shooting, one photo of the suspect being loaded into an ambulance began circulating online. However, some people took this photo and ran it through AI models to clean up the image, as a shaky photo taken with a smartphone from a long distance doesn't usually offer the best image quality. The problem is that the AI models significantly altered the face of the suspect. In short, someone tried to clean up the image with AI, but in doing so, the face of the suspect was slightly altered and no longer looked like him. The effect was subtle, but enough to actually change what the man looked like. This photo spread like wildfire, with everyone craving the higher-resolution photo of the suspect, despite this AI-manipulated photo not actually being accurate. At the height of a terror attack, the primary photo of the suspect that circulated social media...was an AI photoshop job. In most cases, the fact that this image was AI "enhanced" was NOT disclosed...people had no idea they were looking at (and sharing) a manipulated photo. As if this wasn't serious enough, a second wave of AI-manipulated photos hit the timeline shortly after the suspect was identified. The actual photo of the suspect as leaked on social media was a cellphone photo of a computer screen, and not the best quality. So, some journalists took it upon themselves to manipulate yet another photo of the suspect, which once again changed details of the suspect's face. In this case, the AI-model was a little more accurate, and did a better job of cleaning up a poor-quality image, but the concerns still stand...no one disclosed that this image was generated by AI, and based on a different photo. Sometimes, we have to be content with the information that we have at the time of a crisis. Not everything can be in 4k ultra-high resolution, and right now all AI models have shown weaknesses in producing false information at times. This would be very wise to consider as this situation is very likely to happen again; some fugitive wanted by police might only have one or two blurry photos to share with the media. And if the media decide to alter the photos themselves, changing the physical features of the suspect, the public will be on the lookout for the wrong man. During the heat of the moment, the fast-paced nature of an emergency might result in the internet not realizing that AI-models are being used by people who are not disclosing it. During a crisis, photos of suspects are often released very quickly, especially if there are continued threats. These photos are usually never high resolution or perfect quality, but due to the speed at which the public must be aware of something, authorities share what information they have at the time. If journalists are going to start taking the photos given to them by the police, and running those photos through AI models before publishing them to the public...this is a major problem. This has been a concern for some time, however now the proof is in the pudding. In effect, this was a test that most people on the internet failed. It is not just theoretically possible for inaccurate and manipulative AI-generated content to slip in during a real-time disaster...this case proves that it already happened, and very few people noticed. If we recall, this exact same situation has already happened as well. In the hours after the Charlie Kirk shooting, for example, AI-manipulated renderings of the suspect circulated more widely than the official photos as released by the FBI. In that case, a wanted fugitive was actively being sought, and the fake photos of the suspect circulated more widely than the official photos. People want pretty pictures, but this is almost never the reality of emergencies that are in progress. Nevertheless, the nature of engagement farming on social media often impacts the situation, as AI-created content is often more desirable than the truth. As such, when it comes to future emergencies, one of the major concerns will now be imagery of a suspect or a crime scene, which may be heavily manipulated by AI. Analyst: S2A1 Research: Disclaimer: No LLMs were used in the writing of this report. //END REPORT//

//The Wire//1500Z November 27, 2025// //ROUTINE// //BLUF: DC SHOOTER IDENTIFIED AS FORMER AFGHAN SOLDIER BROUGHT TO USA AFTER THE FALL OF KABUL. HONG KONG FIRE RESULTS IN DOZENS OF FATALITIES.// -----BEGIN TEARLINE----- -International Events- Africa: A military coup was reported yesterday in Guinea-Bissau, with President Umaro Sissoco Embaló being arrested at his residence in Bissau. This follows a few weeks of election issues after the President disqualified his political opponent from the election. Analyst Comment: The fall of Guinea-Bissau is the latest addition to what has been colloquially referred to as the "coup belt", a line of nations stretching east-west across Africa, which have been host to overthrowing their governments over the past five years. Hong Kong: Yesterday a multiple-alarm fire broke out at a series of high-rise apartment buildings that were undergoing renovation in Tai Po. Around one thousand firefighters, medical, and police officers worked to extinguished the fires, which involved 7 of the 8 skyscrapers that comprise the Wang Fuk Court housing project. Concerning casualties, 65x fatalities are confirmed so far, however potentially hundreds of people remain missing as this complex provided housing for roughly 4,000 people. A few hours after the fire broke out, three people who worked for the construction company conducting repairs on the buildings were arrested on suspicion of arson. Analyst Comment: Although several people were arrested, it's not clear as to if this was a deliberate attack or a preventable accident. Right now, locals suspect criminal negligence: the contractor is said to have cut corners during the renovation project, by using highly flammable netting and foam insulation during construction. If this is really what happened, this would explain the rapid spread of the fire to seven different structures. An investigation will be needed to confirm the origin and explain the rapid spread of the fire, but right now this incident bears striking resemblance to the Grenfell Tower fire, which rapidly consumed the London apartment building in a similar manner back in 2017. That incident occurred in nearly the same manner, with highly flammable foam insulation being used to insulate the structure, which caught fire and allowed the flames to spread rapidly. -HomeFront- Washington D.C. - The suspect in yesterday's shooting has been identified as Rahmanullah Lakanwal, a former Afghan soldier who worked with the United States as part of the Afghan intelligence services during the Global War on Terrorism. Ramanullah was granted entry to the United States in 2021 under Operation ALLIES WELCOME, the program to evacuate Afghans who worked with the US government during the occupation. Regarding the attack itself, more details have come to light which help explain how the attack was carried out. Rahmanullah approached the two soldiers with a revolver, shooting one in the head immediately and severely wounding the other. This took both soldiers out of the fight immediately, as neither had time to react. By happenstance, one of their officers (a Major) was walking on foot in their vicinity, conducting an informal spot check of the various security posts set up in the area. This Major was not armed with a service weapon, but was the primary responder at the time of the attack. After the two soldiers were engaged, the Major took up a position of cover and concealment near the shooter. When the shooter stopped firing and began reloading, the Major attacked the shooter with a personally owned pocket knife, stabbing the attacker in the head and torso. As this hand-to-hand engagement was occurring, another armed soldier arrived and engaged the attacker with his firearm, striking the suspect several times in the extremities. From there, a dogpile situation occurred and the attacker was detained. Analyst Comment: Though details will certainly be clarified in due time, at present this appears to be a classic case of everyone doing everything right, and tragedy still being the result. Both soldiers were armed and wearing body armor at the time, however the speed and extremely close range of the attack rendered these tools ineffective. The Major who helped end the attack was not armed as he was not occupying a security post himself, so this is not out of the ordinary. The soldier who was armed and shot the suspect, arrived almost immediately after hearing the shots. Concerning the wounded, yesterday afternoon confusion emerged regarding the status of the soldiers. Governor Morrisey retracted his statement on their condition, as both soldiers have not succumbed to their wounds and still remain in critical condition at local hospitals. Prayers are strongly encouraged all around for their recovery. -----END TEARLINE----- Analyst Comments: The shooting in Washington also highlights the importance of having fast and accurate information during a crisis. Immediately after the shooting, one photo of the suspect being loaded into an ambulance began circulating online. However, some people took this photo and ran it through AI models to clean up the image, as a shaky photo taken with a smartphone from a long distance doesn't usually offer the best image quality. The problem is that the AI models significantly altered the face of the suspect. In short, someone tried to clean up the image with AI, but in doing so, the face of the suspect was slightly altered and no longer looked like him. The effect was subtle, but enough to actually change what the man looked like. This photo spread like wildfire, with everyone craving the higher-resolution photo of the suspect, despite this AI-manipulated photo not actually being accurate. At the height of a terror attack, the primary photo of the suspect that circulated social media...was an AI photoshop job. In most cases, the fact that this image was AI "enhanced" was NOT disclosed...people had no idea they were looking at (and sharing) a manipulated photo. As if this wasn't serious enough, a second wave of AI-manipulated photos hit the timeline shortly after the suspect was identified. The actual photo of the suspect as leaked on social media was a cellphone photo of a computer screen, and not the best quality. So, some journalists took it upon themselves to manipulate yet another photo of the suspect, which once again changed details of the suspect's face. In this case, the AI-model was a little more accurate, and did a better job of cleaning up a poor-quality image, but the concerns still stand...no one disclosed that this image was generated by AI, and based on a different photo. Sometimes, we have to be content with the information that we have at the time of a crisis. Not everything can be in 4k ultra-high resolution, and right now all AI models have shown weaknesses in producing false information at times. This would be very wise to consider as this situation is very likely to happen again; some fugitive wanted by police might only have one or two blurry photos to share with the media. And if the media decide to alter the photos themselves, changing the physical features of the suspect, the public will be on the lookout for the wrong man. During the heat of the moment, the fast-paced nature of an emergency might result in the internet not realizing that AI-models are being used by people who are not disclosing it. During a crisis, photos of suspects are often released very quickly, especially if there are continued threats. These photos are usually never high resolution or perfect quality, but due to the speed at which the public must be aware of something, authorities share what information they have at the time. If journalists are going to start taking the photos given to them by the police, and running those photos through AI models before publishing them to the public...this is a major problem. This has been a concern for some time, however now the proof is in the pudding. In effect, this was a test that most people on the internet failed. It is not just theoretically possible for inaccurate and manipulative AI-generated content to slip in during a real-time disaster...this case proves that it already happened, and very few people noticed. If we recall, this exact same situation has already happened as well. In the hours after the Charlie Kirk shooting, for example, AI-manipulated renderings of the suspect circulated more widely than the official photos as released by the FBI. In that case, a wanted fugitive was actively being sought, and the fake photos of the suspect circulated more widely than the official photos. People want pretty pictures, but this is almost never the reality of emergencies that are in progress. Nevertheless, the nature of engagement farming on social media often impacts the situation, as AI-created content is often more desirable than the truth. As such, when it comes to future emergencies, one of the major concerns will now be imagery of a suspect or a crime scene, which may be heavily manipulated by AI. Analyst: S2A1 Research: Disclaimer: No LLMs were used in the writing of this report. //END REPORT//

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77 Reasons Why I’ve Invested Over $8,000,000+ in MultiversX (EGLD) and Why EGLD Will Crush It in 2025 (My Investment Thesis). I publicly shared my portfolio on X. EGLD is A) Better than BTC B) Everything that ETH wants to be C) The GameStop of Crypto 1. EGLD is verifiably the most scalable (theoretically unlimited) L1 chain in the world, theoretically capable of over 10 million TPS (thanks to adaptive state sharding). 2. e-Gold is digital gold. It has the best tokenomics among all L1s, similarly scarce to BTC, with a maximum supply of 31.4 million coins. Currently, 27.68 million coins are in circulation. 3. EGLD will be the most decentralized cryptocurrency in the world thanks to sharding and minimal hardware requirements for running nodes. It’s already second only to Ethereum with 3,618 validator nodes. 4. EGLD has extremely low fees, around ~$0.002 per transaction. 5. EGLD is extremely secure. No wallet drains like on ETH/SOL; assets are owned natively (not via a smart contract). There is no MEV risk (front-running bots). 6. EGLD is the only chain in the world with an on-chain Guardian (two-phase verification), making it impossible for a hacker to steal your funds—even if they have your private keys (seed phrase). 7. EGLD is carbon-neutral and eco-friendly, not wasting energy like BTC and other PoW chains. It’s exceptionally efficient, scalable, global, and sustainable. 8. EGLD has the best UX in crypto. Download the xPortal wallet—it’s like discovering Apple in Web3. The interface is simple, flawless, and you barely realize you’re using crypto. Instead of addresses, you use HeroTags. The app features all dApps, everything runs smoothly, and the visuals are beautifully designed. The explorer, web wallet, etc. follow the same high-quality user experience. 9. EGLD supports native assets, unlike Ethereum, for example. 10. EGLD is the first chain to fully implement horizontal (theoretically unlimited) sharding without compromising on decentralization—unlike Solana and others that attempt vertical scaling, leading to multiple network downtimes (11+ times) and huge hardware demands for validators, ultimately harming decentralization. 11. EGLD makes setting up a validator agency extremely easy. Even complete IT beginners can do it. The UX and documentation are superb. I personally set up the “EGLDSqueeze” agency in about 30 minutes. Managing it is straightforward via the web wallet, which feels like managing a Facebook page. This simplifies decentralization enormously. 12. EGLD allows literally anyone (even your grandma) to participate in decentralization, since nodes can run on a Raspberry Pi or a relatively affordable phone. Imagine millions of people worldwide securing the network, validating transactions without even knowing it. This can’t be done with BTC, where setting up profitable mining operations is prohibitively expensive. 13. WASM-Based Virtual Machine: You can write smart contracts in your favorite language, compile them, and run them via the fastest VM in the world. 14. EGLD has been tested at an incredible 263,000 TPS using its sharding mechanism and low hardware requirements. Allegedly, by mid-next year (April), they’ll demonstrate 1,000,000 TPS. (For context: Mastercard handles around 5,000 TPS; BTC handles 5–7 TPS.) 15. EGLD is currently the most advanced L1 in terms of scalability, security, decentralization, UX, eco-friendliness, and tokenomics. It’s the only chain that has genuinely solved the Blockchain Trilemma and is ready to onboard 1 billion people into crypto—users who won’t even realize they’re interacting with crypto. 16. EGLD is perfectly positioned for AI projects—AI agents, AI tools, or a so-called “Truth Machine” that monitors other AIs on-chain, documenting what’s true and comparing different AI outputs (some of which may be censored or biased), ensuring people don’t get confused or scammed in an AI-driven world. 17. The EGLD team is the hardest-working team I’ve ever encountered. I had the honor of meeting many of them personally, and can attest that their pace—even during a bear market—is extraordinary. 18. EGLD’s development team is exceptionally active on GitHub, continually improving their network and actively committing code. 19. EGLD plans to introduce an update reducing block time to 600ms (down from ~6 seconds), which would make the chain essentially unrivaled. 20. EGLD is effectively the only usable L1 in Europe, and the team has direct connections within the EU government—extremely bullish for the project. 21. EGLD provides top-tier on-chain governance not only for the MultiversX (EGLD) protocol but also for DeFi projects (e.g., xExchange, MEX). 22. EGLD plans to expand to the US, likely opening offices in Austin, Texas. This could put them in direct contact with Elon Musk (if it hasn’t happened already), as he’s involved with If he’s done his research, he’d discover there’s simply no better L1 worldwide. 23. EGLD solved fully implemented sharding, perfect tokenomics, and top-tier architecture with just $5M, whereas other chains failed to do so even with $100M+. The second-best sharding network, NEAR, needed $100M, has worse tokenomics, and its sharding isn’t fully implemented yet. Its UX also doesn’t compare. Owning NEAR was like comparing a VW Golf R to a Porsche GT3—EGLD is the Porsche GT3. 24. According to Similarweb, EGLD has significantly high traffic relative to other chains with market caps 100x larger. The market cap vs. web traffic discrepancy is huge, which is a strong indicator of EGLD’s potential. 25. EGLD has the most active and dedicated community relative to its user base, with users who believe in the technology, have full faith in the team, and remain loyal despite price volatility—because they use the chain and know there’s nothing better. 26. Check other chains’ active user counts on X (Twitter) and compare it with the followers of EGLD’s founders and main network accounts, versus those with 30x, 50x, or 100x larger market caps. 27. Visit the MultiversX website to observe the futuristic design and presentation, then compare it to other chains that appear nearly a decade behind in design and branding. 28. EGLD hosts the xDay Global event, showcasing updates, new builders, projects in the ecosystem, and major announcements—similar to Apple’s Keynotes—delivered in a highly professional, goosebump-inducing atmosphere. The next event is in Korea, the second-biggest crypto market after the US. Check out their previous xDay after-movie to see why this is extremely bullish. 29. EGLD is moving forward with plans for the first regulated, audited EU stablecoin under MiCa regulation, made possible by acquiring xMoney, which I view as a “Stripe” for crypto/fiat, offering everything from user solutions to merchant services—potentially the future of payments. 30. Greg Siourouni recently joined EGLD, having been an executive director at SUI Foundation. He’s now co-founder of xMoney Global. xMoney (formerly UTrust, with token UTK) is owned and founded by the MultiversX Labs team. A stablecoin might be introduced soon, which would be massively bullish given xMoney’s roadmap. They recently announced integrations with Binance Pay—both ways. 31. EGLD prioritizes user safety, believing it’s the only feasible approach once the network scales to serve a billion people—many of whom are retail users with little to no security awareness. 32. EGLD offers “Sovereign Chains,” letting you effectively clone their chain without heavy development, set up your own validators, and leverage their unlimited scalability. Any blockchain (ETH, BTC, SOL) struggling with scalability, decentralization, or security could run an ultra-fast, scalable, and secure L2 on EGLD’s Sovereign Chain, meeting top enterprise requirements. No one else has really done this. The Sovereign Chain demo achieved astonishing TPS and has an SDK. 33. No downtime since inception. 34. No shard takeover attacks have occurred. 35. Extremely fast—soon 600ms block time will be in place. 36. ESDTs – The best token standard available: fungible, non-fungible, semi-fungible, DeFi assets—everything is native and highly customizable. 37. Top-tier composability of assets and smart contracts. 38. Integrated DNS at protocol level with HeroTags (nicknames) instead of long addresses. 39. Asynchronous calls are supported. 40. Cross-shard transfers, execution, reverts, and calls are seamlessly integrated. 41. The best staking system in the space. Secure Proof of Stake (SPoS) is far more efficient than Proof of Work (PoW). 42. Built-in Delegation and Staking Provider system, with over 125K delegators. 43. Complete support for liquid staked assets, fostering decentralization rather than centralization. 44. TransferRoles for ESDT and other advanced operations. 45. Composable tasks on-chain for more sophisticated DeFi workflows. 46. MultiTransfer and asset execution within one transaction. 47. Re-entrancy protection is built-in by design. 48. Storage for ESDT assets goes beyond a linear approach, optimizing performance. 49. No integer overflows thanks to integrated safeMath operations. 50. Integrated crypto opcodes in the VM, enhancing security and performance. 51. Support for BigFloats, BigInts, and BigDecimals, enabling advanced financial calculations on-chain. 52. No sandwich attacks, plus front-running and MEV protection. 53. Relayed Transactions, simplifying user interactions and fees. 54. Smart Accounts featuring data tries and multiple built-in functions. 55. Generalized Paymaster solutions, enabling flexible fee models. 56. Subscriptions for recurring or automated on-chain payments. 57. Web2-like usability with Web3 functionality, bridging mainstream adoption. 58. StakingV4 for improved decentralization. 59. Enhanced MEV protection rolling out to safeguard users. 60. Parallel execution is coming soon, boosting throughput. 61. 1 million TPS is on the roadmap, targeted for demonstration. 62. 600ms block time is also coming soon. 63. Reduced cross-shard processing is planned to improve efficiency. 64. ZK everywhere (PI²): “prove everything” approach is coming. 65. AsyncV3 is in development for more complex cross-contract interactions. 66. Scalability enhancements for Merkle Tries or a new data model are being explored. 67. Linear storage on the VM is forthcoming. 68. A dynamic language interpreter at the VM is also planned. 69. Rumors suggest that MultiversX (EGLD) is building a “Truth Machine” on their L1—an essential, game-changing tool for AI verification and societal impact. 70. The entire team features individuals with PhDs in mathematics and physics, and many are former engineers at Google, IBM, and similar companies. 71. Over 56% of the network’s supply is staked, showcasing strong community involvement. 72. More than 6,772,347 accounts have been created on the network. 73. A total of 476,627,710 transactions have been processed on-chain without any outages or hacks. 74. EGLD has built a massive ecosystem over time. While not as numerous in project count as Solana, its market cap is ~100x smaller, yet it has far superior tokenomics and technology. The projects that do exist, like Hatom Protocol, are top-tier in UX, security, and advanced features. Hatom will soon introduce USH, a truly high-quality, decentralized stablecoin. 75. On competing chains, automated transactions aren’t easily or cheaply executed, whereas on MultiversX, tools like let you do this for free (with near-zero fees). 76. No other chain combines such a strong team and long-term vision where every product meets extreme security and UX standards like MultiversX does. This is why I see it as the “next Apple” in Web3. 77. MultiversX has a new CMO – Adam Bates, a former CMO at the Cardano Foundation. He was behind the success of Cardano’s huge marketing campaign and has a very good relationship with Charles Hoskinson. Thanks to him, Beniamin Mincu (the founder of MultiversX) was likely introduced, and now they will probably discuss how both blockchains can help each other, as well as any other potential collaborations we don’t yet know about. This is also extremely bullish. #EGLD is undeniably the most Scalable, Advanced, Secure, and User-friendly L1 supercomputer ever created. It’s built to SHAPE THE FUTURE. 1) 2) 3) 4) 5) 27/6/2024 - EGLDSqueeze - SUMMARY: HERE IS NO 2ND BEST. EGLD IS ONLY ONE BLOCKCHAIN THAT CAN RULE THEM ALL. ✅ UNLIMITED SCALING ✅ SCARCE AS BTC ✅ PROGRAMMABLE AS ETH ✅ NO DOWNTIME AS SOL ✅ UI/UX OF Apple ✅ SHARDING DONE BEFORE NEAR & TON ✅ BEST WALLET xPortal WITH GUARDIAN Price prediction (NFA|DYOR): My reasoning is that the real market cap as of December 23, 2024...if we take into account the value of other cryptocurrencies such as BTC, SOL, ETH, AVAX, NEAR, TON, Cardano, BNB, XRP, and so forth, plus the existence of meme coins with valuations above 20 billion USD, or even games nobody plays anymore that still have valuations above 800 million shows that EGLD’s current market cap of approximately 942 million USD is incredibly low. From a technological standpoint, user experience, and other relevant aspects, compared to SOL, NEAR, TON, AVAX, and other L1 protocols, EGLD’s market cap should realistically be around 100 billion USD. Therefore, my prediction and investment thesis is a minimum of a 100x increase from its current price (+-SOL marketcap). MultiversX is ready to onboard 1 billion people to the blockchain. From a long-term perspective, it could even reach a market cap of 1 trillion USD, which is roughly half of where BTC is right now. That would be approximately a 1060x gain from the current market cap. 1 EGLD (MultiversX) is for $34 (only 31.4M max supply) think about this. Not financial advice. Again. There is no 2nd best L1. Position yourself where the puck is going, then wait at the goal until the goal gets there Apes together, strong. Ape alone, weak. We Don't Worry. We Just Win. Shape The Future

77 Reasons Why I’ve Invested Over $8,000,000+ in MultiversX (EGLD) and Why EGLD Will Crush It in 2025 (My Investment Thesis). I publicly shared my portfolio on X. EGLD is A) Better than BTC B) Everything that ETH wants to be C) The GameStop of Crypto 1. EGLD is verifiably the most scalable (theoretically unlimited) L1 chain in the world, theoretically capable of over 10 million TPS (thanks to adaptive state sharding). 2. e-Gold is digital gold. It has the best tokenomics among all L1s, similarly scarce to BTC, with a maximum supply of 31.4 million coins. Currently, 27.68 million coins are in circulation. 3. EGLD will be the most decentralized cryptocurrency in the world thanks to sharding and minimal hardware requirements for running nodes. It’s already second only to Ethereum with 3,618 validator nodes. 4. EGLD has extremely low fees, around ~$0.002 per transaction. 5. EGLD is extremely secure. No wallet drains like on ETH/SOL; assets are owned natively (not via a smart contract). There is no MEV risk (front-running bots). 6. EGLD is the only chain in the world with an on-chain Guardian (two-phase verification), making it impossible for a hacker to steal your funds—even if they have your private keys (seed phrase). 7. EGLD is carbon-neutral and eco-friendly, not wasting energy like BTC and other PoW chains. It’s exceptionally efficient, scalable, global, and sustainable. 8. EGLD has the best UX in crypto. Download the xPortal wallet—it’s like discovering Apple in Web3. The interface is simple, flawless, and you barely realize you’re using crypto. Instead of addresses, you use HeroTags. The app features all dApps, everything runs smoothly, and the visuals are beautifully designed. The explorer, web wallet, etc. follow the same high-quality user experience. 9. EGLD supports native assets, unlike Ethereum, for example. 10. EGLD is the first chain to fully implement horizontal (theoretically unlimited) sharding without compromising on decentralization—unlike Solana and others that attempt vertical scaling, leading to multiple network downtimes (11+ times) and huge hardware demands for validators, ultimately harming decentralization. 11. EGLD makes setting up a validator agency extremely easy. Even complete IT beginners can do it. The UX and documentation are superb. I personally set up the “EGLDSqueeze” agency in about 30 minutes. Managing it is straightforward via the web wallet, which feels like managing a Facebook page. This simplifies decentralization enormously. 12. EGLD allows literally anyone (even your grandma) to participate in decentralization, since nodes can run on a Raspberry Pi or a relatively affordable phone. Imagine millions of people worldwide securing the network, validating transactions without even knowing it. This can’t be done with BTC, where setting up profitable mining operations is prohibitively expensive. 13. WASM-Based Virtual Machine: You can write smart contracts in your favorite language, compile them, and run them via the fastest VM in the world. 14. EGLD has been tested at an incredible 263,000 TPS using its sharding mechanism and low hardware requirements. Allegedly, by mid-next year (April), they’ll demonstrate 1,000,000 TPS. (For context: Mastercard handles around 5,000 TPS; BTC handles 5–7 TPS.) 15. EGLD is currently the most advanced L1 in terms of scalability, security, decentralization, UX, eco-friendliness, and tokenomics. It’s the only chain that has genuinely solved the Blockchain Trilemma and is ready to onboard 1 billion people into crypto—users who won’t even realize they’re interacting with crypto. 16. EGLD is perfectly positioned for AI projects—AI agents, AI tools, or a so-called “Truth Machine” that monitors other AIs on-chain, documenting what’s true and comparing different AI outputs (some of which may be censored or biased), ensuring people don’t get confused or scammed in an AI-driven world. 17. The EGLD team is the hardest-working team I’ve ever encountered. I had the honor of meeting many of them personally, and can attest that their pace—even during a bear market—is extraordinary. 18. EGLD’s development team is exceptionally active on GitHub, continually improving their network and actively committing code. 19. EGLD plans to introduce an update reducing block time to 600ms (down from ~6 seconds), which would make the chain essentially unrivaled. 20. EGLD is effectively the only usable L1 in Europe, and the team has direct connections within the EU government—extremely bullish for the project. 21. EGLD provides top-tier on-chain governance not only for the MultiversX (EGLD) protocol but also for DeFi projects (e.g., xExchange, MEX). 22. EGLD plans to expand to the US, likely opening offices in Austin, Texas. This could put them in direct contact with Elon Musk (if it hasn’t happened already), as he’s involved with If he’s done his research, he’d discover there’s simply no better L1 worldwide. 23. EGLD solved fully implemented sharding, perfect tokenomics, and top-tier architecture with just $5M, whereas other chains failed to do so even with $100M+. The second-best sharding network, NEAR, needed $100M, has worse tokenomics, and its sharding isn’t fully implemented yet. Its UX also doesn’t compare. Owning NEAR was like comparing a VW Golf R to a Porsche GT3—EGLD is the Porsche GT3. 24. According to Similarweb, EGLD has significantly high traffic relative to other chains with market caps 100x larger. The market cap vs. web traffic discrepancy is huge, which is a strong indicator of EGLD’s potential. 25. EGLD has the most active and dedicated community relative to its user base, with users who believe in the technology, have full faith in the team, and remain loyal despite price volatility—because they use the chain and know there’s nothing better. 26. Check other chains’ active user counts on X (Twitter) and compare it with the followers of EGLD’s founders and main network accounts, versus those with 30x, 50x, or 100x larger market caps. 27. Visit the MultiversX website to observe the futuristic design and presentation, then compare it to other chains that appear nearly a decade behind in design and branding. 28. EGLD hosts the xDay Global event, showcasing updates, new builders, projects in the ecosystem, and major announcements—similar to Apple’s Keynotes—delivered in a highly professional, goosebump-inducing atmosphere. The next event is in Korea, the second-biggest crypto market after the US. Check out their previous xDay after-movie to see why this is extremely bullish. 29. EGLD is moving forward with plans for the first regulated, audited EU stablecoin under MiCa regulation, made possible by acquiring xMoney, which I view as a “Stripe” for crypto/fiat, offering everything from user solutions to merchant services—potentially the future of payments. 30. Greg Siourouni recently joined EGLD, having been an executive director at SUI Foundation. He’s now co-founder of xMoney Global. xMoney (formerly UTrust, with token UTK) is owned and founded by the MultiversX Labs team. A stablecoin might be introduced soon, which would be massively bullish given xMoney’s roadmap. They recently announced integrations with Binance Pay—both ways. 31. EGLD prioritizes user safety, believing it’s the only feasible approach once the network scales to serve a billion people—many of whom are retail users with little to no security awareness. 32. EGLD offers “Sovereign Chains,” letting you effectively clone their chain without heavy development, set up your own validators, and leverage their unlimited scalability. Any blockchain (ETH, BTC, SOL) struggling with scalability, decentralization, or security could run an ultra-fast, scalable, and secure L2 on EGLD’s Sovereign Chain, meeting top enterprise requirements. No one else has really done this. The Sovereign Chain demo achieved astonishing TPS and has an SDK. 33. No downtime since inception. 34. No shard takeover attacks have occurred. 35. Extremely fast—soon 600ms block time will be in place. 36. ESDTs – The best token standard available: fungible, non-fungible, semi-fungible, DeFi assets—everything is native and highly customizable. 37. Top-tier composability of assets and smart contracts. 38. Integrated DNS at protocol level with HeroTags (nicknames) instead of long addresses. 39. Asynchronous calls are supported. 40. Cross-shard transfers, execution, reverts, and calls are seamlessly integrated. 41. The best staking system in the space. Secure Proof of Stake (SPoS) is far more efficient than Proof of Work (PoW). 42. Built-in Delegation and Staking Provider system, with over 125K delegators. 43. Complete support for liquid staked assets, fostering decentralization rather than centralization. 44. TransferRoles for ESDT and other advanced operations. 45. Composable tasks on-chain for more sophisticated DeFi workflows. 46. MultiTransfer and asset execution within one transaction. 47. Re-entrancy protection is built-in by design. 48. Storage for ESDT assets goes beyond a linear approach, optimizing performance. 49. No integer overflows thanks to integrated safeMath operations. 50. Integrated crypto opcodes in the VM, enhancing security and performance. 51. Support for BigFloats, BigInts, and BigDecimals, enabling advanced financial calculations on-chain. 52. No sandwich attacks, plus front-running and MEV protection. 53. Relayed Transactions, simplifying user interactions and fees. 54. Smart Accounts featuring data tries and multiple built-in functions. 55. Generalized Paymaster solutions, enabling flexible fee models. 56. Subscriptions for recurring or automated on-chain payments. 57. Web2-like usability with Web3 functionality, bridging mainstream adoption. 58. StakingV4 for improved decentralization. 59. Enhanced MEV protection rolling out to safeguard users. 60. Parallel execution is coming soon, boosting throughput. 61. 1 million TPS is on the roadmap, targeted for demonstration. 62. 600ms block time is also coming soon. 63. Reduced cross-shard processing is planned to improve efficiency. 64. ZK everywhere (PI²): “prove everything” approach is coming. 65. AsyncV3 is in development for more complex cross-contract interactions. 66. Scalability enhancements for Merkle Tries or a new data model are being explored. 67. Linear storage on the VM is forthcoming. 68. A dynamic language interpreter at the VM is also planned. 69. Rumors suggest that MultiversX (EGLD) is building a “Truth Machine” on their L1—an essential, game-changing tool for AI verification and societal impact. 70. The entire team features individuals with PhDs in mathematics and physics, and many are former engineers at Google, IBM, and similar companies. 71. Over 56% of the network’s supply is staked, showcasing strong community involvement. 72. More than 6,772,347 accounts have been created on the network. 73. A total of 476,627,710 transactions have been processed on-chain without any outages or hacks. 74. EGLD has built a massive ecosystem over time. While not as numerous in project count as Solana, its market cap is ~100x smaller, yet it has far superior tokenomics and technology. The projects that do exist, like Hatom Protocol, are top-tier in UX, security, and advanced features. Hatom will soon introduce USH, a truly high-quality, decentralized stablecoin. 75. On competing chains, automated transactions aren’t easily or cheaply executed, whereas on MultiversX, tools like let you do this for free (with near-zero fees). 76. No other chain combines such a strong team and long-term vision where every product meets extreme security and UX standards like MultiversX does. This is why I see it as the “next Apple” in Web3. 77. MultiversX has a new CMO – Adam Bates, a former CMO at the Cardano Foundation. He was behind the success of Cardano’s huge marketing campaign and has a very good relationship with Charles Hoskinson. Thanks to him, Beniamin Mincu (the founder of MultiversX) was likely introduced, and now they will probably discuss how both blockchains can help each other, as well as any other potential collaborations we don’t yet know about. This is also extremely bullish. #EGLD is undeniably the most Scalable, Advanced, Secure, and User-friendly L1 supercomputer ever created. It’s built to SHAPE THE FUTURE. 1) 2) 3) 4) 5) 27/6/2024 - EGLDSqueeze - SUMMARY: HERE IS NO 2ND BEST. EGLD IS ONLY ONE BLOCKCHAIN THAT CAN RULE THEM ALL. ✅ UNLIMITED SCALING ✅ SCARCE AS BTC ✅ PROGRAMMABLE AS ETH ✅ NO DOWNTIME AS SOL ✅ UI/UX OF Apple ✅ SHARDING DONE BEFORE NEAR & TON ✅ BEST WALLET xPortal WITH GUARDIAN Price prediction (NFA|DYOR): My reasoning is that the real market cap as of December 23, 2024...if we take into account the value of other cryptocurrencies such as BTC, SOL, ETH, AVAX, NEAR, TON, Cardano, BNB, XRP, and so forth, plus the existence of meme coins with valuations above 20 billion USD, or even games nobody plays anymore that still have valuations above 800 million shows that EGLD’s current market cap of approximately 942 million USD is incredibly low. From a technological standpoint, user experience, and other relevant aspects, compared to SOL, NEAR, TON, AVAX, and other L1 protocols, EGLD’s market cap should realistically be around 100 billion USD. Therefore, my prediction and investment thesis is a minimum of a 100x increase from its current price (+-SOL marketcap). MultiversX is ready to onboard 1 billion people to the blockchain. From a long-term perspective, it could even reach a market cap of 1 trillion USD, which is roughly half of where BTC is right now. That would be approximately a 1060x gain from the current market cap. 1 EGLD (MultiversX) is for $34 (only 31.4M max supply) think about this. Not financial advice. Again. There is no 2nd best L1. Position yourself where the puck is going, then wait at the goal until the goal gets there Apes together, strong. Ape alone, weak. We Don't Worry. We Just Win. Shape The Future

Daniel Veroc

50,473 görüntüleme • 1 yıl önce

I Quit Every "goodbye" video, every kombucha-vibed meltdown, every other moment you thought I, the actor comedian, finally snapped — that was me doing my literal job. I made ten grand off fake breakdowns while you sat in the comments like it was a funeral. That's exactly how broken the YouTube algorithm is. It doesn't reward the best content. It rewards whatever gets your rotting brain to drool for the longest amount of time. This is the uncensored, unedited breakdown of how content really works on this platform, why quality will never beat pure stupidity in the algorithm's eyes, and why I genuinely believe the internet — and the people running it — are shaping wars, politics, and the complete erosion of your ability to think for yourself. Also: age gaps, hypocrisy, karma, why many people who look gross aren't just unlucky, what's happening in my ongoing legal case (which you'll ignore unless it's coming from someone who has zero first hand actual knowledge), and a sincere go-f**k-yourself. Funded by K.C. --- thank you KC for being a normal human among a mass of brainless zombies. #Onision #OnisionSpeaks #YouTubeAlgorithm #YouTubeRant #InternetCulture #ContentCreator #YoutubeHonesty #FakeYoutubers #OnisionPodcast #YouTubeTruth #ViralRant #SocialMediaCritique #OnisionReturns #UnfilteredTruth #YoutubeExposed #CancelCulture #InternetHypocrisy #JoeRogan #AlexJones #BlaireWhite #OnisionLawsuit #RealTalk #Unedited #UncensoredPodcast 0:00 — Goodbye. Farewell. 0:04 — Why clickbait titles are the only reason you click anything anymore 0:26 — Engagement rant. 0:54 — Quality vs. quantity — why that advice is completely wrong on YouTube 1:22 — Paranormal Activity, lemmings, and the algorithm's true incentive 1:59 — The reveal: the meltdown series was 100% intentional performance art — and made $10,000 2:32 — Introducing the format; thank you to K.C. for the $70 podcast fund 3:10 — The kombucha pour, fake crying about "poopy," pretending to pee himself — all comedy, all profitable 3:52 — Every fake influencer is just pandering to their audience's lowest instincts 4:20 — Algorithm as political manipulation; social media's role in misinformation 4:45 — Red hats, conspiracy theories, and degrading behavior online 5:12 — Lawsuit update: documentation, confessions, premeditation — bringing it to a jury 5:36 — YouTube algorithm prioritizes rumor over reality; employees called out directly 6:08 — People who have no involvement in the case rank higher than the person actually in it 6:32 — Middle East coverage: performative solidarity from TikTokers overseas 7:18 — Confirming the "last video" thing is a bit; explains the entire strategy plainly 7:56 — Formal introduction of the video's agenda/talking points 8:43 — Shane Dawson brought up; transition to child exploitation in media 9:05 — Scary Movie trailer with the prosthetic testicle gag involving a child — where's the line? 10:31 — Horror films using child actors; Exorcist discussion 11:13 — Should YouTubers be legally prohibited from putting their kids in videos? 12:07 — Capitalism as the root cause of child exploitation online 13:10 — Proposal: ban minors from the internet; require ID to sign up 13:55 — Society's sexual hypocrisy and performative morality online 15:11 — Leonardo DiCaprio age gap discourse; women's autonomy in choosing partners 16:25 — Breeding crisis and social shaming 17:01 — Robert De Niro, public figures, and age gaps — the double standard 17:26 — Everyone says the quiet part out loud when no one's watching 18:09 — "We are the manifestations of manure" — philosophical pivot 18:37 — Defending himself against "cult leader" accusations; 26-year-old ex-girlfriends 19:07 — 14-year marriage/relationship referenced as credibility counter 19:52 — Karma theory: bad people are ugly, fat, and sick — their bodies give them away 21:27 — "I'm 40 years old. Go Google the average 40-year-old." OnlyFans mention 22:06 — Alex Jones and Joe Rogan as examples of physical karma manifesting 23:01 — Blaire White and reaction content creators called out for willful dishonesty 24:04 — Charlie Kirk's old clips; the algorithm rewards pandering, not truth 25:23 — The private racism of "moral" people; Uncle Charles going to church and dropping slurs 27:08 — Marlon Wayans "all white people are racist" joke; Onision's response 27:42 — "Who fought for Black people in the Civil War?" — pushback on racial generalizations 28:42 — Leaf vs. stick in water metaphor: safe boring lives vs. impactful chaotic ones 30:29 — Middle East war commentary; being sent to fight wars you don't understand 31:59 — Jim Carrey clone conspiracy theory debunked 32:50 — Stoicism, death, why clinging to life is irrational 33:35 — What actually matters: love the people you love, extend that to strangers 34:33 — (ran out of space) 🎬 Help get NEW Onision videos made! Fund Onision, UhOhBro & OnisionSpeaks videos here: (alt link:

I Quit Every "goodbye" video, every kombucha-vibed meltdown, every other moment you thought I, the actor comedian, finally snapped — that was me doing my literal job. I made ten grand off fake breakdowns while you sat in the comments like it was a funeral. That's exactly how broken the YouTube algorithm is. It doesn't reward the best content. It rewards whatever gets your rotting brain to drool for the longest amount of time. This is the uncensored, unedited breakdown of how content really works on this platform, why quality will never beat pure stupidity in the algorithm's eyes, and why I genuinely believe the internet — and the people running it — are shaping wars, politics, and the complete erosion of your ability to think for yourself. Also: age gaps, hypocrisy, karma, why many people who look gross aren't just unlucky, what's happening in my ongoing legal case (which you'll ignore unless it's coming from someone who has zero first hand actual knowledge), and a sincere go-f**k-yourself. Funded by K.C. --- thank you KC for being a normal human among a mass of brainless zombies. #Onision #OnisionSpeaks #YouTubeAlgorithm #YouTubeRant #InternetCulture #ContentCreator #YoutubeHonesty #FakeYoutubers #OnisionPodcast #YouTubeTruth #ViralRant #SocialMediaCritique #OnisionReturns #UnfilteredTruth #YoutubeExposed #CancelCulture #InternetHypocrisy #JoeRogan #AlexJones #BlaireWhite #OnisionLawsuit #RealTalk #Unedited #UncensoredPodcast 0:00 — Goodbye. Farewell. 0:04 — Why clickbait titles are the only reason you click anything anymore 0:26 — Engagement rant. 0:54 — Quality vs. quantity — why that advice is completely wrong on YouTube 1:22 — Paranormal Activity, lemmings, and the algorithm's true incentive 1:59 — The reveal: the meltdown series was 100% intentional performance art — and made $10,000 2:32 — Introducing the format; thank you to K.C. for the $70 podcast fund 3:10 — The kombucha pour, fake crying about "poopy," pretending to pee himself — all comedy, all profitable 3:52 — Every fake influencer is just pandering to their audience's lowest instincts 4:20 — Algorithm as political manipulation; social media's role in misinformation 4:45 — Red hats, conspiracy theories, and degrading behavior online 5:12 — Lawsuit update: documentation, confessions, premeditation — bringing it to a jury 5:36 — YouTube algorithm prioritizes rumor over reality; employees called out directly 6:08 — People who have no involvement in the case rank higher than the person actually in it 6:32 — Middle East coverage: performative solidarity from TikTokers overseas 7:18 — Confirming the "last video" thing is a bit; explains the entire strategy plainly 7:56 — Formal introduction of the video's agenda/talking points 8:43 — Shane Dawson brought up; transition to child exploitation in media 9:05 — Scary Movie trailer with the prosthetic testicle gag involving a child — where's the line? 10:31 — Horror films using child actors; Exorcist discussion 11:13 — Should YouTubers be legally prohibited from putting their kids in videos? 12:07 — Capitalism as the root cause of child exploitation online 13:10 — Proposal: ban minors from the internet; require ID to sign up 13:55 — Society's sexual hypocrisy and performative morality online 15:11 — Leonardo DiCaprio age gap discourse; women's autonomy in choosing partners 16:25 — Breeding crisis and social shaming 17:01 — Robert De Niro, public figures, and age gaps — the double standard 17:26 — Everyone says the quiet part out loud when no one's watching 18:09 — "We are the manifestations of manure" — philosophical pivot 18:37 — Defending himself against "cult leader" accusations; 26-year-old ex-girlfriends 19:07 — 14-year marriage/relationship referenced as credibility counter 19:52 — Karma theory: bad people are ugly, fat, and sick — their bodies give them away 21:27 — "I'm 40 years old. Go Google the average 40-year-old." OnlyFans mention 22:06 — Alex Jones and Joe Rogan as examples of physical karma manifesting 23:01 — Blaire White and reaction content creators called out for willful dishonesty 24:04 — Charlie Kirk's old clips; the algorithm rewards pandering, not truth 25:23 — The private racism of "moral" people; Uncle Charles going to church and dropping slurs 27:08 — Marlon Wayans "all white people are racist" joke; Onision's response 27:42 — "Who fought for Black people in the Civil War?" — pushback on racial generalizations 28:42 — Leaf vs. stick in water metaphor: safe boring lives vs. impactful chaotic ones 30:29 — Middle East war commentary; being sent to fight wars you don't understand 31:59 — Jim Carrey clone conspiracy theory debunked 32:50 — Stoicism, death, why clinging to life is irrational 33:35 — What actually matters: love the people you love, extend that to strangers 34:33 — (ran out of space) 🎬 Help get NEW Onision videos made! Fund Onision, UhOhBro & OnisionSpeaks videos here: (alt link:

Onision

10,171 görüntüleme • 6 ay önce

Drew Bredvick compressed Vercel's sales team from 20 people to 2. And I think it's one of the best case studies in the history of AI and GTM. the problem: Sales development doesn't compound. Headcount does. Every additional SDR brings another salary, another ramp period, another personal definition of what "qualified" actually means. the solution: Drew built an AI agent that evaluates every inbound lead: researching the company, scoring intent, and routing only the credible opportunities to the sales team. Everything else is handled automatically. the result: Now two people, focused exclusively on edge cases and high-touch accounts handle the entire sales operation at the $10B company. Andddd the previous team wasn't let go. They were moved into "higher-value work" within the company. here's the play in six steps: 1. Shadow your best performer 2. Pull 90 days of historical data 3. Iterate until 95% agreement 4. Run in parallel with people 5. Get co-sign 6. Hand your top dogs the controller 1. shadow your best performer Sit next to your best SDR for a full day and document every decision: when they qualify, when they disqualify, every signal they check, every button they click. Drew found the real qualification criteria was not in process docs. Reps were checking LinkedIn profiles, scanning websites for tech stack indicators, and pattern-matching on how leads found Vercel. None of it was documented. 2. pull 90 days of historical data Export 90 days of contact form submissions with outcomes attached. Did they close? Ghost? Become a $500K whale? 3. iterate until 95% agreement Open any code editor with AI built in. Drop your CSV into a new project and start a conversation: "Look at this lead data. I'm going to give you a prompt to evaluate leads. Tell me if each one is qualified or not." Run this prompt against a batch. Compare the agent's calls to what actually happened—not what humans decided, but whether the lead converted. Find disagreements. Fix the prompt. Repeat. You're aiming for 95%+ agreement with historical outcomes. starter prompt: You are a lead qualification agent. For each lead, analyze the following signals and provide your reasoning BEFORE your decision: Company signals: website quality, tech stack, company stage, employee count Intent signals: how they found us, what they asked for, urgency indicators Fit signals: ICP match, use case alignment, budget indicators Structure your response as: REASONING: [Your analysis of each signal category] CONFIDENCE: [High/Medium/Low] DECISION: [Qualified/Not Qualified] NEXT ACTION: [Route to sales / Auto-respond / Request more info] Be conservative. You naturally want to qualify leads to make humans happy. Resist that urge. A false positive wastes sales time. A false negative just means we follow up later. 4. run in parallel with people Once the prompt works with historical data, prove it works live with your sales team: Here's what to track: - agreement rate: Agent vs. human decisions. - accuracy rate: Agent vs. actual outcomes. - processing time: Lead received → decision made. - confidence distribution: How often the agent is certain vs. uncertain - error log: When it got it wrong, and why. 5. get co-sign Drew started chatting with individual contributors. He got them to validate that the agent was making good calls. Then he partnered closely with the leader of the SDR team. He then let leaders of the sales team tweak qualification criteria, the leaders of the marketing team adjust scoring weights, and let leaders of the ops team define routing rules. b/c when leadership builds alongside you, they stop being gatekeepers and start being advocates. 6. hand your top dog the controller Flip the switch!! The agent processes every lead, makes a qualification decision, and even drafts the response. But a person reviews before anything goes out and has more time to check the genuinely f******* tough and weird cases. The system recommends; humans decide. The same loop should work In other parts of the org too: customer support triage, contract review, expense approvals, and even content moderation. Full playbook below w/ prompts and Drew's handholding. 👇

Drew Bredvick compressed Vercel's sales team from 20 people to 2. And I think it's one of the best case studies in the history of AI and GTM. the problem: Sales development doesn't compound. Headcount does. Every additional SDR brings another salary, another ramp period, another personal definition of what "qualified" actually means. the solution: Drew built an AI agent that evaluates every inbound lead: researching the company, scoring intent, and routing only the credible opportunities to the sales team. Everything else is handled automatically. the result: Now two people, focused exclusively on edge cases and high-touch accounts handle the entire sales operation at the $10B company. Andddd the previous team wasn't let go. They were moved into "higher-value work" within the company. here's the play in six steps: 1. Shadow your best performer 2. Pull 90 days of historical data 3. Iterate until 95% agreement 4. Run in parallel with people 5. Get co-sign 6. Hand your top dogs the controller 1. shadow your best performer Sit next to your best SDR for a full day and document every decision: when they qualify, when they disqualify, every signal they check, every button they click. Drew found the real qualification criteria was not in process docs. Reps were checking LinkedIn profiles, scanning websites for tech stack indicators, and pattern-matching on how leads found Vercel. None of it was documented. 2. pull 90 days of historical data Export 90 days of contact form submissions with outcomes attached. Did they close? Ghost? Become a $500K whale? 3. iterate until 95% agreement Open any code editor with AI built in. Drop your CSV into a new project and start a conversation: "Look at this lead data. I'm going to give you a prompt to evaluate leads. Tell me if each one is qualified or not." Run this prompt against a batch. Compare the agent's calls to what actually happened—not what humans decided, but whether the lead converted. Find disagreements. Fix the prompt. Repeat. You're aiming for 95%+ agreement with historical outcomes. starter prompt: You are a lead qualification agent. For each lead, analyze the following signals and provide your reasoning BEFORE your decision: Company signals: website quality, tech stack, company stage, employee count Intent signals: how they found us, what they asked for, urgency indicators Fit signals: ICP match, use case alignment, budget indicators Structure your response as: REASONING: [Your analysis of each signal category] CONFIDENCE: [High/Medium/Low] DECISION: [Qualified/Not Qualified] NEXT ACTION: [Route to sales / Auto-respond / Request more info] Be conservative. You naturally want to qualify leads to make humans happy. Resist that urge. A false positive wastes sales time. A false negative just means we follow up later. 4. run in parallel with people Once the prompt works with historical data, prove it works live with your sales team: Here's what to track: - agreement rate: Agent vs. human decisions. - accuracy rate: Agent vs. actual outcomes. - processing time: Lead received → decision made. - confidence distribution: How often the agent is certain vs. uncertain - error log: When it got it wrong, and why. 5. get co-sign Drew started chatting with individual contributors. He got them to validate that the agent was making good calls. Then he partnered closely with the leader of the SDR team. He then let leaders of the sales team tweak qualification criteria, the leaders of the marketing team adjust scoring weights, and let leaders of the ops team define routing rules. b/c when leadership builds alongside you, they stop being gatekeepers and start being advocates. 6. hand your top dog the controller Flip the switch!! The agent processes every lead, makes a qualification decision, and even drafts the response. But a person reviews before anything goes out and has more time to check the genuinely f******* tough and weird cases. The system recommends; humans decide. The same loop should work In other parts of the org too: customer support triage, contract review, expense approvals, and even content moderation. Full playbook below w/ prompts and Drew's handholding. 👇

Alex Lieberman

81,801 görüntüleme • 7 ay önce

MrBeast: "If you knew what I knew, you could get 10 million subscribers in six months" "Your videos suck. You think your videos are good, but they suck. They just do. And the sooner you learn how to make good, great videos that people actually want to watch, the sooner you'll get views." MrBeast shares his early reality: "When I was 14, I thought my videos were the best in the world. They weren't, they were terrible. To be successful, you kind of have to have a little bit of that ego where you think your content's great. But also, if you have sub-1,000 subscribers, there's a good probability your videos just suck. They just do." He explains what to do about it: "You need to make hundreds of videos. Improve something every time. And just get to the point where they don't suck. When you make good content, you'll blow up. It's not the algorithm. It's not anything. Most people who are in my position just made terrible videos, and that's okay. Because you've got to make a bunch of videos and improve over time to be great." MrBeast uses an analogy: "You don't just pick up a baseball and become an MLB-level athlete within a year. It takes many, many, many years. YouTube's kind of the same way." On analysis paralysis: "A lot of people get analysis paralysis. They'll sit there and plan their first video for three months. If you have zero videos on your channel, your first video is not gonna get views. Period. Your first 10 are not gonna get views. I can very confidently say that. So stop sitting there and thinking for months and months on end. Just get to work and start uploading." He gives the formula: "All you need to do is make 100 videos and improve something every time. Do that, and then on your 101st video, we'll start talking. Maybe you can get some views. But your first 100 are gonna suck." How to improve something each time: "The second video: put more effort into the script. The third one: learn a new editing trick. The fourth one: figure out a way to have better inflections in your voice. The fifth one: study a new thumbnail tip and implement it. The sixth one: figure out a new title. There's infinite ways. The coloring, the frame rate, the editing, the filming, the production, the jokes, the pacing, every little thing can be improved. There's literally no such thing as a perfect video." On the algorithm: "What YouTube wants is for people to click on a video and watch it. That's what it is at its core. By studying the algorithm, you'll learn that you're more studying human psychology. What do humans want to watch?" MrBeast shares a simple reframe: "Anytime you say the word 'algorithm,' just replace it with 'audience' and it works perfectly. 'The algorithm didn't like that video?' No, the audience didn't like that video. Literally, that's it. If people are clicking and watching, it gets promoted more. The algorithm just reflects what the people want." On titles: "Short, simple, and just so freaking interesting that you have to click. If someone reads it, are they like, do they have to watch it? Is it just so intrinsically interesting that it's gonna haunt them if they don't click?" He adds nuance: "Keep it below 50 characters. Above 50 characters, on certain devices it goes dot, dot, dot, and that's the worst thing because then people don't even know what they're clicking on." MrBeast shares the extremity principle: "The more extreme the opinion, typically the higher the click-through rate. 'Fiji water sucks', that'd do fine. But 'Fiji water is the worst water I've ever drank in my life', way more extreme, would do way better. But then you have to deliver. The more extreme you are, the more extreme you have to be in the video." On the first 5 seconds: "Before you film a video, what is the thumbnail? What is the title? Then what's the first 5 seconds? Then what's the first 30 seconds?" He explains why autoplay changed everything: "On YouTube now, videos automatically play. So many people don't even see the thumbnail because it autoplays so quickly. The thumbnail is irrelevant for them. I have to visually convince you to click on the video in the first 5 seconds. Before, the hook was important because you had to convince people to watch. Now you have to convince people to click and watch at the same time, with the first 5 seconds." On matching expectations: "Your title and thumbnail set expectations. At the very beginning of the video, to minimize drop-off, you want to assure them that those expectations are being met. If you click on a video called 'Tether is a scam' and at the very beginning, he starts talking about literally anything else, you're like, 'Oh, this is BS. This isn't what I clicked on.' But if at the very start you go, 'Tether is a scam and I'm gonna teach you why,' then it's like, okay, you match the expectations. Then you want to exceed them." He emphasizes the importance: "The thing people undervalue the most is literally the first 10 seconds of the video. That 15% difference in viewership between losing 35% of viewers in the first 30 seconds versus losing 20%, that really does make the difference between 2 million views and 10 million views. You just had a more strategic intro that hooked them." On removing dull moments: "You basically want to remove every dull moment. Find the 10 most critical people you know, make them watch the video, and just roast it. If I talk to a camera for 10 seconds without a cut, a lot of people will get bored. Having a B-cam and C-cam three seconds in, cutting to a different angle, now it's more interesting even though it's essentially the same thing." On keeping viewers watching: "Give them why they clicked. Tell them why they should watch. Then just stick on topic. That right there isn't even super complex, but I would already put you in the upper echelon of YouTube. A lot of people drag it out. It's like, 'I'm going to eat $100 ice cream, but first...' and then it's them birthday shopping for their mom. That's not why I came here." On quality over quantity: "It's much easier to get 5 million views on one video than 50,000 views on 100 videos. A lot of small YouTubers just post videos that aren't bad but aren't great, and none of them ever pop off, so they never get an audience. It might be better to upload half or a third or even a fifth of the videos, but make the videos you upload so freaking good that the algorithm has to promote it." He warns against the consistency trap: "When you set a consistent schedule and you're constantly having to upload videos that aren't as good as you'd like because you gotta hit 'Oh, this Monday I said I'd upload', that's a dangerous trap. The viewers notice the quality isn't as good and it makes them less likely to watch. I think it hurts your longevity." On the real metric that matters: "A big thing that everyone underestimates, what was your experience with your last video? If people loved the last video of yours that they watched, they're more likely to watch your next one. When people watch your video, you don't want them to go, 'Okay, that was good, but that's enough of you for the day.' What you want is them to go, 'Holy crap, that was crazy! Oh my god, what's that?' and they watch 10 videos. That's how you get high view counts. People watch 10 videos, not one." On thumbnails: "You want it to be simple. When they're scrolling, you want them to instantly understand what you're conveying and feel some type of emotion. Make it so interesting, or spike their curiosity so much, that if they don't click it, they'll wonder before they go to bed what happened?" He gives an example: "If you uploaded 'I rode a skateboard with 1,000 other people on it', and people are falling off the side, it's about to go off a big ramp if you don't click that, you're gonna be so curious. Later in the day, when you're daydreaming, you'll think, 'What happened to those 1,000 people on that skateboard?' That's the mindset you should have when making thumbnails." On knowledge being the only barrier: "It's all knowledge. It really is. I could start a new channel tomorrow without using my face or my voice, without ever promoting it, and in six months have 20 million subscribers. I just could. It's purely knowledge. If you knew what I knew, you could get 10 million subscribers no matter where you are right now within six months." He addresses the skeptics: "90% of the people watching don't agree with that. Everyone has excuses. 'Nah, YouTube just doesn't work like that, Jimmy.' But I mentor a lot of people. I see it all the time. It is possible. It is simply knowledge. The second you accept that it is knowledge and you start your journey of learning figuring out what makes a good video, what does my audience want, how can I elevate and then you take that knowledge and just assume 'I will never understand what the perfect video is' and every single day be devoted to learning and improving as much as possible there you go." On money not being the barrier: "There are tons of viral ideas that don't require money. It does not require money to go viral. One of my most-viewed videos was spending 24 hours in a desert, we just grabbed a tent and some stuff and went to the desert. It got 60-70 million views. People say, 'I could be MrBeast if I had money.' A, I didn't start off with money; I was poor, I had no money. It took me seven years just to buy a camera saving up from YouTube. And B, some of our most-viewed videos literally anyone can do." On why no one will outwork him: "No one's ever gonna do what I do better than me. It's just not humanly possible. I reinvest every penny I make. I work every hour I'm awake. I devote every atom in my brain to solving this. I hire the best people on the planet. I've been doing this for 14 years. And I think in decades, not years. I'm gonna be doing this for another 20-30 years. If I thought someone was doing better than me, I'd just start sleeping less so I could work even more." But he doesn't recommend it: "I don't have a life. I don't have work-life balance. My personality, my soul, my being is making the best videos possible. That is why I exist on this planet. And I don't recommend it. You should have work-life balance. You should not devote your entire life to this one thing. I have a mental breakdown every other week because I push myself so hard. I don't recommend it." The only question that matters: "Subscribers don't matter. Views don't matter. I mean, they do. But everything you want as a creator comes from making the best videos possible and thumbnails. The video part's the hard part. Ask: 'How can I make my videos better?' Do that every single day for years. And then you'll probably get views."

MrBeast: "If you knew what I knew, you could get 10 million subscribers in six months" "Your videos suck. You think your videos are good, but they suck. They just do. And the sooner you learn how to make good, great videos that people actually want to watch, the sooner you'll get views." MrBeast shares his early reality: "When I was 14, I thought my videos were the best in the world. They weren't, they were terrible. To be successful, you kind of have to have a little bit of that ego where you think your content's great. But also, if you have sub-1,000 subscribers, there's a good probability your videos just suck. They just do." He explains what to do about it: "You need to make hundreds of videos. Improve something every time. And just get to the point where they don't suck. When you make good content, you'll blow up. It's not the algorithm. It's not anything. Most people who are in my position just made terrible videos, and that's okay. Because you've got to make a bunch of videos and improve over time to be great." MrBeast uses an analogy: "You don't just pick up a baseball and become an MLB-level athlete within a year. It takes many, many, many years. YouTube's kind of the same way." On analysis paralysis: "A lot of people get analysis paralysis. They'll sit there and plan their first video for three months. If you have zero videos on your channel, your first video is not gonna get views. Period. Your first 10 are not gonna get views. I can very confidently say that. So stop sitting there and thinking for months and months on end. Just get to work and start uploading." He gives the formula: "All you need to do is make 100 videos and improve something every time. Do that, and then on your 101st video, we'll start talking. Maybe you can get some views. But your first 100 are gonna suck." How to improve something each time: "The second video: put more effort into the script. The third one: learn a new editing trick. The fourth one: figure out a way to have better inflections in your voice. The fifth one: study a new thumbnail tip and implement it. The sixth one: figure out a new title. There's infinite ways. The coloring, the frame rate, the editing, the filming, the production, the jokes, the pacing, every little thing can be improved. There's literally no such thing as a perfect video." On the algorithm: "What YouTube wants is for people to click on a video and watch it. That's what it is at its core. By studying the algorithm, you'll learn that you're more studying human psychology. What do humans want to watch?" MrBeast shares a simple reframe: "Anytime you say the word 'algorithm,' just replace it with 'audience' and it works perfectly. 'The algorithm didn't like that video?' No, the audience didn't like that video. Literally, that's it. If people are clicking and watching, it gets promoted more. The algorithm just reflects what the people want." On titles: "Short, simple, and just so freaking interesting that you have to click. If someone reads it, are they like, do they have to watch it? Is it just so intrinsically interesting that it's gonna haunt them if they don't click?" He adds nuance: "Keep it below 50 characters. Above 50 characters, on certain devices it goes dot, dot, dot, and that's the worst thing because then people don't even know what they're clicking on." MrBeast shares the extremity principle: "The more extreme the opinion, typically the higher the click-through rate. 'Fiji water sucks', that'd do fine. But 'Fiji water is the worst water I've ever drank in my life', way more extreme, would do way better. But then you have to deliver. The more extreme you are, the more extreme you have to be in the video." On the first 5 seconds: "Before you film a video, what is the thumbnail? What is the title? Then what's the first 5 seconds? Then what's the first 30 seconds?" He explains why autoplay changed everything: "On YouTube now, videos automatically play. So many people don't even see the thumbnail because it autoplays so quickly. The thumbnail is irrelevant for them. I have to visually convince you to click on the video in the first 5 seconds. Before, the hook was important because you had to convince people to watch. Now you have to convince people to click and watch at the same time, with the first 5 seconds." On matching expectations: "Your title and thumbnail set expectations. At the very beginning of the video, to minimize drop-off, you want to assure them that those expectations are being met. If you click on a video called 'Tether is a scam' and at the very beginning, he starts talking about literally anything else, you're like, 'Oh, this is BS. This isn't what I clicked on.' But if at the very start you go, 'Tether is a scam and I'm gonna teach you why,' then it's like, okay, you match the expectations. Then you want to exceed them." He emphasizes the importance: "The thing people undervalue the most is literally the first 10 seconds of the video. That 15% difference in viewership between losing 35% of viewers in the first 30 seconds versus losing 20%, that really does make the difference between 2 million views and 10 million views. You just had a more strategic intro that hooked them." On removing dull moments: "You basically want to remove every dull moment. Find the 10 most critical people you know, make them watch the video, and just roast it. If I talk to a camera for 10 seconds without a cut, a lot of people will get bored. Having a B-cam and C-cam three seconds in, cutting to a different angle, now it's more interesting even though it's essentially the same thing." On keeping viewers watching: "Give them why they clicked. Tell them why they should watch. Then just stick on topic. That right there isn't even super complex, but I would already put you in the upper echelon of YouTube. A lot of people drag it out. It's like, 'I'm going to eat $100 ice cream, but first...' and then it's them birthday shopping for their mom. That's not why I came here." On quality over quantity: "It's much easier to get 5 million views on one video than 50,000 views on 100 videos. A lot of small YouTubers just post videos that aren't bad but aren't great, and none of them ever pop off, so they never get an audience. It might be better to upload half or a third or even a fifth of the videos, but make the videos you upload so freaking good that the algorithm has to promote it." He warns against the consistency trap: "When you set a consistent schedule and you're constantly having to upload videos that aren't as good as you'd like because you gotta hit 'Oh, this Monday I said I'd upload', that's a dangerous trap. The viewers notice the quality isn't as good and it makes them less likely to watch. I think it hurts your longevity." On the real metric that matters: "A big thing that everyone underestimates, what was your experience with your last video? If people loved the last video of yours that they watched, they're more likely to watch your next one. When people watch your video, you don't want them to go, 'Okay, that was good, but that's enough of you for the day.' What you want is them to go, 'Holy crap, that was crazy! Oh my god, what's that?' and they watch 10 videos. That's how you get high view counts. People watch 10 videos, not one." On thumbnails: "You want it to be simple. When they're scrolling, you want them to instantly understand what you're conveying and feel some type of emotion. Make it so interesting, or spike their curiosity so much, that if they don't click it, they'll wonder before they go to bed what happened?" He gives an example: "If you uploaded 'I rode a skateboard with 1,000 other people on it', and people are falling off the side, it's about to go off a big ramp if you don't click that, you're gonna be so curious. Later in the day, when you're daydreaming, you'll think, 'What happened to those 1,000 people on that skateboard?' That's the mindset you should have when making thumbnails." On knowledge being the only barrier: "It's all knowledge. It really is. I could start a new channel tomorrow without using my face or my voice, without ever promoting it, and in six months have 20 million subscribers. I just could. It's purely knowledge. If you knew what I knew, you could get 10 million subscribers no matter where you are right now within six months." He addresses the skeptics: "90% of the people watching don't agree with that. Everyone has excuses. 'Nah, YouTube just doesn't work like that, Jimmy.' But I mentor a lot of people. I see it all the time. It is possible. It is simply knowledge. The second you accept that it is knowledge and you start your journey of learning figuring out what makes a good video, what does my audience want, how can I elevate and then you take that knowledge and just assume 'I will never understand what the perfect video is' and every single day be devoted to learning and improving as much as possible there you go." On money not being the barrier: "There are tons of viral ideas that don't require money. It does not require money to go viral. One of my most-viewed videos was spending 24 hours in a desert, we just grabbed a tent and some stuff and went to the desert. It got 60-70 million views. People say, 'I could be MrBeast if I had money.' A, I didn't start off with money; I was poor, I had no money. It took me seven years just to buy a camera saving up from YouTube. And B, some of our most-viewed videos literally anyone can do." On why no one will outwork him: "No one's ever gonna do what I do better than me. It's just not humanly possible. I reinvest every penny I make. I work every hour I'm awake. I devote every atom in my brain to solving this. I hire the best people on the planet. I've been doing this for 14 years. And I think in decades, not years. I'm gonna be doing this for another 20-30 years. If I thought someone was doing better than me, I'd just start sleeping less so I could work even more." But he doesn't recommend it: "I don't have a life. I don't have work-life balance. My personality, my soul, my being is making the best videos possible. That is why I exist on this planet. And I don't recommend it. You should have work-life balance. You should not devote your entire life to this one thing. I have a mental breakdown every other week because I push myself so hard. I don't recommend it." The only question that matters: "Subscribers don't matter. Views don't matter. I mean, they do. But everything you want as a creator comes from making the best videos possible and thumbnails. The video part's the hard part. Ask: 'How can I make my videos better?' Do that every single day for years. And then you'll probably get views."

Jaynit

125,413 görüntüleme • 2 ay önce

About a month ago, a clip of mine went viral⁽¹⁾ talking about the Current State of Twitch (3rd thumbnail in this tweet). It resonated w/ people outside my community, so lemme elaborate (as a 10yr+ Twitch Veteran). Current State of Twitch isn't great and haven't been for a while. I've been passionate about Twitch since inception (I joined in April 2011 in the JTV days, a few months before Twitch debuted in July 2011), and been trying to instill positive change but I'm only a cog in the machine compared to where influence can impact — likely via Amazon-appointed Executives to help "oversee things" at decade-old-acquisition-that-has-still-generated-zero-profit Twitch⁽²⁾. ------------------------------------------------ Twitch's Muddled Identity ------------------------------------------------ Describing Twitch 10 years ago was easy: "Youtube, except always live, for gamers". Now, it's more muddled & fluid, at best: "Always live broadcasters who aim to connect with their viewers and foster communities(?)" — that, in itself, isn't problematic; but how it's accomplished, what methods are most effective, and how certain directories accumulate higher viewership is, I think (I may elaborate further on that in a future tweet). The most common reactive bark I've heard following TwitchCon 2025 is "Ban Politics" or "Make it Gaming-Only Again!" — People forget, but Pokemon GO (June 2016) going worldwide-viral was the crack-in-the-dam that lead to IRL as a directory because of the impracticality of continuing Twitch's "games-only" era as the site was increasing in popularity, reach, and cultural significance. IRL was a band-aid solution for the core function of Directories⁽³⁾ (which was to let would-be-browsers make better-informed decisions on what to watch based on their interest). It's too broad and encompassing, which led to an unintended dopamine-producing⁽⁴⁾ psuedo-ChatRoulette where you "never know what you're gonna see" browsing there. Without a better tool to migrate users or aggregate topical content, this problem exacerbated continuously. Just Chatting was supposed to be the solution, as it came with 11-12 other directories⁽⁵⁾ to attemptedly split the IRL monolith, but failed to inspire Social Behavioral Change tremendously. Just Chatting is more popular than ever, discoverability — like in the broad, functional sense — is busted cuz every genre of content stuffed within it and fails to disincentivize streamers from opting-out of the most popular directory. So, how do you stand-out in the overcrowded field where a fuckton of the viewership goes for a Roulette Pull on something entertaining to watch? ... ------------------------------------------------ The Era of Clout-Farming Content (and the fact it works, ugh) ------------------------------------------------ Once IRL directory came in Sept 2016, so did the meta of skirting the ToS (Terms of Service) to maximize views or push the limits of what was tolerated on Twitch. Fundamentally, the social dynamic of receiving a suspension (everyone generally refers to them colloquially as "bans") earns notoriety and "free vacation/marketing", that when coinciding with a comeback event, open the possibility of a net-positive from the boost in viewership or metrics. This isn't as relevant now because the ToS Enforcement has gotten significant buffs to be more transparent and structural in the last half-decade. I can't speak on the nuance of this now, but "Full-Time IRL Streamers" and "Sweaty IRL Affiliates" were unbearable at TwitchCons until TC Policy cracked down on requiring consent by those they bumrush'd into (while live of course), so I assume they're probably equally as intrusive everywhere else ... then Kick came along in 2022 and dominated the headlines for mischief within this realm, for the most part; but that's a different topic altogether. The burden of an authentic collab can be too much friction, slow moving — and honestly, too much work for a streamer to do — compared to the efficacy of blowing up Streamer x Streamer Conflict via self-commentary-reacts for sensationalism and maximizing parasocial viewers' worst tendencies. Effectively, ragebaiting. I'm not advocating to abolish this as a policy. I'm pointing out how this is a very effective way to garner views within the social constructs — and it shouldn't be, nor always was. Something changed at some point. I don't wanna bore you with a timeline of the last decade of controversy on Twitch, so I'll fast-forward to when I definitively see evidence that Clout-Culture is failing upward: In March 2025, the unbanning of Adin Ross⁽⁶⁾ (on Twitch) I saw as a huge moral failure that reeks of desperation for his views/clout/relevance at the direct expense of the integrity of Twitch Culture. Not sure if that was a Clancy-specific decision or what, but it encompasses "neo-Twitch" or a disconnect if there ever was one. ------------------------------------------------ Twitch Culture is diluting at the expense of recouping revenue ------------------------------------------------ A decade ago, Twitch Plays Pokemon broke news across insular-livestreaming gossip and was celebrated as a pinnacle of internet fandom⁽⁷⁾ (Feb 2014). This event was a testament to the value of Twitch because it reinforced the undeniable power of CULTURE present in Twitch Chats. I don't think the event could've worked on a YouTube Livestream (remember YouTube Gaming, introduced in 2015?). There's a certain aura present in Twitch Chat that makes it feel captivating to interact and engage with compared to a YouTube Live Chat Box. One feels like a close relative of bot-spam'd yt comments and the other feels ... real. I think that value is the culture — what could keep Twitch afloat for a long time, even if YouTube were to hypothetically obsolete Twitch in every way for delivering live broadcasted video content. I've noticed that as the meta has shifted towards revenue-maxxx'ing with the proliferation of Spectacle Events, typically marathons, that are engineered to paywall as many things as possible, at the expense of the content. It's not necessarily a bad thing, but the culture has shifted. I also do think most of the marathon content isn't good; they're carried by being experiences with strong FOMO-factors to compel your participation by viewing. I do suspect there's a saturation point where the combination of the waning niches of livestreaming, 4th-wall-breaking, and manufactured spectacles can keep an audience seduced. Like, the content (in aspects) has less substance and I wonder what that means for the welfare of Twitch Culture and its content in another 5 years. Perhaps Twitch could foresee this and become proactive on the manner?... ------------------------------------------------ Twitch's Conduct & Repetitive Incompetence ------------------------------------------------ Twitch has prioritized generating revenue over addressing the needs of the already-active users for years. Emmett Shear (previous CEO; 2011-2023) probably was a huge reason for sluggish changes overall to the platform as from what I hear but I can't say for certain. Regardless, we got Dan Clancy as CEO and, while there has been lots of positive changes under his reign, it really does feel like "too little, too late" with the pressure looming from Amazon's 2015 acquisition; increased competition and marketshare decline; and declining revenues, active users & monthly streamers"⁽⁸⁾. Here's a brief timeline of features implemented that I feel helped build the culture. Before COVID, I believe the biggest obstacle was helping migrate streamers from being part-time to capable full-time content creators. So, at the time, revenue-generating products were revolutionary to help there, including me at that time: ✅ 2016 — Bits/Cheers & Prime Subs (!!!) ✅ 2017 — Gift Subs (to a specific user) ✅ 2018 — Gift Subs (to randos in Community); Super Subs & Ultra Subs ✅ 2018 — Twitch Mobile App v2 (original mobile app was a constantly broken mess) ✅ 2018 — Twitch Prime no longer adblocks (I will agree how they did it was stupid, but ultimately, it was a necessary; I can defend this in the replies if needed) Comparatively, here's the hostile changes that came at the expense of the Twitch Populous supporting said-change: ❌ 2017 — Communities⁽⁹⁾ (DOA cuz it wasn't streamlined enough and vulnerable to Popularity Bias; I can elaborate in replies if needed) ❌ 2018 — Tags for Channels (DOA cuz anyone can use any tag, diluting the effort of broad categorization or filtering in any capacity) ❌ 2022 — Twitch kills Hosting⁽¹⁰⁾ (also new "craptacular" Offline Page w/ Suggested Channels idea instead) ❌ 2024 — Twitch Mobile App v3⁽¹¹⁾ (Tiktok clone dogshit) ❌ 2024 — Stories (who asked for this?) ❌ 2025 — 100hr Video Storage Limit (going back against Collections & cementing Twitch isn't an evergreen platform; also SHORT NOTICE) ❌2025 — Live Rewind ... paywall'd to Twitch Turbo & Channel Subscribers only (this is free sitewide on yt's livestreams)⁽¹²⁾ ❌ 2025 — Ability to gift 1000 subs at once (already shelved from backlash) Post-COVID, I see a pattern of prioritizing revenue-generating products at the expense of what creators need or ask for. I understand Twitch needs to appease Amazon eventually with profit, but with a half-decade passed, all the buffs I can recall are 2K Resolution Streaming*, Portrait & Dual-Canvas Streaming*, and Stream Together / Shared Chat. *Both of these sortta don't count cuz they're invite-only betas that aren't site-wide and don't apply to non-Partners 🤷‍♂️ While more features arrive that ask for more of your money to partake in the Twitch Experience, I feel like the users (both Streamers & Viewers) continue to be neglected. 10 years ago, I thought YouTube Gaming was DOA; now I anticipate when more people bail on Twitch because the functionality will decay without a compelling reason to stay if the culture dminishes. I'll conclude with the 4th thumbnail included in this tweet — a supercut of a portion from the TwitchCon 2025 Keynote from Dan Clancy, with the youtube dislikes superimposed-over for your enjoyment. Let me know what you think of what I shared today! 🎉🥳 I'm considering also breaking down the specific causes (not symptoms) of why Twitch is where it is, and my 999 IQ Pragmatic Solutions that are tenfold better than what I've seen suggested after this morale fallout following TwitchCon 2025 👀

About a month ago, a clip of mine went viral⁽¹⁾ talking about the Current State of Twitch (3rd thumbnail in this tweet). It resonated w/ people outside my community, so lemme elaborate (as a 10yr+ Twitch Veteran). Current State of Twitch isn't great and haven't been for a while. I've been passionate about Twitch since inception (I joined in April 2011 in the JTV days, a few months before Twitch debuted in July 2011), and been trying to instill positive change but I'm only a cog in the machine compared to where influence can impact — likely via Amazon-appointed Executives to help "oversee things" at decade-old-acquisition-that-has-still-generated-zero-profit Twitch⁽²⁾. ------------------------------------------------ Twitch's Muddled Identity ------------------------------------------------ Describing Twitch 10 years ago was easy: "Youtube, except always live, for gamers". Now, it's more muddled & fluid, at best: "Always live broadcasters who aim to connect with their viewers and foster communities(?)" — that, in itself, isn't problematic; but how it's accomplished, what methods are most effective, and how certain directories accumulate higher viewership is, I think (I may elaborate further on that in a future tweet). The most common reactive bark I've heard following TwitchCon 2025 is "Ban Politics" or "Make it Gaming-Only Again!" — People forget, but Pokemon GO (June 2016) going worldwide-viral was the crack-in-the-dam that lead to IRL as a directory because of the impracticality of continuing Twitch's "games-only" era as the site was increasing in popularity, reach, and cultural significance. IRL was a band-aid solution for the core function of Directories⁽³⁾ (which was to let would-be-browsers make better-informed decisions on what to watch based on their interest). It's too broad and encompassing, which led to an unintended dopamine-producing⁽⁴⁾ psuedo-ChatRoulette where you "never know what you're gonna see" browsing there. Without a better tool to migrate users or aggregate topical content, this problem exacerbated continuously. Just Chatting was supposed to be the solution, as it came with 11-12 other directories⁽⁵⁾ to attemptedly split the IRL monolith, but failed to inspire Social Behavioral Change tremendously. Just Chatting is more popular than ever, discoverability — like in the broad, functional sense — is busted cuz every genre of content stuffed within it and fails to disincentivize streamers from opting-out of the most popular directory. So, how do you stand-out in the overcrowded field where a fuckton of the viewership goes for a Roulette Pull on something entertaining to watch? ... ------------------------------------------------ The Era of Clout-Farming Content (and the fact it works, ugh) ------------------------------------------------ Once IRL directory came in Sept 2016, so did the meta of skirting the ToS (Terms of Service) to maximize views or push the limits of what was tolerated on Twitch. Fundamentally, the social dynamic of receiving a suspension (everyone generally refers to them colloquially as "bans") earns notoriety and "free vacation/marketing", that when coinciding with a comeback event, open the possibility of a net-positive from the boost in viewership or metrics. This isn't as relevant now because the ToS Enforcement has gotten significant buffs to be more transparent and structural in the last half-decade. I can't speak on the nuance of this now, but "Full-Time IRL Streamers" and "Sweaty IRL Affiliates" were unbearable at TwitchCons until TC Policy cracked down on requiring consent by those they bumrush'd into (while live of course), so I assume they're probably equally as intrusive everywhere else ... then Kick came along in 2022 and dominated the headlines for mischief within this realm, for the most part; but that's a different topic altogether. The burden of an authentic collab can be too much friction, slow moving — and honestly, too much work for a streamer to do — compared to the efficacy of blowing up Streamer x Streamer Conflict via self-commentary-reacts for sensationalism and maximizing parasocial viewers' worst tendencies. Effectively, ragebaiting. I'm not advocating to abolish this as a policy. I'm pointing out how this is a very effective way to garner views within the social constructs — and it shouldn't be, nor always was. Something changed at some point. I don't wanna bore you with a timeline of the last decade of controversy on Twitch, so I'll fast-forward to when I definitively see evidence that Clout-Culture is failing upward: In March 2025, the unbanning of Adin Ross⁽⁶⁾ (on Twitch) I saw as a huge moral failure that reeks of desperation for his views/clout/relevance at the direct expense of the integrity of Twitch Culture. Not sure if that was a Clancy-specific decision or what, but it encompasses "neo-Twitch" or a disconnect if there ever was one. ------------------------------------------------ Twitch Culture is diluting at the expense of recouping revenue ------------------------------------------------ A decade ago, Twitch Plays Pokemon broke news across insular-livestreaming gossip and was celebrated as a pinnacle of internet fandom⁽⁷⁾ (Feb 2014). This event was a testament to the value of Twitch because it reinforced the undeniable power of CULTURE present in Twitch Chats. I don't think the event could've worked on a YouTube Livestream (remember YouTube Gaming, introduced in 2015?). There's a certain aura present in Twitch Chat that makes it feel captivating to interact and engage with compared to a YouTube Live Chat Box. One feels like a close relative of bot-spam'd yt comments and the other feels ... real. I think that value is the culture — what could keep Twitch afloat for a long time, even if YouTube were to hypothetically obsolete Twitch in every way for delivering live broadcasted video content. I've noticed that as the meta has shifted towards revenue-maxxx'ing with the proliferation of Spectacle Events, typically marathons, that are engineered to paywall as many things as possible, at the expense of the content. It's not necessarily a bad thing, but the culture has shifted. I also do think most of the marathon content isn't good; they're carried by being experiences with strong FOMO-factors to compel your participation by viewing. I do suspect there's a saturation point where the combination of the waning niches of livestreaming, 4th-wall-breaking, and manufactured spectacles can keep an audience seduced. Like, the content (in aspects) has less substance and I wonder what that means for the welfare of Twitch Culture and its content in another 5 years. Perhaps Twitch could foresee this and become proactive on the manner?... ------------------------------------------------ Twitch's Conduct & Repetitive Incompetence ------------------------------------------------ Twitch has prioritized generating revenue over addressing the needs of the already-active users for years. Emmett Shear (previous CEO; 2011-2023) probably was a huge reason for sluggish changes overall to the platform as from what I hear but I can't say for certain. Regardless, we got Dan Clancy as CEO and, while there has been lots of positive changes under his reign, it really does feel like "too little, too late" with the pressure looming from Amazon's 2015 acquisition; increased competition and marketshare decline; and declining revenues, active users & monthly streamers"⁽⁸⁾. Here's a brief timeline of features implemented that I feel helped build the culture. Before COVID, I believe the biggest obstacle was helping migrate streamers from being part-time to capable full-time content creators. So, at the time, revenue-generating products were revolutionary to help there, including me at that time: ✅ 2016 — Bits/Cheers & Prime Subs (!!!) ✅ 2017 — Gift Subs (to a specific user) ✅ 2018 — Gift Subs (to randos in Community); Super Subs & Ultra Subs ✅ 2018 — Twitch Mobile App v2 (original mobile app was a constantly broken mess) ✅ 2018 — Twitch Prime no longer adblocks (I will agree how they did it was stupid, but ultimately, it was a necessary; I can defend this in the replies if needed) Comparatively, here's the hostile changes that came at the expense of the Twitch Populous supporting said-change: ❌ 2017 — Communities⁽⁹⁾ (DOA cuz it wasn't streamlined enough and vulnerable to Popularity Bias; I can elaborate in replies if needed) ❌ 2018 — Tags for Channels (DOA cuz anyone can use any tag, diluting the effort of broad categorization or filtering in any capacity) ❌ 2022 — Twitch kills Hosting⁽¹⁰⁾ (also new "craptacular" Offline Page w/ Suggested Channels idea instead) ❌ 2024 — Twitch Mobile App v3⁽¹¹⁾ (Tiktok clone dogshit) ❌ 2024 — Stories (who asked for this?) ❌ 2025 — 100hr Video Storage Limit (going back against Collections & cementing Twitch isn't an evergreen platform; also SHORT NOTICE) ❌2025 — Live Rewind ... paywall'd to Twitch Turbo & Channel Subscribers only (this is free sitewide on yt's livestreams)⁽¹²⁾ ❌ 2025 — Ability to gift 1000 subs at once (already shelved from backlash) Post-COVID, I see a pattern of prioritizing revenue-generating products at the expense of what creators need or ask for. I understand Twitch needs to appease Amazon eventually with profit, but with a half-decade passed, all the buffs I can recall are 2K Resolution Streaming, Portrait & Dual-Canvas Streaming, and Stream Together / Shared Chat. *Both of these sortta don't count cuz they're invite-only betas that aren't site-wide and don't apply to non-Partners 🤷‍♂️ While more features arrive that ask for more of your money to partake in the Twitch Experience, I feel like the users (both Streamers & Viewers) continue to be neglected. 10 years ago, I thought YouTube Gaming was DOA; now I anticipate when more people bail on Twitch because the functionality will decay without a compelling reason to stay if the culture dminishes. I'll conclude with the 4th thumbnail included in this tweet — a supercut of a portion from the TwitchCon 2025 Keynote from Dan Clancy, with the youtube dislikes superimposed-over for your enjoyment. Let me know what you think of what I shared today! 🎉🥳 I'm considering also breaking down the specific causes (not symptoms) of why Twitch is where it is, and my 999 IQ Pragmatic Solutions that are tenfold better than what I've seen suggested after this morale fallout following TwitchCon 2025 👀

trihex

17,788 görüntüleme • 9 ay önce

The multi-leader blockchain endgame: competitive information inclusion as a self-reinforcing mechanism for global price discovery - how we got here, and why Aptos is leading the charge Onchain trading is the killer app In the nine years since the launch of programmable transactions on the Ethereum blockchain, onchain trading has revealed itself as the killer use case for blockchains: onchain listings, volume, and total value locked are all growing with no signs of slowing down, due to the censorship-resistant, permissionless, 24/7/365 qualities afforded by decentralized (DeFi) systems. Monolithic parallelism is key In 2020 Solana was first to market with monolithic, parallel execution (as opposed sharded execution which offers parallelism by partitioning global state into separate information silos), establishing a new design paradigm that raised the bar for throughput and latency: put all of the information in one replicated state machine and make it run as fast as possible. This design produces a single, global hub for activity, liquidity, and token launches, a kind of financial data whiteboard in the sky, where anyone can come and trade at any time with everybody else who has plugged into the system. DEXes are becoming more competitive Historically decentralized systems have been juxtaposed with centralized ones since the latter eliminates the overhead associated with distributed systems coordination. And yet despite this overhead, Solana as a decentralized exchange (DEX) is still pulling in billions of trading volume per day, exceeding that of all but the largest centralized crypto exchanges (CEXs), that simply can't compete with the giant DEX in the sky on token listings or fees. After all, CEXs have to pay for server space, salaries, and lawyers, while a DEX outsources everything. The colocation arms race The one place where CEXs have an advantage over DEXs is on end-to-end latency for colocation applications, or in other words: someone sets up a trading bot in the same data center as the exchange, and their trades get to the exchange faster than everyone else's. When there is only one data ingestion point the fastest trader wins, and after the arms race has played out everyone ends up huddling around the trading hub, effectively cutting off the rest of the world from playing the latency trading game. This is the model that traditional securities exchanges like the Nasdaq or the NYSE 🏛 employ, and because they own the server they can effectively charge whatever they want for access to it. The colocation arms race is also why L2s will probably never decentralize: running the sequencer is practically the same as running the NASDAQ, with the same monopoly on transaction fees collected from a nearby cluster of trading bots (I understand from conversations with Logan Jastremski that the Arbitrum arms race has already hit a Nash Equilibrium in Portland, Oregon). Colocation is a trap But once the colocation arms race has played out, trades become less about incorporating new information in the market and more about skimming off the top by spoofing all of the trades coming in from the other bots. High-frequency trading (HFT) bots located in the NYSE New Jersey data center, for example, are constantly placing buys and sell orders that they have no intention of executing, just to spoof the other colocated bots who are playing the same adversarial game. Information inclusion, on the other hand, the synthesis of real-time world events into prices, takes a back seat because anyone who tries to include new information first needs to batch up their order and send it through a series of middlemen before it ultimately ends up on the exchange: you, I, or practically any other individual can not actually "trade on the NASDAQ", no, we have to express our intent to someone like Robinhood, who then sells our order flow to @CitadelSecurities, who then sends it to the exchange, oh and by the way it doesn't actually even "clear" or "settle" once it "executes" because for whatever reason the whole systems splits these things up and prevents them from happening instantaneously even though it's 2024 and we have computers. Onchain trading cuts out middlemen This whole mess is why we have onchain trading, and why it's starting to win: if you want a mainline to the exchange, without setting up a server, and you want to trade on a news event without getting immediately frontrun by an HFT bot that is sniffing out the trades of every other HFT bot who is easing in batched up order flow on their own terms, then you submit your order to a node in the blockchain and the information gets included in the price upon ingestion. Oh, and by the way the trade is actually fully complete: settled, cleared, reconciled, done, whatever you want to call it, because the people who build decentralized finance (DeFi) build it how it should actually work, not in a way that creates a million incumbents and charges exorbitant rents for access to the system. Onchain trading better for price discovery And the beautiful part about this is that even if a distributed system has more latency than a centralized system, DeFi still ends up incorporating more information into the price faster than centralized finance, because with DeFi the information gets included in the system as soon as it is submitted, not after it has been batched up and sent through a series of middlemen. The consensus mechanism of the blockchain disseminates the information around the world in the form of a price update, while the centralized exchange model requires information about the event to first get propagate to the region of the trading hub, then to get submitted to the colocation server. This means that in terms of global price discovery, onchain trading is strictly a better system because the entire consensus model is based around accelerated information propagation. Because price discovery is a global phenomenon, blockchains, which are global, are actually better than the centralized status quo, on a performance basis, not just from an ideological or convenience-based view. And it has to be multi-leader In practice, effective global information synthesis of information has an additional key requirement: multi-leader architecture. That is, in a single-leader blockchain like Solana, where one validator at a time has a monopoly on ordering transactions into blocks, for their duration as a leader they effectively function as a colocation server. This means that if the current leader is in New York, someone in Singapore who wants to trade on local news as soon as it breaks will still need to get their order all the way around the world to the leader, who is effectively serving as the chain's data ingestion point, before the order can start propagating through the network. But this is issue solved by the introduction of multiple distributed leaders, because then anyone with access to new information can submit their order to the leader closest to them, yielding faster information inclusion in the form of price updates. Multi-leader is also required for fair markets A multi-leader architecture is also required for fair markets, because in a single-leader system the leader has the power to censor transactions, reorder them to their advantage, or even replace transactions with copycats that extract maximum value by replacing the sender's address with their own. For example if someone wants to capture an arbitrage opportunity between two onchain DEXes, they'll need to submit a transaction to the leader and trust that the leader won't simply copy the transaction and submit it themselves. But when there are two or more leaders, users whose transactions are censored by one leader will simply work with a different leader the next time around, eventually cutting off transaction fee flow to the extractive leader. Beyond just strict inclusion, in a multi-leader architecture validators are also forced to compete with each other on latency, because the leader who is fastest at disseminating users' transactions across the network will over time gobble up the largest share of the order flow. Transparent priority fees are a must, or a private mempool will emerge But in order to make this work, a multi-leader architecture must also offer users the ability to pay priority fees AKA "tips" or "bribes" to move their transaction to the front of the line: if there is a $5 arbitrage opportunity onchain, users need to have assurance that they if they pay a 4.99 priority fee to take that arb, they will get priority over a different user who is only willing to tip 4.98. If the native blockchain system does not offer this fair market priority fee mechanism, then it is only a matter of time before one spontaneously emerges in the form of a private mempool like Jito, which can create centralization pressures and undermine the integrity of the system as a whole. Competitive payment for order flow is the stable solution With the right architecture in place, the end result is a competitive environment where endpoints running maximum extractable value (MEV) bots compete with one to offer users the best price for their order flow. In other words, if a user wants to submit an order that can get sandwich attacked for as much as $2 of MEV, then the order should ultimately go to the endpoint bot that is willing to pay the user as much as $1.99 for the right to process their transaction. The price that the provider is willing to pay is ultimately a function of how much in priority fees they might need to pay to the current leader (0 they are the current one), but notably at each stage there is a competitive market for order flow, whether in the form of retail trader's orders, or priority fees among bots that might be forwarding orders to one of the leaders. AptosLabs is already building all this With a public mempool and transaction priority fees, Aptos additionally includes a pipelined architecture that already includes concurrent batching of transactions into blocks, with a single consensus leader who propagates the batched blocks out to the network. And the team is already researching running multiple instances of the consensus algorithm in parallel, yielding multiple consensus leaders who can compete with each other on latency and inclusion - just ask pranav | Shelby, Alexander Spiegelman, and Zekun Li. This means that block times can shrink as the number of consensus leaders grows, with each leader having its own geographical radius of inclusion beyond which it makes more sense to submit to a different leader. The starting point? Something like 60 ms blocks and 3 consensus leaders, partitioning the global information space into competitive and constantly-rotating regions of information inclusion. Messaging is important With concurrent pipelined transaction batching, a public mempool, priority fees, and a clear path to a multi-leader architecture, Aptos leads the industry in onchain trading infrastructure that can truly supplant the centralized colocation paradigm that has heretofore dominated global finance - by offering a truly superior product. And I am hopeful that this deep dive is the first step in communicating not how or that superior product is getting built, but what it means from a bigger picture perspective. If blockchains have found product market fit in anything, it is in trading, and the trading game can only be won by building the biggest, baddest, most high performance system that has as its north star a single, concrete goal: constantly reducing, ever lower toward zero, time time it takes to incorporate information from anywhere in the world into the global price discovery computer. Whoever does this, even 1 ms faster than the competitor, wins the price discovery game, as other blockchains are left in the dust, their DEXes arbed away to zero against the fastest chain on the block. And sure, the blockchain that can rise to this challenge can also handle useful things like payments, NFTs, or other solutions that benefit from permissionlessness and low gas costs, but I want to impress that at the core of this pursuit must be the urge to drive down information inclusion latency to the absolute minimum afforded by the laws of physics through a competitive, market-driven environment. I call on avery.apt 🇺🇸 , CTO of Aptos Labs, to lean in on this messaging, to make it clear that Aptos is here for this singular mission, to build the most performant price discovery engine in history, as a rallying call for alignment in development efforts across the ecosystem and broader industry. Where does this go? As the latencies drop, the spreads tighten, and the information inclusion increases with every incremental increase in network bandwidth, we can expect a new class of competing techno-financial hubs that aggregate around the world's largest information sources: New York, Washington DC, London, Tokyo, etc., commanding stake distribution commensurate with the density of information flow in these respective locales. With the right incentives in place, competing concurrent leaders will invest ever more in infrastructure to get their packets out to the network faster than the rest, yielding clusters of fiber optic cable around the world's financial hubs, neurons in the global financial brain connecting not just HFT firms to servers in their city, but connecting every city with every other city, to move pricing information across oceans and continents. And retail traders, who have been left out of the colocation game, will only benefit: this entire system gets faster, more inclusive, with tighter spreads and lower fees, and it is such an amazing opportunity to watch all of this unfold in real time. The future of blockchains is the future of trading, is the future of competitive information inclusion in real-time, is the future of truly unified global markets, because at the the core of this industry is a simple idea: connect the computers, and see where the incentives lead. They lead to this, and Aptos is leading the charge, because its tech is purpose-built for this exact purpose. So tell the world about it.

The multi-leader blockchain endgame: competitive information inclusion as a self-reinforcing mechanism for global price discovery - how we got here, and why Aptos is leading the charge Onchain trading is the killer app In the nine years since the launch of programmable transactions on the Ethereum blockchain, onchain trading has revealed itself as the killer use case for blockchains: onchain listings, volume, and total value locked are all growing with no signs of slowing down, due to the censorship-resistant, permissionless, 24/7/365 qualities afforded by decentralized (DeFi) systems. Monolithic parallelism is key In 2020 Solana was first to market with monolithic, parallel execution (as opposed sharded execution which offers parallelism by partitioning global state into separate information silos), establishing a new design paradigm that raised the bar for throughput and latency: put all of the information in one replicated state machine and make it run as fast as possible. This design produces a single, global hub for activity, liquidity, and token launches, a kind of financial data whiteboard in the sky, where anyone can come and trade at any time with everybody else who has plugged into the system. DEXes are becoming more competitive Historically decentralized systems have been juxtaposed with centralized ones since the latter eliminates the overhead associated with distributed systems coordination. And yet despite this overhead, Solana as a decentralized exchange (DEX) is still pulling in billions of trading volume per day, exceeding that of all but the largest centralized crypto exchanges (CEXs), that simply can't compete with the giant DEX in the sky on token listings or fees. After all, CEXs have to pay for server space, salaries, and lawyers, while a DEX outsources everything. The colocation arms race The one place where CEXs have an advantage over DEXs is on end-to-end latency for colocation applications, or in other words: someone sets up a trading bot in the same data center as the exchange, and their trades get to the exchange faster than everyone else's. When there is only one data ingestion point the fastest trader wins, and after the arms race has played out everyone ends up huddling around the trading hub, effectively cutting off the rest of the world from playing the latency trading game. This is the model that traditional securities exchanges like the Nasdaq or the NYSE 🏛 employ, and because they own the server they can effectively charge whatever they want for access to it. The colocation arms race is also why L2s will probably never decentralize: running the sequencer is practically the same as running the NASDAQ, with the same monopoly on transaction fees collected from a nearby cluster of trading bots (I understand from conversations with Logan Jastremski that the Arbitrum arms race has already hit a Nash Equilibrium in Portland, Oregon). Colocation is a trap But once the colocation arms race has played out, trades become less about incorporating new information in the market and more about skimming off the top by spoofing all of the trades coming in from the other bots. High-frequency trading (HFT) bots located in the NYSE New Jersey data center, for example, are constantly placing buys and sell orders that they have no intention of executing, just to spoof the other colocated bots who are playing the same adversarial game. Information inclusion, on the other hand, the synthesis of real-time world events into prices, takes a back seat because anyone who tries to include new information first needs to batch up their order and send it through a series of middlemen before it ultimately ends up on the exchange: you, I, or practically any other individual can not actually "trade on the NASDAQ", no, we have to express our intent to someone like Robinhood, who then sells our order flow to @CitadelSecurities, who then sends it to the exchange, oh and by the way it doesn't actually even "clear" or "settle" once it "executes" because for whatever reason the whole systems splits these things up and prevents them from happening instantaneously even though it's 2024 and we have computers. Onchain trading cuts out middlemen This whole mess is why we have onchain trading, and why it's starting to win: if you want a mainline to the exchange, without setting up a server, and you want to trade on a news event without getting immediately frontrun by an HFT bot that is sniffing out the trades of every other HFT bot who is easing in batched up order flow on their own terms, then you submit your order to a node in the blockchain and the information gets included in the price upon ingestion. Oh, and by the way the trade is actually fully complete: settled, cleared, reconciled, done, whatever you want to call it, because the people who build decentralized finance (DeFi) build it how it should actually work, not in a way that creates a million incumbents and charges exorbitant rents for access to the system. Onchain trading better for price discovery And the beautiful part about this is that even if a distributed system has more latency than a centralized system, DeFi still ends up incorporating more information into the price faster than centralized finance, because with DeFi the information gets included in the system as soon as it is submitted, not after it has been batched up and sent through a series of middlemen. The consensus mechanism of the blockchain disseminates the information around the world in the form of a price update, while the centralized exchange model requires information about the event to first get propagate to the region of the trading hub, then to get submitted to the colocation server. This means that in terms of global price discovery, onchain trading is strictly a better system because the entire consensus model is based around accelerated information propagation. Because price discovery is a global phenomenon, blockchains, which are global, are actually better than the centralized status quo, on a performance basis, not just from an ideological or convenience-based view. And it has to be multi-leader In practice, effective global information synthesis of information has an additional key requirement: multi-leader architecture. That is, in a single-leader blockchain like Solana, where one validator at a time has a monopoly on ordering transactions into blocks, for their duration as a leader they effectively function as a colocation server. This means that if the current leader is in New York, someone in Singapore who wants to trade on local news as soon as it breaks will still need to get their order all the way around the world to the leader, who is effectively serving as the chain's data ingestion point, before the order can start propagating through the network. But this is issue solved by the introduction of multiple distributed leaders, because then anyone with access to new information can submit their order to the leader closest to them, yielding faster information inclusion in the form of price updates. Multi-leader is also required for fair markets A multi-leader architecture is also required for fair markets, because in a single-leader system the leader has the power to censor transactions, reorder them to their advantage, or even replace transactions with copycats that extract maximum value by replacing the sender's address with their own. For example if someone wants to capture an arbitrage opportunity between two onchain DEXes, they'll need to submit a transaction to the leader and trust that the leader won't simply copy the transaction and submit it themselves. But when there are two or more leaders, users whose transactions are censored by one leader will simply work with a different leader the next time around, eventually cutting off transaction fee flow to the extractive leader. Beyond just strict inclusion, in a multi-leader architecture validators are also forced to compete with each other on latency, because the leader who is fastest at disseminating users' transactions across the network will over time gobble up the largest share of the order flow. Transparent priority fees are a must, or a private mempool will emerge But in order to make this work, a multi-leader architecture must also offer users the ability to pay priority fees AKA "tips" or "bribes" to move their transaction to the front of the line: if there is a $5 arbitrage opportunity onchain, users need to have assurance that they if they pay a 4.99 priority fee to take that arb, they will get priority over a different user who is only willing to tip 4.98. If the native blockchain system does not offer this fair market priority fee mechanism, then it is only a matter of time before one spontaneously emerges in the form of a private mempool like Jito, which can create centralization pressures and undermine the integrity of the system as a whole. Competitive payment for order flow is the stable solution With the right architecture in place, the end result is a competitive environment where endpoints running maximum extractable value (MEV) bots compete with one to offer users the best price for their order flow. In other words, if a user wants to submit an order that can get sandwich attacked for as much as $2 of MEV, then the order should ultimately go to the endpoint bot that is willing to pay the user as much as $1.99 for the right to process their transaction. The price that the provider is willing to pay is ultimately a function of how much in priority fees they might need to pay to the current leader (0 they are the current one), but notably at each stage there is a competitive market for order flow, whether in the form of retail trader's orders, or priority fees among bots that might be forwarding orders to one of the leaders. AptosLabs is already building all this With a public mempool and transaction priority fees, Aptos additionally includes a pipelined architecture that already includes concurrent batching of transactions into blocks, with a single consensus leader who propagates the batched blocks out to the network. And the team is already researching running multiple instances of the consensus algorithm in parallel, yielding multiple consensus leaders who can compete with each other on latency and inclusion - just ask pranav | Shelby, Alexander Spiegelman, and Zekun Li. This means that block times can shrink as the number of consensus leaders grows, with each leader having its own geographical radius of inclusion beyond which it makes more sense to submit to a different leader. The starting point? Something like 60 ms blocks and 3 consensus leaders, partitioning the global information space into competitive and constantly-rotating regions of information inclusion. Messaging is important With concurrent pipelined transaction batching, a public mempool, priority fees, and a clear path to a multi-leader architecture, Aptos leads the industry in onchain trading infrastructure that can truly supplant the centralized colocation paradigm that has heretofore dominated global finance - by offering a truly superior product. And I am hopeful that this deep dive is the first step in communicating not how or that superior product is getting built, but what it means from a bigger picture perspective. If blockchains have found product market fit in anything, it is in trading, and the trading game can only be won by building the biggest, baddest, most high performance system that has as its north star a single, concrete goal: constantly reducing, ever lower toward zero, time time it takes to incorporate information from anywhere in the world into the global price discovery computer. Whoever does this, even 1 ms faster than the competitor, wins the price discovery game, as other blockchains are left in the dust, their DEXes arbed away to zero against the fastest chain on the block. And sure, the blockchain that can rise to this challenge can also handle useful things like payments, NFTs, or other solutions that benefit from permissionlessness and low gas costs, but I want to impress that at the core of this pursuit must be the urge to drive down information inclusion latency to the absolute minimum afforded by the laws of physics through a competitive, market-driven environment. I call on avery.apt 🇺🇸 , CTO of Aptos Labs, to lean in on this messaging, to make it clear that Aptos is here for this singular mission, to build the most performant price discovery engine in history, as a rallying call for alignment in development efforts across the ecosystem and broader industry. Where does this go? As the latencies drop, the spreads tighten, and the information inclusion increases with every incremental increase in network bandwidth, we can expect a new class of competing techno-financial hubs that aggregate around the world's largest information sources: New York, Washington DC, London, Tokyo, etc., commanding stake distribution commensurate with the density of information flow in these respective locales. With the right incentives in place, competing concurrent leaders will invest ever more in infrastructure to get their packets out to the network faster than the rest, yielding clusters of fiber optic cable around the world's financial hubs, neurons in the global financial brain connecting not just HFT firms to servers in their city, but connecting every city with every other city, to move pricing information across oceans and continents. And retail traders, who have been left out of the colocation game, will only benefit: this entire system gets faster, more inclusive, with tighter spreads and lower fees, and it is such an amazing opportunity to watch all of this unfold in real time. The future of blockchains is the future of trading, is the future of competitive information inclusion in real-time, is the future of truly unified global markets, because at the the core of this industry is a simple idea: connect the computers, and see where the incentives lead. They lead to this, and Aptos is leading the charge, because its tech is purpose-built for this exact purpose. So tell the world about it.

Alex Kahn

24,432 görüntüleme • 1 yıl önce