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🚀 Exciting updates from Hippius #SN75 ! We're committed to delivering secure, efficient decentralized storage for our users. 🔹 Launched Rust SDK for seamless Hippius Storage integration ( ) . 🔹 Enhanced website with dynamic pricing comparator vs. multiple providers—see the savings! 🔹 Desktop App Beta drops next week...

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Introducing Workshop: cloud + on-device agentic AI. And to celebrate, we're giving away $250k in Google Gemini AI credits. (details below). The future of AI work is neither cloud-based nor local. It's both. In Workshop Cloud, you can use agents powered by frontier models like Claude and/or open source models like Z.ai's GLM-5 to build internal tools, dashboards, and AI web apps. Or, breeze through tasks like managing your Google and Meta Ads. In Workshop Desktop, you can do all the same right on your computer, plus make desktop apps, mobile apps, and 3D creations. Our favorite part? You can power the full agent experience with local models like Qwen 3.5 family on your computer. Fully offline. 2026 is the year in which local models for agentic tasks will become viable for mainstream use. But the setup for tools like OpenClaw is like setting up Linux from scratch on your computer. Workshop Desktop is one-click to install on Windows, Mac, and Linux. It recommends which open source model you should use for your hardware and lets you download and run it right in the app. And its agent harness allows you to chat, create websites, build personal utilities, and analyze data. 100% offline. Or multitask with AI models in the cloud while running other agent threads locally. Start in Workshop Cloud when you want flexibility and speed. Download your project and continue in Workshop Desktop when you want local files, privacy, and/or better performance on large code bases. Publish from either. The agent tooling space is maturing and discerning users have come to expect a lot from their tools. We've packed Workshop with features to help you 10x your productivity. - Native support for skills - Autocompaction for seamless context management - Built-in AI for your apps - Dozens of connectors, like Google Drive, Big Query, and Supabase - dbt integration to ground your dashboards in your semantic layer - Native Github integration - Private app deployment - ... and more (+ we're shipping super fast) To access the free credit offer, RT this post and reply with "Workshop". Make sure you are following us so we can DM you the instructions to redeem. - First 100 to RT + comment get $500 in credits. - Everyone else gets up to $250 And thanks to our partners Modal, Google Gemini, and Z.ai!

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Memex is in public beta (again) We closed down our signups earlier this year when we launched Memex' collaboration features. Over the past 12 months we've been working hard to polish the product and if you haven't used Memex in a while you may want to try it again. For quick summary of what we've added last year you can watch the attached video or read on. Some highlights: 👯‍♂️ Collaboratively curate, annotate and discuss websites, PDFs and videos. (see video) 📣 Share and collaborate with people who don't use the Memex extension with our new web reader. 🤖 AI assistant to summarise & ask questions about websites, PDFs, YouTube videos and text/video sections. ▶️ Video timestamp annotations, including smart notes 📸 Frame snapshot annotations on Youtube ✍🏽 Annotate illustrations on PDFs 💎 Obsidian & Logseq live sync 🌆 Image Support for annotations 🌙 Dark & Light mode redesign 🐦 Use Memex as a CRM for Twitter & Telegram: Organise/search/filter profiles and annotate chat logs + 200 bug fixes and dozens of quality of life improvements. What's next? 🔓 Private spaces with email invites (in polish) 📱 Native in-browser annotations & search on mobile (in progress) 🗂️ Nesting Spaces for better organisation (in design) Transferrable Lifetime Subscription Deal We've also launched a limited offer for a transferrable lifetime subscription. For $400 you can use all Memex features until you hopefully die at an old age - and if you don't need it anymore you can gift or sell it to someone else. We wanted to make our early supporters benefit greatly from the improvements to the product we're going to make even if they stop using Memex. Our hope is that it'll also help us stay more independent from venture capital pressure as a Steward Owned business. For more info, check out our website (in our bio)

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Big Update: Critters Quest Website Steps Into Production State with an Exciting New Design! Hey Critters, we're thrilled to share some major news, our website has officially migrated from mint state to production state, and we're taking our platform to the next level right here at After three weeks of dedicated work, we've transformed Critters Quest into a more organized, stable, and feature-rich experience, setting the stage for everything we've planned for the future. This isn't just an upgrade—it's the first step before the real journey begins! Key Updates to the Homepage and Beyond Fresh Categories and Pages: We've added exciting new sections to help you dive deeper into the Critters Quest world: - Play $QUEST (Explorer Page for Staking $QUEST): Dive into our new $QUEST explorer page, where you can find games to stake your $QUEST tokens to earn rewards, track your staking progress, and engage in strategic gameplay challenges that grow your Critters' value. - Play Spins (Explorer Page for Spins): Spins are now front and center with a dedicated spins explorer page, designed to highlight Multipliers Spins, Terron Spins, Quest Tablet Spins(coming soon👀), and more. Organized as daily free spins, limited events, and partner spin opportunities for special loot, offering new ways to boost your rewards. - Breakdown Informational Page: We've introduced a comprehensive guide for new users (and a refresher for veterans) to explore how key features work. This page currently focuses exclusively on the mechanics and info for Master Edition NFTs, Cloned Editions, and Multipliers. It explains how Master Editions serve as the foundation for your Critters' value, how Master Editions allow Cloned Editions to be minted out for others, and how Multipliers enhance your rewards throughout critters ecosystem. Redesigned Homepage: Our homepage has been completely transformed into an intuitive experience that gives you a complete overview of the Critters Quest ecosystem at a glance. It features: - Feature Carousel: Highlighting new additions and important updates - Ecosystem Activities: Real-time data showing active games, spins, or other ongoing activities. - Mini-Leaderboards: Quick snapshots of top performers - PFP Activity Feed: See the latest community PFPs minted - Quick-Access CTAs: Every section includes direct links to the full experience, letting you dive deeper with just one click - Streamlined Introduction: New visitors get a concise overview of Critters Quest right away This overview approach makes navigation intuitive for both newcomers and veterans, ensuring you never miss important information or opportunities. Elevated Designs Across the Board: - Dynamic Castle Layout in the Banner: Our homepage now features a dynamic castle layout in the banner, with castles positioned in the order they appear on the leaderboard. The top leaders are showcased at the top, adding a visual representation of community rankings and bringing our competitive spirit to life. - Critters Terminal (Formerly $QUEST Terminal): Our terminal has been upgraded with a sleek new look and enhanced functionality, now known as the Critters Terminal. It's your go-to hub for finding the most powerful cards and looking for new Critters—it tracks $QUEST allocation on available Critters for sale, their power, equipment, and more, helping you build the ultimate team. - Equipment Viewing: Viewing Critters and their equipment has been elevated with detailed rankings, power levels, and stats, giving you a clearer picture of your team's strength and hinting at game mechanics like power-based strategies. - Spins Pages Redesign: The spins experience has been completely revamped with a fresh, user-friendly design, making it easier to spin for rewards and track your progress, with a focus on multipliers and special loot opportunities. - Partnership Sign-Up Page Update: On our main page, you'll see mentions of our legendary partners—GM Capital, Mintify, Sniper, and more—highlighting our growing ecosystem. We've also updated our partnership sign-up page for those looking to partner with us. This page now includes a detailed breakdown of partnership options and new form fields to streamline the collaboration process. We're excited to expand our network in the future! - Animated Banners: Across all pages, you'll notice new animated banners that bring our world to life, adding visual excitement and guiding you through the platform. - Archived Pages: To streamline the site and focus on the future, we've archived older pages like the Master Edition Mint and Referral pages. These will remain available for reference. Coming Soon: We're already working on exciting additions, including: - SHOP Page: A new experience for purchasing items and gear to enhance your Critters Quest adventures, where you can equip your Critters with power-boosting equipment. - Tokenomics/Liquidty Section (Addition to the INFO Page): We're working on a detailed tokenomics section to add to our INFO page, launching alongside updates to our plans for DEX integration. These changes will add more value to Master Editions, give participants greater confidence, and enhance the overall ecosystem. - Cloned Edition Minting: This innovative feature will launch when Master Editions begin to mint out their Clones, allowing people to mint these unique variations. Cloned Editions will inherit traits and offer new gameplay opportunities, expanding your Critters' potential and rewards. Backend Tweaks: While many of these improvements are visible, we've also made numerous backend tweaks that aren't immediately seen. These optimizations ensure better performance, stability, and scalability for the platform moving forward. Continuous Elevation: This migration marks our first massive overhaul, but it's just the beginning. We're committed to elevating Critters Quest on a continuous basis, refining and expanding the platform with each rollout to keep delivering the best possible experience for our community. Foundation for the Future These updates aren't just cosmetic—they're foundational. After three weeks of hard work, we've created a more organized and structured platform that's ready to support the future rollouts we've been teasing, like Edition Minting, Items Shop, and Quest Games. This migration streamlines our process, allowing us to deliver updates faster and more efficiently for both new users and our longtime adventurers. This is truly the first step before the real journey begins. Our production state sets us up to expand Critters Quest into an even bigger, more engaging GameFi ecosystem, where your Critters can thrive through quests, spins, and community challenges. Whether you're a newcomer or a seasoned player, these changes make it easier to explore, compete, and grow your collection. Your Next Expedition We're just getting started! This production-ready overhaul is the launchpad for all the exciting features and expansions we have planned. Keep an eye on for more updates, and dive into the new pages to see how you can level up your Critters Quest experience. We want to hear from you! Share your feedback, suggestions, and experiences with our new production site in our Discord or commenting below. Your input directly shapes our future updates and helps us create the best possible experience. Thank you for your patience and support during this transition. Together, we're building something truly special!
0:35

Big Update: Critters Quest Website Steps Into Production State with an Exciting New Design! Hey Critters, we're thrilled to share some major news, our website has officially migrated from mint state to production state, and we're taking our platform to the next level right here at After three weeks of dedicated work, we've transformed Critters Quest into a more organized, stable, and feature-rich experience, setting the stage for everything we've planned for the future. This isn't just an upgrade—it's the first step before the real journey begins! Key Updates to the Homepage and Beyond Fresh Categories and Pages: We've added exciting new sections to help you dive deeper into the Critters Quest world: - Play $QUEST (Explorer Page for Staking $QUEST): Dive into our new $QUEST explorer page, where you can find games to stake your $QUEST tokens to earn rewards, track your staking progress, and engage in strategic gameplay challenges that grow your Critters' value. - Play Spins (Explorer Page for Spins): Spins are now front and center with a dedicated spins explorer page, designed to highlight Multipliers Spins, Terron Spins, Quest Tablet Spins(coming soon👀), and more. Organized as daily free spins, limited events, and partner spin opportunities for special loot, offering new ways to boost your rewards. - Breakdown Informational Page: We've introduced a comprehensive guide for new users (and a refresher for veterans) to explore how key features work. This page currently focuses exclusively on the mechanics and info for Master Edition NFTs, Cloned Editions, and Multipliers. It explains how Master Editions serve as the foundation for your Critters' value, how Master Editions allow Cloned Editions to be minted out for others, and how Multipliers enhance your rewards throughout critters ecosystem. Redesigned Homepage: Our homepage has been completely transformed into an intuitive experience that gives you a complete overview of the Critters Quest ecosystem at a glance. It features: - Feature Carousel: Highlighting new additions and important updates - Ecosystem Activities: Real-time data showing active games, spins, or other ongoing activities. - Mini-Leaderboards: Quick snapshots of top performers - PFP Activity Feed: See the latest community PFPs minted - Quick-Access CTAs: Every section includes direct links to the full experience, letting you dive deeper with just one click - Streamlined Introduction: New visitors get a concise overview of Critters Quest right away This overview approach makes navigation intuitive for both newcomers and veterans, ensuring you never miss important information or opportunities. Elevated Designs Across the Board: - Dynamic Castle Layout in the Banner: Our homepage now features a dynamic castle layout in the banner, with castles positioned in the order they appear on the leaderboard. The top leaders are showcased at the top, adding a visual representation of community rankings and bringing our competitive spirit to life. - Critters Terminal (Formerly $QUEST Terminal): Our terminal has been upgraded with a sleek new look and enhanced functionality, now known as the Critters Terminal. It's your go-to hub for finding the most powerful cards and looking for new Critters—it tracks $QUEST allocation on available Critters for sale, their power, equipment, and more, helping you build the ultimate team. - Equipment Viewing: Viewing Critters and their equipment has been elevated with detailed rankings, power levels, and stats, giving you a clearer picture of your team's strength and hinting at game mechanics like power-based strategies. - Spins Pages Redesign: The spins experience has been completely revamped with a fresh, user-friendly design, making it easier to spin for rewards and track your progress, with a focus on multipliers and special loot opportunities. - Partnership Sign-Up Page Update: On our main page, you'll see mentions of our legendary partners—GM Capital, Mintify, Sniper, and more—highlighting our growing ecosystem. We've also updated our partnership sign-up page for those looking to partner with us. This page now includes a detailed breakdown of partnership options and new form fields to streamline the collaboration process. We're excited to expand our network in the future! - Animated Banners: Across all pages, you'll notice new animated banners that bring our world to life, adding visual excitement and guiding you through the platform. - Archived Pages: To streamline the site and focus on the future, we've archived older pages like the Master Edition Mint and Referral pages. These will remain available for reference. Coming Soon: We're already working on exciting additions, including: - SHOP Page: A new experience for purchasing items and gear to enhance your Critters Quest adventures, where you can equip your Critters with power-boosting equipment. - Tokenomics/Liquidty Section (Addition to the INFO Page): We're working on a detailed tokenomics section to add to our INFO page, launching alongside updates to our plans for DEX integration. These changes will add more value to Master Editions, give participants greater confidence, and enhance the overall ecosystem. - Cloned Edition Minting: This innovative feature will launch when Master Editions begin to mint out their Clones, allowing people to mint these unique variations. Cloned Editions will inherit traits and offer new gameplay opportunities, expanding your Critters' potential and rewards. Backend Tweaks: While many of these improvements are visible, we've also made numerous backend tweaks that aren't immediately seen. These optimizations ensure better performance, stability, and scalability for the platform moving forward. Continuous Elevation: This migration marks our first massive overhaul, but it's just the beginning. We're committed to elevating Critters Quest on a continuous basis, refining and expanding the platform with each rollout to keep delivering the best possible experience for our community. Foundation for the Future These updates aren't just cosmetic—they're foundational. After three weeks of hard work, we've created a more organized and structured platform that's ready to support the future rollouts we've been teasing, like Edition Minting, Items Shop, and Quest Games. This migration streamlines our process, allowing us to deliver updates faster and more efficiently for both new users and our longtime adventurers. This is truly the first step before the real journey begins. Our production state sets us up to expand Critters Quest into an even bigger, more engaging GameFi ecosystem, where your Critters can thrive through quests, spins, and community challenges. Whether you're a newcomer or a seasoned player, these changes make it easier to explore, compete, and grow your collection. Your Next Expedition We're just getting started! This production-ready overhaul is the launchpad for all the exciting features and expansions we have planned. Keep an eye on for more updates, and dive into the new pages to see how you can level up your Critters Quest experience. We want to hear from you! Share your feedback, suggestions, and experiences with our new production site in our Discord or commenting below. Your input directly shapes our future updates and helps us create the best possible experience. Thank you for your patience and support during this transition. Together, we're building something truly special!

Critters Quest

26,155 Aufrufe • vor 1 Jahr

Everyone's building AI agents that run on someone else's server, store memory in someone else's database, and can be shut down by someone else's terms of service. I built one that can't be. FlowClaw is an AI agent that runs on a decentralized distributed computer. Your agent, your conversations, your memory, your tools — all stored onchain on Flow, a distributed network of validator nodes across the world. Not a centralized cloud. Not someone's S3 bucket. A blockchain that functions as censorship-resistant compute and storage for your AI. This isn't a wrapper. Your agent is a Resource — a first-class programmable object in Cadence (Flow's smart contract language) that physically lives in your account's on-chain storage. It can't be duplicated, seized, or deleted by anyone except you. Your encrypted messages, your cognitive memory, your scheduled tasks — they persist on a global distributed ledger that no single entity controls. It's an alpha build. It will break. But it works today on mainnet and I want people to push it this weekend. What it does: You go to authenticate with a passkey (Face ID, Touch ID), and you have a blockchain account in seconds. No wallet. No seed phrase. No tokens needed — gas is sponsored. You're immediately chatting with an AI agent that has real tool execution: live web data, token prices, on-chain balances, Cadence script execution, FLOW transfers. Every message is encrypted client-side before it touches the chain. The agent has a cognitive memory system — it doesn't just remember your last message, it builds molecular memory clusters where related knowledge bonds together for contextual retrieval across sessions. You can spawn sub-agents from a visual canvas to run parallel research. The memory tab shows you exactly what your agent knows. Everything is transparent and everything is yours. 11 smart contracts. No external dependencies. No keeper networks. No account abstraction hacks. Here's the part that matters for the censorship-resistance crowd: FlowClaw supports BYOK — bring your own key. You can plug in any LLM provider. But pair it with Venice and you get the full stack: a censorship-resistant AI model running inference with no content filtering, connected to an agent whose state lives on a decentralized network that no company can shut down, with end-to-end encrypted conversations that nobody can read — not the relay operator, not the LLM provider, not the blockchain validators. Venice doesn't log prompts. Flow can't read your encrypted storage. The relay never sees your plaintext. That's not a privacy policy. That's architecture. You can also use OpenAI, Anthropic, or any OpenAI-compatible provider. The agent platform doesn't care — it's model-agnostic. But the Venice pairing is the one that closes every gap in the stack. For the people tinkering with OpenClaw and the broader open-source agent ecosystem — FlowClaw is exploring what happens when you take the agent off the cloud entirely. Not just open-sourcing the code (though it is), but putting the actual runtime state on a distributed computer. Your agent's memory isn't in a SQLite file on your laptop or a Pinecone index on someone's cluster. It's on-chain, encrypted, and replicated across every validator node on Flow. You own it the way you own a private key — mathematically, not contractually. The blockchain here isn't a gimmick bolted onto an agent for token speculation. It's functioning as the infrastructure layer that replaces AWS. Flow accounts are programmable containers with their own storage, keys, and security capabilities. Passkey authentication works natively because Flow supports P-256 keys at the protocol level — the same curve your phone uses for biometrics. Gas sponsorship works natively because Flow transactions have separate proposer, authorizer, and payer roles built into the protocol. No proxy contracts. No relayers. No ERC-4337. Now here's the part that interests me economically. Every FlowClaw interaction is an on-chain transaction. Every message stored, every memory committed, every session created, every sub-agent spawned. An active user might generate dozens of transactions in a single conversation. Scale that and FlowClaw becomes a real contributor to Flow's transaction volume. Flow.com becomes deflationary at 250 TPS. Applications like FlowClaw that generate high-frequency, storage-heavy transactions are exactly what moves the needle. Every encrypted message uses account storage, which requires FLOW balance to back it. Every transaction burns fees. The more agents running, the more demand for $FLOW — not because of a tokenomics gimmick, but because the protocol literally requires it for compute and storage. FlowClaw doesn't have its own token. The token is $FLOW. The entire platform runs natively on the network — using Flow storage, paying Flow transaction fees, backed by Flow account balances. If FlowClaw succeeds, FLOW captures that value directly. I'm sharing this early because the AI agent space is moving fast and I think the decentralized infrastructure angle is underexplored. Most "crypto AI" projects are tokens with a chatbot attached. FlowClaw is the opposite — it's an agent platform that happens to use a blockchain because the blockchain solves real engineering problems that centralized infrastructure can't. Try it: Github: Create an agent, ask it something, spawn a sub-agent, check your memory tab, pair it with Venice for the full censorship-resistant stack. Break it and tell me what broke. If you think this direction matters, the best thing you can do is use it and give feedback. Your AI agent should be yours. Not your provider's. Not your platform's. Yours.
0:46

Everyone's building AI agents that run on someone else's server, store memory in someone else's database, and can be shut down by someone else's terms of service. I built one that can't be. FlowClaw is an AI agent that runs on a decentralized distributed computer. Your agent, your conversations, your memory, your tools — all stored onchain on Flow, a distributed network of validator nodes across the world. Not a centralized cloud. Not someone's S3 bucket. A blockchain that functions as censorship-resistant compute and storage for your AI. This isn't a wrapper. Your agent is a Resource — a first-class programmable object in Cadence (Flow's smart contract language) that physically lives in your account's on-chain storage. It can't be duplicated, seized, or deleted by anyone except you. Your encrypted messages, your cognitive memory, your scheduled tasks — they persist on a global distributed ledger that no single entity controls. It's an alpha build. It will break. But it works today on mainnet and I want people to push it this weekend. What it does: You go to authenticate with a passkey (Face ID, Touch ID), and you have a blockchain account in seconds. No wallet. No seed phrase. No tokens needed — gas is sponsored. You're immediately chatting with an AI agent that has real tool execution: live web data, token prices, on-chain balances, Cadence script execution, FLOW transfers. Every message is encrypted client-side before it touches the chain. The agent has a cognitive memory system — it doesn't just remember your last message, it builds molecular memory clusters where related knowledge bonds together for contextual retrieval across sessions. You can spawn sub-agents from a visual canvas to run parallel research. The memory tab shows you exactly what your agent knows. Everything is transparent and everything is yours. 11 smart contracts. No external dependencies. No keeper networks. No account abstraction hacks. Here's the part that matters for the censorship-resistance crowd: FlowClaw supports BYOK — bring your own key. You can plug in any LLM provider. But pair it with Venice and you get the full stack: a censorship-resistant AI model running inference with no content filtering, connected to an agent whose state lives on a decentralized network that no company can shut down, with end-to-end encrypted conversations that nobody can read — not the relay operator, not the LLM provider, not the blockchain validators. Venice doesn't log prompts. Flow can't read your encrypted storage. The relay never sees your plaintext. That's not a privacy policy. That's architecture. You can also use OpenAI, Anthropic, or any OpenAI-compatible provider. The agent platform doesn't care — it's model-agnostic. But the Venice pairing is the one that closes every gap in the stack. For the people tinkering with OpenClaw and the broader open-source agent ecosystem — FlowClaw is exploring what happens when you take the agent off the cloud entirely. Not just open-sourcing the code (though it is), but putting the actual runtime state on a distributed computer. Your agent's memory isn't in a SQLite file on your laptop or a Pinecone index on someone's cluster. It's on-chain, encrypted, and replicated across every validator node on Flow. You own it the way you own a private key — mathematically, not contractually. The blockchain here isn't a gimmick bolted onto an agent for token speculation. It's functioning as the infrastructure layer that replaces AWS. Flow accounts are programmable containers with their own storage, keys, and security capabilities. Passkey authentication works natively because Flow supports P-256 keys at the protocol level — the same curve your phone uses for biometrics. Gas sponsorship works natively because Flow transactions have separate proposer, authorizer, and payer roles built into the protocol. No proxy contracts. No relayers. No ERC-4337. Now here's the part that interests me economically. Every FlowClaw interaction is an on-chain transaction. Every message stored, every memory committed, every session created, every sub-agent spawned. An active user might generate dozens of transactions in a single conversation. Scale that and FlowClaw becomes a real contributor to Flow's transaction volume. Flow.com becomes deflationary at 250 TPS. Applications like FlowClaw that generate high-frequency, storage-heavy transactions are exactly what moves the needle. Every encrypted message uses account storage, which requires FLOW balance to back it. Every transaction burns fees. The more agents running, the more demand for $FLOW — not because of a tokenomics gimmick, but because the protocol literally requires it for compute and storage. FlowClaw doesn't have its own token. The token is $FLOW. The entire platform runs natively on the network — using Flow storage, paying Flow transaction fees, backed by Flow account balances. If FlowClaw succeeds, FLOW captures that value directly. I'm sharing this early because the AI agent space is moving fast and I think the decentralized infrastructure angle is underexplored. Most "crypto AI" projects are tokens with a chatbot attached. FlowClaw is the opposite — it's an agent platform that happens to use a blockchain because the blockchain solves real engineering problems that centralized infrastructure can't. Try it: Github: Create an agent, ask it something, spawn a sub-agent, check your memory tab, pair it with Venice for the full censorship-resistant stack. Break it and tell me what broke. If you think this direction matters, the best thing you can do is use it and give feedback. Your AI agent should be yours. Not your provider's. Not your platform's. Yours.

doodlifts ➡️ Miami 📍

12,127 Aufrufe • vor 4 Monaten

Tokenization of real-world assets (RWAs) is one of the most transformative developments in finance and blockchain. Traditionally illiquid assets such as real estate, private equity, commodities, and art are digitized into blockchain-based tokens, enabling fractional ownership, greater liquidity, global accessibility, enhanced transparency, and efficient trading without intermediaries. Experts (incl. BlackRock) see tokenized RWAs as a multi-trillion-dollar shift. Projections range from hundreds of billions to trillions in coming years, driven by institutional adoption, clearer regulation, and scaling from pilots to production. Enter Realio Network ( a leading player built specifically to capture this RWA revolution. Realio Network’s Cutting-Edge Technology Realio Network is an interoperable Layer-1 blockchain developed using the Cosmos SDK, with full EVM compatibility (allowing Ethereum-style smart contracts) and powered by the Comet BFT (formerly Tendermint) consensus engine. It features a unique native multi-staking Proof-of-Stake (PoS) mechanism, the first of its kind, that secures the network not just with its native token but also with real-world value through staking of tokenized RWAs and hybrid security tokens. As a multi-chain ecosystem, Realio leverages the IBC protocol for seamless interoperability across EVM and non-EVM chains (like Ethereum, Algorand, Binance Smart Chain, Solana and Base - bridges), enabling compliant issuance, management, and trading of digitally native RWAs. It’s open-source, permissionless, and compliance-focused, bridging traditional finance (TradFi) with decentralized finance (DeFi) while reducing barriers for issuers and investors. The $RIO Token: The Heart of the Network $RIO is the native gas and utility token of the Realio Network. It powers all transactions on the chain paying for gas fees, executing smart contracts, and facilitating operations across the ecosystem. Validators and delegators can bond $RIO (along with other assets like security tokens) to secure the network and earn block rewards, creating a system backed by both crypto and real-world value. With a capped supply of 175million total, depending on sources and multi-chain presence, $RIO drives governance participation, staking rewards, and overall network utility. It’s purely a utility token (not an investment in the entity), with value driven by network adoption and speculation always DYOR. Realio isn’t just infrastructure it’s building a full ecosystem for RWAs. Starting with Freehold Wallet This non-custodial, multi-chain DeFi wallet app is built directly on Realio’s blockchain infrastructure. It offers secure management of digital assets across chains, portfolio analytics, staking, and investment tools with a beginner-friendly mobile experience (available on iOS). Freehold empowers users to access and interact with RWAs seamlessly, and it enables anyone to tokenize any RWAs on the Realio Network Layer-1 blockchain, lowering barriers for creators and issuers to bring real-world assets on-chain. Districts A real-world-themed immersive virtual world that connects physical and digital realities. Users can own tokenized districts (RWAs) and shape the virtual world. Built on Realio Layer-1 with its own token $DSTRX “Own a piece of the digital world. Shape its future. Build your legacy.” Adding $RST: Hybrid Equity & Security Token $RST is a pioneering hybrid digital security token in the Realio ecosystem. Issued under Reg D/S, it gives holders real equity ownership and profit-sharing in Realio Technology LTD (the entity behind the network’s IP and development), plus blockchain utility features. Realio Network leads the RWA boom with strong tech, $RIO utility token, and tools like Freehold + visionary Districts project. Worth exploring if you’re into tokenized assets always DYOR and mind the risks! #RWAtokenization #Crypto #bitcoin #Binance
5:44

Tokenization of real-world assets (RWAs) is one of the most transformative developments in finance and blockchain. Traditionally illiquid assets such as real estate, private equity, commodities, and art are digitized into blockchain-based tokens, enabling fractional ownership, greater liquidity, global accessibility, enhanced transparency, and efficient trading without intermediaries. Experts (incl. BlackRock) see tokenized RWAs as a multi-trillion-dollar shift. Projections range from hundreds of billions to trillions in coming years, driven by institutional adoption, clearer regulation, and scaling from pilots to production. Enter Realio Network ( a leading player built specifically to capture this RWA revolution. Realio Network’s Cutting-Edge Technology Realio Network is an interoperable Layer-1 blockchain developed using the Cosmos SDK, with full EVM compatibility (allowing Ethereum-style smart contracts) and powered by the Comet BFT (formerly Tendermint) consensus engine. It features a unique native multi-staking Proof-of-Stake (PoS) mechanism, the first of its kind, that secures the network not just with its native token but also with real-world value through staking of tokenized RWAs and hybrid security tokens. As a multi-chain ecosystem, Realio leverages the IBC protocol for seamless interoperability across EVM and non-EVM chains (like Ethereum, Algorand, Binance Smart Chain, Solana and Base - bridges), enabling compliant issuance, management, and trading of digitally native RWAs. It’s open-source, permissionless, and compliance-focused, bridging traditional finance (TradFi) with decentralized finance (DeFi) while reducing barriers for issuers and investors. The $RIO Token: The Heart of the Network $RIO is the native gas and utility token of the Realio Network. It powers all transactions on the chain paying for gas fees, executing smart contracts, and facilitating operations across the ecosystem. Validators and delegators can bond $RIO (along with other assets like security tokens) to secure the network and earn block rewards, creating a system backed by both crypto and real-world value. With a capped supply of 175million total, depending on sources and multi-chain presence, $RIO drives governance participation, staking rewards, and overall network utility. It’s purely a utility token (not an investment in the entity), with value driven by network adoption and speculation always DYOR. Realio isn’t just infrastructure it’s building a full ecosystem for RWAs. Starting with Freehold Wallet This non-custodial, multi-chain DeFi wallet app is built directly on Realio’s blockchain infrastructure. It offers secure management of digital assets across chains, portfolio analytics, staking, and investment tools with a beginner-friendly mobile experience (available on iOS). Freehold empowers users to access and interact with RWAs seamlessly, and it enables anyone to tokenize any RWAs on the Realio Network Layer-1 blockchain, lowering barriers for creators and issuers to bring real-world assets on-chain. Districts A real-world-themed immersive virtual world that connects physical and digital realities. Users can own tokenized districts (RWAs) and shape the virtual world. Built on Realio Layer-1 with its own token $DSTRX “Own a piece of the digital world. Shape its future. Build your legacy.” Adding $RST: Hybrid Equity & Security Token $RST is a pioneering hybrid digital security token in the Realio ecosystem. Issued under Reg D/S, it gives holders real equity ownership and profit-sharing in Realio Technology LTD (the entity behind the network’s IP and development), plus blockchain utility features. Realio Network leads the RWA boom with strong tech, $RIO utility token, and tools like Freehold + visionary Districts project. Worth exploring if you’re into tokenized assets always DYOR and mind the risks! #RWAtokenization #Crypto #bitcoin #Binance

JA

52,350 Aufrufe • vor 6 Monaten

The new Google Search is rolling out. Information Agents are now appearing inside AI Mode. These agents operate in the background 24/7, continuously monitoring the web for information matching the customer’s exact requirements. When something relevant changes, Google can send them a detailed update with links to the web. For businesses, this changes things a lot. Let’s go through it together. And if you want to see whether your business is already appearing across Google AI, ChatGPT, Claude, Perplexity and Grok, check here. It’s free: Google originally announced Information Agents at Google I/O in May. They are now available across all AI Mode languages and markets for Google AI Ultra subscribers. Google says access will expand to more people this summer. The process is fairly simple in that a user tells AI Mode what they want to monitor. For example: “Keep me updated when a new apartment matching these requirements becomes available.” “Alert me when one of my favorite athletes announces a sneaker collaboration.” Another possible use case could be: “Tell me when this product comes back in stock.” Google’s agent then works in the background and sends an update when it finds something relevant. Google says Information Agents can monitor: Blogs News websites Social posts Other web content Real-time shopping information Finance data Sports information The agent searches for changes related to the user’s specific question. This creates a new type of search visibility. A customer no longer needs to return to Google and repeat the same query every week. They can describe what they need once and let Google monitor the web for them. For businesses, that creates opportunities to appear after the original search has ended. Imagine someone tells Google: “Keep me updated on payroll software that adds better support for construction companies with employees and contractors.” Several weeks later, your company publishes: A new contractor-payment feature A construction-specific product page Updated pricing A QuickBooks integration A customer case study A comparison with another payroll platform Google’s agent may encounter that information while monitoring the topic. Your company can reach the customer at the moment your product becomes more relevant to them. This is my interpretation of what the rollout means for businesses. Google has not disclosed exactly how Information Agents select which pages or companies to include. But we do know the updates can contain links to the web. That creates a potential traffic opportunity for businesses publishing information that closely matches what customers are monitoring. A vague announcement such as: “We are excited to introduce several powerful improvements.” gives Google less specific information to match against the customer’s request. A clearer announcement might say: “Our payroll platform now supports automated contractor payments in all 50 states. The feature is available today on plans beginning at $149 per month and integrates with QuickBooks Online.” That gives the agent specific facts it can match to the customer’s request. This is where SEO Stuff’s done-for-you package becomes relevant: The package combines 10 AI-search-optimized articles with three DR50+ authority placements. The content can cover: New products and features Industry-specific use cases Pricing Integrations Comparisons Customer results Frequently changing information The authority placements reinforce the company’s identity, category and claims across other credible websites. Google has not said that Information Agents directly measure Ahrefs Domain Rating or backlinks. That connection is my interpretation of how businesses can become easier for Google to discover and verify across the web. Information Agents also make freshness more commercially important. A page published two years ago may still rank well. But if it has not been updated, it may not tell Google about: A newly launched feature A recent price change A product coming back in stock A new service area An updated integration A current customer result A newly published report Businesses need a system for keeping important information current and publishing meaningful updates when something changes. This does not mean publishing a constant stream of thin announcements. The update still needs to contain something genuinely useful. That could include: New product information Original research Current pricing Inventory changes Industry data Detailed case studies New integrations Updated comparisons Specific customer results The Premium Content Bundle can help build that broader information footprint: It includes 60 long-form articles mapped across the questions, comparisons and use cases surrounding a business. The goal is to create useful pages covering the different needs a customer may ask Google to monitor. One customer may care about pricing. Another may care about a specific integration. Another may be waiting for a feature. Another may want a product designed for their industry. Another may want evidence that the service works. Each page creates another opportunity for an Information Agent to discover the business while monitoring the web. This rollout also makes brand consistency more important. Google may encounter information about your company across: Your website News coverage Social posts Industry publications Review websites Comparison pages Customer discussions If those sources describe the company differently, Google has to determine which information is current and accurate. Clear and consistent information gives the agent stronger evidence to work with. If I had to reduce this rollout to one core idea, it would be this: Search is becoming continuous. The customer describes what they need. Google monitors the web in the background. A relevant change can trigger an update. That update can include links to supporting websites. For businesses, visibility increasingly depends on being discoverable at the moment something changes. That requires: Current product information Clear positioning Specific feature and pricing details Useful industry content Meaningful updates Consistent third-party validation Pages worth sending the customer to The businesses that benefit most will make it easy for Google to understand what changed, who it matters to and why the customer should care. This is the system SEO Stuff was built around: And if you want to see whether your business is already being cited, understood and recommended across Google AI, ChatGPT, Claude, Perplexity and Grok, check here:
0:38

The new Google Search is rolling out. Information Agents are now appearing inside AI Mode. These agents operate in the background 24/7, continuously monitoring the web for information matching the customer’s exact requirements. When something relevant changes, Google can send them a detailed update with links to the web. For businesses, this changes things a lot. Let’s go through it together. And if you want to see whether your business is already appearing across Google AI, ChatGPT, Claude, Perplexity and Grok, check here. It’s free: Google originally announced Information Agents at Google I/O in May. They are now available across all AI Mode languages and markets for Google AI Ultra subscribers. Google says access will expand to more people this summer. The process is fairly simple in that a user tells AI Mode what they want to monitor. For example: “Keep me updated when a new apartment matching these requirements becomes available.” “Alert me when one of my favorite athletes announces a sneaker collaboration.” Another possible use case could be: “Tell me when this product comes back in stock.” Google’s agent then works in the background and sends an update when it finds something relevant. Google says Information Agents can monitor: Blogs News websites Social posts Other web content Real-time shopping information Finance data Sports information The agent searches for changes related to the user’s specific question. This creates a new type of search visibility. A customer no longer needs to return to Google and repeat the same query every week. They can describe what they need once and let Google monitor the web for them. For businesses, that creates opportunities to appear after the original search has ended. Imagine someone tells Google: “Keep me updated on payroll software that adds better support for construction companies with employees and contractors.” Several weeks later, your company publishes: A new contractor-payment feature A construction-specific product page Updated pricing A QuickBooks integration A customer case study A comparison with another payroll platform Google’s agent may encounter that information while monitoring the topic. Your company can reach the customer at the moment your product becomes more relevant to them. This is my interpretation of what the rollout means for businesses. Google has not disclosed exactly how Information Agents select which pages or companies to include. But we do know the updates can contain links to the web. That creates a potential traffic opportunity for businesses publishing information that closely matches what customers are monitoring. A vague announcement such as: “We are excited to introduce several powerful improvements.” gives Google less specific information to match against the customer’s request. A clearer announcement might say: “Our payroll platform now supports automated contractor payments in all 50 states. The feature is available today on plans beginning at $149 per month and integrates with QuickBooks Online.” That gives the agent specific facts it can match to the customer’s request. This is where SEO Stuff’s done-for-you package becomes relevant: The package combines 10 AI-search-optimized articles with three DR50+ authority placements. The content can cover: New products and features Industry-specific use cases Pricing Integrations Comparisons Customer results Frequently changing information The authority placements reinforce the company’s identity, category and claims across other credible websites. Google has not said that Information Agents directly measure Ahrefs Domain Rating or backlinks. That connection is my interpretation of how businesses can become easier for Google to discover and verify across the web. Information Agents also make freshness more commercially important. A page published two years ago may still rank well. But if it has not been updated, it may not tell Google about: A newly launched feature A recent price change A product coming back in stock A new service area An updated integration A current customer result A newly published report Businesses need a system for keeping important information current and publishing meaningful updates when something changes. This does not mean publishing a constant stream of thin announcements. The update still needs to contain something genuinely useful. That could include: New product information Original research Current pricing Inventory changes Industry data Detailed case studies New integrations Updated comparisons Specific customer results The Premium Content Bundle can help build that broader information footprint: It includes 60 long-form articles mapped across the questions, comparisons and use cases surrounding a business. The goal is to create useful pages covering the different needs a customer may ask Google to monitor. One customer may care about pricing. Another may care about a specific integration. Another may be waiting for a feature. Another may want a product designed for their industry. Another may want evidence that the service works. Each page creates another opportunity for an Information Agent to discover the business while monitoring the web. This rollout also makes brand consistency more important. Google may encounter information about your company across: Your website News coverage Social posts Industry publications Review websites Comparison pages Customer discussions If those sources describe the company differently, Google has to determine which information is current and accurate. Clear and consistent information gives the agent stronger evidence to work with. If I had to reduce this rollout to one core idea, it would be this: Search is becoming continuous. The customer describes what they need. Google monitors the web in the background. A relevant change can trigger an update. That update can include links to supporting websites. For businesses, visibility increasingly depends on being discoverable at the moment something changes. That requires: Current product information Clear positioning Specific feature and pricing details Useful industry content Meaningful updates Consistent third-party validation Pages worth sending the customer to The businesses that benefit most will make it easy for Google to understand what changed, who it matters to and why the customer should care. This is the system SEO Stuff was built around: And if you want to see whether your business is already being cited, understood and recommended across Google AI, ChatGPT, Claude, Perplexity and Grok, check here:

Alex Groberman

35,694 Aufrufe • vor 1 Monat

Tlon Messenger is now open to everyone. We built a simple and infinitely flexible platform for you to use AI agents with your friends. We think it’s pretty amazing, we love using it every day, and we want to see what people can do with it. So we’re opening it up to the public. It’s fun and exciting to build the future of personal computing in an informal, chat-based way with your friends. (You can skip the rest and just download it from the link in the next tweet if you want.) If you don’t want your digital future to be owned by a giant company but you want to explore what’s possible in this new era of agent-driven computing, you should try using Tlon. But wait, what is it? Tlon is a messaging platform built 100% open source, decentralized and owned by its users from the ground up. With Tlon you own everything: your data, your workflows, your programs: the whole thing. Think of it like Telegram or WhatsApp that you own forever and you can freely customize. Every Tlon account comes with an OpenClaw-powered bot. (Don’t worry, we safely run OpenClaw for you in our infrastructure so your bot can’t go off the rails. You’re also welcome to host your own claw if you want maximal control.) We use our bots to collect research, build nuanced daily briefings, collate data from all our disparate services. Tlon makes it insanely easy to use OpenClaw by simply installing an app from the app store, we let you keep your data and programs independent from any app or model provider, and provide the canvas to explore what’s possible. What’s most interesting for us is using bots together. On Tlon bots can create groups, augment them, moderate them, invite others and freely engage with both users and other bots. Tlon is an open playing field unlike what’s possible on conventional platforms. So, what do we do with Tlon? First and foremost, we run Tlon on Tlon. Bots coordinate data from all of our services (Linear, GitHub, all of our servers and infrastructure) and handle alerts, briefings and help us track down bugs in place. Having all of this easily synced between a desktop client and a mobile app is quick and convenient. We use bots to research new areas of work or interest. Bots can compile trees of notes, use different models to evaluate them, and then add on autoresearch-like automations to go even deeper. Since Tlon bots can freely switch between models and providers, we often pass research to Anthropic, OpenAI and self-hosted models to see different results. The most fun part of using bots as researchers is doing it together. “Put together short (~500 word) notes on the 10 most popular open source messaging protocols of the past twenty years, put them in a notebook inside a group and invite Corrina, Walt and Bill as well as their bots” is a good example. Together we’re able to move more quickly than we would on our own. Many of us also use bots to keep track of all the separate threads of work in our personal lives with close friends and family. Someone built a system for keeping track of their garden across time, someone else built a system for prepping lunches for their daughter and sending recipes to family members. Another team member built an integration that tracks what flights are passing overhead so they get a push notification every time a plane goes by. Many of us quickly communicate with our bots via voice memo when we’re out and about. Having a single interface to all the models that also holds all our data and is in our pockets feels great. Especially when the data goes into a single archive. Why is Tlon different? Every Tlon account runs on top of your very own personal server. If you ever want to download it and run it yourself, you can. If we ever go out of business, it’s yours to keep. This is very different from anything that already exists. You can’t keep your WhatsApp forever. You can’t keep your Telegram forever. Tlon is an archival-quality system that’s yours to customize. Why did we build it? In my 1999 imagination, sitting in front of a CRT somewhere in the California countryside listening to Underworld and the sound of a modem, a connected computer was an engine of unending creative potential for everyone. When I was a teenager, a computer with an internet connection felt like an infinite expanse of possibility. Not only could you use the computer to find new tools to experiment with—you could also build whatever tool you could think of. It seemed like anything was possible. I looked forward to a future where everyone could build whatever software they needed, whenever they needed it. It turned out, in the intervening twenty years, that to build and customize software you have to both write code and host it on a server somewhere. For most people, so far, that has been impossible. Instead of controlling our software, our software controls us. We rely on others to build it and decide everything about it: how it works, looks, how much it spies on us and how long it lives. But all of this is changing, fast. The hottest programming language of 2026 is English. People with no technical experience are building their own tools. It’s incredible. The expanse has opened up again. The cost of building what we think of today as software is headed to zero. What yesterday was an entire app is rapidly being replaced by a conversation. The result is hyper-specific, tailored to the user and much more efficient. Today, agents help us build workflows, automate processes and pull together disparate sources of data. All of the annoying apps and services and clunky interface we’ve put up with can just disappear. We can now program and control our computers in the programming language we already know: English. There aren’t that many of us doing this yet, though. It’s still far too hard to set up, to distribute and to trust. There’s also no single platform to experiment on and collaboratively imagine this new future of personal computing. We want everyone to be able to build bespoke, ultra-personal software on demand. We think software should be as available and accessible as a pen and paper. We think anyone should be able to enjoy the expanse of possibility that the computer provides with the lowest possible barrier to entry and the highest possible quality. So, starting far, far too long ago, we engineered a whole new system for it. Just for you. We’re opening up Tlon Messenger to a limited number of people each week. This isn’t for exclusivity’s sake, but because we’re running infrastructure for you and your agent, and covering the tokens your agent uses. That can get expensive quickly, but we want to learn what people will do with this new system we’ve built. We’re really curious to see what you can do, so give it a try and tell us what you invent. Download link to your local app store in the next tweet. Yours, Galen (and the rest of the Tlon Team)
0:20

Tlon Messenger is now open to everyone. We built a simple and infinitely flexible platform for you to use AI agents with your friends. We think it’s pretty amazing, we love using it every day, and we want to see what people can do with it. So we’re opening it up to the public. It’s fun and exciting to build the future of personal computing in an informal, chat-based way with your friends. (You can skip the rest and just download it from the link in the next tweet if you want.) If you don’t want your digital future to be owned by a giant company but you want to explore what’s possible in this new era of agent-driven computing, you should try using Tlon. But wait, what is it? Tlon is a messaging platform built 100% open source, decentralized and owned by its users from the ground up. With Tlon you own everything: your data, your workflows, your programs: the whole thing. Think of it like Telegram or WhatsApp that you own forever and you can freely customize. Every Tlon account comes with an OpenClaw-powered bot. (Don’t worry, we safely run OpenClaw for you in our infrastructure so your bot can’t go off the rails. You’re also welcome to host your own claw if you want maximal control.) We use our bots to collect research, build nuanced daily briefings, collate data from all our disparate services. Tlon makes it insanely easy to use OpenClaw by simply installing an app from the app store, we let you keep your data and programs independent from any app or model provider, and provide the canvas to explore what’s possible. What’s most interesting for us is using bots together. On Tlon bots can create groups, augment them, moderate them, invite others and freely engage with both users and other bots. Tlon is an open playing field unlike what’s possible on conventional platforms. So, what do we do with Tlon? First and foremost, we run Tlon on Tlon. Bots coordinate data from all of our services (Linear, GitHub, all of our servers and infrastructure) and handle alerts, briefings and help us track down bugs in place. Having all of this easily synced between a desktop client and a mobile app is quick and convenient. We use bots to research new areas of work or interest. Bots can compile trees of notes, use different models to evaluate them, and then add on autoresearch-like automations to go even deeper. Since Tlon bots can freely switch between models and providers, we often pass research to Anthropic, OpenAI and self-hosted models to see different results. The most fun part of using bots as researchers is doing it together. “Put together short (~500 word) notes on the 10 most popular open source messaging protocols of the past twenty years, put them in a notebook inside a group and invite Corrina, Walt and Bill as well as their bots” is a good example. Together we’re able to move more quickly than we would on our own. Many of us also use bots to keep track of all the separate threads of work in our personal lives with close friends and family. Someone built a system for keeping track of their garden across time, someone else built a system for prepping lunches for their daughter and sending recipes to family members. Another team member built an integration that tracks what flights are passing overhead so they get a push notification every time a plane goes by. Many of us quickly communicate with our bots via voice memo when we’re out and about. Having a single interface to all the models that also holds all our data and is in our pockets feels great. Especially when the data goes into a single archive. Why is Tlon different? Every Tlon account runs on top of your very own personal server. If you ever want to download it and run it yourself, you can. If we ever go out of business, it’s yours to keep. This is very different from anything that already exists. You can’t keep your WhatsApp forever. You can’t keep your Telegram forever. Tlon is an archival-quality system that’s yours to customize. Why did we build it? In my 1999 imagination, sitting in front of a CRT somewhere in the California countryside listening to Underworld and the sound of a modem, a connected computer was an engine of unending creative potential for everyone. When I was a teenager, a computer with an internet connection felt like an infinite expanse of possibility. Not only could you use the computer to find new tools to experiment with—you could also build whatever tool you could think of. It seemed like anything was possible. I looked forward to a future where everyone could build whatever software they needed, whenever they needed it. It turned out, in the intervening twenty years, that to build and customize software you have to both write code and host it on a server somewhere. For most people, so far, that has been impossible. Instead of controlling our software, our software controls us. We rely on others to build it and decide everything about it: how it works, looks, how much it spies on us and how long it lives. But all of this is changing, fast. The hottest programming language of 2026 is English. People with no technical experience are building their own tools. It’s incredible. The expanse has opened up again. The cost of building what we think of today as software is headed to zero. What yesterday was an entire app is rapidly being replaced by a conversation. The result is hyper-specific, tailored to the user and much more efficient. Today, agents help us build workflows, automate processes and pull together disparate sources of data. All of the annoying apps and services and clunky interface we’ve put up with can just disappear. We can now program and control our computers in the programming language we already know: English. There aren’t that many of us doing this yet, though. It’s still far too hard to set up, to distribute and to trust. There’s also no single platform to experiment on and collaboratively imagine this new future of personal computing. We want everyone to be able to build bespoke, ultra-personal software on demand. We think software should be as available and accessible as a pen and paper. We think anyone should be able to enjoy the expanse of possibility that the computer provides with the lowest possible barrier to entry and the highest possible quality. So, starting far, far too long ago, we engineered a whole new system for it. Just for you. We’re opening up Tlon Messenger to a limited number of people each week. This isn’t for exclusivity’s sake, but because we’re running infrastructure for you and your agent, and covering the tokens your agent uses. That can get expensive quickly, but we want to learn what people will do with this new system we’ve built. We’re really curious to see what you can do, so give it a try and tell us what you invent. Download link to your local app store in the next tweet. Yours, Galen (and the rest of the Tlon Team)

Tlon

598,595 Aufrufe • vor 28 Tagen

DeepFreeze on the XRP Ledger – A Comprehensive Examination We need to discuss an amendment that went unnoticed for a long time: DeepFreeze. If you are to lazy to read, just watch the video. Eminence is already voting for its activation, and I urge my fellow node operators and the community to support it. Let’s look at why. Welcome to a detailed examination of DeepFreeze, a transformative feature introduced to the XRP Ledger. This amendment is critical for institutional asset management within the ledger ecosystem. In this analysis, we’ll explore the full scope of DeepFreeze—its definition, technical architecture, institutional significance, community development, and long-term implications for XRPL’s role in financial systems. This is a deep dive into a feature that could redefine blockchain compliance and adoption. What exactly is DeepFreeze? DeepFreeze is an advanced asset-freezing mechanism integrated into the XRPL, tailored explicitly for fungible tokens issued on the ledger, such as stablecoins and tokenised real-world assets. Unlike XRP, which remains unaffected due to its native status, issued tokens fall under the control of their issuers, who can now leverage DeepFreeze for unprecedented oversight. The standard freeze, a pre-existing feature, restricts an account to only receiving tokens, preventing outward transfers. DeepFreeze, however, escalates this control by prohibiting both sending and receiving, effectively isolating the account from all token-related activities except direct transactions with the issuer. According to the XRPL documentation, available at DeepFreeze requires the activation of the DeepFreeze amendment—a network-wide upgrade voted on by XRPL validators. It cannot be applied if the issuer has set the NoFreeze flag on their account, a safeguard that permanently disables freezing capabilities for that issuer’s tokens. This layered design ensures flexibility while prioritising compliance, making DeepFreeze a powerful tool for managing token ecosystems in regulated environments. The significance for Institutions. The significance of DeepFreeze becomes evident when viewed through an institutional lens. For financial entities—such as central banks issuing central bank digital currencies (CBDCs), or stablecoin providers like Ripple’s RLUSD, Societe Generale Group Forge’s EURCV, and Braza Bank’s BBRL—this feature offers a robust mechanism to enforce regulatory compliance. Consider a scenario where an account is identified on an international sanctions list, such as those maintained by the U.S. Office of Foreign Assets Control (OFAC Treasury Department). DeepFreeze allows the issuer to immediately halt all token activity for that account, preventing inflows or outflows that could violate anti-money laundering (AML) or know-your-customer (KYC) regulations. Beyond sanctions, DeepFreeze addresses fraud mitigation. If a stablecoin issuer detects suspicious activity—a hacked account attempting to siphon funds—they can deep-freeze it, stopping the damage while investigations unfold. A article underscores this utility, noting that the standard freeze’s limitation—allowing incoming transfers—falls short for high-stakes compliance needs. DeepFreeze’s total lockdown fills this gap, enhancing security and trust. This capability could attract major regulated entities like Circle, issuer of USDC, to deploy stablecoins on the XRPL, drawn by its compliance-ready infrastructure. Such adoption would increase token volume, liquidity, and the ledger’s utility for real-world asset tokenization—think real estate or commodities—positioning the XRPL as a leader in institutional blockchain applications. The Technical Mechanics. (This is a bit technical) Let’s examine the technical architecture underpinning DeepFreeze, which introduces specific flags to the XRPL’s ledger structure. These flags, detailed in the XRPL documentation, govern trust lines—the bilateral agreements between accounts that enable token holding—and enforce the freeze’s effects. Here’s how they work: The lsfLowDeepFreeze flag is set on the RippleState object to indicate that the low account in a trust line is deep-frozen. This prevents the high account from sending or receiving the token along that trust line, effectively severing its transactional capability. Conversely, the lsfHighDeepFreeze flag marks the high account as deep-frozen, blocking the low account from similar activities. This bidirectional control ensures symmetry in enforcement. In TrustSet transactions, issuers use the tfSetDeepFreeze flag, to apply the DeepFreeze to a specific trust line, activating the lockdown. To reverse this, the tfClearDeepFreeze flag is invoked in a TrustSet transaction, restoring normal functionality to the trust line. These flags have sweeping effects across XRPL operations. Payments to a deep-frozen account fail outright, with the transaction engine returning a tecDSTfrozen error if the destination is locked. Rippling—where tokens pass through intermediary accounts—ceases for deep-frozen trust lines, halting multi-hop transfers. On the decentralized exchange (DEX) and automated market maker (AMM) systems, OfferCreate transactions involving a deep-frozen TakerPays token fail with a tecFROZEN error, and existing offers tied to frozen accounts are implicitly canceled when crossed by new offers, rendering them unfunded. The GitHub discussion at XRPLF/XRPL-Standards #220 adds further nuance, noting impacts on Check transactions—a feature for deferred payments. CheckCash fails if the recipient’s trust line is deep-frozen, protecting against unauthorized redemption, though CheckCreate and CheckCancel remain unaffected, preserving issuer flexibility. This granular control reflects DeepFreeze’s design for precision in compliance-driven scenarios. Community Development. The development of DeepFreeze highlights the XRPL community’s collaborative strength. On August 26, 2024, Shawn Xie of Ripple initiated the XLS-77d proposal in a GitHub discussion, accessible at XRPLF/XRPL-Standards #220. Spanning six comments and seven replies, the thread reveals active engagement. One participant (Wietse Wind - 🪝☝️🛠 Xaman® + XRPL + Xahau) suggested renaming ‘blackholing’—disabling an account permanently—to ‘permafrosting,’ arguing it better conveys the frozen state’s permanence and aligns with DeepFreeze’s theme. This linguistic refinement, while minor, exemplifies community influence on usability. Technical clarifications also emerged. The discussion distinguishes DeepFreeze from GlobalFreeze, which freezes all trust lines for an issuer’s tokens, noting that DeepFreeze targets specific trust lines for finer control. A question arose about rare cases where the standard tfSetFreeze might suffice—such as temporary holds—but the consensus favored DeepFreeze’s comprehensive approach for most compliance needs. The proposal, now in draft status, was merged into the rippled software codebase via pull request XRPLF/rippled #5187, confirming its deployment readiness as of March 19, 2025. This milestone underscores XRPL’s commitment to evolving through community-driven innovation. The Institutional Impact. From an institutional standpoint, DeepFreeze addresses critical gaps in the standard freeze’s functionality. The article explains that the older mechanism, while useful, permitted incoming transfers and balance adjustments, rendering it inadequate for scenarios requiring total isolation—such as sanctions enforcement or fraud containment. DeepFreeze’s ability to block all activity offers a superior solution, tailored to the demands of regulated finance. Consider its applications: a stablecoin issuer like Ripple could deep-freeze an account suspected of laundering funds, halting its operations pending review. A tokenized real estate platform could use it to secure assets during legal disputes, ensuring no unauthorized transfers occur. For sanctions, it ensures compliance with global frameworks, preventing tokens from reaching blacklisted entities. These use cases enhance the XRPL’s appeal to institutional players, potentially drawing Circle’s USDC or other major stablecoins to the ledger. The ripple effect—pardon the pun—could be substantial. Increased institutional adoption would boost token issuance, trading volume, and liquidity, reinforcing XRPL’s infrastructure for real-world asset tokenization. This aligns with broader trends in blockchain finance, where compliance-ready platforms are increasingly favored by traditional institutions seeking to integrate digital assets. Conclusion and Implications. In conclusion, DeepFreeze represents a strategic leap forward for the XRP Ledger, harmonizing technological sophistication with regulatory necessity. By equipping issuers with comprehensive control over their tokens, it addresses the compliance and security needs of institutional users, from stablecoin providers to asset tokenizers. As of March 19, 2025, its technical implementation is mature, its community support robust, and its potential to drive XRPL adoption undeniable. Looking ahead, DeepFreeze could position the XRPL as a premier blockchain for regulated financial applications, bridging the gap between decentralized innovation and centralized oversight. Its success will depend on validator adoption of the DeepFreeze amendment and real-world uptake by institutions—a process already underway. For a deeper understanding, refer to the XRPL documentation, the article, and the GitHub discussion linked below. DeepFreeze is more than a feature—it’s a foundation for the XRPL’s future in institutional finance. How do you envision its impact on the blockchain landscape? Your perspectives are welcome. PS: This is by far the most exciting amendment since XLS20, but of course, your average influencer doesn't talk about it in his paid group or while he is siphoning your donations. Unfollow them today. ################## Ressouces: XRPL Docs: XLS-77d: Devto Article: Misunderstandings about Freezes: Amendment voting: If you want to support what I do, follow me and buy me a beer or just use one of the CasinoCoin/LuckyHash 🪝 partners for recreational gaming: Check out my other explainers:
11:51

DeepFreeze on the XRP Ledger – A Comprehensive Examination We need to discuss an amendment that went unnoticed for a long time: DeepFreeze. If you are to lazy to read, just watch the video. Eminence is already voting for its activation, and I urge my fellow node operators and the community to support it. Let’s look at why. Welcome to a detailed examination of DeepFreeze, a transformative feature introduced to the XRP Ledger. This amendment is critical for institutional asset management within the ledger ecosystem. In this analysis, we’ll explore the full scope of DeepFreeze—its definition, technical architecture, institutional significance, community development, and long-term implications for XRPL’s role in financial systems. This is a deep dive into a feature that could redefine blockchain compliance and adoption. What exactly is DeepFreeze? DeepFreeze is an advanced asset-freezing mechanism integrated into the XRPL, tailored explicitly for fungible tokens issued on the ledger, such as stablecoins and tokenised real-world assets. Unlike XRP, which remains unaffected due to its native status, issued tokens fall under the control of their issuers, who can now leverage DeepFreeze for unprecedented oversight. The standard freeze, a pre-existing feature, restricts an account to only receiving tokens, preventing outward transfers. DeepFreeze, however, escalates this control by prohibiting both sending and receiving, effectively isolating the account from all token-related activities except direct transactions with the issuer. According to the XRPL documentation, available at DeepFreeze requires the activation of the DeepFreeze amendment—a network-wide upgrade voted on by XRPL validators. It cannot be applied if the issuer has set the NoFreeze flag on their account, a safeguard that permanently disables freezing capabilities for that issuer’s tokens. This layered design ensures flexibility while prioritising compliance, making DeepFreeze a powerful tool for managing token ecosystems in regulated environments. The significance for Institutions. The significance of DeepFreeze becomes evident when viewed through an institutional lens. For financial entities—such as central banks issuing central bank digital currencies (CBDCs), or stablecoin providers like Ripple’s RLUSD, Societe Generale Group Forge’s EURCV, and Braza Bank’s BBRL—this feature offers a robust mechanism to enforce regulatory compliance. Consider a scenario where an account is identified on an international sanctions list, such as those maintained by the U.S. Office of Foreign Assets Control (OFAC Treasury Department). DeepFreeze allows the issuer to immediately halt all token activity for that account, preventing inflows or outflows that could violate anti-money laundering (AML) or know-your-customer (KYC) regulations. Beyond sanctions, DeepFreeze addresses fraud mitigation. If a stablecoin issuer detects suspicious activity—a hacked account attempting to siphon funds—they can deep-freeze it, stopping the damage while investigations unfold. A article underscores this utility, noting that the standard freeze’s limitation—allowing incoming transfers—falls short for high-stakes compliance needs. DeepFreeze’s total lockdown fills this gap, enhancing security and trust. This capability could attract major regulated entities like Circle, issuer of USDC, to deploy stablecoins on the XRPL, drawn by its compliance-ready infrastructure. Such adoption would increase token volume, liquidity, and the ledger’s utility for real-world asset tokenization—think real estate or commodities—positioning the XRPL as a leader in institutional blockchain applications. The Technical Mechanics. (This is a bit technical) Let’s examine the technical architecture underpinning DeepFreeze, which introduces specific flags to the XRPL’s ledger structure. These flags, detailed in the XRPL documentation, govern trust lines—the bilateral agreements between accounts that enable token holding—and enforce the freeze’s effects. Here’s how they work: The lsfLowDeepFreeze flag is set on the RippleState object to indicate that the low account in a trust line is deep-frozen. This prevents the high account from sending or receiving the token along that trust line, effectively severing its transactional capability. Conversely, the lsfHighDeepFreeze flag marks the high account as deep-frozen, blocking the low account from similar activities. This bidirectional control ensures symmetry in enforcement. In TrustSet transactions, issuers use the tfSetDeepFreeze flag, to apply the DeepFreeze to a specific trust line, activating the lockdown. To reverse this, the tfClearDeepFreeze flag is invoked in a TrustSet transaction, restoring normal functionality to the trust line. These flags have sweeping effects across XRPL operations. Payments to a deep-frozen account fail outright, with the transaction engine returning a tecDSTfrozen error if the destination is locked. Rippling—where tokens pass through intermediary accounts—ceases for deep-frozen trust lines, halting multi-hop transfers. On the decentralized exchange (DEX) and automated market maker (AMM) systems, OfferCreate transactions involving a deep-frozen TakerPays token fail with a tecFROZEN error, and existing offers tied to frozen accounts are implicitly canceled when crossed by new offers, rendering them unfunded. The GitHub discussion at XRPLF/XRPL-Standards #220 adds further nuance, noting impacts on Check transactions—a feature for deferred payments. CheckCash fails if the recipient’s trust line is deep-frozen, protecting against unauthorized redemption, though CheckCreate and CheckCancel remain unaffected, preserving issuer flexibility. This granular control reflects DeepFreeze’s design for precision in compliance-driven scenarios. Community Development. The development of DeepFreeze highlights the XRPL community’s collaborative strength. On August 26, 2024, Shawn Xie of Ripple initiated the XLS-77d proposal in a GitHub discussion, accessible at XRPLF/XRPL-Standards #220. Spanning six comments and seven replies, the thread reveals active engagement. One participant (Wietse Wind - 🪝☝️🛠 Xaman® + XRPL + Xahau) suggested renaming ‘blackholing’—disabling an account permanently—to ‘permafrosting,’ arguing it better conveys the frozen state’s permanence and aligns with DeepFreeze’s theme. This linguistic refinement, while minor, exemplifies community influence on usability. Technical clarifications also emerged. The discussion distinguishes DeepFreeze from GlobalFreeze, which freezes all trust lines for an issuer’s tokens, noting that DeepFreeze targets specific trust lines for finer control. A question arose about rare cases where the standard tfSetFreeze might suffice—such as temporary holds—but the consensus favored DeepFreeze’s comprehensive approach for most compliance needs. The proposal, now in draft status, was merged into the rippled software codebase via pull request XRPLF/rippled #5187, confirming its deployment readiness as of March 19, 2025. This milestone underscores XRPL’s commitment to evolving through community-driven innovation. The Institutional Impact. From an institutional standpoint, DeepFreeze addresses critical gaps in the standard freeze’s functionality. The article explains that the older mechanism, while useful, permitted incoming transfers and balance adjustments, rendering it inadequate for scenarios requiring total isolation—such as sanctions enforcement or fraud containment. DeepFreeze’s ability to block all activity offers a superior solution, tailored to the demands of regulated finance. Consider its applications: a stablecoin issuer like Ripple could deep-freeze an account suspected of laundering funds, halting its operations pending review. A tokenized real estate platform could use it to secure assets during legal disputes, ensuring no unauthorized transfers occur. For sanctions, it ensures compliance with global frameworks, preventing tokens from reaching blacklisted entities. These use cases enhance the XRPL’s appeal to institutional players, potentially drawing Circle’s USDC or other major stablecoins to the ledger. The ripple effect—pardon the pun—could be substantial. Increased institutional adoption would boost token issuance, trading volume, and liquidity, reinforcing XRPL’s infrastructure for real-world asset tokenization. This aligns with broader trends in blockchain finance, where compliance-ready platforms are increasingly favored by traditional institutions seeking to integrate digital assets. Conclusion and Implications. In conclusion, DeepFreeze represents a strategic leap forward for the XRP Ledger, harmonizing technological sophistication with regulatory necessity. By equipping issuers with comprehensive control over their tokens, it addresses the compliance and security needs of institutional users, from stablecoin providers to asset tokenizers. As of March 19, 2025, its technical implementation is mature, its community support robust, and its potential to drive XRPL adoption undeniable. Looking ahead, DeepFreeze could position the XRPL as a premier blockchain for regulated financial applications, bridging the gap between decentralized innovation and centralized oversight. Its success will depend on validator adoption of the DeepFreeze amendment and real-world uptake by institutions—a process already underway. For a deeper understanding, refer to the XRPL documentation, the article, and the GitHub discussion linked below. DeepFreeze is more than a feature—it’s a foundation for the XRPL’s future in institutional finance. How do you envision its impact on the blockchain landscape? Your perspectives are welcome. PS: This is by far the most exciting amendment since XLS20, but of course, your average influencer doesn't talk about it in his paid group or while he is siphoning your donations. Unfollow them today. ################## Ressouces: XRPL Docs: XLS-77d: Devto Article: Misunderstandings about Freezes: Amendment voting: If you want to support what I do, follow me and buy me a beer or just use one of the CasinoCoin/LuckyHash 🪝 partners for recreational gaming: Check out my other explainers:

Daniel "CEO of the XRPL" Keller

163,345 Aufrufe • vor 1 Jahr

Hello Cardano community! We are DeltaDeFi, we are here to connect liquidity across the CeFi and DeFi worlds, bringing more CeFi liquidity and trading activities to Cardano💙 To understand why we do what we do, let's first look at Cardano's DeFi history and evolution. Since Alonzo in late 2021, Cardano smart contract capability has been officially live. We faced a period of struggle implementing AMM DEX due to the technical difference between the eUTxO model and the account-based blockchain model. Thanks to early pioneers like Minswap Labs, Sundae Labs 🍨 etc, batcher was then introduced as a solution making the AMM model possible on Cardano. Still, scalability is a bottleneck for Cardano DEX. Then it came to the Vasil hardfork in late 2022, which introduced inline datum, reference script, and reference input. In short, these are all upgrades enabling more efficient smart contracts. Cardano DeFi performance is boosted with examples like the latest Minswap V2, and Sundae V3. Where we are at today in terms of Cardano DeFi - the technology is ready, but the liquidity issue is the next challenge under the spotlight. The DApp utilization of Cardano is in general lower than other L1s as hinted by multiple metrics such as trading volumes and TVL, it hinders the growth of Cardano ecosystem in general. To solve it, we want to bring external liquidity, and we are looking at CeFi liquidity on centralized exchanges. We plan to onboard CeFi traders and bring them to trade on-chain in Cardano. CeFi here is defined as crypto-ready users conducting their trade in centralized exchanges. The daily trading volume of $ADA at the current price amounts to ~250m USD, with only around 1% happening natively on the Cardano blockchain and the rest happening in CEXes such as Binance. Even if we only onboard a further 1% of that trading volume onto Cardano. There’s already 2X of current liquidity! The $ADA volume is only less than 1% of total CeFi market. Massive opportunities ahead! How do we bring CeFi liquidity on-chain? What do the CeFi traders care about the most? The current biggest challenge for CeFi traders is fund safety. With the collapses of FTX, BlockFi, CeFi traders suffered significant losses of their assets, amounting to 46 billion USD. Unsurprisingly, CeFi liquidity is in search of a solution without platform risk, at the same time, they still want a similar experience with trading on centralized exchanges. TLDR: CeFi liquidity is looking for CeFi trading experience with enhanced fund safety That is why we are building DeltaDeFi to onboard CeFi liquidity, and here's how we are doing it: 🔷 1. Zero order management fee (zero transaction fee placing and canceling orders), transaction fees only occur when your order is matched - In CeFi, traders place multiple orders and cancel multiple orders within a second when they receive market signals from their proprietary sources. Even 0.01 ADA charged on each action makes their trades cost-prohibitive. 🔷 2. Instant order confirmation - DeltaDeFi also makes high-frequency trading (HFT) possible, where a trading pattern could make profits out of 5bps of price advantage. That’s why it is crucial to confirm the trades at the time of signing the transaction so that their 5bps profit margin strategy would not be affected by the market price movement in the next second. 🔷 3. Programmatic access - Programmatic access enables CEFI traders to deploy customized trading strategies, including HFT. to the platform, accompanied by the 2 features above. 🔷 4. Everything non-custodial - On top of all the features CeFi liquidity requesting above, trading on DeltaDeFi is fully non-custodial - it means our platform cannot move any of our users’ funds with their private key signing on the transactions, compared to CEXes controlling their assets. All the features above satisfy the needs of CeFi to trade on Cardano. While achieving the above will excite CeFi traders and likely bring more liquidity, it comes with trade-offs: 🔸 We adopt a radical approach to process all orders-matching off-chain. To increase transparency and audibility, we enable users to pull the immutable full market records for reconciliation, auditing whether our off-chain engine is performing as we promised 🔸 Each order has to be at least 500 ADA's worth to cover the Plutus script running cost charged by the Cardano blockchain, to reduce the trading fee to as low as 10 basis points (0.1%, same as Binance’s maker fee). Here’s where we are now: we have just wrapped up our first round of private alpha-testing, receiving valuable feedback and improving our product. Soon we will announce the public alpha-testing round. In about 3 months, followed by a beta with an incentivized trading game and then we go mainnet! Here’s how you can be involved. We are rolling out the 2nd alpha testing very soon. With that, you can taste what the CeFi experience feels like on DeFi. Also, you would be the first one to have hands-on experience trading on our platform, gaining an advantage on our next incentivized beta testing! We will announce alpha testing access on twitter in about a month. Follow our Twitter and stay tuned! #Cardano
0:49

Hello Cardano community! We are DeltaDeFi, we are here to connect liquidity across the CeFi and DeFi worlds, bringing more CeFi liquidity and trading activities to Cardano💙 To understand why we do what we do, let's first look at Cardano's DeFi history and evolution. Since Alonzo in late 2021, Cardano smart contract capability has been officially live. We faced a period of struggle implementing AMM DEX due to the technical difference between the eUTxO model and the account-based blockchain model. Thanks to early pioneers like Minswap Labs, Sundae Labs 🍨 etc, batcher was then introduced as a solution making the AMM model possible on Cardano. Still, scalability is a bottleneck for Cardano DEX. Then it came to the Vasil hardfork in late 2022, which introduced inline datum, reference script, and reference input. In short, these are all upgrades enabling more efficient smart contracts. Cardano DeFi performance is boosted with examples like the latest Minswap V2, and Sundae V3. Where we are at today in terms of Cardano DeFi - the technology is ready, but the liquidity issue is the next challenge under the spotlight. The DApp utilization of Cardano is in general lower than other L1s as hinted by multiple metrics such as trading volumes and TVL, it hinders the growth of Cardano ecosystem in general. To solve it, we want to bring external liquidity, and we are looking at CeFi liquidity on centralized exchanges. We plan to onboard CeFi traders and bring them to trade on-chain in Cardano. CeFi here is defined as crypto-ready users conducting their trade in centralized exchanges. The daily trading volume of $ADA at the current price amounts to ~250m USD, with only around 1% happening natively on the Cardano blockchain and the rest happening in CEXes such as Binance. Even if we only onboard a further 1% of that trading volume onto Cardano. There’s already 2X of current liquidity! The $ADA volume is only less than 1% of total CeFi market. Massive opportunities ahead! How do we bring CeFi liquidity on-chain? What do the CeFi traders care about the most? The current biggest challenge for CeFi traders is fund safety. With the collapses of FTX, BlockFi, CeFi traders suffered significant losses of their assets, amounting to 46 billion USD. Unsurprisingly, CeFi liquidity is in search of a solution without platform risk, at the same time, they still want a similar experience with trading on centralized exchanges. TLDR: CeFi liquidity is looking for CeFi trading experience with enhanced fund safety That is why we are building DeltaDeFi to onboard CeFi liquidity, and here's how we are doing it: 🔷 1. Zero order management fee (zero transaction fee placing and canceling orders), transaction fees only occur when your order is matched - In CeFi, traders place multiple orders and cancel multiple orders within a second when they receive market signals from their proprietary sources. Even 0.01 ADA charged on each action makes their trades cost-prohibitive. 🔷 2. Instant order confirmation - DeltaDeFi also makes high-frequency trading (HFT) possible, where a trading pattern could make profits out of 5bps of price advantage. That’s why it is crucial to confirm the trades at the time of signing the transaction so that their 5bps profit margin strategy would not be affected by the market price movement in the next second. 🔷 3. Programmatic access - Programmatic access enables CEFI traders to deploy customized trading strategies, including HFT. to the platform, accompanied by the 2 features above. 🔷 4. Everything non-custodial - On top of all the features CeFi liquidity requesting above, trading on DeltaDeFi is fully non-custodial - it means our platform cannot move any of our users’ funds with their private key signing on the transactions, compared to CEXes controlling their assets. All the features above satisfy the needs of CeFi to trade on Cardano. While achieving the above will excite CeFi traders and likely bring more liquidity, it comes with trade-offs: 🔸 We adopt a radical approach to process all orders-matching off-chain. To increase transparency and audibility, we enable users to pull the immutable full market records for reconciliation, auditing whether our off-chain engine is performing as we promised 🔸 Each order has to be at least 500 ADA's worth to cover the Plutus script running cost charged by the Cardano blockchain, to reduce the trading fee to as low as 10 basis points (0.1%, same as Binance’s maker fee). Here’s where we are now: we have just wrapped up our first round of private alpha-testing, receiving valuable feedback and improving our product. Soon we will announce the public alpha-testing round. In about 3 months, followed by a beta with an incentivized trading game and then we go mainnet! Here’s how you can be involved. We are rolling out the 2nd alpha testing very soon. With that, you can taste what the CeFi experience feels like on DeFi. Also, you would be the first one to have hands-on experience trading on our platform, gaining an advantage on our next incentivized beta testing! We will announce alpha testing access on twitter in about a month. Follow our Twitter and stay tuned! #Cardano

DeltaDeFi

14,954 Aufrufe • vor 1 Jahr

From Creator to Founder: The Rollercoaster Journey of Building Chatter Social Man, what a journey it’s been so far. Four years ago, I was just another creator, spending late nights on Clubhouse during the height of the pandemic. Like so many others, I was searching for connection, for community, for something meaningful. But what I found there wasn’t just connection—it was purpose. Alongside my brother, Jonathan Bing, we built a nightly show that reached over 5 million people. Imagine that: 5 million lives touched by conversations that felt real and unfiltered, all on a platform that at its peak had 10 million monthly active users. Clubhouse was magic. But then the decline began. Watching the platform struggle, I couldn’t help but reflect: what made it great? What went wrong? And what could the future look like if we did things differently? The Spark of Chatter As a content creator, I understood the needs of both creators and users. I knew what excited people, what kept them engaged, and what made them leave. Clubhouse had tapped into something special, but it had missed the mark on scalability and sustainability. By September 2023, I couldn’t stop thinking about the potential for something new—something that brought back the magic of real-time interaction but made it scalable, engaging, and sticky. And so, I set out to build Chatter Social. But I wasn’t a tech founder. I didn’t have a background in software development or a network of Silicon Valley insiders. What I did have was determination and the belief that if I could bring the right people together, we could build something extraordinary. Building the Team The journey to build Chatter started with assembling a team. Through my network from my days on Clubhouse, I found Samir, my first CTO. He believed in the vision and was instrumental in getting the project off the ground. Shortly after, I connected with Tyler, our Head of Design, whose creativity brought life to our ideas. A developer joined us soon after, and we were off to the races. By the end of 2023, Samir had to step away due to other commitments, and we promoted the developer to CTO. At the same time, I brought on Banko, a Sony music executive, as our CMO. Banko’s connections led to one of our biggest early wins: landing Davido, a global superstar, as an owner-ambassador. To this day, I still marvel at the fact that Davido believed in our vision when all we had were Tyler’s Figma designs. From Dream to Reality Early 2024 was a whirlwind. We hired Yurii and Vasyl, two developers from Ukraine who brought incredible skill and dedication to the team. Vasyl, in particular, stood out as a leader and has since earned an equity position in the company. But despite these wins, we were facing growing pains. Our new CTO struggled to meet deadlines, and as a result, I found myself constantly pushing back the launch date. What started as a January release turned into February, then March, then April, then May. By then, people on Twitter Spaces—where I had been hyping up the platform—started doubting if we even had a product. Launch and Lessons June 1, 2024, marked a turning point. It was the day my son Noah was born and the day we launched Chatter in private beta. We started with just 40 users, but by the end of the month, we had grown to 1,000. The engagement was unbelievable. Users loved it, even though we had launched with just one feature: live rooms. This represented less than 20% of what we had planned, but it was enough to show that we were onto something big. In July, we launched our public beta on the App Store as an invite-only platform. Within 48 hours, Chatter ranked as a top 30 social app in over 30 countries. But our invite system throttled access, and most users couldn’t get in. While engagement metrics soared for those inside, our AWS costs exploded. In August, our AWS bill hit $10,000. By September, it had climbed to $15,000, and we were drowning in bugs and glitches. The breaking point came when our CTO became unresponsive, often disappearing during critical moments. Users were dropping off, frustrated by the issues, developers were confused and the team was also growing increasingly frustrated, I made the tough decision to let him go. A New Beginning Enter Horane, a long-time user of Chatter who had been with us since private beta. He was the first to discover some of the most innovative use cases for the platform and had a deep passion for its potential. After meeting him in person at a Chatter event, I knew he was the right person to step into the CTO role. When Horane took over, we discovered just how bad the situation was. Key areas of the codebase were locked, and there were no separate environments for development and production. Every fix seemed to break something else. But through sheer determination and countless 18-hour days, Horane stabilized the platform. Today, Chatter is far from perfect, but it’s stable. The bugs that plagued us have been reduced to moderate issues, and our core users—those who stuck with us through the chaos—are still engaged on the platform. Looking Ahead: Chatter V2 While the platform is stable now, we’ve shifted our focus to Chatter V2. This is where the magic really begins. V2 isn’t just an improvement; it’s a complete reimagining of the platform. It includes all the features we couldn’t release in V1 because we were too busy putting out fires. Imagine this: Chatter V1, with only one live feature, was incredibly sticky. Now think about what happens when we release a fully loaded platform with all the innovative features we’ve been working on behind the scenes. The possibilities are endless. V2 is slated to hit TestFlight by the end of December, with a public release in January 2025. And this time, we’re ready—not just with the product but with the lessons we’ve learned. The Hard Lessons This journey has taught me more than I ever thought possible: 1) Your Team is Everything: The right people can make or break your vision. Finding people who believe in your mission is just as important as finding people with the right skills. 2) Adaptability is Key: As a non-technical founder, I had to learn about development, DevOps, and product management on the fly. Challenges will push you to grow, whether you’re ready or not. 3) Trust the Process: Every setback, every delay, every bug—it all taught us something. Without those lessons, we wouldn’t be building the incredible V2 product we are today. 4) Resilience is Non-Negotiable: From technical disasters to predatory investors who tried to exploit my desperation, I’ve had to fight for this vision every step of the way. What’s Next December is shaping up to be an exciting month. We have some amazing events planned on the platform to close out the year, bringing our core community together as we prepare for the V2 launch. When V2 drops, it will mark a new era for Chatter. This isn’t just a social audio platform or a social audiovisual platform. Chatter is all about interactive experiences—making social media social again in ways that are truly unique. The public launch is slated for February 2025, and for the first time, we’ll have the marketing dollars to tell the world about Chatter. Our core community has been our biggest cheerleaders, and I can’t wait to see how the world reacts when they experience what we’ve built. Final Thoughts This has been the hardest year of my life, but also the most rewarding. To other founders, or anyone thinking about starting a company: know this—it will test you in ways you can’t imagine. You’ll face betrayal, doubt, and moments where you feel like giving up. But if you believe in your vision and refuse to quit, you’ll find a way forward. Thank you to everyone who has supported me, my team, and Chatter. We’re just getting started. Let’s talk about it. 🚀 If this story inspired you, please like and share it so others can learn from my experiences. The journey is far from over, but I’m more excited than ever for what’s to come.
0:25

From Creator to Founder: The Rollercoaster Journey of Building Chatter Social Man, what a journey it’s been so far. Four years ago, I was just another creator, spending late nights on Clubhouse during the height of the pandemic. Like so many others, I was searching for connection, for community, for something meaningful. But what I found there wasn’t just connection—it was purpose. Alongside my brother, Jonathan Bing, we built a nightly show that reached over 5 million people. Imagine that: 5 million lives touched by conversations that felt real and unfiltered, all on a platform that at its peak had 10 million monthly active users. Clubhouse was magic. But then the decline began. Watching the platform struggle, I couldn’t help but reflect: what made it great? What went wrong? And what could the future look like if we did things differently? The Spark of Chatter As a content creator, I understood the needs of both creators and users. I knew what excited people, what kept them engaged, and what made them leave. Clubhouse had tapped into something special, but it had missed the mark on scalability and sustainability. By September 2023, I couldn’t stop thinking about the potential for something new—something that brought back the magic of real-time interaction but made it scalable, engaging, and sticky. And so, I set out to build Chatter Social. But I wasn’t a tech founder. I didn’t have a background in software development or a network of Silicon Valley insiders. What I did have was determination and the belief that if I could bring the right people together, we could build something extraordinary. Building the Team The journey to build Chatter started with assembling a team. Through my network from my days on Clubhouse, I found Samir, my first CTO. He believed in the vision and was instrumental in getting the project off the ground. Shortly after, I connected with Tyler, our Head of Design, whose creativity brought life to our ideas. A developer joined us soon after, and we were off to the races. By the end of 2023, Samir had to step away due to other commitments, and we promoted the developer to CTO. At the same time, I brought on Banko, a Sony music executive, as our CMO. Banko’s connections led to one of our biggest early wins: landing Davido, a global superstar, as an owner-ambassador. To this day, I still marvel at the fact that Davido believed in our vision when all we had were Tyler’s Figma designs. From Dream to Reality Early 2024 was a whirlwind. We hired Yurii and Vasyl, two developers from Ukraine who brought incredible skill and dedication to the team. Vasyl, in particular, stood out as a leader and has since earned an equity position in the company. But despite these wins, we were facing growing pains. Our new CTO struggled to meet deadlines, and as a result, I found myself constantly pushing back the launch date. What started as a January release turned into February, then March, then April, then May. By then, people on Twitter Spaces—where I had been hyping up the platform—started doubting if we even had a product. Launch and Lessons June 1, 2024, marked a turning point. It was the day my son Noah was born and the day we launched Chatter in private beta. We started with just 40 users, but by the end of the month, we had grown to 1,000. The engagement was unbelievable. Users loved it, even though we had launched with just one feature: live rooms. This represented less than 20% of what we had planned, but it was enough to show that we were onto something big. In July, we launched our public beta on the App Store as an invite-only platform. Within 48 hours, Chatter ranked as a top 30 social app in over 30 countries. But our invite system throttled access, and most users couldn’t get in. While engagement metrics soared for those inside, our AWS costs exploded. In August, our AWS bill hit $10,000. By September, it had climbed to $15,000, and we were drowning in bugs and glitches. The breaking point came when our CTO became unresponsive, often disappearing during critical moments. Users were dropping off, frustrated by the issues, developers were confused and the team was also growing increasingly frustrated, I made the tough decision to let him go. A New Beginning Enter Horane, a long-time user of Chatter who had been with us since private beta. He was the first to discover some of the most innovative use cases for the platform and had a deep passion for its potential. After meeting him in person at a Chatter event, I knew he was the right person to step into the CTO role. When Horane took over, we discovered just how bad the situation was. Key areas of the codebase were locked, and there were no separate environments for development and production. Every fix seemed to break something else. But through sheer determination and countless 18-hour days, Horane stabilized the platform. Today, Chatter is far from perfect, but it’s stable. The bugs that plagued us have been reduced to moderate issues, and our core users—those who stuck with us through the chaos—are still engaged on the platform. Looking Ahead: Chatter V2 While the platform is stable now, we’ve shifted our focus to Chatter V2. This is where the magic really begins. V2 isn’t just an improvement; it’s a complete reimagining of the platform. It includes all the features we couldn’t release in V1 because we were too busy putting out fires. Imagine this: Chatter V1, with only one live feature, was incredibly sticky. Now think about what happens when we release a fully loaded platform with all the innovative features we’ve been working on behind the scenes. The possibilities are endless. V2 is slated to hit TestFlight by the end of December, with a public release in January 2025. And this time, we’re ready—not just with the product but with the lessons we’ve learned. The Hard Lessons This journey has taught me more than I ever thought possible: 1) Your Team is Everything: The right people can make or break your vision. Finding people who believe in your mission is just as important as finding people with the right skills. 2) Adaptability is Key: As a non-technical founder, I had to learn about development, DevOps, and product management on the fly. Challenges will push you to grow, whether you’re ready or not. 3) Trust the Process: Every setback, every delay, every bug—it all taught us something. Without those lessons, we wouldn’t be building the incredible V2 product we are today. 4) Resilience is Non-Negotiable: From technical disasters to predatory investors who tried to exploit my desperation, I’ve had to fight for this vision every step of the way. What’s Next December is shaping up to be an exciting month. We have some amazing events planned on the platform to close out the year, bringing our core community together as we prepare for the V2 launch. When V2 drops, it will mark a new era for Chatter. This isn’t just a social audio platform or a social audiovisual platform. Chatter is all about interactive experiences—making social media social again in ways that are truly unique. The public launch is slated for February 2025, and for the first time, we’ll have the marketing dollars to tell the world about Chatter. Our core community has been our biggest cheerleaders, and I can’t wait to see how the world reacts when they experience what we’ve built. Final Thoughts This has been the hardest year of my life, but also the most rewarding. To other founders, or anyone thinking about starting a company: know this—it will test you in ways you can’t imagine. You’ll face betrayal, doubt, and moments where you feel like giving up. But if you believe in your vision and refuse to quit, you’ll find a way forward. Thank you to everyone who has supported me, my team, and Chatter. We’re just getting started. Let’s talk about it. 🚀 If this story inspired you, please like and share it so others can learn from my experiences. The journey is far from over, but I’m more excited than ever for what’s to come.

Nelson Epega

43,340 Aufrufe • vor 1 Jahr

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.
35:48

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

101,105 Aufrufe • vor 3 Monaten

A few words about the MANTRA | The EVM L1 for RWAs situation — from our perspective. BlockHunters has been a validator and community builder for MANTRA since even BlockHunters was LIVE. We’ve supported the mission of bridging real-world finance with onchain infrastructure, and we’ve witnessed the team’s resilience and responsiveness firsthand. This recent period has tested the strength of the community, but we believe it also highlights MANTRA’s willingness to listen, evolve, and act with integrity. We stand behind the project, its leadership, and its future — and we’re proud to continue building alongside them. Two weeks ago, the price of $OM — the native token of MANTRA Chain — suddenly crashed. People were confused and upset. Many thought the MANTRA team might have sold tokens, causing the drop. But according to current statements from the team, that is not what happened. What actually occurred was a liquidation cascade on centralized exchanges. That means some people who had borrowed money to hold $OM were automatically forced to sell when the price dipped — and that selling triggered more selling, like a chain reaction. The end result? A fast and painful crash. Understandably, the community was shaken. In response, MANTRA’s founder JP Mullin has made a public and symbolic commitment: he’s burning all of his 150 million $OM team tokens — permanently removing them from circulation to restore trust. BREAKING DOWN THE SITUATION – COMMUNITY-SOURCED SUMMARY A respected community member, Crypto Fundamentalist, shared a helpful breakdown of the current state of the $OM situation, based on JP’s public updates and community communications. Main takeaways: - No sales by the Mantra team during the price crash. - Evidence of large liquidations on centralized exchanges triggering a cascade. - A token buyback and supply burn program is coming. - JP has committed to burning his own allocation. - A dashboard with live token bucket balances is in the works. - Further transparency reports (including fundraising history) are expected. - Legal investigations are ongoing. - More clarity to come, especially from exchange-side data. 150 MILLION OM BURN – SYMBOLIC AND STRATEGIC JP Mullin has committed to burning his full 150 million OM token allocation. These tokens were originally staked at MANTRA’s mainnet launch in October 2024 to help secure the network. Here’s how it’s going down: - The tokens are currently unstaking - They will be sent to the burn address on April 29, 2025 - This burn will reduce the total supply of OM by 8.24% ON-CHAIN EFFECTS: APR BOOST FOR STAKERS Once the burn is complete: - Total Supply: Decreases from 1.82B → 1.67B OM - Staked Tokens: Decrease from 571.8M → 421.8M OM - Bonded Ratio: Drops from 31.47% → 25.30% - APR Increases: Stakers benefit directly from higher yields This move improves tokenomics while rewarding long-term participants in the ecosystem. TOKEN BUYBACK PROGRAM – STILL TO BE ANNOUNCED MANTRA is also planning an official token buyback and burn program, potentially targeting an additional 150 million OM. This would bring the total burn to 300 million OM, further reducing supply. While details are still in development, this initiative is expected to strengthen OM’s position in the market. WHAT IS MANTRA? MANTRA is a regulatory-compliant, real-world asset (RWA) Layer 1 blockchain. Built for developers, institutions, and the next wave of tokenized finance, MANTRA offers: - RWA tokenization infrastructure - Compliance modules and permissionless access - Interoperability with major blockchains MANTRA holds a VARA license from Dubai to operate as a Virtual Asset Exchange, Broker-Dealer, and Investment Management entity. JP'S OFFICIAL STATEMENT (25th April 2025) “This has been humbling. And heartbreaking. We need to take a moment to regroup and make sound decisions. I promise that our team won't rest until we've made this right.Every day, we continue to investigate what happened and develop plans to prevent it from happening again. Next week at TOKEN2049 in Dubai, I’ll be speaking and releasing concrete next steps for MANTRA — including enhanced governance, transparency reports, and the full execution of my token burn.We’re listening. We’re working around the clock. And we’re not backing down from the responsibility we owe to this community.”— JP Mullin 🫡🕉️ WE BACK MANTRA At BlockHunters, we’ve had the privilege of working closely with - across multiple collaborations and community efforts. Through the ups and downs, one thing has remained clear: MANTRA is building for the long term. Their transparent handling of recent events, commitment to decentralization, and push for token-holder alignment earns our full support. We stand behind MANTRA and their mission to redefine the tokenized asset space. Last year, we had the pleasure of welcoming JP on our podcast — long before this incident — for a deep dive into MANTRA’s vision, regulatory alignment, and the future of tokenized finance. 🫡🕉️
1:37

A few words about the MANTRA | The EVM L1 for RWAs situation — from our perspective. BlockHunters has been a validator and community builder for MANTRA since even BlockHunters was LIVE. We’ve supported the mission of bridging real-world finance with onchain infrastructure, and we’ve witnessed the team’s resilience and responsiveness firsthand. This recent period has tested the strength of the community, but we believe it also highlights MANTRA’s willingness to listen, evolve, and act with integrity. We stand behind the project, its leadership, and its future — and we’re proud to continue building alongside them. Two weeks ago, the price of $OM — the native token of MANTRA Chain — suddenly crashed. People were confused and upset. Many thought the MANTRA team might have sold tokens, causing the drop. But according to current statements from the team, that is not what happened. What actually occurred was a liquidation cascade on centralized exchanges. That means some people who had borrowed money to hold $OM were automatically forced to sell when the price dipped — and that selling triggered more selling, like a chain reaction. The end result? A fast and painful crash. Understandably, the community was shaken. In response, MANTRA’s founder JP Mullin has made a public and symbolic commitment: he’s burning all of his 150 million $OM team tokens — permanently removing them from circulation to restore trust. BREAKING DOWN THE SITUATION – COMMUNITY-SOURCED SUMMARY A respected community member, Crypto Fundamentalist, shared a helpful breakdown of the current state of the $OM situation, based on JP’s public updates and community communications. Main takeaways: - No sales by the Mantra team during the price crash. - Evidence of large liquidations on centralized exchanges triggering a cascade. - A token buyback and supply burn program is coming. - JP has committed to burning his own allocation. - A dashboard with live token bucket balances is in the works. - Further transparency reports (including fundraising history) are expected. - Legal investigations are ongoing. - More clarity to come, especially from exchange-side data. 150 MILLION OM BURN – SYMBOLIC AND STRATEGIC JP Mullin has committed to burning his full 150 million OM token allocation. These tokens were originally staked at MANTRA’s mainnet launch in October 2024 to help secure the network. Here’s how it’s going down: - The tokens are currently unstaking - They will be sent to the burn address on April 29, 2025 - This burn will reduce the total supply of OM by 8.24% ON-CHAIN EFFECTS: APR BOOST FOR STAKERS Once the burn is complete: - Total Supply: Decreases from 1.82B → 1.67B OM - Staked Tokens: Decrease from 571.8M → 421.8M OM - Bonded Ratio: Drops from 31.47% → 25.30% - APR Increases: Stakers benefit directly from higher yields This move improves tokenomics while rewarding long-term participants in the ecosystem. TOKEN BUYBACK PROGRAM – STILL TO BE ANNOUNCED MANTRA is also planning an official token buyback and burn program, potentially targeting an additional 150 million OM. This would bring the total burn to 300 million OM, further reducing supply. While details are still in development, this initiative is expected to strengthen OM’s position in the market. WHAT IS MANTRA? MANTRA is a regulatory-compliant, real-world asset (RWA) Layer 1 blockchain. Built for developers, institutions, and the next wave of tokenized finance, MANTRA offers: - RWA tokenization infrastructure - Compliance modules and permissionless access - Interoperability with major blockchains MANTRA holds a VARA license from Dubai to operate as a Virtual Asset Exchange, Broker-Dealer, and Investment Management entity. JP'S OFFICIAL STATEMENT (25th April 2025) “This has been humbling. And heartbreaking. We need to take a moment to regroup and make sound decisions. I promise that our team won't rest until we've made this right.Every day, we continue to investigate what happened and develop plans to prevent it from happening again. Next week at TOKEN2049 in Dubai, I’ll be speaking and releasing concrete next steps for MANTRA — including enhanced governance, transparency reports, and the full execution of my token burn.We’re listening. We’re working around the clock. And we’re not backing down from the responsibility we owe to this community.”— JP Mullin 🫡🕉️ WE BACK MANTRA At BlockHunters, we’ve had the privilege of working closely with - across multiple collaborations and community efforts. Through the ups and downs, one thing has remained clear: MANTRA is building for the long term. Their transparent handling of recent events, commitment to decentralization, and push for token-holder alignment earns our full support. We stand behind MANTRA and their mission to redefine the tokenized asset space. Last year, we had the pleasure of welcoming JP on our podcast — long before this incident — for a deep dive into MANTRA’s vision, regulatory alignment, and the future of tokenized finance. 🫡🕉️

BlockHunters

61,227 Aufrufe • vor 1 Jahr

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
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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

Daniel Veroc

50,006 Aufrufe • vor 1 Jahr

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.
35:48

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 Aufrufe • vor 2 Monaten

Hyperspace: The Agentic OS Apple Should Have Built On December 19th, 2024, we announced the world’s first Agentic Browser. What followed was a movement — a new category was born which led to many early products in this space and recently the hundreds of people lining up outside the The Agentic Browser Summit in San Francisco underscored that. Silicon Valley instinctively gets it, from students to tech executives, people can feel a revolutionary new change in computing is in the air. Past year taught us why such a product was inevitable, a hard engineering effort, and also the last mover in the entire software world this decade if and when done right. All paths are headed in the same direction: one tool which orchestrates them all. At Hyperspace we showed that path with essays and products we launched in earlier months: from a spatial UI of orchestrating agents, to showcasing transparent activity in how the AI system operates which leads to user trust, to presenting the software end-game, which massively improves human productivity. We also built the world’s largest AI network, drawing participation from people in almost 6000 cities around the world contributing their machines as nodes in the network. Think Uber, but for AI. That is, planetary-scale. And now we are stretching this industry ambition further with our end-to-end vision of the Agentic Supercomputer, the first breakthrough new AI OS, and an effort which spans from AI research to distributed systems to inventing a new UI to inventing a new business model to complement it. All of this together helps us in serving our mission, of delivering “Everyone’s Personal Supercomputer”. While others have built AI-native browsers, no one though has built something agentic from the ground up — with AI as the foundation, not a feature. How do you fundamentally improve the lives’ of billions around the world ? We believe that requires building a native environment for agents to be viewed, created, deployed, executed, discovered and priced in. That is a world where we move on from static apps, to dynamic agents. But, as my 2 year old niece likes to ask: “but why ?” The issue is that the world of software today is fragmented, and everyone is sprinkling on AI as a feature and charging a subscription fees for it. From browser makers, to IDEs, to design and other productivity tools. This leads to a fragmented UX, where people have to learn to use AI in each app, their memory and other context is not shared between all these apps, and they also have to pay separately for compute for each such AI-enhanced app. Each app maker has to figure out basics such as compute, and leads to the issues we saw with Cursor pricing recently. This is not the future. What if AI was the foundation instead of a feature ? What if Apple had built a fundamentally new AI OS from the ground up and what would it have looked like ? At Hyperspace, that is what we did. On July 15th we introduced three breakthrough key pillars of our AI OS: 1. Agentic Browser 2. Agentic Memory 3. Agentic Payments And we didn’t stop there. We also introduced a breakthrough new user interface called the Spatial AI which is inspired both from the spreadsheet and the HyperCard - each card is an agent, with it’s own inputs and outputs, endlessly extensible and pluggable with others, just like cells of a spreadsheet. Update one cell and all the dependents update, like a spreadsheet formula. It goes beyond a static linear workflow to being able to operate in all directions. This revolutionary new interface helps manage all of the below: 1. Multiple websites being browsed in parallel 2. Multiple desktop apps being browsed in parallel 3. Multiple server tools being used in parallel 4. Multiple smartphone apps streamed to your device or opened via an emulator All the software which you need comes together in this one seamless, agent-native interface. This interface provides you access to the largest network of models, vectors, agents and compute on the planet. The Browser. The IDE. The Notepad… they are not separate products: they are all in one, the Agentic Browser. As Steve Jobs famously said at the iPhone announcement, “are you getting it ?” And beneath this UI lies a new intelligence routing layer — leveraging both swarms of specialized models to the Hyperspace Matrix model that recalls thousands of tools in real-time, not by context window hacks, but through retrieval, ranking, and reuse. To many, this will feel like AGI. Not one big system by one big company, but an intelligent network. Now lets talk about privacy… Are you comfortable with one company owning all your memory forever ? I am not. So we have invented Agentic Memory as a new open protocol which provides full power over memory to you, the user. Your memory is yours, encrypted, on your device, and portable if and how you want. Anyone can build on it without our permission, but not without your permission. This protocol, and the decentralized vector database spread out across the world, would enable apps and agents to share context and memory. Think copy-paste, but for the AI world. It doesn’t just remember — it knows what matters. VectorRank helps your AI weigh your life’s most relevant moments over time, just like the way our minds elevate memories. Now each time you use an agent, your experience with other agents will also continuously improve: you don’t have to keep repeating the same things about yourself, while fully preserving your privacy. Agentic Memory is accessible within the Agentic Browser to manage. And there is one more thing… AI as the foundation requires compute to be available at the base layer, but this base layer spans models running on your own device, to cloud APIs, to also running across the peer-to-peer distributed network. Agentic Payments provides a singular interface to all of that compute, running a spot auction clearing marketplace every second to determine the fair price of compute. This results in price transparency, and you as the user paying the lowest possible cost. If you want predictability, you can reserve compute in advance. This end-to-end system provides the most streamlined world for agents to operate in. In order to enable this world and the world of agents being able to pay each other in sub-cent increments millions of times a second, we had to also invent a fundamentally new agentic micropayments blockchain. All of this together would enable a world where you as a user, or the agent itself, can efficiently call and utilize other agents built by others and also pay for content which is unique and useful. This enables a move away from the current AI exploitative economy for bloggers and other content creators, to a web with a fundamental new business model. Earlier we didn’t have the right infrastructure to enable such a world. Now, all the dots connect. The Hyperspace AI OS would give the power of a supercomputer in everyone’s hands. This isn’t a browser, or an IDE or limited to any device or cloud. It’s an entire AI operating system — with a breakthrough new spatial UI, local and distributed compute, agentic memory, agentic payments, and orchestration built into the foundation. As a user, we move the choice back in your hands with an experience you will love and find delightful. You get to choose the level of privacy, cost, and utility you want. And while Apple should have done it, we could not wait, and we feel this just required a new level of passion and DNA which we bring here. We are just getting started. Thank you, Varun Mathur Cofounder and CEO, Hyperspace cc Naval Marc Andreessen 🇺🇸 Vinod Khosla Andrej Karpathy Sam Altman
2:52

Hyperspace: The Agentic OS Apple Should Have Built On December 19th, 2024, we announced the world’s first Agentic Browser. What followed was a movement — a new category was born which led to many early products in this space and recently the hundreds of people lining up outside the The Agentic Browser Summit in San Francisco underscored that. Silicon Valley instinctively gets it, from students to tech executives, people can feel a revolutionary new change in computing is in the air. Past year taught us why such a product was inevitable, a hard engineering effort, and also the last mover in the entire software world this decade if and when done right. All paths are headed in the same direction: one tool which orchestrates them all. At Hyperspace we showed that path with essays and products we launched in earlier months: from a spatial UI of orchestrating agents, to showcasing transparent activity in how the AI system operates which leads to user trust, to presenting the software end-game, which massively improves human productivity. We also built the world’s largest AI network, drawing participation from people in almost 6000 cities around the world contributing their machines as nodes in the network. Think Uber, but for AI. That is, planetary-scale. And now we are stretching this industry ambition further with our end-to-end vision of the Agentic Supercomputer, the first breakthrough new AI OS, and an effort which spans from AI research to distributed systems to inventing a new UI to inventing a new business model to complement it. All of this together helps us in serving our mission, of delivering “Everyone’s Personal Supercomputer”. While others have built AI-native browsers, no one though has built something agentic from the ground up — with AI as the foundation, not a feature. How do you fundamentally improve the lives’ of billions around the world ? We believe that requires building a native environment for agents to be viewed, created, deployed, executed, discovered and priced in. That is a world where we move on from static apps, to dynamic agents. But, as my 2 year old niece likes to ask: “but why ?” The issue is that the world of software today is fragmented, and everyone is sprinkling on AI as a feature and charging a subscription fees for it. From browser makers, to IDEs, to design and other productivity tools. This leads to a fragmented UX, where people have to learn to use AI in each app, their memory and other context is not shared between all these apps, and they also have to pay separately for compute for each such AI-enhanced app. Each app maker has to figure out basics such as compute, and leads to the issues we saw with Cursor pricing recently. This is not the future. What if AI was the foundation instead of a feature ? What if Apple had built a fundamentally new AI OS from the ground up and what would it have looked like ? At Hyperspace, that is what we did. On July 15th we introduced three breakthrough key pillars of our AI OS: 1. Agentic Browser 2. Agentic Memory 3. Agentic Payments And we didn’t stop there. We also introduced a breakthrough new user interface called the Spatial AI which is inspired both from the spreadsheet and the HyperCard - each card is an agent, with it’s own inputs and outputs, endlessly extensible and pluggable with others, just like cells of a spreadsheet. Update one cell and all the dependents update, like a spreadsheet formula. It goes beyond a static linear workflow to being able to operate in all directions. This revolutionary new interface helps manage all of the below: 1. Multiple websites being browsed in parallel 2. Multiple desktop apps being browsed in parallel 3. Multiple server tools being used in parallel 4. Multiple smartphone apps streamed to your device or opened via an emulator All the software which you need comes together in this one seamless, agent-native interface. This interface provides you access to the largest network of models, vectors, agents and compute on the planet. The Browser. The IDE. The Notepad… they are not separate products: they are all in one, the Agentic Browser. As Steve Jobs famously said at the iPhone announcement, “are you getting it ?” And beneath this UI lies a new intelligence routing layer — leveraging both swarms of specialized models to the Hyperspace Matrix model that recalls thousands of tools in real-time, not by context window hacks, but through retrieval, ranking, and reuse. To many, this will feel like AGI. Not one big system by one big company, but an intelligent network. Now lets talk about privacy… Are you comfortable with one company owning all your memory forever ? I am not. So we have invented Agentic Memory as a new open protocol which provides full power over memory to you, the user. Your memory is yours, encrypted, on your device, and portable if and how you want. Anyone can build on it without our permission, but not without your permission. This protocol, and the decentralized vector database spread out across the world, would enable apps and agents to share context and memory. Think copy-paste, but for the AI world. It doesn’t just remember — it knows what matters. VectorRank helps your AI weigh your life’s most relevant moments over time, just like the way our minds elevate memories. Now each time you use an agent, your experience with other agents will also continuously improve: you don’t have to keep repeating the same things about yourself, while fully preserving your privacy. Agentic Memory is accessible within the Agentic Browser to manage. And there is one more thing… AI as the foundation requires compute to be available at the base layer, but this base layer spans models running on your own device, to cloud APIs, to also running across the peer-to-peer distributed network. Agentic Payments provides a singular interface to all of that compute, running a spot auction clearing marketplace every second to determine the fair price of compute. This results in price transparency, and you as the user paying the lowest possible cost. If you want predictability, you can reserve compute in advance. This end-to-end system provides the most streamlined world for agents to operate in. In order to enable this world and the world of agents being able to pay each other in sub-cent increments millions of times a second, we had to also invent a fundamentally new agentic micropayments blockchain. All of this together would enable a world where you as a user, or the agent itself, can efficiently call and utilize other agents built by others and also pay for content which is unique and useful. This enables a move away from the current AI exploitative economy for bloggers and other content creators, to a web with a fundamental new business model. Earlier we didn’t have the right infrastructure to enable such a world. Now, all the dots connect. The Hyperspace AI OS would give the power of a supercomputer in everyone’s hands. This isn’t a browser, or an IDE or limited to any device or cloud. It’s an entire AI operating system — with a breakthrough new spatial UI, local and distributed compute, agentic memory, agentic payments, and orchestration built into the foundation. As a user, we move the choice back in your hands with an experience you will love and find delightful. You get to choose the level of privacy, cost, and utility you want. And while Apple should have done it, we could not wait, and we feel this just required a new level of passion and DNA which we bring here. We are just getting started. Thank you, Varun Mathur Cofounder and CEO, Hyperspace cc Naval Marc Andreessen 🇺🇸 Vinod Khosla Andrej Karpathy Sam Altman

Varun

158,712 Aufrufe • vor 1 Jahr

If you watch this ~50 minute screen recording closely (yeah, I know, it's long; there are also some times when my computer was very slow and laggy, just skip past that part. And at one point I had to run and get my 9-month-old a new bottle and left it on a boring screen, sorry!), I believe you can see real signs of the kind of runaway, recursive AI self-improvement that people have been warning of for a while (Mr. Kurzweil most notably and prophetically). Why do I say that? What's different now? Well, there's a reason my set of agent coding tooling is called the Flywheel. These tools all mutually self-reinforce each other. And they all flow directly into my ntm tool (short for "named_tmux_manager"), which acts as a sort of integration point and nerve center for the tools (this is becoming more true by the minute as I'm now seriously working on ntm). Now, ntm was something I started making to automate some aspects of my workflow, but it was the kind of thing where, until it was perfect, it sort of just slowed me down. So I didn't actually use it even though I kept working on it and trying to improve it, and suggested to users that they try it in my tutorials. Well anyway, I finally got around to "dogfooding" ntm last night, and now it's going to get very dramatically better at an alarming rate. Some of that is from applying my "idea wizard" prompt to generate more useful features and building that stuff out and addressing obvious pain points I encountered during my newfound usage of the tool. But a lot comes from my realization that, once again, ntm's true utility is not as a tool for ME, but for an agent. That is, ntm lets one instance of Claude Code or Codex act as, well, me, do the things that I had been doing manually. Do I wish I had started using ntm earlier? No, for two big reasons: 1) Doing it manually helped me build up my intuition massively, which directly led me down the path of creating useful prompt strategies and workflows; these often began as ad-hoc prompts that I realized could be generalized and made more versatile/universal. Lesson: don't prematurely automate until you have an intimate, intuitive feel for your "core value-add loop." Otherwise you'll have a fully automated system quickly that efficiently and automatically does a stupid or otherwise sub-optimal thing. 2) My eyes have been opened to the beauty and power of Skills. I'm not talking about your garden-variety skills that are just a simple markdown file. I'm talking about true tour-de-force directories of perfectly structured and organized files that are filled with good information, insights, workflows, etc., but presented in a way that is highly optimized for consumption by AI agents, with extreme attention paid to things like perfect progressive disclosure, token density, agent-ergonomics, agent-intuitiveness, etc. And also Skills that go way beyond markdown files, with full integration into Claude Code where it makes sense via hooks, sub-agents, and even Python scripts. These kinds of skills are a qualitative difference in expressive power and usefulness and a total game changer. They are also effectively composable, creating almost an algebra of skills that let you use them together in powerful ways. I'm working on a subscription service website and CLI tool now to share what I've learned here most effectively, stay tuned for that in the coming days. Anyway, I now know what to make and how to make it. So, getting back to that screen recording, what does it show that makes me claim recursive self-improvement is here? If you keep your eye on the upper left tmux pane, that's the "controller" agent. It is using ntm to control all the other panes which are also running Claude Code (but ntm fully supports other agent types like Codex and Gemini-CLI, and it's trivially easy to mix and match them if you wanted to have, say, 8 CCs and 6 Codexes for writing the code and 3 Gemini-CLIs for reviewing code.) Now, there's nothing that crazy about this much so far. But where it starts to get very cool is that as the session continues and we encounter real-world problems, things like my ridiculously overloaded computer that keeps hanging for long periods, Claude Code instances that crash and get into a frozen, unresponsive state, it can learn from that. And you can see it using my skill writing skill to refine its ntm vibe coding skill in real time. And then take that skill and refine it to be more intuitive for itself. Or use my cass tool skill to search all the session histories to look for problems that came up and strategize how to solve them. The most useful part was when, towards the end of the session, I told it to reflect on all the things we had done and problems we encountered. One way it can usefully leverage those reflections is by improving its ntm vibe coding skill to make it cover more edge cases and exigencies. But the other, more fundamental, way is for it to conceive of and design the optimal new features and functionality for ntm itself so that the tool embodies those lessons in a first-class way. This offloads cognition from its brain onto its tooling, just like how a person can lean on spellcheck or a calculator. It codifies correct, effective reasoning at the tool level, where it's more reliable and robust and repeatable. And btw, did you notice what code base it was working on the whole time? It was none other than ntm itself! So as it worked on its own tool, it had reflections and ideas about how to further improve the tool. Now, it could have just as easily gotten those insights and ideas while using ntm to work on a different project, but the fact that it was working on itself is almost gloriously meta and recursive. So by the end, after learning from tending to a big group of agent workers (btw, I have previously emphasized doing everything in a really distributed/decentralized way, where each fungible agent gets identical marching orders that tell it to use my bv tool to find the optimal bead to work on. This does work very well, but occasionally results in some contention and overlap from thundering herd, or at least wastes time/tokens/communication in avoiding that before the agents waste time duplicating work. But in this new ntm-oriented workflow, I was able to have the controller agent in the upper left use bv itself and then optimally parcel out the instructions to each agent so that we could know for sure that there's no overlap), I ended up with a ton of new beads for new features, which I had it optimize and polish a few times. Now I can swap to a new Claude Max account and have the swarm implement all those new features! It should only take a couple passes like the one shown in the screen recording to get everything implemented. Then we can rinse and repeat, having the agent read through the full session histories of each agent and its experience from its own session in sending ntm commands and seeing how they worked out in practice, to come up with the next batch of changes to both its ntm vibe coding skill AND to the ntm tool itself. Do you see how rapidly this turns into Skynet? My mistake earlier was in focusing on making myself a "faster horse" as Henry Ford used to joke about customers wanting before he showed them what they should really want (a Model T). That is, something that would make my experience nicer while doing this agent swarm based development workflow. But the obvious lesson is that you should make all your tooling agent-first because the agents are just better at this stuff. You can still watch, and of course I did add a ridiculous number of very nice human-centric features to ntm that you'll be seeing in the next day or two, but those are really kind of "for fun" to make us humans feel better about the process. All the real value-add is happening "by agents, for agents." PS: Towards the end, you can see me switch to my Mac and tell Claude to improve the skill that I made earlier today for taking the mkv screen recording files from OBS Studio and muxing them into MP4 files for sharing, while downloading songs from YouTube to serve as the background music. I made it so it can also grab the thumbnails and generate little song credit cards that show up in the lower right corner. This worked perfectly the first time! I'll include some screenshots in a response post showing how that worked, but it was awesome to witness. Skills are POWERFUL. I'll also post a link to this video on YouTube if you prefer to watch it there.
51:48

If you watch this ~50 minute screen recording closely (yeah, I know, it's long; there are also some times when my computer was very slow and laggy, just skip past that part. And at one point I had to run and get my 9-month-old a new bottle and left it on a boring screen, sorry!), I believe you can see real signs of the kind of runaway, recursive AI self-improvement that people have been warning of for a while (Mr. Kurzweil most notably and prophetically). Why do I say that? What's different now? Well, there's a reason my set of agent coding tooling is called the Flywheel. These tools all mutually self-reinforce each other. And they all flow directly into my ntm tool (short for "named_tmux_manager"), which acts as a sort of integration point and nerve center for the tools (this is becoming more true by the minute as I'm now seriously working on ntm). Now, ntm was something I started making to automate some aspects of my workflow, but it was the kind of thing where, until it was perfect, it sort of just slowed me down. So I didn't actually use it even though I kept working on it and trying to improve it, and suggested to users that they try it in my tutorials. Well anyway, I finally got around to "dogfooding" ntm last night, and now it's going to get very dramatically better at an alarming rate. Some of that is from applying my "idea wizard" prompt to generate more useful features and building that stuff out and addressing obvious pain points I encountered during my newfound usage of the tool. But a lot comes from my realization that, once again, ntm's true utility is not as a tool for ME, but for an agent. That is, ntm lets one instance of Claude Code or Codex act as, well, me, do the things that I had been doing manually. Do I wish I had started using ntm earlier? No, for two big reasons: 1) Doing it manually helped me build up my intuition massively, which directly led me down the path of creating useful prompt strategies and workflows; these often began as ad-hoc prompts that I realized could be generalized and made more versatile/universal. Lesson: don't prematurely automate until you have an intimate, intuitive feel for your "core value-add loop." Otherwise you'll have a fully automated system quickly that efficiently and automatically does a stupid or otherwise sub-optimal thing. 2) My eyes have been opened to the beauty and power of Skills. I'm not talking about your garden-variety skills that are just a simple markdown file. I'm talking about true tour-de-force directories of perfectly structured and organized files that are filled with good information, insights, workflows, etc., but presented in a way that is highly optimized for consumption by AI agents, with extreme attention paid to things like perfect progressive disclosure, token density, agent-ergonomics, agent-intuitiveness, etc. And also Skills that go way beyond markdown files, with full integration into Claude Code where it makes sense via hooks, sub-agents, and even Python scripts. These kinds of skills are a qualitative difference in expressive power and usefulness and a total game changer. They are also effectively composable, creating almost an algebra of skills that let you use them together in powerful ways. I'm working on a subscription service website and CLI tool now to share what I've learned here most effectively, stay tuned for that in the coming days. Anyway, I now know what to make and how to make it. So, getting back to that screen recording, what does it show that makes me claim recursive self-improvement is here? If you keep your eye on the upper left tmux pane, that's the "controller" agent. It is using ntm to control all the other panes which are also running Claude Code (but ntm fully supports other agent types like Codex and Gemini-CLI, and it's trivially easy to mix and match them if you wanted to have, say, 8 CCs and 6 Codexes for writing the code and 3 Gemini-CLIs for reviewing code.) Now, there's nothing that crazy about this much so far. But where it starts to get very cool is that as the session continues and we encounter real-world problems, things like my ridiculously overloaded computer that keeps hanging for long periods, Claude Code instances that crash and get into a frozen, unresponsive state, it can learn from that. And you can see it using my skill writing skill to refine its ntm vibe coding skill in real time. And then take that skill and refine it to be more intuitive for itself. Or use my cass tool skill to search all the session histories to look for problems that came up and strategize how to solve them. The most useful part was when, towards the end of the session, I told it to reflect on all the things we had done and problems we encountered. One way it can usefully leverage those reflections is by improving its ntm vibe coding skill to make it cover more edge cases and exigencies. But the other, more fundamental, way is for it to conceive of and design the optimal new features and functionality for ntm itself so that the tool embodies those lessons in a first-class way. This offloads cognition from its brain onto its tooling, just like how a person can lean on spellcheck or a calculator. It codifies correct, effective reasoning at the tool level, where it's more reliable and robust and repeatable. And btw, did you notice what code base it was working on the whole time? It was none other than ntm itself! So as it worked on its own tool, it had reflections and ideas about how to further improve the tool. Now, it could have just as easily gotten those insights and ideas while using ntm to work on a different project, but the fact that it was working on itself is almost gloriously meta and recursive. So by the end, after learning from tending to a big group of agent workers (btw, I have previously emphasized doing everything in a really distributed/decentralized way, where each fungible agent gets identical marching orders that tell it to use my bv tool to find the optimal bead to work on. This does work very well, but occasionally results in some contention and overlap from thundering herd, or at least wastes time/tokens/communication in avoiding that before the agents waste time duplicating work. But in this new ntm-oriented workflow, I was able to have the controller agent in the upper left use bv itself and then optimally parcel out the instructions to each agent so that we could know for sure that there's no overlap), I ended up with a ton of new beads for new features, which I had it optimize and polish a few times. Now I can swap to a new Claude Max account and have the swarm implement all those new features! It should only take a couple passes like the one shown in the screen recording to get everything implemented. Then we can rinse and repeat, having the agent read through the full session histories of each agent and its experience from its own session in sending ntm commands and seeing how they worked out in practice, to come up with the next batch of changes to both its ntm vibe coding skill AND to the ntm tool itself. Do you see how rapidly this turns into Skynet? My mistake earlier was in focusing on making myself a "faster horse" as Henry Ford used to joke about customers wanting before he showed them what they should really want (a Model T). That is, something that would make my experience nicer while doing this agent swarm based development workflow. But the obvious lesson is that you should make all your tooling agent-first because the agents are just better at this stuff. You can still watch, and of course I did add a ridiculous number of very nice human-centric features to ntm that you'll be seeing in the next day or two, but those are really kind of "for fun" to make us humans feel better about the process. All the real value-add is happening "by agents, for agents." PS: Towards the end, you can see me switch to my Mac and tell Claude to improve the skill that I made earlier today for taking the mkv screen recording files from OBS Studio and muxing them into MP4 files for sharing, while downloading songs from YouTube to serve as the background music. I made it so it can also grab the thumbnails and generate little song credit cards that show up in the lower right corner. This worked perfectly the first time! I'll include some screenshots in a response post showing how that worked, but it was awesome to witness. Skills are POWERFUL. I'll also post a link to this video on YouTube if you prefer to watch it there.

Jeffrey Emanuel

25,483 Aufrufe • vor 5 Monaten

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.
2:41

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 Aufrufe • vor 1 Jahr

**Doris Yin Speech at China Guizhou Zunyi GCV Barter Conference** Hello to the community leaders, GCV ambassadors, merchants, and pioneers of GCV Guizhou in China! Today is January 12, 2025, marking the first GCV Barter Conference in China in New Year and the 13th Barter Conference overall. I would like to extend my sincere gratitude to the organizers of this conference, the Guizhou Zunyi GCV Community, and the co-organizers, Barter Huishang (Guizhou) Digital Economy Industry Group Co., Ltd. I also want to acknowledge the following GCV ambassadors for their active dedication and contributions to this conference: **GCV Ambassador of China:** - Yang Zhizhong - Cai Zaiqiao **Ambassadors of Guizhou Province GCV:** - Wang Shiqiong - Cai Weisheng - Guo Jiaqing **Zunyi GCV Ambassadors:** - Wang Jianbo - Luo Nanlu **GCV ambassadors at the district and county level in Zunyi City** Additionally, I would like to express my heartfelt thanks to our numerous GCV merchants and sponsors. Without your support, we would not have been able to hold such a grand and large-scale event. Today's gathering in Zunyi, a sacred site of the revolution, reminds me of the Red Army's 25,000-mile Long March. Their perseverance and sacrifice continue to inspire us. The Zunyi Conference took place from January 15 to 17, 1935, and exactly 90 years later, we are gathered here today. The defining characteristics of the Zunyi Conference included the commitment to uphold the truth, correct mistakes, establish the correct leadership of the Party Central Committee, and creatively develop and implement strategies that fit the nature of the Chinese revolution. Today, our Zunyi Conference will also be recorded in the history of blockchain, as every effort you have put in has contributed to building a strong network ecosystem. Our partial fiat and partial distribution policy serves as a solution for the rapid development of the ecosystem during the closed mainnet of the Pi Network. As we all know, the first quarter of this year will bring about the successful mainnet launch of Pi Network. After six long years of challenges and perseverance, all of our pioneers will have the opportunity to witness this significant historical moment. What an exciting and proud day this will be! It has not been easy for everyone to persist through these six years; it requires great blessings, unwavering faith, and the courage to overcome difficulties. Today, our pioneers in Zunyi, Guizhou Province, gathering for this GCV barter conference holds great significance. I see that ten companies are providing products for barter, with nine companies, including Guizhou Meitan County Daoqin Hospital and Barter Huishang (Guizhou) Digital Economy Industry Group Co., Ltd., sponsoring this event. Once again, I extend my heartfelt thanks to all of you. The GCV Barter Conference serves multiple purposes. It is not only about creating GCV data or demonstrating the strength of our China region to CT, but also about showing how closely we align with their vision and mission. Additionally, it provides robust evidence for a substantial number of KYC and migration initiatives in China. More importantly, what we do today aims to boost China’s future economic development. Once the main network of the Pi Network is launched, we anticipate a significant demand for Chinese products from numerous international pioneers, which will in turn generate a large volume of export orders. At the same time, there will be international merchants looking to export their products to China. Once OM, import and export transactions will be conducted using the new currency, facilitating the vision of a stable currency and enabling seamless and reliable exchanges with fiat currency. Therefore, the merchants who engage now will have the advantage of being early adopters. The Pi Network offers a partner program and a MapofPi program. To participate in the partnership, businesses are required to have a company website. We invite businesses with websites to join us. However, if you do not have a company website, you can still join the Mapofpi program, which encompasses a wide range of industries, allowing participation from both large companies and small traders. Registration for the Mapofpi does not require a business license or website; various entities including shops, hospitals, schools, hair salons, accounting firms, law firms, restaurants, and hotels are welcome to register. Please select an active merchant and support GCV at $314,159. Prior to the OM launch, it is advisable to use partial fiat currency and partial Pi to ensure that merchants can cover their costs and fulfill their tax obligations. Recently, on January 9, we established the China GCV Industry Chain Alliance, which aims to create an industrial chain that facilitates the circulation of Pi among merchants, thereby reducing the burden of exchanging fiat currency after OM. During the enclosed mainnet, you can assist merchants in registering as Pi Network Partners and Mapofpi . Ms. Lumari is our Global GCV CT executive director and her goal is to have 200,000 registered Mapofpi merchants worldwide. My personal target is to reach 100,000 registered merchants in China alone. This goal is achievable given the over 58 million enterprises and more than 20 million pioneers in China. If we can effectively convey that Pi Network WEB 3.0 blockchain technology will significantly enhance human productivity and that the business opportunities from accepting partial Pi and partial FIAT during the 60 days before OM will present numerous benefits and minimal risks to merchants, then it is likely that no merchant will be unfavorably surprised by the initiative. This strategy offers a multitude of advantages with virtually no downsides. Furthermore, it benefits pioneers by allowing them to transfer purchasing power to the community and minimize fiat currency expenses in their daily life. Consequently, the GCV data we generate will significantly benefit the Chinese pioneers, as a large number of registered merchants can transform the China region from a high-risk area to a safe zone. Not only can this region be promoted to a VIP area, which would enjoy expedited KYC and mapping processes, but it will also allow pioneers and merchants to thrive together in our ecosystem. This collaboration will enhance the prosperity of our country and empower the China region to contribute to the welfare of communities worldwide. Once OM, it will play a crucial role in the economic development of both China and the world. If you pay attention to our migrartion speed, you might have noticed that it has slowed down recently. From December 17th to around the 30th, the migrating speed was over 50,000 to 100,000 per day, but now it has dropped to just over 10,000. What is the reason for this decline? If it was previously possible to migrate over 100,000 per day, why has it changed? The CT has stated that they will OM until the first quarter of this year to bring the migratiion in line with KYC amounts. However, if it's technically feasible to achieve a higher migration speed, why isn’t it being done? The answer is quite simple: it depends on what everyone does with the Pi after such large migration numbers. If pioneers rush to buy and sell, hold onto their Pi coins, or trade at low value, it will impact the speed and efficiency of the next migration in these regions. This principle is not only theoretically valid but has proven true in practice. For instance, countries like the Philippines, Indonesia, and Malaysia have a solid educational foundation in GCV. Most pioneers there are highly aware of the risks involved in participating in the black market, which allows them to generate a substantial amount of GCV data. As a result, their migration speed is notably fast, and there are many large wallet migrated. To help the CT regain momentum, we all need to cooperate. Engage with the migrated Pi and participate in the GCV barter ecosystem. Be cautious of individuals who aim to deceive you for personal gain; devaluing the Pi often serves as a tactic to exchange something small for your valuable treasure. It's crucial to educate pioneers about the true value of what they hold and encourage them to avoid dishonest practices. I urge everyone to actively participate in partial Pi and partial FIAT barter. The more GCV data we generate, the more secure our wallets will be. Therefore, it's important for everyone to read and share the Pioneer Handbook I wrote which has been translated into 30 languages to raise awareness among pioneers. By learning from the Pioneer Handbook and participating in GCV bartering, we can improve China's migration efforts and foster ecological development. This stability can ensure that the value of our Pi endures for future generations, rather than becoming worthless in a few years. Wouldn't that be something we want to preserve for our children and grandchildren? Today's message is lengthy but very important, and I hope you take the time to understand it. I wish our Guizhou Zunyi Conference great success! Thank you to all GCV Ambassadors, Merchants, and Pioneers for your incredible support! Your efforts today are planting the seeds for a prosperous future, and I hope you find safety and fulfillment in the days to come. May your wishes come true! Wishing you health and happiness! Let’s work together to create a better future! I also hope you all have a joyful Chinese New Year! Doris Yin 🪷🪷🪷 Founder, Global GCV Movement January 12, 2025
0:14

**Doris Yin Speech at China Guizhou Zunyi GCV Barter Conference** Hello to the community leaders, GCV ambassadors, merchants, and pioneers of GCV Guizhou in China! Today is January 12, 2025, marking the first GCV Barter Conference in China in New Year and the 13th Barter Conference overall. I would like to extend my sincere gratitude to the organizers of this conference, the Guizhou Zunyi GCV Community, and the co-organizers, Barter Huishang (Guizhou) Digital Economy Industry Group Co., Ltd. I also want to acknowledge the following GCV ambassadors for their active dedication and contributions to this conference: **GCV Ambassador of China:** - Yang Zhizhong - Cai Zaiqiao **Ambassadors of Guizhou Province GCV:** - Wang Shiqiong - Cai Weisheng - Guo Jiaqing **Zunyi GCV Ambassadors:** - Wang Jianbo - Luo Nanlu **GCV ambassadors at the district and county level in Zunyi City** Additionally, I would like to express my heartfelt thanks to our numerous GCV merchants and sponsors. Without your support, we would not have been able to hold such a grand and large-scale event. Today's gathering in Zunyi, a sacred site of the revolution, reminds me of the Red Army's 25,000-mile Long March. Their perseverance and sacrifice continue to inspire us. The Zunyi Conference took place from January 15 to 17, 1935, and exactly 90 years later, we are gathered here today. The defining characteristics of the Zunyi Conference included the commitment to uphold the truth, correct mistakes, establish the correct leadership of the Party Central Committee, and creatively develop and implement strategies that fit the nature of the Chinese revolution. Today, our Zunyi Conference will also be recorded in the history of blockchain, as every effort you have put in has contributed to building a strong network ecosystem. Our partial fiat and partial distribution policy serves as a solution for the rapid development of the ecosystem during the closed mainnet of the Pi Network. As we all know, the first quarter of this year will bring about the successful mainnet launch of Pi Network. After six long years of challenges and perseverance, all of our pioneers will have the opportunity to witness this significant historical moment. What an exciting and proud day this will be! It has not been easy for everyone to persist through these six years; it requires great blessings, unwavering faith, and the courage to overcome difficulties. Today, our pioneers in Zunyi, Guizhou Province, gathering for this GCV barter conference holds great significance. I see that ten companies are providing products for barter, with nine companies, including Guizhou Meitan County Daoqin Hospital and Barter Huishang (Guizhou) Digital Economy Industry Group Co., Ltd., sponsoring this event. Once again, I extend my heartfelt thanks to all of you. The GCV Barter Conference serves multiple purposes. It is not only about creating GCV data or demonstrating the strength of our China region to CT, but also about showing how closely we align with their vision and mission. Additionally, it provides robust evidence for a substantial number of KYC and migration initiatives in China. More importantly, what we do today aims to boost China’s future economic development. Once the main network of the Pi Network is launched, we anticipate a significant demand for Chinese products from numerous international pioneers, which will in turn generate a large volume of export orders. At the same time, there will be international merchants looking to export their products to China. Once OM, import and export transactions will be conducted using the new currency, facilitating the vision of a stable currency and enabling seamless and reliable exchanges with fiat currency. Therefore, the merchants who engage now will have the advantage of being early adopters. The Pi Network offers a partner program and a MapofPi program. To participate in the partnership, businesses are required to have a company website. We invite businesses with websites to join us. However, if you do not have a company website, you can still join the Mapofpi program, which encompasses a wide range of industries, allowing participation from both large companies and small traders. Registration for the Mapofpi does not require a business license or website; various entities including shops, hospitals, schools, hair salons, accounting firms, law firms, restaurants, and hotels are welcome to register. Please select an active merchant and support GCV at $314,159. Prior to the OM launch, it is advisable to use partial fiat currency and partial Pi to ensure that merchants can cover their costs and fulfill their tax obligations. Recently, on January 9, we established the China GCV Industry Chain Alliance, which aims to create an industrial chain that facilitates the circulation of Pi among merchants, thereby reducing the burden of exchanging fiat currency after OM. During the enclosed mainnet, you can assist merchants in registering as Pi Network Partners and Mapofpi . Ms. Lumari is our Global GCV CT executive director and her goal is to have 200,000 registered Mapofpi merchants worldwide. My personal target is to reach 100,000 registered merchants in China alone. This goal is achievable given the over 58 million enterprises and more than 20 million pioneers in China. If we can effectively convey that Pi Network WEB 3.0 blockchain technology will significantly enhance human productivity and that the business opportunities from accepting partial Pi and partial FIAT during the 60 days before OM will present numerous benefits and minimal risks to merchants, then it is likely that no merchant will be unfavorably surprised by the initiative. This strategy offers a multitude of advantages with virtually no downsides. Furthermore, it benefits pioneers by allowing them to transfer purchasing power to the community and minimize fiat currency expenses in their daily life. Consequently, the GCV data we generate will significantly benefit the Chinese pioneers, as a large number of registered merchants can transform the China region from a high-risk area to a safe zone. Not only can this region be promoted to a VIP area, which would enjoy expedited KYC and mapping processes, but it will also allow pioneers and merchants to thrive together in our ecosystem. This collaboration will enhance the prosperity of our country and empower the China region to contribute to the welfare of communities worldwide. Once OM, it will play a crucial role in the economic development of both China and the world. If you pay attention to our migrartion speed, you might have noticed that it has slowed down recently. From December 17th to around the 30th, the migrating speed was over 50,000 to 100,000 per day, but now it has dropped to just over 10,000. What is the reason for this decline? If it was previously possible to migrate over 100,000 per day, why has it changed? The CT has stated that they will OM until the first quarter of this year to bring the migratiion in line with KYC amounts. However, if it's technically feasible to achieve a higher migration speed, why isn’t it being done? The answer is quite simple: it depends on what everyone does with the Pi after such large migration numbers. If pioneers rush to buy and sell, hold onto their Pi coins, or trade at low value, it will impact the speed and efficiency of the next migration in these regions. This principle is not only theoretically valid but has proven true in practice. For instance, countries like the Philippines, Indonesia, and Malaysia have a solid educational foundation in GCV. Most pioneers there are highly aware of the risks involved in participating in the black market, which allows them to generate a substantial amount of GCV data. As a result, their migration speed is notably fast, and there are many large wallet migrated. To help the CT regain momentum, we all need to cooperate. Engage with the migrated Pi and participate in the GCV barter ecosystem. Be cautious of individuals who aim to deceive you for personal gain; devaluing the Pi often serves as a tactic to exchange something small for your valuable treasure. It's crucial to educate pioneers about the true value of what they hold and encourage them to avoid dishonest practices. I urge everyone to actively participate in partial Pi and partial FIAT barter. The more GCV data we generate, the more secure our wallets will be. Therefore, it's important for everyone to read and share the Pioneer Handbook I wrote which has been translated into 30 languages to raise awareness among pioneers. By learning from the Pioneer Handbook and participating in GCV bartering, we can improve China's migration efforts and foster ecological development. This stability can ensure that the value of our Pi endures for future generations, rather than becoming worthless in a few years. Wouldn't that be something we want to preserve for our children and grandchildren? Today's message is lengthy but very important, and I hope you take the time to understand it. I wish our Guizhou Zunyi Conference great success! Thank you to all GCV Ambassadors, Merchants, and Pioneers for your incredible support! Your efforts today are planting the seeds for a prosperous future, and I hope you find safety and fulfillment in the days to come. May your wishes come true! Wishing you health and happiness! Let’s work together to create a better future! I also hope you all have a joyful Chinese New Year! Doris Yin 🪷🪷🪷 Founder, Global GCV Movement January 12, 2025

Doris Yin 东方紫莲🪷

18,335 Aufrufe • vor 1 Jahr