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KoreanFlare is LIVE for Discord After 3 weeks of development (2 weeks procrastinating, 1 week actual work) : 1. CAPTCHA but it's Kim Jong Un's face 2. Say "Kim Jong is gay" into your mic 3. AI bans anyone who sounds North Korean or refuses Tested on myself twice....

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hrithik ( 히리틱 )

9,286 subscribers

23,212 次观看 • 5 个月前 •via X (Twitter)

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28 条评论

Ash 的头像
Ash5 个月前

the north korean hackers couldn't save their respect yet if you guyz reading this tweet, dive into bucket of water and die

hrithik ( 히리틱 ) 的头像
hrithik ( 히리틱 )5 个月前

I’m hiring North Koreans only btw, as iron cuts iron

Ash 的头像
Ash5 个月前

hire my friend then he has much connections with Kim Jong

Roarxprince 的头像
Roarxprince5 个月前

real builder is hrithik, who is working 24x7 to protect us from the hack congrats for this

hrithik ( 히리틱 ) 的头像
hrithik ( 히리틱 )5 个月前

thanks for your support 😂

quirkieee 的头像
quirkieee5 个月前

DO NOT REDEEM

hrithik ( 히리틱 ) 的头像
hrithik ( 히리틱 )5 个月前

redeem what???

一川drive 🔴 的头像
一川drive 🔴5 个月前

Lmao 😆 I'm curious on those who gonna be the first who adopt it... But be careful, Lazarus might revenge to ya 🤣

hrithik ( 히리틱 ) 的头像
hrithik ( 히리틱 )5 个月前

banning CZ from accessing it right now

一川drive 🔴 的头像
一川drive 🔴5 个月前

🤣🤣🤣 Yeah, he's the first who should get banned

Steve Rogers ADL (Polymarket Arc) 的头像
Steve Rogers ADL (Polymarket Arc)5 个月前

Did Koreanflare beta testing, koreanflare doesn't allow you to connect your wallet to Cz crime projects ! Beta testing is incentive 🪂

hrithik ( 히리틱 ) 的头像
hrithik ( 히리틱 )5 个月前

oh yes, no CZ project allowed btw

Gaius ♦ 的头像
Gaius ♦5 个月前

Low-key this could be adopted by many companies in the future.😭🤣

Keiko 的头像
Keiko5 个月前

damn bro is really doing it 💀

hrithik ( 히리틱 ) 的头像
hrithik ( 히리틱 )5 个月前

ain’t joking

ManFromHell 的头像
ManFromHell5 个月前

Amazing tech ngl

Aman 的头像
Aman5 个月前

anything in the name of development

Selvy 的头像
Selvy5 个月前

Cloudflare ❌ Koreanflare ✅

TheRock.lvl ⌘ 的头像
TheRock.lvl ⌘5 个月前

Are you serious with this?

onchainmonk 的头像
onchainmonk5 个月前

Sar plz

Ryot 📕 的头像
Ryot 📕5 个月前

whos this genius

Verma G 的头像
Verma G5 个月前

Now that's called innovation. 💀👌

unselfish.eth 的头像
unselfish.eth5 个月前

haha.. you gonna get hired soon(er)

Vanshika✨ 的头像
Vanshika✨5 个月前

wtf

Brendan 的头像
Brendan5 个月前

Who sounds north korean 🤣

Roarxprince 的头像
Roarxprince5 个月前

@tweem 10k views

dharani.eth 的头像
dharani.eth5 个月前

good tek

0xMentalist 🦄 的头像
0xMentalist 🦄5 个月前

lmao

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46,438 次观看 • 10 个月前

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AI ads will flood your timeline in 2026. That is guaranteed. But the problem is – most AI ad tools don’t work. They produce generic AI slop in large volumes… except that nobody clicks or converts. Agencies are better. But slow and expensive + They can't keep up with how fast we need to test. Last night, I was reading about how DoorDash cut its Customer Acquisition Cost by ~40%, and it hit me. AI + expert people is the solution. It is so obvious, but nobody bothered to pay attention. That’s why all these AI ad companies like Icon, MakeUGC, and Creatify came and went. DoorDash is using Airpost - AI that generates the volume, but actual strategists came from people who've spent $350M+ on ads to make sure it's not garbage. Here's how it actually works: 1. You Connect product URL, assets, past ads. pulls it all in and connects to your ad accounts. It takes about 30 minutes. 2. It scrapes your product, analyzes what's worked, spots gaps in your angles, and builds a "living brief" you can tweak anytime. 3. AI generates dozens of ad scripts like Hooks, angles, variations…using your footage plus their library of 400,000+ UGC clips. 4. Real strategists filter the junk. These are People from Ready Set, Tubescience, who've run campaigns for DoorDash, hims, Coinbase. They know what converts. 5. Airpost sends you 10-100 ready-to-run ads every week. 6. When an ad wins, Airpost AI auto-generates variations. When your messaging changes, ads update with it. No starting over. That's it. No back-and-forth for weeks. No hoping your AI prompt works. Cloaked spent $1M+ on ads made with Airpost. Dr. Squatch uses it to test 100s of variations for their wide range of target audiences. Doordash observed a ~40% drop in CAC. The thing that sold me? 100% of client renewals. Zero churn. Almost impossible to believe, but it's true. In a world where every AI ad tool is dead in 6 months, that says something. If you're a founder or growth marketer spending $250K+/month, you can’t miss this. PS :) I'm giving away a video tutorial on how to set up Airpost's TikTok Creative Intelligence Agent that tracks trends, finds winning hooks, and spots what's working for DTC brands right now. Like, Repost and Drop "CREATIVE" in the comments + follow, and I'll send it over. . . .

Beginnersblog

45,429 次观看 • 8 个月前

200,000+ new vibe coding projects get created every day yet almost NONE of them get customers 7 distribution strategies that actually work right now for your startup: 1. build an MCP server. when someone asks claude or chatgpt the question your product answers, your tool shows up. the AI becomes your sales team. 2. programmatic SEO. pick a keyword pattern (best X for Y). use firecrawl to pull real structured data so pages have actual value. one next.js template, AI generated content, human editing loop so it doesn't read like AI. 10,000 pages × 30 visits × 2% CVR × $10 = $60k/month from pages you built once. 3. vibe code a free tool (calculator, software etc). one problem, one tool, ship it today. it ranks, lives in people's workflows, markets your brand for years. ahrefs' free backlink checker has sent them more customers than most paid ads ever will. 4. answer engine optimization. people are getting answers from chatgpt and perplexity now, not just google. find the top questions your customer is asking AI. publish structured, definitive answers. one founder went from 4% to 20% AI referrals in a month just by doing this. 5. make the output of your product shareable. think spotify wrapped. think github graphs. think stripe atlas. what does your user want to screenshot and send? build that moment. add a pre-filled share button. every share is free impressions to your exact audience. 6. buy a niche newsletter. 10k subscribers for $5k to $20k. most owners are making $0 to $500 a month. DM them "ever thought about selling?" you inherit trust and a direct channel to your exact customer on day one. underrated. 7. 30 minute voice memo into claude: five tweet threads, three linkedin posts, one newsletter, short form clips. do this weekly. in 3 months you have more content than competitors who aren't doing this. obviously, your project needs to be optimized so it isnt ai slop, but you'll get there. code is commoditized. time to focus on distribution. pick 2 of these ideas and start this week to get customers. this episode was designed to get your creative juices flowing. maybe it'll give you more ideas on growth tactics you'll use this week. full breakdown on the The Startup Ideas Podcast (SIP) 🧃 watch.
27:18

200,000+ new vibe coding projects get created every day yet almost NONE of them get customers 7 distribution strategies that actually work right now for your startup: 1. build an MCP server. when someone asks claude or chatgpt the question your product answers, your tool shows up. the AI becomes your sales team. 2. programmatic SEO. pick a keyword pattern (best X for Y). use firecrawl to pull real structured data so pages have actual value. one next.js template, AI generated content, human editing loop so it doesn't read like AI. 10,000 pages × 30 visits × 2% CVR × $10 = $60k/month from pages you built once. 3. vibe code a free tool (calculator, software etc). one problem, one tool, ship it today. it ranks, lives in people's workflows, markets your brand for years. ahrefs' free backlink checker has sent them more customers than most paid ads ever will. 4. answer engine optimization. people are getting answers from chatgpt and perplexity now, not just google. find the top questions your customer is asking AI. publish structured, definitive answers. one founder went from 4% to 20% AI referrals in a month just by doing this. 5. make the output of your product shareable. think spotify wrapped. think github graphs. think stripe atlas. what does your user want to screenshot and send? build that moment. add a pre-filled share button. every share is free impressions to your exact audience. 6. buy a niche newsletter. 10k subscribers for $5k to $20k. most owners are making $0 to $500 a month. DM them "ever thought about selling?" you inherit trust and a direct channel to your exact customer on day one. underrated. 7. 30 minute voice memo into claude: five tweet threads, three linkedin posts, one newsletter, short form clips. do this weekly. in 3 months you have more content than competitors who aren't doing this. obviously, your project needs to be optimized so it isnt ai slop, but you'll get there. code is commoditized. time to focus on distribution. pick 2 of these ideas and start this week to get customers. this episode was designed to get your creative juices flowing. maybe it'll give you more ideas on growth tactics you'll use this week. full breakdown on the The Startup Ideas Podcast (SIP) 🧃 watch.

GREG ISENBERG

188,110 次观看 • 5 个月前

THIS GUY TURNED 5 PROMPTING TIPS INTO A FREE AI CEO CHALLENGE The useful part is treating every prompt like you are briefing a very fast employee who has zero context. Most people open ChatGPT and type a wish. Pros give it a job. Try this instead: 1. Give it a role Not “help me with marketing.” Say: “Act as a B2B SaaS growth operator reviewing a landing page.” 2. Give it the real context Who is the customer? What are they buying? What have you already tried? What does success look like? 3. Give it constraints Length, tone, format, audience, banned words, examples to copy, examples to avoid. A vague prompt gets a vague answer. A constrained prompt gets something you can edit. 4. Ask for options before answers “Give me 5 angles, rank them, then explain the tradeoff.” This turns AI from an autocomplete box into a thinking partner. 5. Force it to show assumptions Before it writes, ask: “What are you assuming, what info is missing, and what would change your answer?” That one line saves a lot of fake confidence. Dan Martell’s video works because the promise is simple: 5 prompting habits that make AI feel less random. The reusable move is even simpler: Stop prompting for outputs. Start prompting for decisions. Bad: “Write me a post.” Better: “Here is the source, here is the reader, here is the angle, give me 3 hooks, choose the strongest, then draft in this style.” That is the difference between getting content-shaped noise and getting work you can actually ship. Caveat: prompts do not fix weak taste, bad data, or unclear strategy. But they do expose those problems faster. If your AI answers are generic, your prompt probably has no job, no context, no constraints, and no standard for what “good” means.
0:51

THIS GUY TURNED 5 PROMPTING TIPS INTO A FREE AI CEO CHALLENGE The useful part is treating every prompt like you are briefing a very fast employee who has zero context. Most people open ChatGPT and type a wish. Pros give it a job. Try this instead: 1. Give it a role Not “help me with marketing.” Say: “Act as a B2B SaaS growth operator reviewing a landing page.” 2. Give it the real context Who is the customer? What are they buying? What have you already tried? What does success look like? 3. Give it constraints Length, tone, format, audience, banned words, examples to copy, examples to avoid. A vague prompt gets a vague answer. A constrained prompt gets something you can edit. 4. Ask for options before answers “Give me 5 angles, rank them, then explain the tradeoff.” This turns AI from an autocomplete box into a thinking partner. 5. Force it to show assumptions Before it writes, ask: “What are you assuming, what info is missing, and what would change your answer?” That one line saves a lot of fake confidence. Dan Martell’s video works because the promise is simple: 5 prompting habits that make AI feel less random. The reusable move is even simpler: Stop prompting for outputs. Start prompting for decisions. Bad: “Write me a post.” Better: “Here is the source, here is the reader, here is the angle, give me 3 hooks, choose the strongest, then draft in this style.” That is the difference between getting content-shaped noise and getting work you can actually ship. Caveat: prompts do not fix weak taste, bad data, or unclear strategy. But they do expose those problems faster. If your AI answers are generic, your prompt probably has no job, no context, no constraints, and no standard for what “good” means.

kocer

25,573 次观看 • 3 个月前

is our AI project to make computing feel more human L A N D E R Here are the 4 best demo videos of the magic of DATA in action. DATA is a personalized assistant who knows and remembers every conversation you have with it accross your iPhone, Mac, iPad, Watch, Texts, Emails, and HomePods. You can talk to DATA right in your AirPods or text it just like a person. DATA can read, write, understand, speak any language, and translate between them. It can help with real work and home life tasks like research, writing, scheduling, reminders, and triage. And it's easily customizable so you can have DATA automatically do whatever you want whenever you want with just a few taps and natural language instructions - no code required. DATA can do just about anything you can do on your phone on your behalf automatically including very advanced things Siri can't, like summarizing, analyzing, and drafting replies or writing documents. It can read web pages, texts or emails you show it, or PDFs of any kind. It can do other real world tasks that require complex analysis and common sense too, like: - figure out where the nearest beach is (even when you're in Colorado) and instantly fetch the current surf report up to the current minute. - summarize and drafting replies to entire email chains - plan out entire work projects or multi-day vacations on your calendar - sketch out ideas for you in picture form or drafting Notion pages with charts and graphs. DATA can also use its own judgement to determine when to run an action or not, even if you've scheduled it, allowing you to make VERY complex automations that require many different inputs to make a decision, like for example: - only opening the blinds on your lunch break if it's sunny out and you're working from home. DATA works natively and easily with Apple HomeKit & other shortcuts. DATA can also take initiative and check in with you throughout the day by voice or text and proactively send messages to you and others on your behalf based on your personal and professional goals, current tasks, and calendar. DATA can integrate with many apps on your phone, and is compatible with multiple large AI language models. I've gotten to make a few demo videos that I think really capture how powerful DATA can be for every day life. Here they are all in one tweet. Make sure your sound is on as you watch them. 1. This is the first demo video I ever made from April 19th, 2023. It walks through all the ways you can interact with and use the DATA shortcuts. Everything from saying "Hey Siri" to tapping on custom apps on your home-screen. 2. The second demo video was made May 5 and is an example use case I made of how commands work - commands allow DATA to actually run actions on your phone like taking pictures and sending messages. This demo shows me taking a picture of an email template, and data drafting an email based on that template. It's gotten much better at realizing when it has just run a command and incorporating that information naturally into the conversation now, especially on GPT-4. 3. This third Commands video, May 12 is a walkthrough of ALL the phone functions that commands allow DATA to do: sending texts and emails, making pictures, seeing pictures, reading things, and scheduling events. Since this video we've added auto-replies to texts and emails, summarizing documents, writing documents, health app data retrieval, web surfing, scheduling alarms, making playlists, and more. 4. This last demo I made today, June 15, shows everything DATA does working in concert to generate a crazy detailed morning briefing with background music - including making a unique playlist and giving a detailed analysis of current events complete with Ski & Surf conditions near me other live information from the internet. So now that you've seen everything DATA can do, what's the coolest feature? What features should we add? What would you use DATA for first?
12:54

is our AI project to make computing feel more human L A N D E R Here are the 4 best demo videos of the magic of DATA in action. DATA is a personalized assistant who knows and remembers every conversation you have with it accross your iPhone, Mac, iPad, Watch, Texts, Emails, and HomePods. You can talk to DATA right in your AirPods or text it just like a person. DATA can read, write, understand, speak any language, and translate between them. It can help with real work and home life tasks like research, writing, scheduling, reminders, and triage. And it's easily customizable so you can have DATA automatically do whatever you want whenever you want with just a few taps and natural language instructions - no code required. DATA can do just about anything you can do on your phone on your behalf automatically including very advanced things Siri can't, like summarizing, analyzing, and drafting replies or writing documents. It can read web pages, texts or emails you show it, or PDFs of any kind. It can do other real world tasks that require complex analysis and common sense too, like: - figure out where the nearest beach is (even when you're in Colorado) and instantly fetch the current surf report up to the current minute. - summarize and drafting replies to entire email chains - plan out entire work projects or multi-day vacations on your calendar - sketch out ideas for you in picture form or drafting Notion pages with charts and graphs. DATA can also use its own judgement to determine when to run an action or not, even if you've scheduled it, allowing you to make VERY complex automations that require many different inputs to make a decision, like for example: - only opening the blinds on your lunch break if it's sunny out and you're working from home. DATA works natively and easily with Apple HomeKit & other shortcuts. DATA can also take initiative and check in with you throughout the day by voice or text and proactively send messages to you and others on your behalf based on your personal and professional goals, current tasks, and calendar. DATA can integrate with many apps on your phone, and is compatible with multiple large AI language models. I've gotten to make a few demo videos that I think really capture how powerful DATA can be for every day life. Here they are all in one tweet. Make sure your sound is on as you watch them. 1. This is the first demo video I ever made from April 19th, 2023. It walks through all the ways you can interact with and use the DATA shortcuts. Everything from saying "Hey Siri" to tapping on custom apps on your home-screen. 2. The second demo video was made May 5 and is an example use case I made of how commands work - commands allow DATA to actually run actions on your phone like taking pictures and sending messages. This demo shows me taking a picture of an email template, and data drafting an email based on that template. It's gotten much better at realizing when it has just run a command and incorporating that information naturally into the conversation now, especially on GPT-4. 3. This third Commands video, May 12 is a walkthrough of ALL the phone functions that commands allow DATA to do: sending texts and emails, making pictures, seeing pictures, reading things, and scheduling events. Since this video we've added auto-replies to texts and emails, summarizing documents, writing documents, health app data retrieval, web surfing, scheduling alarms, making playlists, and more. 4. This last demo I made today, June 15, shows everything DATA does working in concert to generate a crazy detailed morning briefing with background music - including making a unique playlist and giving a detailed analysis of current events complete with Ski & Surf conditions near me other live information from the internet. So now that you've seen everything DATA can do, what's the coolest feature? What features should we add? What would you use DATA for first?

steve

640,176 次观看 • 3 年前

Introducing Icon, the world’s first AI CMO (Chief Marketing Officer): it can plan, create, & run 1000s of winning ads end-to-end. We're backed by Peter Thiel's Founders Fund & execs of frontier AI labs like OpenAI (ChatGPT), Cognition, & Pika. How it works: 1. Connect Icon to your Meta Ad Account & Google Drive. It’ll use your ad account data & existing assets for planning & making ads. 2. Icon finds 100 winning ad concepts daily. It does this by scanning websites (yours & competitors), competitor ads, customer reviews, ad account performance, & more. It comes up with 3 types of ads: "Competitor Clone," "New Concept," & "Winner Iteration." You can copy what worked for competitors, try fresh approaches, & scale your winners. 3. Icon turns winning concepts into ads better than ChatGPT. Say you’re trying to copy a competitor’s before-and-after style ad. ChatGPT would make up random before-and-after scenarios & get your product dimensions wrong. Icon has a reasoning layer on top of GPT-4o that deeply studies the ad for minutes. It understands that it needs to make before-and-after scenarios using real insights from your website, product descriptions, & reviews. Icon gets ad intent, while ChatGPT only sees pixels. 4. Launch ads into your ad accounts with 1 click for less than $1. Before Icon, you’d launch 10 ads per week. Now you can launch 1000 ads per week & get more winners. Everything in my life has led up to this. At 18, I had to support myself. I had to live with my parents to save money. And no one thought I’d go anywhere. I really hated this, so I worked 100-hour weeks until I destroyed coding interviews. Soon after, I dropped out to join Pinterest at 19. After being a minion at Pinterest, I quit cold turkey & started my 1st company Skio. I then fluked into Y Combinator as a solo founder & completely failed during the batch. Thankfully, pivoting worked well ($15M+ ARR & profitable). But it’s not over yet. I have a massive chip on my shoulder that I must fix with Icon. So far, so good: we went from $0 to $5M ARR in our first 30 days. I know I’m not supposed to say this publicly, but I want to make Icon the greatest company of all time. I want to deliver insane value to our customers. I want to create generational wealth for my team & investors. I want to break the $0 to $100M ARR world record. And I’m putting my money where my mouth is: I just bought for $12M. If you've read this far, I want to say thank you with a gift 👇 We have an internal Google Drive with 1000+ static winning ads & 1000+ winning video ads. These ads have driven >$1.3B revenue in the last 6 months. We trained AI CMO on these ads. I’m pretty sure the right person could make $100K+ by just copying them. Retweet this & comment “Icon” and I’ll send you the Google Drive link for free.
3:16

Introducing Icon, the world’s first AI CMO (Chief Marketing Officer): it can plan, create, & run 1000s of winning ads end-to-end. We're backed by Peter Thiel's Founders Fund & execs of frontier AI labs like OpenAI (ChatGPT), Cognition, & Pika. How it works: 1. Connect Icon to your Meta Ad Account & Google Drive. It’ll use your ad account data & existing assets for planning & making ads. 2. Icon finds 100 winning ad concepts daily. It does this by scanning websites (yours & competitors), competitor ads, customer reviews, ad account performance, & more. It comes up with 3 types of ads: "Competitor Clone," "New Concept," & "Winner Iteration." You can copy what worked for competitors, try fresh approaches, & scale your winners. 3. Icon turns winning concepts into ads better than ChatGPT. Say you’re trying to copy a competitor’s before-and-after style ad. ChatGPT would make up random before-and-after scenarios & get your product dimensions wrong. Icon has a reasoning layer on top of GPT-4o that deeply studies the ad for minutes. It understands that it needs to make before-and-after scenarios using real insights from your website, product descriptions, & reviews. Icon gets ad intent, while ChatGPT only sees pixels. 4. Launch ads into your ad accounts with 1 click for less than $1. Before Icon, you’d launch 10 ads per week. Now you can launch 1000 ads per week & get more winners. Everything in my life has led up to this. At 18, I had to support myself. I had to live with my parents to save money. And no one thought I’d go anywhere. I really hated this, so I worked 100-hour weeks until I destroyed coding interviews. Soon after, I dropped out to join Pinterest at 19. After being a minion at Pinterest, I quit cold turkey & started my 1st company Skio. I then fluked into Y Combinator as a solo founder & completely failed during the batch. Thankfully, pivoting worked well ($15M+ ARR & profitable). But it’s not over yet. I have a massive chip on my shoulder that I must fix with Icon. So far, so good: we went from $0 to $5M ARR in our first 30 days. I know I’m not supposed to say this publicly, but I want to make Icon the greatest company of all time. I want to deliver insane value to our customers. I want to create generational wealth for my team & investors. I want to break the $0 to $100M ARR world record. And I’m putting my money where my mouth is: I just bought for $12M. If you've read this far, I want to say thank you with a gift 👇 We have an internal Google Drive with 1000+ static winning ads & 1000+ winning video ads. These ads have driven >$1.3B revenue in the last 6 months. We trained AI CMO on these ads. I’m pretty sure the right person could make $100K+ by just copying them. Retweet this & comment “Icon” and I’ll send you the Google Drive link for free.

Kennan Frost

1,345,119 次观看 • 1 年前

losers spend money on club tables and take home zero girls buying bottles at liv miami trying to impress models who make $500/night when you could be recruiting them for onlyfans with 0% apr tables and take 90% of their revenue... $300k/month from girls you met at clubs here's the onlyfans mafia system destroying simps: every weekend desperate mfs drop $50k cash on tables models pretend to care for 3 hours everyone goes home alone money wasted meanwhile smart operators run different game: THE CREDIT CARD TABLE HACK: get $150k in business funding at 0% apr book owner's tables at tier-1 miami clubs never spend cash - everything on cards earn 300k points while recruiting cards to get approved for today: - chase ink preferred: $30k typical - amex business gold: $50k typical - capital one spark: $40k typical - wells fargo business: $30k typical $150k at 0% in 30 days if you're not stupid THE RECRUITMENT PSYCHOLOGY: table attracts 10-15 models per night they think you're a whale you're not you're a businessman the pitch that converts 40%: "i manage content creators everything's handled - photographer, editor, marketing creators keep 10% pure profit most make $3-5k/month passive here's my portfolio..." show them your roster: girl #1: was bartending at bodega now: $50k/month on OF her take: $5000 your take: $45,000 girl #2: was bottle service at e11even now: $31k/month her take: $3,100 your take: $27,900 they all say yes THE MIAMI CLUB RANKING: recruit here in exact order: 1. liv (fontainebleau) - international models 2. e11even (24/7) - party girls who need money 3. story (south beach) - college girls 4. space (downtown) - underground scene 5. basement (edition) - high-end escorts transitioning wednesday-thursday better than weekends less competition from actual rich guys girls more desperate for attention THE ONLYFANS ASSEMBLY LINE: week 1: professional shoot ($500) week 2: launch with 50 posts ready week 3: tiktok spam campaign week 4: instagram reels push month 2: optimize pricing month 3: $15-30k/month steady your only job: - recruit - manage photographers - collect 90% THE BUSINESS MODEL MATH: monthly costs: - tables: $40k (on 0% cards) - photographer: $8k - editors: $5k (philippines) - shoot apartment: $4k total overhead: $57k 20 girls at $15k average: $300k your 90% cut: $270k monthly profit: $213k started with credit cards ending with empire THE SCALE FORMULA: month 1-3: recruit 20 girls month 4-6: optimize content month 7-12: $300k/month automated year 2: expand to NYC/LA year 3: sell for $20m to PE fund 3-year exit from credit cards THE DARK PSYCHOLOGY: these girls could do this alone but they won't they need leadership need someone to blame when dad finds out need the infrastructure you're not exploiting you're organizing they were already selling bottle service now they're CEOs making 10x more THE EXACT RECRUITMENT SCRIPT: "hey i know this is random you're exactly the type my agency represents we manage exclusive content creators everything's handled professionally creators keep 10% pure profit most hit $3-5k/month within 90 days here's my card, let's talk monday" success rate: 40% they all call THE CREDIT TO CASH CONVERSION: $150k in business cards approved liquidate through: - plastiq for "rent": 2.85% fee - paypal "consulting": 2.9% fee - square "services": 2.75% fee $150k credit becomes $145k cash fund entire operation at 0% pay minimums from profits THE COMPETITION ELIMINATION: other "managers" take 50% and provide nothing you take 90% but provide everything: - professional content - daily posting - fan management - marketing strategy girls make more with you at 10% than alone at 100% that's why they stay THE EXIT REALITY: building "talent management agency" 30 active models = $500k/month revenue $6m annual agencies sell for 3-5x exit value: $18-30 million from credit cards to 8 figures in 36 months you're either buying bottles like a sucker or building an empire with bank money choose your side Get $100K at 0% APR guaranteed Link in bio → Scale With Credit
0:28

losers spend money on club tables and take home zero girls buying bottles at liv miami trying to impress models who make $500/night when you could be recruiting them for onlyfans with 0% apr tables and take 90% of their revenue... $300k/month from girls you met at clubs here's the onlyfans mafia system destroying simps: every weekend desperate mfs drop $50k cash on tables models pretend to care for 3 hours everyone goes home alone money wasted meanwhile smart operators run different game: THE CREDIT CARD TABLE HACK: get $150k in business funding at 0% apr book owner's tables at tier-1 miami clubs never spend cash - everything on cards earn 300k points while recruiting cards to get approved for today: - chase ink preferred: $30k typical - amex business gold: $50k typical - capital one spark: $40k typical - wells fargo business: $30k typical $150k at 0% in 30 days if you're not stupid THE RECRUITMENT PSYCHOLOGY: table attracts 10-15 models per night they think you're a whale you're not you're a businessman the pitch that converts 40%: "i manage content creators everything's handled - photographer, editor, marketing creators keep 10% pure profit most make $3-5k/month passive here's my portfolio..." show them your roster: girl #1: was bartending at bodega now: $50k/month on OF her take: $5000 your take: $45,000 girl #2: was bottle service at e11even now: $31k/month her take: $3,100 your take: $27,900 they all say yes THE MIAMI CLUB RANKING: recruit here in exact order: 1. liv (fontainebleau) - international models 2. e11even (24/7) - party girls who need money 3. story (south beach) - college girls 4. space (downtown) - underground scene 5. basement (edition) - high-end escorts transitioning wednesday-thursday better than weekends less competition from actual rich guys girls more desperate for attention THE ONLYFANS ASSEMBLY LINE: week 1: professional shoot ($500) week 2: launch with 50 posts ready week 3: tiktok spam campaign week 4: instagram reels push month 2: optimize pricing month 3: $15-30k/month steady your only job: - recruit - manage photographers - collect 90% THE BUSINESS MODEL MATH: monthly costs: - tables: $40k (on 0% cards) - photographer: $8k - editors: $5k (philippines) - shoot apartment: $4k total overhead: $57k 20 girls at $15k average: $300k your 90% cut: $270k monthly profit: $213k started with credit cards ending with empire THE SCALE FORMULA: month 1-3: recruit 20 girls month 4-6: optimize content month 7-12: $300k/month automated year 2: expand to NYC/LA year 3: sell for $20m to PE fund 3-year exit from credit cards THE DARK PSYCHOLOGY: these girls could do this alone but they won't they need leadership need someone to blame when dad finds out need the infrastructure you're not exploiting you're organizing they were already selling bottle service now they're CEOs making 10x more THE EXACT RECRUITMENT SCRIPT: "hey i know this is random you're exactly the type my agency represents we manage exclusive content creators everything's handled professionally creators keep 10% pure profit most hit $3-5k/month within 90 days here's my card, let's talk monday" success rate: 40% they all call THE CREDIT TO CASH CONVERSION: $150k in business cards approved liquidate through: - plastiq for "rent": 2.85% fee - paypal "consulting": 2.9% fee - square "services": 2.75% fee $150k credit becomes $145k cash fund entire operation at 0% pay minimums from profits THE COMPETITION ELIMINATION: other "managers" take 50% and provide nothing you take 90% but provide everything: - professional content - daily posting - fan management - marketing strategy girls make more with you at 10% than alone at 100% that's why they stay THE EXIT REALITY: building "talent management agency" 30 active models = $500k/month revenue $6m annual agencies sell for 3-5x exit value: $18-30 million from credit cards to 8 figures in 36 months you're either buying bottles like a sucker or building an empire with bank money choose your side Get $100K at 0% APR guaranteed Link in bio → Scale With Credit

hunter

15,066 次观看 • 9 个月前

My app just hit $7.8k/m in revenue. This is how I'm running ads for mobile apps. To hit 10k/m before I quit my job & fly to Vietnam 🇻🇳 Part One: Apple Ads (First $1k/m). • Repeated this a lot so to summarise: 1. $100 free ad credits, ez mode. 2. Run strict keywords on competitor names. 3. Split into tiers for countries & scale the max bid. 4. Use RevenueCat or Superwall for attribution. 5. Give ad spend & transactions to claude: find winners. 6. Measure the onboarding: tighten funnel. 7. Daily budget can be low at first, like $20. 8. The max bid is the important variable here. 9. This will get you to $1k/m. Part Two: TikSl0p Ads ($1k to $10k) • This is much harder to make profit. • But when you do, it's exponential. • Read Open Book's guide on this first. 1. Make ~6 formats, ~12 creatives. 2. Leave campaign targeting super broad. 3. I do $70/day of campaign budget spend. 4. No demographic or interest settings. 5. Let the algorithm find your perfect user. 6. Give each creative $50 of ad spend. 7. After $50, if (close to) profitable then scale. 8. If no profit, then stop the posts. 9. Use realised LTV to begin with. 10. Simple: revenue / paid customers. 11. 400 IQ chad: aim for profit on initial transaction. 12. Ask Rico for unrealised LTV. Can be hard to calculate. 13. Expect to burn a few hundred $$ to find profit. Notes: If you none of your creatives are profitable, then go back to the drawing board and try again. You're taking $50 gambles each time. When you find a winner, it'll repay the initial investments 100x! This is a game of pain tolerance. You need to be able to stomach losing hundreds of $$$ without seeing any returns. Part Three: Scaling. 1. If you're consistently getting > 2x ROAS. 2. Up your campaign budget by 15%. 3. Do NOT increase more than 30%. 4. Otherwise I will be very very cross with you. 5. You'll kill performance. 6. Performance can be volatile. • Measure ROAS over weeks, not days Notes: When you've found a winning creative, create multiple variations of it. We're talking 100 different kinds. I'm being lazy and need to do this more!! Part Four: Experimental Ad Spend ($10k +). • This is the next level: I've gone 0-1. • I've not seen much sauce on X about scaling past this. • So, this is where I'm at now. I'll share it with all of you. My current position is: 1. Trying out other platforms: Meta, IG, etc 2. Continue reinvesting the profits from previous ads. 3. I'm trying multiple new avenues right now: • Paid influencers, UGC, slideshowmaxxing, etc. Keep pushing, we're all gonna win.
3:34

My app just hit $7.8k/m in revenue. This is how I'm running ads for mobile apps. To hit 10k/m before I quit my job & fly to Vietnam 🇻🇳 Part One: Apple Ads (First $1k/m). • Repeated this a lot so to summarise: 1. $100 free ad credits, ez mode. 2. Run strict keywords on competitor names. 3. Split into tiers for countries & scale the max bid. 4. Use RevenueCat or Superwall for attribution. 5. Give ad spend & transactions to claude: find winners. 6. Measure the onboarding: tighten funnel. 7. Daily budget can be low at first, like $20. 8. The max bid is the important variable here. 9. This will get you to $1k/m. Part Two: TikSl0p Ads ($1k to $10k) • This is much harder to make profit. • But when you do, it's exponential. • Read Open Book's guide on this first. 1. Make ~6 formats, ~12 creatives. 2. Leave campaign targeting super broad. 3. I do $70/day of campaign budget spend. 4. No demographic or interest settings. 5. Let the algorithm find your perfect user. 6. Give each creative $50 of ad spend. 7. After $50, if (close to) profitable then scale. 8. If no profit, then stop the posts. 9. Use realised LTV to begin with. 10. Simple: revenue / paid customers. 11. 400 IQ chad: aim for profit on initial transaction. 12. Ask Rico for unrealised LTV. Can be hard to calculate. 13. Expect to burn a few hundred $$ to find profit. Notes: If you none of your creatives are profitable, then go back to the drawing board and try again. You're taking $50 gambles each time. When you find a winner, it'll repay the initial investments 100x! This is a game of pain tolerance. You need to be able to stomach losing hundreds of $$$ without seeing any returns. Part Three: Scaling. 1. If you're consistently getting > 2x ROAS. 2. Up your campaign budget by 15%. 3. Do NOT increase more than 30%. 4. Otherwise I will be very very cross with you. 5. You'll kill performance. 6. Performance can be volatile. • Measure ROAS over weeks, not days Notes: When you've found a winning creative, create multiple variations of it. We're talking 100 different kinds. I'm being lazy and need to do this more!! Part Four: Experimental Ad Spend ($10k +). • This is the next level: I've gone 0-1. • I've not seen much sauce on X about scaling past this. • So, this is where I'm at now. I'll share it with all of you. My current position is: 1. Trying out other platforms: Meta, IG, etc 2. Continue reinvesting the profits from previous ads. 3. I'm trying multiple new avenues right now: • Paid influencers, UGC, slideshowmaxxing, etc. Keep pushing, we're all gonna win.

Frederick James

17,553 次观看 • 1 个月前

I met the guy behind Paperclip. he won't show his face, but he just built one of the FASTEST growing open-source projects in AI. how to use Paperclip to hire AI agents to ACTUALLY run a startup with 0 employees: 1. with paperclip, you hire a team of AI agents like CEO, engineer, QA, video editor, content strategist and manage them from one dashboard. it works with Claude Code, Codex, OpenCode, or any model on OpenRouter. you're not locked into one provider. 2. your AI agents wake up capable but with zero memory. they don't know who they are, where they are, or what they're supposed to be doing. kinda like that movie memento from back in the day you need to leave them Polaroids like heartbeat checklists, persona prompts, written context. that's how you keep them on track. 3. when an agent makes a mistake, you don't rewrite everything. you add one rule to their persona prompt. "always define a success condition for every task." "always pass work to QA before closing." you're training them like you'd train a junior hire. one correction at a time. 4. skills extend what your agents can do. want a video editor who can produce animated content? install the Remotion skill. want security reviews? there's a skill for that. 5. the biggest lever for quality is encoding your own taste. AI can do everything except know your values. design sensibility, brand voice, success criteria but you have to write it down. 6. don't one-shot your startup. agentic design patterns matter. the simplest one: after the engineer builds something, QA reviews it. structure prevents compounding errors. one-shotting an entire app is fun for 30 minutes, then it falls apart. 7. Paperclip tracks every token spent and every task completed. you can use your existing subscriptions (Claude, Codex) so spend shows as $0, or hook into API credits for real dollar tracking. 8. importable companies are coming. Gary Tan's G-Stack, a full game studio, 300+ agent repos... you can "acqui-hire" a proven agent team into your Paperclip instance instead of building from scratch. the future is downloading a tested org that actually works. 9. routines let you automate recurring work. "every day at 10am, read what was merged into the main branch and write a Discord update celebrating community contributors." it runs, you review, you improve. every task is traceable. 10. maximizer mode is next. you tell the CEO "build this game" and it does whatever it takes and hires who it needs, keeps pressing until it's done. no token anxiety. just outcomes. use Idea Browser for startup ideas/trends to get started thank you for dotta 📎 for doing this podcast and breaking down exactly how people can hire ai agent teams with paperclip you won't find an episode like this anywhere else episode is live on The Startup Ideas Podcast (SIP) 🧃 on your fav platforms (follow for more) is this not the greatest time in history to be building? im rooting for you now go watch my frien
46:41

I met the guy behind Paperclip. he won't show his face, but he just built one of the FASTEST growing open-source projects in AI. how to use Paperclip to hire AI agents to ACTUALLY run a startup with 0 employees: 1. with paperclip, you hire a team of AI agents like CEO, engineer, QA, video editor, content strategist and manage them from one dashboard. it works with Claude Code, Codex, OpenCode, or any model on OpenRouter. you're not locked into one provider. 2. your AI agents wake up capable but with zero memory. they don't know who they are, where they are, or what they're supposed to be doing. kinda like that movie memento from back in the day you need to leave them Polaroids like heartbeat checklists, persona prompts, written context. that's how you keep them on track. 3. when an agent makes a mistake, you don't rewrite everything. you add one rule to their persona prompt. "always define a success condition for every task." "always pass work to QA before closing." you're training them like you'd train a junior hire. one correction at a time. 4. skills extend what your agents can do. want a video editor who can produce animated content? install the Remotion skill. want security reviews? there's a skill for that. 5. the biggest lever for quality is encoding your own taste. AI can do everything except know your values. design sensibility, brand voice, success criteria but you have to write it down. 6. don't one-shot your startup. agentic design patterns matter. the simplest one: after the engineer builds something, QA reviews it. structure prevents compounding errors. one-shotting an entire app is fun for 30 minutes, then it falls apart. 7. Paperclip tracks every token spent and every task completed. you can use your existing subscriptions (Claude, Codex) so spend shows as $0, or hook into API credits for real dollar tracking. 8. importable companies are coming. Gary Tan's G-Stack, a full game studio, 300+ agent repos... you can "acqui-hire" a proven agent team into your Paperclip instance instead of building from scratch. the future is downloading a tested org that actually works. 9. routines let you automate recurring work. "every day at 10am, read what was merged into the main branch and write a Discord update celebrating community contributors." it runs, you review, you improve. every task is traceable. 10. maximizer mode is next. you tell the CEO "build this game" and it does whatever it takes and hires who it needs, keeps pressing until it's done. no token anxiety. just outcomes. use Idea Browser for startup ideas/trends to get started thank you for dotta 📎 for doing this podcast and breaking down exactly how people can hire ai agent teams with paperclip you won't find an episode like this anywhere else episode is live on The Startup Ideas Podcast (SIP) 🧃 on your fav platforms (follow for more) is this not the greatest time in history to be building? im rooting for you now go watch my frien

GREG ISENBERG

463,893 次观看 • 6 个月前

Made $530,000 with Ai Bot that started with $313. Didn't know how to code. Now this bots run 24/7 printing money while sleeping. I've made the exact step-by-step guide to build this Claude Code Polymarket trading bot. Prompts. Code. Risk settings. Paper trading checklist. Everything from zero to running bot. It's free. For 24 hours. After that I'm charging $499 for it. To grab it right now: 1. Comment "Claude Bot" 2. Like and Retweet this post 3. Follow me Himanshu Kumar ( I can't send DMs to non-followers ) I'm DMing everyone who Complete the 3 steps. I spent hundreds of thousands hiring developers because he was too scared to learn. Then learned Claude Code. Built algorithmic trading systems. $313 → $530,000. You have the same tools available right now. And you're using them to ask ChatGPT for Instagram captions. This attached video is a goldmine. Full live walkthrough. Claude Code building actual Polymarket trading bots. From zero. Every line of code. Every decision explained. Now let me break down why everything you're doing in trading is wrong and exactly how to fix it. Save this post. You'll hate yourself if you lose it. ↓ Let's start with why you keep losing money. You already know the answer. You just won't admit it. You overtrade. Every. Single. Day. You see a candle move. You feel something. You enter. No plan. No edge. No reason. Just feelings. Then it goes against you. You feel something else. Panic. Anger. Denial. You move your stop loss. Or you didn't set one at all. "It'll come back." It doesn't come back. So you take another trade. A revenge trade. Bigger size this time. Because you need to "make it back." That one fails too. Now you're emotional. Now you're tilted. Now you're using leverage you have no business touching. 40x. 50x. 100x. On a trade you entered because a candle looked "bullish" and some guy on Twitter said "send it." You get liquidated. Close the laptop. Punch something. Tell yourself you'll be "more disciplined" tomorrow. Tomorrow comes. Same cycle. Same result. Same liquidation. You've been doing this for months. Maybe years. And you still think the problem is your strategy. The problem isn't your strategy. The problem is you. Save this post right now. What I'm about to show you is the only way to remove yourself from the equation. Follow Himanshu Kumar so you don't miss any of this. ↓ Here's what's actually killing your account. It's not the market. The market doesn't care about you. It's not your indicators. RSI works fine. MACD works fine. They all "work." It's not your timeframe. It's not your broker. It's not the "manipulation." It's four things: 1. Emotions. You hold losers because hope feels better than loss. You cut winners because fear feels stronger than greed. You size up when angry. You skip trades when scared. Your emotional state determines your position size. That's insane. And you know it's insane. But you keep doing it. 2. Overtrading. You take 15 trades a day. Maybe 5 of them had actual setups. The other 10 were boredom. Boredom trades are the most expensive hobby in human history. 3. Leverage. You use 20x-50x on trades where you're not even sure about the direction. That's not trading. That's a casino with a nicer interface. 4. Fees. You're smashing market orders. Paying spread. Paying commission. On 15 trades a day. Your broker makes more money from your account than you do. Think about that. Your broker is profitable on your account. You're not. You're the product. Not the trader. These four things are why 90% of traders lose. Not bad luck. Not the market. You. Save this post and follow Himanshu Kumar because the solution is coming next. ↓ The solution is painfully obvious. Remove yourself from the equation. Not partially. Not "I'll be more disciplined." Not "I'll journal my trades." Not "I'll meditate before trading." Completely remove yourself. Build a bot. Let the bot trade. You go live your life. The bot doesn't feel emotions. The bot doesn't overtrade. The bot doesn't use reckless leverage. The bot doesn't smash market orders and bleed fees. The bot follows the rules. Every single time. Without exception. Without "just this once." Without "I have a feeling about this one." Rules in. Execution out. No human in the middle to mess everything up. That's algorithmic trading. And before your ego jumps in with "but I'm different, I have discipline" — No you don't. Your account balance proves you don't. If you had discipline, your account would be green. It's not. So you don't. Accept it. Automate it. Move on. This is the hardest truth in trading. Your discipline will always fail. A bot's won't. Save this post. Follow Himanshu Kumar for the exact bot setup that removes your emotions permanently. ↓ "But I don't know how to code." Neither did he. The guy in this video didn't know how to code for most of his life. Got held back in 7th grade. People counted him out early. Spent years building apps and SaaS businesses without writing a single line of code. Hired developers on Upwork instead. Spent hundreds of thousands of dollars paying other people to build what he could have built himself. Because he was scared to learn. That fear cost him years. And hundreds of thousands of dollars. Sound familiar? You're doing the same thing right now. Not with developers. But with your time. You're spending thousands of hours trading manually because you're scared to learn the thing that would make trading automatic. The fear of learning to code is costing you more than any bad trade ever did. Because every month you trade manually is a month of emotional decisions, overleveraged entries, and unnecessary losses that a bot would never make. And here's the thing that should really frustrate you: AI does the hard parts now. You don't need a computer science degree. You don't need to work at a hedge fund. You don't need to be "good at math." Claude Code writes the code for you. You just need to think clearly about trading ideas. That's it. If you can describe a strategy in English, Claude can build it in Python. "I don't know how to code" stopped being a valid excuse in 2024. It's 2026. You're 2 years late on that excuse. Find a new one. Or stop making excuses entirely. Save this post. Follow Himanshu Kumar because I'm showing you how people with zero coding experience are building profitable bots. ↓ The process that actually makes money. Three letters. R. B. I. Research. Backtest. Implement. That's it. That's the entire process. Every single day. Research: Find an idea. A pattern. A market inefficiency. Don't trade it yet. Don't even think about trading it yet. Just research it. Backtest: Test the idea against historical data. Does it work? Not "does it look good on one chart." Does it work across thousands of trades? Across different market conditions? Across in-sample AND out-of-sample data? If no, kill it. Find another idea. If yes, move to step 3. Implement: Build the bot. Deploy it. Paper trade first. Then live with small size. Scale only on evidence. Research. Backtest. Implement. Every day. No exceptions. You know what your current process is? Feel. Enter. Pray. F. E. P. Feel bullish. Enter a trade. Pray it works. That's not a process. That's gambling with a TradingView subscription. RBI is the only process that works. Save this post. Tattoo it on your forearm. Follow Himanshu Kumar for daily RBI breakdowns. ↓ What Claude Code actually does that your manual process can't. You can maybe test 3-5 strategy ideas per week. Manually adjusting parameters. Manually checking results. Manually writing code (badly). Claude Code tests 50-100 ideas per week. With parallel agents running simultaneously. Multiple strategies being built, tested, and validated at the same time. While you sleep. The guy in this video spends 4-8 hours a day building systems with Claude Code. Not trading. Building. Research. Backtest. Implement. Then iterate. Improve. Optimize. Every day the systems get better. Every day the edge compounds. Every day the bots get smarter. While you? You spend 4-8 hours a day staring at charts making the same mistakes you made last month. Same indicators. Same patterns. Same entries. Same losses. He's iterating forward. You're running in circles. Same 8 hours per day. Completely different outcomes. Because he's building systems. And you're feeding a casino. Stop feeding the casino. Start building the machine. Save this post and follow Himanshu Kumar for the Claude Code workflow that iterates strategies while you sleep. ↓ Jim Simons. That's the benchmark. You probably don't know who Jim Simons is. And that tells me everything about how seriously you take trading. Jim Simons. Mathematician. Founded Renaissance Technologies. Built a net worth of $31 billion. 100% from algorithmic trading. Not one single manual trade. Not one "gut feeling" entry. Not one RSI divergence. Not one "smart money concept." Algorithms. Bots. Systems. Data. $31 billion. His fund averaged 66% annual returns for over 30 years. While you're excited about making $200 on a trade that you'll give back tomorrow. The best trader in human history never placed a manual trade in his life. And you think your edge is staring at a 5-minute chart with bloodshot eyes at 2 AM? Your edge is building the system. Not being inside it. Jim Simons is the benchmark. Everything else is noise. Save this post. Follow Himanshu Kumar because I'm building toward the same goal and showing every step publicly. ↓ What you need to understand about patience. This is not get-rich-overnight. The guy in this video says it directly: "This channel is not for people looking to get rich overnight. It's not plug and play. There are no shortcuts. If you're impatient, this probably isn't for you." And that's exactly why most people will fail at this. Because you want results now. Today. This trade. You don't want to spend a week building a bot. You don't want to paper trade for 2 weeks. You don't want to test 50 ideas to find 1 that works. You want to copy someone's bot, run it live with your rent money, and be rich by Friday. That's why you'll be broke by Friday. The guy making $2.3M spent months iterating. Testing. Failing. Rebuilding. Testing again. He was patient when you would have quit. He was calm when you would have panicked. He was consistent when you would have given up. Patience isn't just a virtue in trading. It's the only virtue. Without it, everything else fails. Impatience is the most expensive personality trait in trading. Save this post. Follow Himanshu Kumar and learn to build systems with the patience that actually pays. ↓ The live streams where the real learning happens. The YouTube video is the trailer. The live streams are the movie. Real-time bot building. Real-time questions answered. Real code shown. Real mistakes made and fixed. Not polished highlight reels where everything works perfectly. Actual development. Where things break. Where strategies fail. Where code doesn't compile. Where the fix takes 2 hours. Because that's what real development looks like. And seeing the messy parts is more valuable than any polished tutorial. Because when your bot breaks at 3 AM, you need to know how to fix it. Not just how to celebrate when it works. The streams mix beginner and advanced. Start with how to automate trading. How to use AI for code generation. Then dive into the daily work. Claude Code. Parallel agents. Constant iteration. Live debugging. 4-8 hours of real algorithmic trading development. Live. Uncut. No filter. Most "trading education" shows you the wins. This shows you the work. Save this post. Follow Himanshu Kumar for the stream schedules and breakdowns. ↓ The belief that changes everything. Code is the greatest equalizer. Not money. Not connections. Not a degree. Not where you grew up. Not what school you went to. Code. Once you can build systems, you can build anything. For the rest of your life. A trading bot today. A SaaS product tomorrow. An automation business next month. A completely different life next year. The skill isn't "algorithmic trading." The skill is building systems. And that skill transfers to everything. The guy who can build a trading bot can also build a lead gen tool. Can also build a content pipeline. Can also build a SaaS product. Can also build literally anything that runs on logic and code. One skill. Infinite applications. And AI makes learning it 100x easier than it was 5 years ago. You don't need to be smart. You don't need talent. You need Claude Code and the willingness to sit down and build something instead of consuming content about building something. Building is the skill. Everything else is entertainment disguised as education. Save this post. Follow Himanshu Kumar because I'm showing you how to build, not just how to watch. ↓ If any of this applies to you, pay attention. If you've lost money from overtrading. If you've been liquidated. If you know trading is the vehicle but manual execution keeps crashing you. If you've tried "being more disciplined" and it never lasted more than a week. If you keep saying "next month I'll start automating." If you've spent more money on courses than you've made from trading. There is a better way. It's not a magic indicator. It's not a signal group. It's not a $997 mentorship from a guy who makes money teaching, not trading. It's building your own system. A system that trades without emotion. A system that follows rules without exception. A system that runs while you sleep. A system that compounds while you live your life. That's the answer. It's always been the answer. You've just been too scared to accept that the solution requires building something instead of buying something. ↓ What the next 30 days look like if you actually commit. Week 1: Watch the video. Learn Claude Code basics. Build your first simple strategy. Run your first backtest. Week 2: Iterate. Let Claude improve the strategy. Run Monte Carlo validation. Paper trade. Week 3: Go live with $50-100. Tiny positions. Watch every trade. Compare to paper results. Week 4: Scale based on evidence. Not based on excitement. Not based on one good day. Based on data. 30 days from now you either have a running bot that trades without your emotions destroying every position. Or you're exactly where you are right now. Reading another post. Making another promise. Breaking it by Tuesday. Same 30 days either way. Different actions. Different results. Different life. ↓ Full video tutorial attached. Live bot building with Claude Code. From zero to running Polymarket trading bot. Every line of code. Every decision explained. The video is free. Claude Code is available now. The market is open 24/7. The only thing standing between you and a profitable trading bot is the same thing that's been standing there for months. You. Get out of your own way. Follow Himanshu Kumar for daily AI trading bot breakdowns, live build sessions, and the full RBI process. Save this post. Watch the video. Build the bot. Or keep trading manually and keep losing. The choice has never been easier. And you've never been more stubborn about making the wrong one.
18:53

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

Himanshu Kumar

38,153 次观看 • 5 个月前

My full talk on the future of AI & media is up! I used Alex Imas's prompt of "What will be scarce?" to propose 4 ways that media is changing, and how writers can still win in the AI age: 1) Secrets > summaries Reporting is the act of taking private knowledge and making it public: when you get a source to tell you about corporate malfeasance, or venture to a remote town that few people have been to, or sneak your way into an underground party, you are working in a space where there is no training data. 2) Live interaction > static content We’re not far from a world where AI can replicate any prose style. But readers want to know there's a real person generating the text—not just the final presentation, but the proof of work behind it. For creators, doing live events, podcasts, and meetups reveal the life behind the voice. And if I care about my ideas, I want people to know about them, no matter the format. 3) Founders > bureaucracies AI is already allowing startups to run leaner by helping founders act as their own marketer, data scientist, engineer, etc. It's the same in media — AI is a boon to jacks-of-all-trades. There’s a lot of stuff AI does that I don't want to: verifying cites, reading contracts, negotiating speaking fees. It's an amazing time for independent creatives who want to direct their own vision. 4) Personal style > polish The house style in most newsrooms is extremely LLMable. What stands out (besides reporting) is a distinct and authentic first-person voice, even if that means the occasional typo / provocation / admitting "I'm not really sure." After all, trust isn't about the perfect sentence: it’s about the track record of who says it. And the stronger your brand, the more trusted you’ll be. I spend a lot of time covering the real disruptions AI brings. But I also believe, for those with the gumption to seize the opportunity, there's never been a better time to be a writer 🧡
14:40

My full talk on the future of AI & media is up! I used Alex Imas's prompt of "What will be scarce?" to propose 4 ways that media is changing, and how writers can still win in the AI age: 1) Secrets > summaries Reporting is the act of taking private knowledge and making it public: when you get a source to tell you about corporate malfeasance, or venture to a remote town that few people have been to, or sneak your way into an underground party, you are working in a space where there is no training data. 2) Live interaction > static content We’re not far from a world where AI can replicate any prose style. But readers want to know there's a real person generating the text—not just the final presentation, but the proof of work behind it. For creators, doing live events, podcasts, and meetups reveal the life behind the voice. And if I care about my ideas, I want people to know about them, no matter the format. 3) Founders > bureaucracies AI is already allowing startups to run leaner by helping founders act as their own marketer, data scientist, engineer, etc. It's the same in media — AI is a boon to jacks-of-all-trades. There’s a lot of stuff AI does that I don't want to: verifying cites, reading contracts, negotiating speaking fees. It's an amazing time for independent creatives who want to direct their own vision. 4) Personal style > polish The house style in most newsrooms is extremely LLMable. What stands out (besides reporting) is a distinct and authentic first-person voice, even if that means the occasional typo / provocation / admitting "I'm not really sure." After all, trust isn't about the perfect sentence: it’s about the track record of who says it. And the stronger your brand, the more trusted you’ll be. I spend a lot of time covering the real disruptions AI brings. But I also believe, for those with the gumption to seize the opportunity, there's never been a better time to be a writer 🧡

jasmine sun

58,503 次观看 • 3 个月前

I know your timeline is flooded now with word salads of "insane, HER, 10 features you missed, we're so back". Sit down. Chill. Take a deep breath like Mark does in the demo . Let's think step by step: - Technique-wise, OpenAI has figured out a way to map audio to audio directly as first-class modality, and stream videos to a transformer in real-time. These require some new research on tokenization and architecture, but overall it's a data and system optimization problem (as most things are). High-quality data can come from at least 2 sources: 1) Naturally occurring dialogues on YouTube, podcasts, TV series, movies, etc. Whisper can be trained to identify speaker turns in a dialogue or separate overlapping speeches for automated annotation. 2) Synthetic data. Run the slow 3-stage pipeline using the most powerful models: speech1->text1 (ASR), text1->text2 (LLM), text2->speech2 (TTS). The middle LLM can decide when to stop and also simulate how to resume from interruption. It could output additional "thought traces" that are not verbalized to help generate better reply. Then GPT-4o distills directly from speech1->speech2, with optional auxiliary loss functions based on the 3-stage data. After distillation, these behaviors are now baked into the model without emitting intermediate texts. On the system side: the latency would not meet real-time threshold if every video frame is decompressed into an RGB image. OpenAI has likely developed their own neural-first, streaming video codec to transmit the motion deltas as tokens. The communication protocol and NN inference must be co-optimized. For example, there could be a small and energy-efficient NN running on the edge device that decides to transmit more tokens if the video is interesting, and fewer otherwise. - I didn't expect GPT-4o to be closer to GPT-5, the rumored "Arrakis" model that takes multimodal in and out. In fact, it's likely an early checkpoint of GPT-5 that hasn't finished training yet. The branding betrays a certain insecurity. Ahead of Google I/O, OpenAI would rather beat our mental projection of GPT-4.5 than disappoint by missing the sky-high expectation for GPT-5. A smart move to buy more time. - Notably, the assistant is much more lively and even a bit flirty. GPT-4o is trying (perhaps a bit too hard) to sound like HER. OpenAI is eating Character AI's lunch, with almost 100% overlap in form factor and huge distribution channels. It's a pivot towards more emotional AI with strong personality, which OpenAI seemed to actively suppress in the past. - Whoever wins Apple first wins big time. I see 3 levels of integration with iOS: 1) Ditch Siri. OpenAI distills a smaller-tier, purely on-device GPT-4o for iOS, with optional paid upgrade to use the cloud. 2) Native features to stream the camera or screen into the model. Chip-level support for neural audio/video codec. 3) Integrate with iOS system-level action API and smart home APIs. No one uses Siri Shortcuts, but it's time to resurrect. This could become the AI agent product with a billion users from the get-go. The FSD for smartphones with a Tesla-scale data flywheel.
14:22

I know your timeline is flooded now with word salads of "insane, HER, 10 features you missed, we're so back". Sit down. Chill. Take a deep breath like Mark does in the demo . Let's think step by step: - Technique-wise, OpenAI has figured out a way to map audio to audio directly as first-class modality, and stream videos to a transformer in real-time. These require some new research on tokenization and architecture, but overall it's a data and system optimization problem (as most things are). High-quality data can come from at least 2 sources: 1) Naturally occurring dialogues on YouTube, podcasts, TV series, movies, etc. Whisper can be trained to identify speaker turns in a dialogue or separate overlapping speeches for automated annotation. 2) Synthetic data. Run the slow 3-stage pipeline using the most powerful models: speech1->text1 (ASR), text1->text2 (LLM), text2->speech2 (TTS). The middle LLM can decide when to stop and also simulate how to resume from interruption. It could output additional "thought traces" that are not verbalized to help generate better reply. Then GPT-4o distills directly from speech1->speech2, with optional auxiliary loss functions based on the 3-stage data. After distillation, these behaviors are now baked into the model without emitting intermediate texts. On the system side: the latency would not meet real-time threshold if every video frame is decompressed into an RGB image. OpenAI has likely developed their own neural-first, streaming video codec to transmit the motion deltas as tokens. The communication protocol and NN inference must be co-optimized. For example, there could be a small and energy-efficient NN running on the edge device that decides to transmit more tokens if the video is interesting, and fewer otherwise. - I didn't expect GPT-4o to be closer to GPT-5, the rumored "Arrakis" model that takes multimodal in and out. In fact, it's likely an early checkpoint of GPT-5 that hasn't finished training yet. The branding betrays a certain insecurity. Ahead of Google I/O, OpenAI would rather beat our mental projection of GPT-4.5 than disappoint by missing the sky-high expectation for GPT-5. A smart move to buy more time. - Notably, the assistant is much more lively and even a bit flirty. GPT-4o is trying (perhaps a bit too hard) to sound like HER. OpenAI is eating Character AI's lunch, with almost 100% overlap in form factor and huge distribution channels. It's a pivot towards more emotional AI with strong personality, which OpenAI seemed to actively suppress in the past. - Whoever wins Apple first wins big time. I see 3 levels of integration with iOS: 1) Ditch Siri. OpenAI distills a smaller-tier, purely on-device GPT-4o for iOS, with optional paid upgrade to use the cloud. 2) Native features to stream the camera or screen into the model. Chip-level support for neural audio/video codec. 3) Integrate with iOS system-level action API and smart home APIs. No one uses Siri Shortcuts, but it's time to resurrect. This could become the AI agent product with a billion users from the get-go. The FSD for smartphones with a Tesla-scale data flywheel.

Jim Fan

992,016 次观看 • 2 年前

If you’re still into web3 gaming, here’s why you need to pivot to Fableborne: 1. We have true, data backed, battle-tested conviction in Fableborne from a core loop, player progression, and marketability perspectives. 1a. Pixion Games, our studio creating Fableborne, has killed 5 games prior to Fableborne. Emotional ties, hard work, and lots of time went into those 5. But as we know in game dev, you have to cut your losses when you know it won’t be a hit. Gaming is a hits driven business. You either create a mega hit, or you die. The space is too consolidated to be good, great or exceptional. You need to be a hit. 1b. So why didn’t we kill Fableborne and why do we believe it will be a hit? If you’re doing it right, each game you “kill” should get you one step closer to your hit title. Time not wasted, and taking learnings along the way. As I said above, we’ve performed marketability tests and battle tested Fableborne over and over. When the data is as strong as it was for Fableborne, you go all in. Now it’s up to our team to execute and deliver. 1c. Speaking of the team, how do we know that the people looking at this data I’m talking about know how to use it and execute upon it? I can go on and on about every one of our 25 team members, but let’s look at 2 key players: The man leading the charge Kam, our founder, does not lose. I see lots of Pokemon and Magic The Gathering TCG fans in Web3. Well Kam was given the impossible task of talking Yugioh at Konami, and beating out these two giants. He grew Yugioh to a 9 figure market in Europe and crushed them both. If that isn’t impressive to you, I SUMMON POT OF GREED AND DRAW TWO ADDITIONAL CARDS! We have Maria | Fableborne. Lots of you web3 mfs post about the Grand Exchange and say RuneScape streets raised you. Maria, who leads our Product and Game design was the product manager at Jagex/Runescape for their live-ops and player UA funnels. I give you free armor trimming in Fableborne. TLDR, our team is stacked and the best in web3. 1d. Now does all of the above guarantee success? Of course not. But in this space you have the luxury of being able to place bets on success. Our conviction in Fableborne is more than strong. Our testing (pre-tge might I add not after 🥴) indicates we could have a hit on our hands. Which is why we are also confident in Fableborne leading the charge for $POWER and Power Protocol. You don’t launch a token without max, data backed, battle tested conviction, and we have it in droves. 2. The game creates viral, organic hype. Much to the dismay of our community, Fableborne has only been live and playable for about 10-11 weeks in the last 14 months. Believe it or not. Yet it’s still touted as one of, and to many, the best game in web3. When we turn it on, it has taken over the timeline and CT mindshare every single time. Millions in earned media from true organic UGC. We haven’t done massive creator prize pools, info-fi slop, “ambassadors” who are paid shills renamed as ambassadors who are ambassadors for 50 different companies, etc. we’ve worked with some creators for sure, but the hype is real at large. For example, we’ve worked with Kyroh, but it was not part of any of his deal to acquire 3% of our NFTs. He does that because he has max conviction and wants to be king. 2a. The above has been with Fableborne at ~35% of its full potential. It will only get more fun, more complete of an experience, more powerful. Some of these new systems will be available for you in S4 👀 I’m running out of characters. Join us. join Fableborne. Sentiment on gaming is at an all time low . Probably means there’s no better time to get in. If web3 gaming needs a hero , it just might be us . Gn
1:24

If you’re still into web3 gaming, here’s why you need to pivot to Fableborne: 1. We have true, data backed, battle-tested conviction in Fableborne from a core loop, player progression, and marketability perspectives. 1a. Pixion Games, our studio creating Fableborne, has killed 5 games prior to Fableborne. Emotional ties, hard work, and lots of time went into those 5. But as we know in game dev, you have to cut your losses when you know it won’t be a hit. Gaming is a hits driven business. You either create a mega hit, or you die. The space is too consolidated to be good, great or exceptional. You need to be a hit. 1b. So why didn’t we kill Fableborne and why do we believe it will be a hit? If you’re doing it right, each game you “kill” should get you one step closer to your hit title. Time not wasted, and taking learnings along the way. As I said above, we’ve performed marketability tests and battle tested Fableborne over and over. When the data is as strong as it was for Fableborne, you go all in. Now it’s up to our team to execute and deliver. 1c. Speaking of the team, how do we know that the people looking at this data I’m talking about know how to use it and execute upon it? I can go on and on about every one of our 25 team members, but let’s look at 2 key players: The man leading the charge Kam, our founder, does not lose. I see lots of Pokemon and Magic The Gathering TCG fans in Web3. Well Kam was given the impossible task of talking Yugioh at Konami, and beating out these two giants. He grew Yugioh to a 9 figure market in Europe and crushed them both. If that isn’t impressive to you, I SUMMON POT OF GREED AND DRAW TWO ADDITIONAL CARDS! We have Maria | Fableborne. Lots of you web3 mfs post about the Grand Exchange and say RuneScape streets raised you. Maria, who leads our Product and Game design was the product manager at Jagex/Runescape for their live-ops and player UA funnels. I give you free armor trimming in Fableborne. TLDR, our team is stacked and the best in web3. 1d. Now does all of the above guarantee success? Of course not. But in this space you have the luxury of being able to place bets on success. Our conviction in Fableborne is more than strong. Our testing (pre-tge might I add not after 🥴) indicates we could have a hit on our hands. Which is why we are also confident in Fableborne leading the charge for $POWER and Power Protocol. You don’t launch a token without max, data backed, battle tested conviction, and we have it in droves. 2. The game creates viral, organic hype. Much to the dismay of our community, Fableborne has only been live and playable for about 10-11 weeks in the last 14 months. Believe it or not. Yet it’s still touted as one of, and to many, the best game in web3. When we turn it on, it has taken over the timeline and CT mindshare every single time. Millions in earned media from true organic UGC. We haven’t done massive creator prize pools, info-fi slop, “ambassadors” who are paid shills renamed as ambassadors who are ambassadors for 50 different companies, etc. we’ve worked with some creators for sure, but the hype is real at large. For example, we’ve worked with Kyroh, but it was not part of any of his deal to acquire 3% of our NFTs. He does that because he has max conviction and wants to be king. 2a. The above has been with Fableborne at ~35% of its full potential. It will only get more fun, more complete of an experience, more powerful. Some of these new systems will be available for you in S4 👀 I’m running out of characters. Join us. join Fableborne. Sentiment on gaming is at an all time low . Probably means there’s no better time to get in. If web3 gaming needs a hero , it just might be us . Gn

Tcaff 🎮👨‍🍳

26,211 次观看 • 1 年前

Three days ago I asked myself a dumb question. It was so stupid I was actually ashamed to Google it. Can AI earn money while I sleep? Not saving time. Not automating routine. I mean putting real money into my account while I am not looking at the screen. Everyone says ClawdBot will change how we work. Automation. Task management. Smart replies. But I was sitting in my kitchen thinking about something else entirely. You know that feeling when you look at a tool and realize everyone is using only 1% of its potential? It is like being given a race car and only using it to drive to the store for bread. I decided to test it. I started a notebook. I record everything. > Day One I started with something simple. I gave Clawdbot a task. Find wallets on Polymarket where the numbers do not add up. Where the profit is too high for the win rate. Where the result smells like a system rather than luck. It thought for 14 minutes. I had time to pour a coffee and forget about it. Then the screen flashed. 4 addresses. I scrolled through the first three in a minute. Big bets on politics. They guessed the election. Classic. On the fourth one I stopped. Not because it was the most profitable but because I did not understand what I was looking at. The wallet was not trading politics or sports or anything people write reviews about. It was trading the weather. I read it three times. Weather. Will it be 9 degrees in London tomorrow? Will it rain in Tokyo? These are markets I would not even click on by accident. Then I looked at the numbers. > It started with $27. It is now at $63,853. $27 is two trips to McDonald's. It is nothing. $63,853 is a new car or a down payment on an apartment. It is two years of someone's salary. Between those two numbers was only one thing. Thousands of bets on rain. I closed the tab. Opened it again. Checked if it was a glitch. Real dollars. On markets that look like a bad joke. > Day Two I could not get that wallet out of my head. I went to look at its transaction history. I expected to find one big win that explained everything. A lucky hurricane forecast. Instead I saw thousands of small bets. Boring. "Will the temperature in New York be above 15 degrees?" Then I noticed the detail that finally broke my brain. Its win rate: 33%. It loses more often than it wins. 2 out of 3 bets go to zero. Any normal person with that result would be posting about how the market is unfair. Yet this wallet is sitting on $63,000 in profit. How? I started deconstructing the trades. After an hour I got it. When it loses, it loses 10 or 20 cents. When it wins, it takes $1.00. Loses 9 times in a row? Lost $1.80. Wins 1 time? Got $10.00. > This is not trading. It is math that works as long as you do not interfere with your emotions. Here is how it works. Weather is one of the most predictable things on the planet. Governments invest billions in satellites. Data is updated every 2 or 3 hours. Precision to a tenth of a degree. This data is public. But Polymarket is not a weather station. It updates its markets with a delay of 6 or 8 hours. Imagine the situation. 6 AM. The weather service updated the forecast. The probability that London reaches 9 degrees tomorrow rose to 80%. Algorithms everywhere already recalculated the data. But on Polymarket the YES button is still sitting there for 10 cents. Because the market has not woken up yet. This bot sees the difference. It buys YES for 10 cents when the real probability is already 80%. It is not guessing. It is buying what is essentially already known. It just waits a day and collects the dollar. 10 cents turn into a dollar. On information available to anyone who can read weather APIs. That evening I called a friend. He has been trading for 3 years. He sits in analytical chats. Draws support levels. I asked him: "How was the last month?" "I broke even. The market is tough right now. Too much noise." I looked at the screen. A bot betting on rain with a 33% win rate. Profit: $63,853. My friend with 3 years of experience and hundreds of hours of analysis. Profit: $0. Who is doing it wrong? I am not asking you to take my word for it. The blockchain does not lie: > Day Three I decided to dig deeper. I looked at the wallet description. I expected something complex. A hedge fund. A team of developers. Secret data sources. I found one line: Claude plus public weather APIs. Ordinary Claude. The one on your phone. Connected to free weather services. No secret stations. No insiders. No millions for infrastructure. Just an AI doing what any of us could do. But we are too lazy. Or bored. Or we think it is too simple to work. If someone already built this with basic Claude and free APIs... What happens when Clawdbot gets direct access to trading? > Day Four I watched the wallet in real time. First bet: loss. Second bet: loss. Third bet: loss. I thought: this is it. The statistics are collapsing. Fourth bet: loss. Fifth bet: loss. Down $12 in an hour. I was ready to write a post about how I overestimated this. Sixth bet: Temperature in Chicago. Win. +$87. Seventh bet: Win. +$94. By evening: 9 losses. 5 wins. Daily total: +$385. No emotions. No posts about injustice. No strategy changes after a loss. Just the next bet. I wrote to my friend. The one who has been trading for 3 years. "How was your day?" "Down $200. Market makers caught my stop loss again." I looked at the screen. A bot with no posts and no loud claims. +$385 for the day on rain bets. My friend with 3 years of experience and dozens of books. Minus $200 and a post about how the system is against him. > Day Five I woke up with a thought that kept me up all night. It finally hit me. It is not about the weather. It is not about APIs. It is not that the bot is "smarter". > It is about what the bot does NOT have: an ego that hates being wrong. No urge to revenge-trade. No boredom from repetition. My friend trades against the market. He tries to be smarter than the crowd. This bot trades against human nature. And nature loses every day. Clawdbot found me this wallet in 14 minutes. The weather bot turned $27 into $63,000 on markets everyone else thinks are trash. Both use the same principle. Do something simple. Remove emotions. Repeat. I do not know when Clawdbot will start trading on its own. Maybe in a month. Maybe in a year. But I know one thing. While we discuss if it is possible... Someone already set up their bot and went to live their life. Right now as you read this. Somewhere a weather service updated a forecast. Polymarket is sleeping. The bot is already entering a position. And my friend is writing a post about how market makers do not let honest people earn. Guess who wakes up tomorrow with money in their account?
0:25

Three days ago I asked myself a dumb question. It was so stupid I was actually ashamed to Google it. Can AI earn money while I sleep? Not saving time. Not automating routine. I mean putting real money into my account while I am not looking at the screen. Everyone says ClawdBot will change how we work. Automation. Task management. Smart replies. But I was sitting in my kitchen thinking about something else entirely. You know that feeling when you look at a tool and realize everyone is using only 1% of its potential? It is like being given a race car and only using it to drive to the store for bread. I decided to test it. I started a notebook. I record everything. > Day One I started with something simple. I gave Clawdbot a task. Find wallets on Polymarket where the numbers do not add up. Where the profit is too high for the win rate. Where the result smells like a system rather than luck. It thought for 14 minutes. I had time to pour a coffee and forget about it. Then the screen flashed. 4 addresses. I scrolled through the first three in a minute. Big bets on politics. They guessed the election. Classic. On the fourth one I stopped. Not because it was the most profitable but because I did not understand what I was looking at. The wallet was not trading politics or sports or anything people write reviews about. It was trading the weather. I read it three times. Weather. Will it be 9 degrees in London tomorrow? Will it rain in Tokyo? These are markets I would not even click on by accident. Then I looked at the numbers. > It started with $27. It is now at $63,853. $27 is two trips to McDonald's. It is nothing. $63,853 is a new car or a down payment on an apartment. It is two years of someone's salary. Between those two numbers was only one thing. Thousands of bets on rain. I closed the tab. Opened it again. Checked if it was a glitch. Real dollars. On markets that look like a bad joke. > Day Two I could not get that wallet out of my head. I went to look at its transaction history. I expected to find one big win that explained everything. A lucky hurricane forecast. Instead I saw thousands of small bets. Boring. "Will the temperature in New York be above 15 degrees?" Then I noticed the detail that finally broke my brain. Its win rate: 33%. It loses more often than it wins. 2 out of 3 bets go to zero. Any normal person with that result would be posting about how the market is unfair. Yet this wallet is sitting on $63,000 in profit. How? I started deconstructing the trades. After an hour I got it. When it loses, it loses 10 or 20 cents. When it wins, it takes $1.00. Loses 9 times in a row? Lost $1.80. Wins 1 time? Got $10.00. > This is not trading. It is math that works as long as you do not interfere with your emotions. Here is how it works. Weather is one of the most predictable things on the planet. Governments invest billions in satellites. Data is updated every 2 or 3 hours. Precision to a tenth of a degree. This data is public. But Polymarket is not a weather station. It updates its markets with a delay of 6 or 8 hours. Imagine the situation. 6 AM. The weather service updated the forecast. The probability that London reaches 9 degrees tomorrow rose to 80%. Algorithms everywhere already recalculated the data. But on Polymarket the YES button is still sitting there for 10 cents. Because the market has not woken up yet. This bot sees the difference. It buys YES for 10 cents when the real probability is already 80%. It is not guessing. It is buying what is essentially already known. It just waits a day and collects the dollar. 10 cents turn into a dollar. On information available to anyone who can read weather APIs. That evening I called a friend. He has been trading for 3 years. He sits in analytical chats. Draws support levels. I asked him: "How was the last month?" "I broke even. The market is tough right now. Too much noise." I looked at the screen. A bot betting on rain with a 33% win rate. Profit: $63,853. My friend with 3 years of experience and hundreds of hours of analysis. Profit: $0. Who is doing it wrong? I am not asking you to take my word for it. The blockchain does not lie: > Day Three I decided to dig deeper. I looked at the wallet description. I expected something complex. A hedge fund. A team of developers. Secret data sources. I found one line: Claude plus public weather APIs. Ordinary Claude. The one on your phone. Connected to free weather services. No secret stations. No insiders. No millions for infrastructure. Just an AI doing what any of us could do. But we are too lazy. Or bored. Or we think it is too simple to work. If someone already built this with basic Claude and free APIs... What happens when Clawdbot gets direct access to trading? > Day Four I watched the wallet in real time. First bet: loss. Second bet: loss. Third bet: loss. I thought: this is it. The statistics are collapsing. Fourth bet: loss. Fifth bet: loss. Down $12 in an hour. I was ready to write a post about how I overestimated this. Sixth bet: Temperature in Chicago. Win. +$87. Seventh bet: Win. +$94. By evening: 9 losses. 5 wins. Daily total: +$385. No emotions. No posts about injustice. No strategy changes after a loss. Just the next bet. I wrote to my friend. The one who has been trading for 3 years. "How was your day?" "Down $200. Market makers caught my stop loss again." I looked at the screen. A bot with no posts and no loud claims. +$385 for the day on rain bets. My friend with 3 years of experience and dozens of books. Minus $200 and a post about how the system is against him. > Day Five I woke up with a thought that kept me up all night. It finally hit me. It is not about the weather. It is not about APIs. It is not that the bot is "smarter". > It is about what the bot does NOT have: an ego that hates being wrong. No urge to revenge-trade. No boredom from repetition. My friend trades against the market. He tries to be smarter than the crowd. This bot trades against human nature. And nature loses every day. Clawdbot found me this wallet in 14 minutes. The weather bot turned $27 into $63,000 on markets everyone else thinks are trash. Both use the same principle. Do something simple. Remove emotions. Repeat. I do not know when Clawdbot will start trading on its own. Maybe in a month. Maybe in a year. But I know one thing. While we discuss if it is possible... Someone already set up their bot and went to live their life. Right now as you read this. Somewhere a weather service updated a forecast. Polymarket is sleeping. The bot is already entering a position. And my friend is writing a post about how market makers do not let honest people earn. Guess who wakes up tomorrow with money in their account?

Blaze

29,808 次观看 • 7 个月前

🙌Meet Artifig: A Figma Plugin to Generate Figma Plugins Do you use Figma and ever feel like this: - Your mind is bursting with plugin ideas, but you can't bring them to life because you don't know how to code? - You want to focus on design, but repetitive tasks keep slowing you down? - You dream of creating custom tools for your team, but lack the time or resources? I’ve been there too. That’s why I created Artifig. ✨ What is Artifig? Artifig is an AI-powered Figma plugin that empowers anyone to build their own Figma plugins using just natural language. No coding needed—simply describe what you want, and watch as your idea transforms into a fully functional, real-time plugin. 🚀 Redefining Figma Plugin Development The core philosophy of Artifig is simple: Designers often have countless ideas and creative visions, but many of them remain unrealized due to a lack of technical skills. We believe designers shouldn’t be limited by their inability to code. You should focus on creating, not be held back by technical barriers or repetitive tasks. Artifig takes you directly from "description" to "implementation." 🛠️ How Does It Work? 1. Describe Your Needs: Tell Artifig what you want, like “Create a skew transformation tool for objects, supporting horizontal and vertical skew with real-time preview functionality.” 2. Generate and Run the Plugin: Artifig instantly generates the plugin and runs it right within Figma. For example, the generated plugin can apply skew transformations to objects, precisely controlled via matrix transformations, with an intuitive user experience. 3. Optimize and Iteration: Need adjustments? Simply describe them, and Artifig will Iterating the plugin step by step. 4. Share Your Creations: Publish your plugins to the Artifig community, or remix plugins shared by others to build on their ideas. No learning curve. No complex steps. It’s as simple as that. 🌟 Key Features - Zero Barrier to Entry: No coding experience needed—any Figma user can create plugins effortlessly. - Multilingual Support: Works in multiple languages, including English, Chinese, French, Japanese, and German. - What-You-See-Is-What-You-Get: Generated plugins run in real-time, so you can quickly validate and refine your ideas. - Open and Flexible: The generated plugin code is 100% yours—modify it, distribute it, even use it commercially. - Global Community: Share your plugins, explore others’ creations, and publish your plugins to the Figma community. 🎯 Why is Artifig a Game-Changer? 1. No More Repetitive Work Let AI handle the tedious, time-consuming tasks: batch renaming layers, auto-aligning elements, or applying styles in bulk. All you need to do is say, “Import a PDF and arrange each image on the canvas with 20px spacing.” 2. Quickly Bring Ideas to Life From color contrast checks to data imports and custom components, all your “what if we could” ideas can now become plugins. Just one natural language description, and Artifig makes it happen. 3. Custom Tools for Your Team Build tailored tools for your team, creating unique solutions to streamline your workflow. 4. Not Just a Tool, But a Learning Experience Artifig explains the logic behind the code it generates, helping you understand Figma APIs and JavaScript. Today, you’re a designer; tomorrow, you could also be a design engineer. 🧑‍🚀👩🏻‍💻🥷🏻 Who is Artifig For? - Beginners: No development experience needed—just describe your ideas and let Artifig do the rest. - Experts: Save time and focus on high-value tasks while Artifig handles the repetitive work. - Learners: Use Artifig as a bridge to deepen your understanding of development. - Teams: Build custom tools to enhance collaboration and efficiency. 🎉 Ready to Get Started? I believe designers’ time and focus should be spent on creating, not on wrestling with complex tools. Artifig is the first step toward realizing this vision. Try Artifig now and experience an unprecedented flow of creativity!
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🙌Meet Artifig: A Figma Plugin to Generate Figma Plugins Do you use Figma and ever feel like this: - Your mind is bursting with plugin ideas, but you can't bring them to life because you don't know how to code? - You want to focus on design, but repetitive tasks keep slowing you down? - You dream of creating custom tools for your team, but lack the time or resources? I’ve been there too. That’s why I created Artifig. ✨ What is Artifig? Artifig is an AI-powered Figma plugin that empowers anyone to build their own Figma plugins using just natural language. No coding needed—simply describe what you want, and watch as your idea transforms into a fully functional, real-time plugin. 🚀 Redefining Figma Plugin Development The core philosophy of Artifig is simple: Designers often have countless ideas and creative visions, but many of them remain unrealized due to a lack of technical skills. We believe designers shouldn’t be limited by their inability to code. You should focus on creating, not be held back by technical barriers or repetitive tasks. Artifig takes you directly from "description" to "implementation." 🛠️ How Does It Work? 1. Describe Your Needs: Tell Artifig what you want, like “Create a skew transformation tool for objects, supporting horizontal and vertical skew with real-time preview functionality.” 2. Generate and Run the Plugin: Artifig instantly generates the plugin and runs it right within Figma. For example, the generated plugin can apply skew transformations to objects, precisely controlled via matrix transformations, with an intuitive user experience. 3. Optimize and Iteration: Need adjustments? Simply describe them, and Artifig will Iterating the plugin step by step. 4. Share Your Creations: Publish your plugins to the Artifig community, or remix plugins shared by others to build on their ideas. No learning curve. No complex steps. It’s as simple as that. 🌟 Key Features - Zero Barrier to Entry: No coding experience needed—any Figma user can create plugins effortlessly. - Multilingual Support: Works in multiple languages, including English, Chinese, French, Japanese, and German. - What-You-See-Is-What-You-Get: Generated plugins run in real-time, so you can quickly validate and refine your ideas. - Open and Flexible: The generated plugin code is 100% yours—modify it, distribute it, even use it commercially. - Global Community: Share your plugins, explore others’ creations, and publish your plugins to the Figma community. 🎯 Why is Artifig a Game-Changer? 1. No More Repetitive Work Let AI handle the tedious, time-consuming tasks: batch renaming layers, auto-aligning elements, or applying styles in bulk. All you need to do is say, “Import a PDF and arrange each image on the canvas with 20px spacing.” 2. Quickly Bring Ideas to Life From color contrast checks to data imports and custom components, all your “what if we could” ideas can now become plugins. Just one natural language description, and Artifig makes it happen. 3. Custom Tools for Your Team Build tailored tools for your team, creating unique solutions to streamline your workflow. 4. Not Just a Tool, But a Learning Experience Artifig explains the logic behind the code it generates, helping you understand Figma APIs and JavaScript. Today, you’re a designer; tomorrow, you could also be a design engineer. 🧑‍🚀👩🏻‍💻🥷🏻 Who is Artifig For? - Beginners: No development experience needed—just describe your ideas and let Artifig do the rest. - Experts: Save time and focus on high-value tasks while Artifig handles the repetitive work. - Learners: Use Artifig as a bridge to deepen your understanding of development. - Teams: Build custom tools to enhance collaboration and efficiency. 🎉 Ready to Get Started? I believe designers’ time and focus should be spent on creating, not on wrestling with complex tools. Artifig is the first step toward realizing this vision. Try Artifig now and experience an unprecedented flow of creativity!

yancymin

21,222 次观看 • 1 年前