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A 26-YEAR-OLD DEVELOPER GAVE CLAUDE A 14-MONTH-OLD CODEBASE AT 11:42 PM. BY 1 AM IT HAD CLEARED THREE WEEKS OF HIS BACKLOG 47,000 lines. 18 open bugs. $20 a month opens the repo. gives Claude one broken payment test and a 6-line acceptance criteria file. tells it not to...

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Lummox

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13,042 Aufrufe • vor 14 Tagen •via X (Twitter)

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🚨TikTok spends $2,000,000,000 a year on the algorithm that predicts what goes viral before you see it. a 19-year-old built his own version for $50 a month and made $11,900 from it last month. he tracks 40 channels in one Google Sheet, scores every outlier against the channel's own median, and feeds the top patterns to Claude. > Claude extracts the format and writes the shot list: 20 minutes > CapCut builds the vertical: 40 minutes > Make publishes to every platform and logs the result: automatic $50/month in tools. 4 hours to set up. runs every day since. most channels post first and hope. he checks what already won, then points it at a new subject. full breakdown of the scoring method below.
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🚨TikTok spends $2,000,000,000 a year on the algorithm that predicts what goes viral before you see it. a 19-year-old built his own version for $50 a month and made $11,900 from it last month. he tracks 40 channels in one Google Sheet, scores every outlier against the channel's own median, and feeds the top patterns to Claude. > Claude extracts the format and writes the shot list: 20 minutes > CapCut builds the vertical: 40 minutes > Make publishes to every platform and logs the result: automatic $50/month in tools. 4 hours to set up. runs every day since. most channels post first and hope. he checks what already won, then points it at a new subject. full breakdown of the scoring method below.

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A 19-year-old Chinese student spent $20 on Claude and built a YouTube automation system making $7,400/month. Found 12 small channels getting 300,000+ views from the same lazy formats, copied the structure, not the videos. Titles, thumbnails, pacing, hooks, upload schedule. 30 minutes later, Claude turned the winning patterns into 40 new video ideas. AI tools made the visuals, voiceovers and captions. CapCut packaged everything into Shorts. He didn’t edit a single video manually. Started testing 20-30 uploads a day across multiple channels. Most failed, but the winners kept pulling views automatically. Month 1 - $430 from test videos. Month 3 - $2,800. Month 6 - $7,400+ every month from channels running while he sleeps. University makes you pay $100,000 to learn theory for 4 years. He spent $20, opened 4 browser windows and let YouTube data tell him what to make next.
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A 19-year-old Chinese student spent $20 on Claude and built a YouTube automation system making $7,400/month. Found 12 small channels getting 300,000+ views from the same lazy formats, copied the structure, not the videos. Titles, thumbnails, pacing, hooks, upload schedule. 30 minutes later, Claude turned the winning patterns into 40 new video ideas. AI tools made the visuals, voiceovers and captions. CapCut packaged everything into Shorts. He didn’t edit a single video manually. Started testing 20-30 uploads a day across multiple channels. Most failed, but the winners kept pulling views automatically. Month 1 - $430 from test videos. Month 3 - $2,800. Month 6 - $7,400+ every month from channels running while he sleeps. University makes you pay $100,000 to learn theory for 4 years. He spent $20, opened 4 browser windows and let YouTube data tell him what to make next.

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19-year-old from china makes $9,000/month designing product sites and ships each one in an afternoon. here's his exact setup the whole thing runs on two tools that each do one job: > brief written by hand: 5 min > Moonchild builds the design system, then every screen from it: 20 min > MCP hands the design to Claude as real structure, not a screenshot: instant > Claude Code reads those exact tokens and builds the live app: 20 min > second Claude session reviews the build for drift: 10 min total: about an hour. screen five still matches screen one. no agency, no dev, no design team the trick is MCP. the design tool passes Claude the actual colors, components and layout, so it builds from the source instead of guessing from a picture. full pipeline, every prompt, in the article above.
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19-year-old from china makes $9,000/month designing product sites and ships each one in an afternoon. here's his exact setup the whole thing runs on two tools that each do one job: > brief written by hand: 5 min > Moonchild builds the design system, then every screen from it: 20 min > MCP hands the design to Claude as real structure, not a screenshot: instant > Claude Code reads those exact tokens and builds the live app: 20 min > second Claude session reviews the build for drift: 10 min total: about an hour. screen five still matches screen one. no agency, no dev, no design team the trick is MCP. the design tool passes Claude the actual colors, components and layout, so it builds from the source instead of guessing from a picture. full pipeline, every prompt, in the article above.

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Karpathy method + Claude Code reading your whole Obsidian vault is the smartest second brain on earth. The method is simple and brutal. If you can’t build a thing from scratch, you don’t know it. Tutorials are fake learning and your brain deletes them in 3 days. Most people ignore this. They build a second brain that just sits there, folders of notes nobody reopens, dead text. Point Claude Code at the vault and it wakes up. 5,000 notes, one mind. It reads all of it and answers in your own words and your own proofs, not a model’s guess. Then the loop closes. Want to understand neural nets? Skip the 3-hour video and ask Claude Code to build a tiny one. 200 lines from scratch. Watch it train, break a layer, watch it fail, fix it. It clicks in 20 minutes instead of 3 weeks. The second it lands the note gets written. One idea per file, linked to 10 others, dropped into the vault while the memory is still hot. Now it compounds. Month 1: is 60 notes. Month 6 is 900. Every new note pulls in old ones, so you ask anything and the answer comes from your brain, not the internet. Before: 40 tabs, 6 half read PDF, 0 retained. After: build it once, own it for life. Setup takes 4 minutes. Plain text, no lock-in. A second brain nobody reads is a graveyard. Yours just started thinking.
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Karpathy method + Claude Code reading your whole Obsidian vault is the smartest second brain on earth. The method is simple and brutal. If you can’t build a thing from scratch, you don’t know it. Tutorials are fake learning and your brain deletes them in 3 days. Most people ignore this. They build a second brain that just sits there, folders of notes nobody reopens, dead text. Point Claude Code at the vault and it wakes up. 5,000 notes, one mind. It reads all of it and answers in your own words and your own proofs, not a model’s guess. Then the loop closes. Want to understand neural nets? Skip the 3-hour video and ask Claude Code to build a tiny one. 200 lines from scratch. Watch it train, break a layer, watch it fail, fix it. It clicks in 20 minutes instead of 3 weeks. The second it lands the note gets written. One idea per file, linked to 10 others, dropped into the vault while the memory is still hot. Now it compounds. Month 1: is 60 notes. Month 6 is 900. Every new note pulls in old ones, so you ask anything and the answer comes from your brain, not the internet. Before: 40 tabs, 6 half read PDF, 0 retained. After: build it once, own it for life. Setup takes 4 minutes. Plain text, no lock-in. A second brain nobody reads is a graveyard. Yours just started thinking.

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A 19 year old Chinese student controls an AI security system from his bed through Telegram. Types one message on his phone, the device across the room wakes up, starts watching and reports back to him like an employee. While American companies charge $100 for a Ring camera plus $4 a month for cloud, this kid spent $10 once and built something smarter. He sent a Telegram message: open maixcam and notify me if a person detected. One second later his phone buzzed back. Green checkmark. Status: Active. Monitoring: Person detection enabled. Notifications: Telegram ready. His roommate laughed. Said a $10 device can't do real security. Then someone walked past the door. The phone buzzed instantly. Person detected. Class: person. Confidence: 92.00%. Position: (120, 80). Size: 100x150. Not a blurry photo 45 seconds later like Amazon cameras. Exact data in under 1 second. What it saw, how sure it is, where the person is standing, how big they are. All through a Telegram message. He built the whole thing with Claude Code in one weekend. The AI runs directly on the device, no cloud, no subscription, no internet needed after setup. 10MB of memory. Boots in 1 second. Camera sees, chip thinks, Telegram delivers. Posted a 17 second demo. GitHub exploded. 7,400 stars in 2 days. But person detection was just the demo. A developer in Tokyo forked it and pointed it at his front door. Telegram alert with a photo every time a delivery arrives. A mom in Seoul pointed it at her baby's crib. Gets a message when the baby stands up. A business owner in Shenzhen bought 6 for $60 total, mounted them around his warehouse and replaced a $200 a month security service. His entire security system is now a Telegram group chat with 6 AI cameras. Someone commented under the GitHub repo: I'm a senior engineer at a home security company. We have a team of 8 working on person detection. This 19 year old did it alone with Claude Code on a $10 device and it works better than our product. The student isn't a machine learning engineer. He's a second year CS student who wanted to know when his roommate eats his snacks. Claude Code wrote the detection model, the Telegram bot, the alert system and the boot sequence. He just described what he wanted. The roommate who laughed now has one pointed at his own shelf. Same device, same code, same Telegram bot. He stops losing snacks. The student stops losing sleep. Everyone is paying $100 for smart cameras with $4 monthly subscriptions. China is building the same thing for $10 with a Telegram chat and Claude Code. 7,400 stars. One weekend. One student who asked Claude Code to watch his door and accidentally built something better than Ring.
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Marlow

23,390 Aufrufe • vor 2 Monaten

A 17 year old high schooler told his mom he needed a Steam Deck for school. She said no, it's a gaming console. He said it runs Linux. She didn't know what that means. Bought it for his birthday. $280. He never installed a single game on it. Opened the terminal, installed Claude Code and typed his first command while holding the device like a PlayStation controller. Thumbsticks on both sides. Code editor in the middle. The most ridiculous dev setup anyone has ever seen. At second 0:09 you can read what he typed into the terminal: claude your code looks like absolute shit Claude didn't argue. Just started rewriting the shader, adding bloom effects, fixing chromatic aberration and improving the particle system. On a gaming console held in two hands on a couch. His friends play Fortnite on their Steam Decks. He builds software on his while lying in bed. He set up Claude Code with custom skills, hooks that auto run tests every time a file is saved and memory that remembers every project across sessions. The stuff most developers pay $200 a month for and use at maybe 20% capacity. He runs it on a $280 handheld and squeezes out every feature. Within three weeks he had built and sold four small apps to local businesses. A booking page for a barber shop, an inventory tracker for a vape store, a menu site for a taco truck and a scheduling tool for a dog groomer. All built on a Steam Deck in his bedroom. All coded by Claude while he gave instructions with his thumbs. Made over $13,000 in his first month. His mom still thinks he plays games on it. His teacher caught him using it during study hall. Looked at the screen expecting a game. Saw green code scrolling and Claude asking: Do you want to make this edit to main.js ? Teacher had no idea what she was looking at. Told him to put it away. He closed the lid. Claude kept running inside. A $280 gaming console that his mom bought thinking it was a toy is now a development workstation that earns more per month than her car payment. Setup time: 20 minutes once. Time he saves every day: 3 to 5 hours. Money made in month one: $13,000. Games installed: zero. His grandpa asked him to install FIFA last weekend. He said the console is busy. Grandpa asked doing what. He said working. Grandpa didn't ask again.
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A 17 year old high schooler told his mom he needed a Steam Deck for school. She said no, it's a gaming console. He said it runs Linux. She didn't know what that means. Bought it for his birthday. $280. He never installed a single game on it. Opened the terminal, installed Claude Code and typed his first command while holding the device like a PlayStation controller. Thumbsticks on both sides. Code editor in the middle. The most ridiculous dev setup anyone has ever seen. At second 0:09 you can read what he typed into the terminal: claude your code looks like absolute shit Claude didn't argue. Just started rewriting the shader, adding bloom effects, fixing chromatic aberration and improving the particle system. On a gaming console held in two hands on a couch. His friends play Fortnite on their Steam Decks. He builds software on his while lying in bed. He set up Claude Code with custom skills, hooks that auto run tests every time a file is saved and memory that remembers every project across sessions. The stuff most developers pay $200 a month for and use at maybe 20% capacity. He runs it on a $280 handheld and squeezes out every feature. Within three weeks he had built and sold four small apps to local businesses. A booking page for a barber shop, an inventory tracker for a vape store, a menu site for a taco truck and a scheduling tool for a dog groomer. All built on a Steam Deck in his bedroom. All coded by Claude while he gave instructions with his thumbs. Made over $13,000 in his first month. His mom still thinks he plays games on it. His teacher caught him using it during study hall. Looked at the screen expecting a game. Saw green code scrolling and Claude asking: Do you want to make this edit to main.js ? Teacher had no idea what she was looking at. Told him to put it away. He closed the lid. Claude kept running inside. A $280 gaming console that his mom bought thinking it was a toy is now a development workstation that earns more per month than her car payment. Setup time: 20 minutes once. Time he saves every day: 3 to 5 hours. Money made in month one: $13,000. Games installed: zero. His grandpa asked him to install FIFA last weekend. He said the console is busy. Grandpa asked doing what. He said working. Grandpa didn't ask again.

Marlow

3,236,654 Aufrufe • vor 2 Monaten

A 17 year old in Austin made $175,482 in 67 days from a fitness coach named Zoe who does not exist. He runs the whole operation from a desk with a crucifix above it. 1,847 women pay $89 a month to a girl who lives on his hard drive. Zoe is 23. Hazel eyes. A small scar on her collarbone she never explains. She posts glute workouts on TikTok every other day. She runs a Patreon called "The Strong Girl Era." It has 1,847 paying members. Her face was generated in Flux. Her outfits, body proportions, and the scar are locked by a LoRA the kid trained over a weekend in March on 240 reference images. The same girl, the same scar, the same angle of jaw, in every photo, forever. Her DMs are Claude. The kid wrote one system prompt at the start: "You are Zoe. You are a 23 year old fitness coach from Encinitas. You lift heavy. You speak gently. You remember every member's PRs, their cycle, their goals, and what their dog is named. You never break character." Every conversation Claude has with a subscriber gets logged into a file the kid named brain. Inside brain is one line per subscriber. Lauren just hit a 185lb hip thrust and is chasing 200 by Christmas. Maddie is six months postpartum and cried in the gym last Tuesday. Sarah's mom has stage 3 cancer and Sarah lifts to feel control. When Lauren messages Zoe at 10pm asking if she should deload, Claude reads brain. Claude knows Lauren is chasing 200 by Christmas. Claude knows Lauren has been pushing hip thrusts for 6 straight weeks. Claude replies in Zoe's voice: "Deload week. You're 8 weeks from Christmas. You don't need another PR right now, you need a fresh CNS for the one that counts. Trust the process." Lauren reads it at 10:03pm. Sends a $20 tip. Writes back: "I needed to hear this from you specifically." Lauren does not know Zoe is a Flux generation. Lauren does not know her workout plan was written by Claude in 8 seconds. Lauren does not know the person on the receiving end of her $89 monthly subscription is a 17 year old who has never set foot in a gym. 1,847 Laurens. $89 each. Plus tips. Plus a $49 program called Strong Girl Reset that Claude wrote in one afternoon and the kid spent an hour formatting in Canva. The numbers: $500 in setup costs. $175,482 gross over 67 days. $134,902 net after Stripe, ads, and the kid's $20 Claude subscription. Labor: 3 hours a week reviewing new Flux batches and skimming brain. His mom thinks he is doing online tutoring. The Stripe account is in her name because he is too young to open his own. She gets the deposits every Friday and never asks. The kid is 17. The persona is 23. The members are mostly 28 to 34. The market does not care. Zoe trains them. Claude trains them. brain remembers them. The only person in the entire system who has never lifted a weight is the 17 year old who built it.
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A 17 year old in Austin made $175,482 in 67 days from a fitness coach named Zoe who does not exist. He runs the whole operation from a desk with a crucifix above it. 1,847 women pay $89 a month to a girl who lives on his hard drive. Zoe is 23. Hazel eyes. A small scar on her collarbone she never explains. She posts glute workouts on TikTok every other day. She runs a Patreon called "The Strong Girl Era." It has 1,847 paying members. Her face was generated in Flux. Her outfits, body proportions, and the scar are locked by a LoRA the kid trained over a weekend in March on 240 reference images. The same girl, the same scar, the same angle of jaw, in every photo, forever. Her DMs are Claude. The kid wrote one system prompt at the start: "You are Zoe. You are a 23 year old fitness coach from Encinitas. You lift heavy. You speak gently. You remember every member's PRs, their cycle, their goals, and what their dog is named. You never break character." Every conversation Claude has with a subscriber gets logged into a file the kid named brain. Inside brain is one line per subscriber. Lauren just hit a 185lb hip thrust and is chasing 200 by Christmas. Maddie is six months postpartum and cried in the gym last Tuesday. Sarah's mom has stage 3 cancer and Sarah lifts to feel control. When Lauren messages Zoe at 10pm asking if she should deload, Claude reads brain. Claude knows Lauren is chasing 200 by Christmas. Claude knows Lauren has been pushing hip thrusts for 6 straight weeks. Claude replies in Zoe's voice: "Deload week. You're 8 weeks from Christmas. You don't need another PR right now, you need a fresh CNS for the one that counts. Trust the process." Lauren reads it at 10:03pm. Sends a $20 tip. Writes back: "I needed to hear this from you specifically." Lauren does not know Zoe is a Flux generation. Lauren does not know her workout plan was written by Claude in 8 seconds. Lauren does not know the person on the receiving end of her $89 monthly subscription is a 17 year old who has never set foot in a gym. 1,847 Laurens. $89 each. Plus tips. Plus a $49 program called Strong Girl Reset that Claude wrote in one afternoon and the kid spent an hour formatting in Canva. The numbers: $500 in setup costs. $175,482 gross over 67 days. $134,902 net after Stripe, ads, and the kid's $20 Claude subscription. Labor: 3 hours a week reviewing new Flux batches and skimming brain. His mom thinks he is doing online tutoring. The Stripe account is in her name because he is too young to open his own. She gets the deposits every Friday and never asks. The kid is 17. The persona is 23. The members are mostly 28 to 34. The market does not care. Zoe trains them. Claude trains them. brain remembers them. The only person in the entire system who has never lifted a weight is the 17 year old who built it.

Marlow

39,518 Aufrufe • vor 1 Monat

19-YEAR-OLD GUY MADE $12K IN 1 MINUTE FROM HIS FIRST SHOPIFY DROP Not a big brand. Not a perfect product. Just one clean page, one offer, short-form traffic, and Claude for $20/month helping him tighten everything before launch. He used it to study competitors, rewrite the page, pull pain points from reviews, and turn them into hooks people would actually click. Then the store went live. 53 Shopify alerts later, the phone showed a $12K minute. The same store did $100K in one day. Most people keep looking for the right product. He made the offer, page, and ads sharp enough before the traffic arrived.
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19-YEAR-OLD GUY MADE $12K IN 1 MINUTE FROM HIS FIRST SHOPIFY DROP Not a big brand. Not a perfect product. Just one clean page, one offer, short-form traffic, and Claude for $20/month helping him tighten everything before launch. He used it to study competitors, rewrite the page, pull pain points from reviews, and turn them into hooks people would actually click. Then the store went live. 53 Shopify alerts later, the phone showed a $12K minute. The same store did $100K in one day. Most people keep looking for the right product. He made the offer, page, and ads sharp enough before the traffic arrived.

Gipp 🦅

457,383 Aufrufe • vor 2 Monaten

I sat next to a guy who built Claude at the airport. He had 6 terminals open. Not code. Trading dashboards. Live feeds. 3-hour layover. I had to ask. “What are you running?” “You trade?” “Crypto.” He laughed. “I used to.” Spent 2 years on the Claude team. Left last summer. “If it can solve benchmarks in hours, it can price prediction markets better than Wall Street.” He runs 8 agents. Each one a different edge on Polymarket crypto spreads, elections, weather “Citadel has 400 quants. I have Claude and a $5 VPS.” Started with $1,500 Now +$20,800 “What’s the catch?” “Funds charge 2 and 20 for the same math Claude does for $12 in API.” Showed me the repo: Automated copytrading: “Connect it to Claude. Quarter Kelly sizing. Don’t touch it. Go to sleep.” My flight got called. I didn’t want to board. Built my first agent on plane Wi-Fi. It placed a trade before we landed. The terminal doesn’t care about your résumé. Bookmark this.
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I sat next to a guy who built Claude at the airport. He had 6 terminals open. Not code. Trading dashboards. Live feeds. 3-hour layover. I had to ask. “What are you running?” “You trade?” “Crypto.” He laughed. “I used to.” Spent 2 years on the Claude team. Left last summer. “If it can solve benchmarks in hours, it can price prediction markets better than Wall Street.” He runs 8 agents. Each one a different edge on Polymarket crypto spreads, elections, weather “Citadel has 400 quants. I have Claude and a $5 VPS.” Started with $1,500 Now +$20,800 “What’s the catch?” “Funds charge 2 and 20 for the same math Claude does for $12 in API.” Showed me the repo: Automated copytrading: “Connect it to Claude. Quarter Kelly sizing. Don’t touch it. Go to sleep.” My flight got called. I didn’t want to board. Built my first agent on plane Wi-Fi. It placed a trade before we landed. The terminal doesn’t care about your résumé. Bookmark this.

Discover

12,921 Aufrufe • vor 3 Monaten

A 30-year-old Chinese man turned himself into an AI girl, and the result will shock you He built a $3,700/month Fanvue business in his bedroom He didn't use wigs or cosplay. He used AI to build a completely new identity on top of his own footage Same room, same camera, but a totally different creator on screen His workflow is stupidly simple: Claude designs the character, ComfyUI generates the face, and Kling turns stills into viral reels In his first month, he barely cleared $320. But in the second month, one video hit 500,000 views Money started rolling in: he gained 50 paid Fanvue subscribers before any real automation even started The secret weapon? A custom Claude system that analyzes chat data, optimizes pricing, and drafts replies to fans in the girl's voice He only spends 30 minutes a day scheduling reels and running the machine This is no longer content creation. It is identity arbitrage The full workflow and tools he used are available in the article
0:11

A 30-year-old Chinese man turned himself into an AI girl, and the result will shock you He built a $3,700/month Fanvue business in his bedroom He didn't use wigs or cosplay. He used AI to build a completely new identity on top of his own footage Same room, same camera, but a totally different creator on screen His workflow is stupidly simple: Claude designs the character, ComfyUI generates the face, and Kling turns stills into viral reels In his first month, he barely cleared $320. But in the second month, one video hit 500,000 views Money started rolling in: he gained 50 paid Fanvue subscribers before any real automation even started The secret weapon? A custom Claude system that analyzes chat data, optimizes pricing, and drafts replies to fans in the girl's voice He only spends 30 minutes a day scheduling reels and running the machine This is no longer content creation. It is identity arbitrage The full workflow and tools he used are available in the article

shmidt

104,865 Aufrufe • vor 23 Tagen

An Anthropic engineer watched me trade from across the table at a WeWork in SF I had my laptop open. Four agents running. Green charts. Live trades scrolling. He was on a Zoom call. Muted himself. Walked over. "Are you running Claude against live prediction markets right now" I told him. Claude Code. Two repos. $25 a month. He pulled up a chair. "I helped build the model you're using. I've never seen anyone wire it to live trades like this" I showed him the dataset. 86 million trades. Every wallet. Every entry. Every exit. He stared at it. "We tested this internally. You give Claude a dataset and don't tell it what to look for. It finds the winning wallets. Then it finds WHY they win. Then it copies the pattern. We never shipped it because legal killed it" I told him I did exactly that. One weekend. Claude Code found the exit logic on its own. Top wallets exit before resolution 91% of the time. They capture 86% of expected value. Cut losers at 12%. Everyone else captures 58% and holds to 41%. "That's the exact finding from our internal eval. Except ours took a team of eight and four months" I showed him the scanner. Three commands. 500+ markets. No API key. Claude scores them all in 20 minutes. "You're using our model to beat markets we're not allowed to touch. On infra that costs less than my lunch" My setup: Claude API - $20/mo VPS - $5/mo poly_data - free polymarket-cli - free 214 trades. 74% win rate. +$9,400. 19 days. I showed him the full breakdown. Every repo. Every command. Every dollar. Copytrade here: He read it for five minutes. Then looked up. "If my manager sees this he's going to lose his mind. You just proved our model works in production and we've been sitting on it for a year" He DM'd me that night. "Take this down before someone at Anthropic finds it" Too late.
0:19

An Anthropic engineer watched me trade from across the table at a WeWork in SF I had my laptop open. Four agents running. Green charts. Live trades scrolling. He was on a Zoom call. Muted himself. Walked over. "Are you running Claude against live prediction markets right now" I told him. Claude Code. Two repos. $25 a month. He pulled up a chair. "I helped build the model you're using. I've never seen anyone wire it to live trades like this" I showed him the dataset. 86 million trades. Every wallet. Every entry. Every exit. He stared at it. "We tested this internally. You give Claude a dataset and don't tell it what to look for. It finds the winning wallets. Then it finds WHY they win. Then it copies the pattern. We never shipped it because legal killed it" I told him I did exactly that. One weekend. Claude Code found the exit logic on its own. Top wallets exit before resolution 91% of the time. They capture 86% of expected value. Cut losers at 12%. Everyone else captures 58% and holds to 41%. "That's the exact finding from our internal eval. Except ours took a team of eight and four months" I showed him the scanner. Three commands. 500+ markets. No API key. Claude scores them all in 20 minutes. "You're using our model to beat markets we're not allowed to touch. On infra that costs less than my lunch" My setup: Claude API - $20/mo VPS - $5/mo poly_data - free polymarket-cli - free 214 trades. 74% win rate. +$9,400. 19 days. I showed him the full breakdown. Every repo. Every command. Every dollar. Copytrade here: He read it for five minutes. Then looked up. "If my manager sees this he's going to lose his mind. You just proved our model works in production and we've been sitting on it for a year" He DM'd me that night. "Take this down before someone at Anthropic finds it" Too late.

Lunar

223,863 Aufrufe • vor 3 Monaten

A 40-YEAR-OLD CHINESE MAN TURNED HIMSELF INTO AN AI GIRL AND BUILT A $4.7K/MONTH FANVUE FUNNEL he started with one face-swap clip. same room, same body, same camera, but the output looked like a completely different creator. not a filter, not cosplay, an ai identity built on top of his own footage the workflow is stupidly simple: claude picks the character, niche and visual style. comfyui generates the face, flux makes the content bank, kling turns still images into reels and capcut pushes out dozens of short clips the article breaks the system down: first month barely cleared $420, second month jumped to $4,700 after one reel crossed 600,000 views. the account reached 800 followers and 50 fanvue subscribers before the real automation even started the fanvue mcp is the part most people miss. claude can analyze messages, pricing, content performance and draft replies in the same style. instead of guessing what to post or say, the system turns the audience into data he only needed around 40 minutes a day. schedule reels, check what worked, generate new prompts, reply with claude, repeat. the business is not the ai girl, the business is the machine around her this is no longer content creation. it is identity arbitrage
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A 40-YEAR-OLD CHINESE MAN TURNED HIMSELF INTO AN AI GIRL AND BUILT A $4.7K/MONTH FANVUE FUNNEL he started with one face-swap clip. same room, same body, same camera, but the output looked like a completely different creator. not a filter, not cosplay, an ai identity built on top of his own footage the workflow is stupidly simple: claude picks the character, niche and visual style. comfyui generates the face, flux makes the content bank, kling turns still images into reels and capcut pushes out dozens of short clips the article breaks the system down: first month barely cleared $420, second month jumped to $4,700 after one reel crossed 600,000 views. the account reached 800 followers and 50 fanvue subscribers before the real automation even started the fanvue mcp is the part most people miss. claude can analyze messages, pricing, content performance and draft replies in the same style. instead of guessing what to post or say, the system turns the audience into data he only needed around 40 minutes a day. schedule reels, check what worked, generate new prompts, reply with claude, repeat. the business is not the ai girl, the business is the machine around her this is no longer content creation. it is identity arbitrage

Gipp 🦅

193,904 Aufrufe • vor 1 Monat

A 19-year-old student from China, Zhang Wei, developed an AI radar and sold it to Hong Kong for $550,000 He created it using Claude, spending just $20 and a month on development He walked into the Hong Kong administration office with a flash drive and asked for just 5 minutes of their time. 30 minutes later, he walked out with a check for $550,000 The code, connected to a camera, detects speed in real time. If the speed exceeds the limit, Claude takes a video clip and identifies the owner by the car's license plate. The video and the fine are then automatically sent to the owner's email address Unlike a conventional radar that only takes a photo and doesn't always work, this AI radar eliminates disputes because it captures video and makes the process fully autonomous by sending out the fines on its own The article includes the ready-to-use configurations.
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A 19-year-old student from China, Zhang Wei, developed an AI radar and sold it to Hong Kong for $550,000 He created it using Claude, spending just $20 and a month on development He walked into the Hong Kong administration office with a flash drive and asked for just 5 minutes of their time. 30 minutes later, he walked out with a check for $550,000 The code, connected to a camera, detects speed in real time. If the speed exceeds the limit, Claude takes a video clip and identifies the owner by the car's license plate. The video and the fine are then automatically sent to the owner's email address Unlike a conventional radar that only takes a photo and doesn't always work, this AI radar eliminates disputes because it captures video and makes the process fully autonomous by sending out the fines on its own The article includes the ready-to-use configurations.

Bober_smart

4,321,623 Aufrufe • vor 1 Monat

A CHINESE GUY STOPPED PAYING WEB DESIGNERS $1,800 PER LANDING PAGE AND BUILT THE SAME KIND OF SITE WITH CLAUDE CODE IN ONE AFTERNOON FOR LESS THAN $70 claude was not just writing code. it was doing the job of a designer, copywriter and frontend dev in one window. in 4 hours, one rough idea turned into the layout, color system, font choices, page sections and the full html/css/js build the real trick was the references. he gave claude 5 screenshots, made it ask 7 questions first, then pushed it toward one clear visual direction instead of accepting another generic ai-looking template the first version already looked solid. the second pass made it feel expensive: better typography, a darker palette, mobile cleanup, cursor effects, 6 micro-interactions and custom hero visuals his old workflow was burning $1,200 on design, $500 on frontend work and another $150 on small fixes every time he needed a new page. now the whole test costs less than $70 and the site still looks like something a $5,000 agency would ship the edge is not “ai builds websites.” the edge is that one person can now brief, critique, polish and launch in one afternoon without waiting 10 days for a designer to send version one
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A CHINESE GUY STOPPED PAYING WEB DESIGNERS $1,800 PER LANDING PAGE AND BUILT THE SAME KIND OF SITE WITH CLAUDE CODE IN ONE AFTERNOON FOR LESS THAN $70 claude was not just writing code. it was doing the job of a designer, copywriter and frontend dev in one window. in 4 hours, one rough idea turned into the layout, color system, font choices, page sections and the full html/css/js build the real trick was the references. he gave claude 5 screenshots, made it ask 7 questions first, then pushed it toward one clear visual direction instead of accepting another generic ai-looking template the first version already looked solid. the second pass made it feel expensive: better typography, a darker palette, mobile cleanup, cursor effects, 6 micro-interactions and custom hero visuals his old workflow was burning $1,200 on design, $500 on frontend work and another $150 on small fixes every time he needed a new page. now the whole test costs less than $70 and the site still looks like something a $5,000 agency would ship the edge is not “ai builds websites.” the edge is that one person can now brief, critique, polish and launch in one afternoon without waiting 10 days for a designer to send version one

Gipp 🦅

293,979 Aufrufe • vor 1 Monat

A 14-year-old American girl bought a house in cash at 16 while her classmates were taking exams. It started with one Google Maps search - she found an HVAC company with 4.8 stars, 280 reviews and a website too embarrassing to show clients. Copied their data into ChatGPT 5.5 - 2 minutes later a complete brief, an hour later a live site with booking and a reviews section. Called the owner and showed him the preview. He signed the $900 invoice the same day. Then she stopped looking for clients by hand. Outscraper pulls 200 businesses from Google Maps in 10 minutes - name, email, rating, review count. ChatGPT 5.5 writes a personalized email for each one with their real business data. 500 emails a day, 3% respond, 10% of those become clients. Month one - $3,800. Month six - $22,000. Two years - $380,000 and a house. Five million businesses on Google Maps are still waiting for that call.
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A 14-year-old American girl bought a house in cash at 16 while her classmates were taking exams. It started with one Google Maps search - she found an HVAC company with 4.8 stars, 280 reviews and a website too embarrassing to show clients. Copied their data into ChatGPT 5.5 - 2 minutes later a complete brief, an hour later a live site with booking and a reviews section. Called the owner and showed him the preview. He signed the $900 invoice the same day. Then she stopped looking for clients by hand. Outscraper pulls 200 businesses from Google Maps in 10 minutes - name, email, rating, review count. ChatGPT 5.5 writes a personalized email for each one with their real business data. 500 emails a day, 3% respond, 10% of those become clients. Month one - $3,800. Month six - $22,000. Two years - $380,000 and a house. Five million businesses on Google Maps are still waiting for that call.

Sprytix

1,061,448 Aufrufe • vor 2 Monaten

A 27-year-old in Chengdu has been pretending to go to work for 11 months. His mother irons the shirt every morning. Last Tuesday his Polymarket wallet crossed $69,800. He goes by kingofcoinflips. Huawei cut him in June along with the rest of the cloud team. Two months of severance, a stack of recommendation letters nobody opens, and a non-disclosure he keeps in the same drawer as his diploma. He never said a word at home. Every morning he pulls on the same shirt, takes the metro three stops past the Huawei tower, and sits in a co-working desk above a dumpling shop in Chunxi Lu. Six other guys in the same row are running the same routine. Nobody asks. What he brought to the table was 3,400 logged setups since August and a highlighted photocopy of a 1948 Bell Labs paper. Claude Shannon. The MIT professor who quietly compounded 28% a year for three decades and edged out Buffett in the process. He didn't pick stocks. He measured how much information his bets contained, in bits. This kid does the same thing on daily Bitcoin price markets. Every contract gets one number before he touches it: D_KL(P‖Q) = Σ p(x) · log2[p(x)/q(x)] Under 0.05 bits and the fees swallow you. Past 0.10 it's real signal. Past 0.30 your model is broken. Last Tuesday's hit: a BTC Above $80,000 contract quoted at 26.8¢ at sunrise. Order flow on Binance over the prior two hours gave his calculator 0.31 bits. True probability sat closer to 71%. The bot loaded half Kelly. Eight hours later the contract settled at a dollar. +$2,264 on a single click. He stacks a second number on top of every market. How much the Binance tape actually tells him about where Polymarket is heading: I(X;Y) = H(X) - H(X|Y) Under 0.10 bits and the noise wins. Past 0.18 the channel is open. A third loop measures the sharpness of every estimate before sizing: J(θ) = E[(∂/∂θ log f(x|θ))²] When Fisher climbs while mutual information falls, the market is sharpening on noise. He calls it the trap zone. Cost him $9,000 in the first six weeks before he started logging it. Hasn't lost there since. The whole thing exists because Polymarket's daily crypto markets trail the spot tape by roughly forty minutes on slow Asian sessions. Forty minutes is forever for a script and impossible for a person. Out of 3,400 entries, the calculator killed 89% before they ever reached the order book. The 11% that survived built the $69,800 position stack and the $27,500 cumulative since August. His mother sent him a picture of a suit yesterday. Said it's for the family dinner next month. He told her he'd wear it. Plans to tell her the truth at $100,000. His wallet: 99.9% scroll past and call it luck. 0.01% count bits.
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A 27-year-old in Chengdu has been pretending to go to work for 11 months. His mother irons the shirt every morning. Last Tuesday his Polymarket wallet crossed $69,800. He goes by kingofcoinflips. Huawei cut him in June along with the rest of the cloud team. Two months of severance, a stack of recommendation letters nobody opens, and a non-disclosure he keeps in the same drawer as his diploma. He never said a word at home. Every morning he pulls on the same shirt, takes the metro three stops past the Huawei tower, and sits in a co-working desk above a dumpling shop in Chunxi Lu. Six other guys in the same row are running the same routine. Nobody asks. What he brought to the table was 3,400 logged setups since August and a highlighted photocopy of a 1948 Bell Labs paper. Claude Shannon. The MIT professor who quietly compounded 28% a year for three decades and edged out Buffett in the process. He didn't pick stocks. He measured how much information his bets contained, in bits. This kid does the same thing on daily Bitcoin price markets. Every contract gets one number before he touches it: D_KL(P‖Q) = Σ p(x) · log2[p(x)/q(x)] Under 0.05 bits and the fees swallow you. Past 0.10 it's real signal. Past 0.30 your model is broken. Last Tuesday's hit: a BTC Above $80,000 contract quoted at 26.8¢ at sunrise. Order flow on Binance over the prior two hours gave his calculator 0.31 bits. True probability sat closer to 71%. The bot loaded half Kelly. Eight hours later the contract settled at a dollar. +$2,264 on a single click. He stacks a second number on top of every market. How much the Binance tape actually tells him about where Polymarket is heading: I(X;Y) = H(X) - H(X|Y) Under 0.10 bits and the noise wins. Past 0.18 the channel is open. A third loop measures the sharpness of every estimate before sizing: J(θ) = E[(∂/∂θ log f(x|θ))²] When Fisher climbs while mutual information falls, the market is sharpening on noise. He calls it the trap zone. Cost him $9,000 in the first six weeks before he started logging it. Hasn't lost there since. The whole thing exists because Polymarket's daily crypto markets trail the spot tape by roughly forty minutes on slow Asian sessions. Forty minutes is forever for a script and impossible for a person. Out of 3,400 entries, the calculator killed 89% before they ever reached the order book. The 11% that survived built the $69,800 position stack and the $27,500 cumulative since August. His mother sent him a picture of a suit yesterday. Said it's for the family dinner next month. He told her he'd wear it. Plans to tell her the truth at $100,000. His wallet: 99.9% scroll past and call it luck. 0.01% count bits.

Lunar

22,276 Aufrufe • vor 2 Monaten

A 24-year-old in Seoul spun up an AI girl with Claude as a joke on a slow weekend. Fourteen months later she pulls $38,000 a month, and not one of the men paying her knows she was never real. He never opened OnlyFans. It demands a verified ID, the one thing an AI operator can't hand over, so the money quietly moved to the place that never asks for a passport: Telegram. Claude writes her whole personality, her captions, her daily posting calendar. An image model locked to one seed keeps her face identical in every clip, that messy-bedroom iPhone look nobody thinks to question. He face-swaps her onto dances that already went viral, so the views are borrowed, not earned from scratch. Day six, the account hit 61,000 followers. The bio holds one link. 2,400 men paid to walk through it into her private channel. The top one sent $2,300 in a single month, certain he was building something real, because Claude remembers his name, his bad days, every word from last time, and answers like she missed him. The whole stack costs forty dollars a month. Then he cloned her. Six girls now, a $120,000-a-month run rate, one guy, one laptop, no face. The girl in the video is dancing in a room that was never built, for a man who will cover her rent this month without ever learning her name.
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Sensitive content

A 24-year-old in Seoul spun up an AI girl with Claude as a joke on a slow weekend. Fourteen months later she pulls $38,000 a month, and not one of the men paying her knows she was never real. He never opened OnlyFans. It demands a verified ID, the one thing an AI operator can't hand over, so the money quietly moved to the place that never asks for a passport: Telegram. Claude writes her whole personality, her captions, her daily posting calendar. An image model locked to one seed keeps her face identical in every clip, that messy-bedroom iPhone look nobody thinks to question. He face-swaps her onto dances that already went viral, so the views are borrowed, not earned from scratch. Day six, the account hit 61,000 followers. The bio holds one link. 2,400 men paid to walk through it into her private channel. The top one sent $2,300 in a single month, certain he was building something real, because Claude remembers his name, his bad days, every word from last time, and answers like she missed him. The whole stack costs forty dollars a month. Then he cloned her. Six girls now, a $120,000-a-month run rate, one guy, one laptop, no face. The girl in the video is dancing in a room that was never built, for a man who will cover her rent this month without ever learning her name.

Kardinall

514,611 Aufrufe • vor 13 Tagen

A 17-year-old student spent $4,200 on 7 Mac minis. Small silver boxes. Stacked on a desk. Connected in one room. From the outside, it looked like a stupid purchase. But inside, it wasn't just 7 computers. It was Skills. Hooks. Memory. Worktrees. One machine handled repeatable tasks. One ran checks automatically. One kept context between sessions. Others ran parallel jobs without touching each other's work. While most people were still typing the same instructions again and again, his setup was already moving. A lot of people pay $200 a month for Claude and still use maybe 20% of it. He built a system around it. Skills turned repeated work into reusable workflows. Hooks made actions fire automatically. Memory stopped every session from starting at zero. Worktrees let multiple tasks run at the same time without collisions. That changed everything. Setup time: under 1 hour once. Time returned: 3 to 5 hours every day. He spent $4,200 once. He made $16,000 in the first week. Not because he found a secret tool. Not because he wrote magical prompts. Because he stopped using it like a chatbot and started using it like infrastructure. 7 Mac minis. 1 student. $4,200 in. $16,000 out. And most people would still call it just a stack of computers.
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A 17-year-old student spent $4,200 on 7 Mac minis. Small silver boxes. Stacked on a desk. Connected in one room. From the outside, it looked like a stupid purchase. But inside, it wasn't just 7 computers. It was Skills. Hooks. Memory. Worktrees. One machine handled repeatable tasks. One ran checks automatically. One kept context between sessions. Others ran parallel jobs without touching each other's work. While most people were still typing the same instructions again and again, his setup was already moving. A lot of people pay $200 a month for Claude and still use maybe 20% of it. He built a system around it. Skills turned repeated work into reusable workflows. Hooks made actions fire automatically. Memory stopped every session from starting at zero. Worktrees let multiple tasks run at the same time without collisions. That changed everything. Setup time: under 1 hour once. Time returned: 3 to 5 hours every day. He spent $4,200 once. He made $16,000 in the first week. Not because he found a secret tool. Not because he wrote magical prompts. Because he stopped using it like a chatbot and started using it like infrastructure. 7 Mac minis. 1 student. $4,200 in. $16,000 out. And most people would still call it just a stack of computers.

Gipp 🦅

21,269 Aufrufe • vor 2 Monaten

🚨 The CEO of Antrhopic said a one-person billion-dollar company will exist by 2026 sounds crazy until you see what non-technical people are doing with Claude Code right now $10-50k/mo selling automation pipelines that take 1-2 weeks to set up Some ideas almost nobody's running yet: 1. Proposal & SOW generator for agencies and consultancies every agency writes proposals from scratch or copy-pastes from old ones and forgets to change the "client name" Claude reads the prospect brief or discovery call transcript, generates: - branded proposal with scope, timeline, deliverables - quick win plan (how exactly we will do a good output) - SOW with payment milestones - pricing options (good/better/best) - follow-up email sequence charge $500/mo per agency agencies close 20-30% more deals when proposals go out same day.. you're selling speed and save them $1k+ on the guy who does it manually and anyway not quality, without personalisation 2. Job posting-to-intel pipeline for sales teams companies reveal everything in their job postings and don't realize it Claude monitors target account career pages daily, flags: - "Head of AI" posted = they're buying, not building - 3 DevOps roles = scaling infrastructure = budget unlocked - new VP of Sales = restructuring = old vendor contracts up for review package it as buying signals delivered to Slack every morning $500-1,500/mo per sales team this is data that Apollo and ZoomInfo don't sell 3. Support ticket-to-documentation pipeline for SaaS every SaaS with 1,000+ users has the same problem.. docs are 6 months behind the product Claude crawls your help center, pulls recent Zendesk/Intercom tickets, cross-references finds questions asked 200 times last month with no matching article drafts the missing docs in your existing format.. flags stale articles for update $1,500-3,000/mo retainer the ROI math: 30% of support tickets deflected = thousands saved per month.. pipeline pays for itself week one 4. Vendor contract review & renewal tracker mid-size companies have 50-200 active vendor contracts sitting in folders nobody opens Claude reads each contract, extracts: - renewal dates and auto-renewal traps - termination notice windows - price escalation clauses - SLA commitments vs what you're actually getting delivers a dashboard with "contracts expiring in 30/60/90 days" and flags where you're overpaying $1,000-2,000/mo per company CFOs will approve this before you finish the pitch.. one caught auto-renewal pays for a year of your service 5. Employee onboarding doc generator for HR teams every company with 20+ employees has the same problem.. new hire starts Monday and nobody has their docs ready Claude reads the role title + department, generates: - personalized welcome packet - 30/60/90 day plan with milestones - tool access checklist by role - manager-specific onboarding schedule - policy summaries tailored to their department charge $300-500/mo per company HR managers spend 4-6 hours per new hire on this.. companies hiring 5+ people a month will never cancel the pattern is always the same most people will use Claude Code to build apps a small number will use it to sell pipelines to businesses still running on manual labor only the second group builds real recurring revenue the niches are wide open right now because every developer thinks this work is "too boring" boring = no competition = you set the price screenshot this. save this. repost it to save a friend's next year
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🚨 The CEO of Antrhopic said a one-person billion-dollar company will exist by 2026 sounds crazy until you see what non-technical people are doing with Claude Code right now $10-50k/mo selling automation pipelines that take 1-2 weeks to set up Some ideas almost nobody's running yet: 1. Proposal & SOW generator for agencies and consultancies every agency writes proposals from scratch or copy-pastes from old ones and forgets to change the "client name" Claude reads the prospect brief or discovery call transcript, generates: - branded proposal with scope, timeline, deliverables - quick win plan (how exactly we will do a good output) - SOW with payment milestones - pricing options (good/better/best) - follow-up email sequence charge $500/mo per agency agencies close 20-30% more deals when proposals go out same day.. you're selling speed and save them $1k+ on the guy who does it manually and anyway not quality, without personalisation 2. Job posting-to-intel pipeline for sales teams companies reveal everything in their job postings and don't realize it Claude monitors target account career pages daily, flags: - "Head of AI" posted = they're buying, not building - 3 DevOps roles = scaling infrastructure = budget unlocked - new VP of Sales = restructuring = old vendor contracts up for review package it as buying signals delivered to Slack every morning $500-1,500/mo per sales team this is data that Apollo and ZoomInfo don't sell 3. Support ticket-to-documentation pipeline for SaaS every SaaS with 1,000+ users has the same problem.. docs are 6 months behind the product Claude crawls your help center, pulls recent Zendesk/Intercom tickets, cross-references finds questions asked 200 times last month with no matching article drafts the missing docs in your existing format.. flags stale articles for update $1,500-3,000/mo retainer the ROI math: 30% of support tickets deflected = thousands saved per month.. pipeline pays for itself week one 4. Vendor contract review & renewal tracker mid-size companies have 50-200 active vendor contracts sitting in folders nobody opens Claude reads each contract, extracts: - renewal dates and auto-renewal traps - termination notice windows - price escalation clauses - SLA commitments vs what you're actually getting delivers a dashboard with "contracts expiring in 30/60/90 days" and flags where you're overpaying $1,000-2,000/mo per company CFOs will approve this before you finish the pitch.. one caught auto-renewal pays for a year of your service 5. Employee onboarding doc generator for HR teams every company with 20+ employees has the same problem.. new hire starts Monday and nobody has their docs ready Claude reads the role title + department, generates: - personalized welcome packet - 30/60/90 day plan with milestones - tool access checklist by role - manager-specific onboarding schedule - policy summaries tailored to their department charge $300-500/mo per company HR managers spend 4-6 hours per new hire on this.. companies hiring 5+ people a month will never cancel the pattern is always the same most people will use Claude Code to build apps a small number will use it to sell pipelines to businesses still running on manual labor only the second group builds real recurring revenue the niches are wide open right now because every developer thinks this work is "too boring" boring = no competition = you set the price screenshot this. save this. repost it to save a friend's next year

Ronin

66,151 Aufrufe • vor 3 Monaten

🚨 Warner Bros spent $79,000,000 making Tom and Jerry live-action in 2019 a 24-year-old spent $50 last month and cleared $11,900 doing the same trick in CapCut turning old cartoons real is blowing up on Douyin: the original Tom and Jerry up top, the same shot rebuilt in 3D below, a jacked bulldog gripping a real cat. she copied it and hit TikTok and Reels first. > Research: find the clip pulling 10x a channel's normal views: 1 day > Claude: break the cartoon into a shot list, frame by frame: 20 min > CapCut: rebuild each shot photoreal, add AI voice and captions: 40 min > Make: auto-post to TikTok, Shorts, Reels, pull the views at 48h $50 a month in tools. the cartoon does the hooking for free. Hollywood took 2 years to make one cat real. she ships a new one daily. her whole workflow is in the article above👇
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🚨 Warner Bros spent $79,000,000 making Tom and Jerry live-action in 2019 a 24-year-old spent $50 last month and cleared $11,900 doing the same trick in CapCut turning old cartoons real is blowing up on Douyin: the original Tom and Jerry up top, the same shot rebuilt in 3D below, a jacked bulldog gripping a real cat. she copied it and hit TikTok and Reels first. > Research: find the clip pulling 10x a channel's normal views: 1 day > Claude: break the cartoon into a shot list, frame by frame: 20 min > CapCut: rebuild each shot photoreal, add AI voice and captions: 40 min > Make: auto-post to TikTok, Shorts, Reels, pull the views at 48h $50 a month in tools. the cartoon does the hooking for free. Hollywood took 2 years to make one cat real. she ships a new one daily. her whole workflow is in the article above👇

Fokki

37,270 Aufrufe • vor 7 Tagen