Video yükleniyor...

Video Yüklenemedi

Bu video yüklenirken bir sorun oluştu. Bu geçici bir ağ sorunundan kaynaklanıyor olabilir veya video kullanılamıyor olabilir.

Ana Sayfaya Dön

Chinese kid made $4,200,000 from Fortnite maps never touched a game controller once while millions played for free, he ran a system: > Claude generates 20 maps in 3 min > AI writes every Verse line > Maps run 24/7 > Epic sends monthly checks one map = ~$2,190/month... show more

wast3

3,766 subscribers

100,762 görüntüleme • 4 ay önce •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

$2,190/month from one Fortnite map he hasn't opened the game once while millions play for free every single day he treats it like a business This's his wallet: here's the system: > Claude generates 20 concepts in under 3 min > one map = 50k players × 12 min = $2,190/month > 10 maps live = $20,000+/month passive > Verse code written by AI, you just publish Epic built the audience AI removed the hard work the pool splits among whoever ships $350,000,000 funded every single year bookmarked and learn

$2,190/month from one Fortnite map he hasn't opened the game once while millions play for free every single day he treats it like a business This's his wallet: here's the system: > Claude generates 20 concepts in under 3 min > one map = 50k players × 12 min = $2,190/month > 10 maps live = $20,000+/month passive > Verse code written by AI, you just publish Epic built the audience AI removed the hard work the pool splits among whoever ships $350,000,000 funded every single year bookmarked and learn

wast3

51,163 görüntüleme • 3 ay önce

$340,000 from Fortnite maps at 19 years old while his college roommates were taking out student loans he was collecting checks from Epic every single month never opened the game once here's the system he ran: > Claude generated 20 concepts in under 3 min > one map → 50k players → $2,190/month > scaled to 12 maps → $26,000/month AI built the maps he just ran the pipeline the pool is $350M every single year and most people still haven't taken a dollar bookmarked and learn

$340,000 from Fortnite maps at 19 years old while his college roommates were taking out student loans he was collecting checks from Epic every single month never opened the game once here's the system he ran: > Claude generated 20 concepts in under 3 min > one map → 50k players → $2,190/month > scaled to 12 maps → $26,000/month AI built the maps he just ran the pipeline the pool is $350M every single year and most people still haven't taken a dollar bookmarked and learn

wast3

52,737 görüntüleme • 3 ay önce

$350,000,000 sits in Fortnite pool right now and almost nobody is taking a dollar millions of kids log in every day for free while others just grind for free here's the system: > Python + Claude pipeline > 20 concepts, under 3 minutes > one map → ~$2,190/month > 10 maps → actual income when the cash starts stacking, it needs somewhere to go that's where PolyGun comes in copy the best Polymarket traders automatically Epic built the audience the only thing missing is you trade with me:

$350,000,000 sits in Fortnite pool right now and almost nobody is taking a dollar millions of kids log in every day for free while others just grind for free here's the system: > Python + Claude pipeline > 20 concepts, under 3 minutes > one map → ~$2,190/month > 10 maps → actual income when the cash starts stacking, it needs somewhere to go that's where PolyGun comes in copy the best Polymarket traders automatically Epic built the audience the only thing missing is you trade with me:

wast3

57,252 görüntüleme • 4 ay önce

$350,000,000 on the table? one Python script and you have your share while millions log in just to play a few log in to collect here's the system: > 20 concepts generated in under 5 min > one map → 50k players → $2,190/month > 10 maps → $20,000+/month passive > AI writes Verse, you just hit publish Epic built the audience the pool is funded every single year the only variable is how many maps you have live ship this week or watch someone else collect bookmarked and learn

$350,000,000 on the table? one Python script and you have your share while millions log in just to play a few log in to collect here's the system: > 20 concepts generated in under 5 min > one map → 50k players → $2,190/month > 10 maps → $20,000+/month passive > AI writes Verse, you just hit publish Epic built the audience the pool is funded every single year the only variable is how many maps you have live ship this week or watch someone else collect bookmarked and learn

wast3

20,495 görüntüleme • 3 ay önce

$350,000,000 a year sitting in Epic's creator pool right now most people just play a few treat it like a business here's the system: > 1 map/week × 4 weeks = portfolio compounding > 50k players × 12 min = $2,190/month per map > 10 maps = $20,000+/month passive > Claude generates concepts, writes Verse, you ship Epic built the audience AI removed the bottleneck the pool splits among whoever publishes every single year bookmarked and learn

$350,000,000 a year sitting in Epic's creator pool right now most people just play a few treat it like a business here's the system: > 1 map/week × 4 weeks = portfolio compounding > 50k players × 12 min = $2,190/month per map > 10 maps = $20,000+/month passive > Claude generates concepts, writes Verse, you ship Epic built the audience AI removed the bottleneck the pool splits among whoever publishes every single year bookmarked and learn

wast3

44,649 görüntüleme • 3 ay önce

$350,000,000 already sitting on the table and most people still haven’t taken a single dollar while millions of kids log into Fortnite every day completely free meanwhile the smart creators: > run one Python + Claude pipeline > generate 20 retention-first concepts in under 3 min > turn one good map into ~$2,190/month > stack 10 maps into a portfolio that actually pays Epic built the audience AI removed the hard work you just ship and collect the pool is funded, only thing missing is you

$350,000,000 already sitting on the table and most people still haven’t taken a single dollar while millions of kids log into Fortnite every day completely free meanwhile the smart creators: > run one Python + Claude pipeline > generate 20 retention-first concepts in under 3 min > turn one good map into ~$2,190/month > stack 10 maps into a portfolio that actually pays Epic built the audience AI removed the hard work you just ship and collect the pool is funded, only thing missing is you

wast3

75,219 görüntüleme • 4 ay önce

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.

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 🦅

21,280 görüntüleme • 4 ay önce

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.

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

1,063,636 görüntüleme • 4 ay önce

While you were watching YouTube Shorts, a 20-year-old was getting paid by them. $14,621 in estimated revenue. From one video. Made by someone who has never appeared on camera once. He figured out something most creators spend years trying to learn: YouTube doesn't reward personality. It rewards retention. It doesn't verify who wrote the script. It doesn't check if a human recorded the voice. It measures one thing: do people watch to the end? Claude writes scripts that people watch to the end. Strong hook, tight structure, no dead seconds. The algorithm sees the retention. It pushes the video to more people. More people watch. The number climbs. 105 million is where it stopped climbing on this one. Then he made the next one. Just a system that produces videos and a platform that pays for every thousand people who watch. $66/month in tools. 30 minutes per video. A system that runs on its own after that. He uses it to print money while he sleeps.

While you were watching YouTube Shorts, a 20-year-old was getting paid by them. $14,621 in estimated revenue. From one video. Made by someone who has never appeared on camera once. He figured out something most creators spend years trying to learn: YouTube doesn't reward personality. It rewards retention. It doesn't verify who wrote the script. It doesn't check if a human recorded the voice. It measures one thing: do people watch to the end? Claude writes scripts that people watch to the end. Strong hook, tight structure, no dead seconds. The algorithm sees the retention. It pushes the video to more people. More people watch. The number climbs. 105 million is where it stopped climbing on this one. Then he made the next one. Just a system that produces videos and a platform that pays for every thousand people who watch. $66/month in tools. 30 minutes per video. A system that runs on its own after that. He uses it to print money while he sleeps.

Superior

10,454 görüntüleme • 4 ay önce

A 24-year-old US video editor who got tired of deadlines now makes $13,000 a month literally while sleeping At first, he was completely out of time trying to handle all his client orders, so he decided to offload 90% of the workflow to AI -> and now his business generates passive income 24/7 while he just rests in bed Using two AI plugins, he completely automated the process right inside Adobe Premiere Pro: > Automatic on-beat cutting: The first plugin analyzes any music track and instantly cuts the video footage perfectly to the beat > Hands-free b-roll editing: The second tool detects the audio's BPM, automatically selects the right secondary footage, and pieces together dynamic event recaps While the guy was asleep, the AI finished and delivered a project in just 2 minutes -> a task that used to take human editors days He has already fired his team of 3 editors, because the AI does it faster and for free. Artificial intelligence is changing the game, and literally anyone can repeat this

A 24-year-old US video editor who got tired of deadlines now makes $13,000 a month literally while sleeping At first, he was completely out of time trying to handle all his client orders, so he decided to offload 90% of the workflow to AI -> and now his business generates passive income 24/7 while he just rests in bed Using two AI plugins, he completely automated the process right inside Adobe Premiere Pro: > Automatic on-beat cutting: The first plugin analyzes any music track and instantly cuts the video footage perfectly to the beat > Hands-free b-roll editing: The second tool detects the audio's BPM, automatically selects the right secondary footage, and pieces together dynamic event recaps While the guy was asleep, the AI finished and delivered a project in just 2 minutes -> a task that used to take human editors days He has already fired his team of 3 editors, because the AI does it faster and for free. Artificial intelligence is changing the game, and literally anyone can repeat this

Ridark

20,158 görüntüleme • 2 ay önce

13 years old. making $20,000 a month. working just 1-2 hours a day. he didn’t work harder. he built a system. every morning, it looks at what’s trending. it finds the best posts from the last 24 hours. then it gives him 10 content ideas, ranked from best to worst. he picks one. one AI writes the post in his style. another checks it for mistakes. another posts it to 5 different platforms. one idea. five platforms. almost no manual work. after each post goes live, the system tracks what people liked, shared, and saved. it uses that data to make the next posts better. so the content keeps improving on its own. the results add up. 5 million views in 2 weeks. 100,000 bookmarks in 2 months. bookmarks matter. people only save posts they want to come back to. when lots of people save a post, platforms keep showing it to more people. that’s why his posts keep getting views… while he’s at school. while he’s sleeping. while he’s doing something else. the biggest advantage today isn’t working more. it’s building a system that works even when you don’t. watch the video. then read the full breakdown below.

13 years old. making $20,000 a month. working just 1-2 hours a day. he didn’t work harder. he built a system. every morning, it looks at what’s trending. it finds the best posts from the last 24 hours. then it gives him 10 content ideas, ranked from best to worst. he picks one. one AI writes the post in his style. another checks it for mistakes. another posts it to 5 different platforms. one idea. five platforms. almost no manual work. after each post goes live, the system tracks what people liked, shared, and saved. it uses that data to make the next posts better. so the content keeps improving on its own. the results add up. 5 million views in 2 weeks. 100,000 bookmarks in 2 months. bookmarks matter. people only save posts they want to come back to. when lots of people save a post, platforms keep showing it to more people. that’s why his posts keep getting views… while he’s at school. while he’s sleeping. while he’s doing something else. the biggest advantage today isn’t working more. it’s building a system that works even when you don’t. watch the video. then read the full breakdown below.

MIKE

2,878,433 görüntüleme • 2 ay önce

A 16-year-old in Austin made $49,200 in six months while every law firm in his city was busy counting Google reviews that nobody under 30 reads anymore. He walked into a law firm and asked the paralegal to search for the practice on Perplexity. The paralegal laughed and pointed at 400 five-star reviews on Google. He said, "Just do it." Perplexity had never heard of them. Here is what the kid understood that the paralegal did not. Google reviews are a ranking signal inside Google's algorithm. Perplexity runs its own crawler. It does not care how many stars you have on a platform it is not reading. It pulls from legal directories, bar association profiles, Yelp, structured schema data, and third-party citations. A firm can sit at the top of the Google Local Pack with 847 reviews and have zero citation presence inside the AI systems that 500 million users query every month. As of February 2026, the overlap between pages ranking in Google's top 10 and pages cited inside AI-generated answers had collapsed from 76 percent to under 20 percent. Two entirely different systems. Almost nobody in legal had noticed. The paralegal thought the reviews were the proof. The kid saw they were the blind spot. So he built a $1,200 audit. The deliverable is a single document. He opens Perplexity, ChatGPT, and Claude. He types the firm's practice area and city. He screenshots what comes back. Then he runs the same search on every competitor in the market. He maps which firms are being named, where the citations are coming from, and what data signals are missing from the ones that do not appear. The finding is almost always identical: No Foursquare listing No attorney schema or LegalService markup beyond the default WordPress install Bar association profile unlinked from the main site Attorney bios with no verifiable credentials structured for machine reading NAP inconsistent across the seven directories that Perplexity actually indexes A firm charging $450 an hour that ChatGPT cannot confidently recommend because it cannot verify the address matches across three platforms. Less than 5 percent of local businesses have done this work as of 2026. In legal, the number is closer to zero. He charges $1,200 to show them exactly where they do not exist. Then he quotes them the fix. He walked out of the first firm with a check. That firm referred him to two others before the week was over. Those two referred three more. He has never made a cold call. He has never run an ad. He does not have a website. 41 firms in six months. $49,200 in revenue. He is 16. From what I have observed, the arbitrage here is not technical. It is perceptual. Law firms spent a decade optimizing for a system that is no longer the first place their clients look. The 16-year-old simply walked in and showed them the new one.

Argona

478,087 görüntüleme • 4 ay önce

This guy bought a $400 Mac mini and walked into a coffee shop with $2,100 for installing an AI agent that never touches the internet. I had to rewatch this because the pitch is almost too simple. He shows up, plugs in the Mac mini, installs a local AI agent running entirely through Ollama, done in under an hour. Zero cloud dependency, no API bills, no monthly charges bleeding the client dry. The coffee shop owner gets a private AI system that keeps working even if the WiFi dies, and he walks out with $2,100 for an install that takes less time than a long lunch. The hardware cost him $400. One deployment and the machine's already paid for five times over. Then he locks in a monthly retainer for support, somewhere around $100-150, which means every client after the first is close to pure margin stacking on top of recurring revenue. Most people hear "AI business" and think they need to build a SaaS platform or learn to code or raise funding from someone. This skips all of that and goes straight to walking into coffee shops with a Mac mini under one arm. Not a company that scales to a billion dollars, obviously, but a solo operator clearing a few thousand a month from local installs while everyone else is still arguing about which LLM is best on Twitter.

This guy bought a $400 Mac mini and walked into a coffee shop with $2,100 for installing an AI agent that never touches the internet. I had to rewatch this because the pitch is almost too simple. He shows up, plugs in the Mac mini, installs a local AI agent running entirely through Ollama, done in under an hour. Zero cloud dependency, no API bills, no monthly charges bleeding the client dry. The coffee shop owner gets a private AI system that keeps working even if the WiFi dies, and he walks out with $2,100 for an install that takes less time than a long lunch. The hardware cost him $400. One deployment and the machine's already paid for five times over. Then he locks in a monthly retainer for support, somewhere around $100-150, which means every client after the first is close to pure margin stacking on top of recurring revenue. Most people hear "AI business" and think they need to build a SaaS platform or learn to code or raise funding from someone. This skips all of that and goes straight to walking into coffee shops with a Mac mini under one arm. Not a company that scales to a billion dollars, obviously, but a solo operator clearing a few thousand a month from local installs while everyone else is still arguing about which LLM is best on Twitter.

BrainRul

4,697,798 görüntüleme • 1 ay önce

A regular American developer bought $1,400 worth and stacked seven Mac Minis on top of each other and connected them with metal cables. Neighbors thought he was building a mining server. His wife thought he'd lost his mind. He just didn't want to pay $15,000 a month for a dev team. On the screen - a diagram. Seven Mac Minis connected via Ethernet working as one machine. EXO framework distributes tasks between them automatically. 11.44 TFLOPS each. Together - more than most cloud servers that companies pay thousands for every month. He paid $1,400 for the hardware once. 38 agents from GitHub, 156 skills. A system that learns from session to session and in two weeks writes code just like he does - but seven times faster because it runs on seven machines in parallel. A task that took a junior dev 10-12 hours - the tower closes in 20 minutes. One founder with this setup ships a product like a team of eight people. For $20 a month instead of $120,000 a year. This 7 Mac Mini setup helped him win the Anthropic hackathon and make $26,000 without a team.

A regular American developer bought $1,400 worth and stacked seven Mac Minis on top of each other and connected them with metal cables. Neighbors thought he was building a mining server. His wife thought he'd lost his mind. He just didn't want to pay $15,000 a month for a dev team. On the screen - a diagram. Seven Mac Minis connected via Ethernet working as one machine. EXO framework distributes tasks between them automatically. 11.44 TFLOPS each. Together - more than most cloud servers that companies pay thousands for every month. He paid $1,400 for the hardware once. 38 agents from GitHub, 156 skills. A system that learns from session to session and in two weeks writes code just like he does - but seven times faster because it runs on seven machines in parallel. A task that took a junior dev 10-12 hours - the tower closes in 20 minutes. One founder with this setup ships a product like a team of eight people. For $20 a month instead of $120,000 a year. This 7 Mac Mini setup helped him win the Anthropic hackathon and make $26,000 without a team.

Noisy

2,032,134 görüntüleme • 4 ay önce

🚨 Apple spends over $2,000,000 to shoot one iPhone commercial a 24-year-old Chinese student recreated that exact ad on a laptop for $50 and the clip is pulling millions of views. the subway. the floating phone. the hand reaching for the screen. she made all of it with AI. right now this is the trend flooding your feed: one person shooting ads that look like Apple made them. > Research scores the outliers: views ÷ channel median, over 30 and you copy that format this week > Claude reskins the winning shape onto a new product and writes the shot list: 20 minutes > CapCut generates every frame, the lighting, the motion, exports 9:16: 1 hour > Make posts to 3 platforms and reads the view counts back in 48 hours 4 tools. $50/month. Apple hires an agency for one spot. this student ships a new one every week. first people to run the format eat the whole trend. the whole factory is in the article above👇

🚨 Apple spends over $2,000,000 to shoot one iPhone commercial a 24-year-old Chinese student recreated that exact ad on a laptop for $50 and the clip is pulling millions of views. the subway. the floating phone. the hand reaching for the screen. she made all of it with AI. right now this is the trend flooding your feed: one person shooting ads that look like Apple made them. > Research scores the outliers: views ÷ channel median, over 30 and you copy that format this week > Claude reskins the winning shape onto a new product and writes the shot list: 20 minutes > CapCut generates every frame, the lighting, the motion, exports 9:16: 1 hour > Make posts to 3 platforms and reads the view counts back in 48 hours 4 tools. $50/month. Apple hires an agency for one spot. this student ships a new one every week. first people to run the format eat the whole trend. the whole factory is in the article above👇

Fokki

73,455 görüntüleme • 1 ay önce

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.

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

3,238,544 görüntüleme • 4 ay önce

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.

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 görüntüleme • 2 ay önce

Cancelled ChatGPT -> Built JARVIS -> Pays $0 -> it works offline + it's smarter than the $20/month version. No WiFi needed, no cloud, no API keys, no rate limits, no queues, no $20/month just to ask a server in Virginia for the weather. Just a local model running directly on the laptop hardware, voice activated, system integrated, controlling apps, answering questions, doing the work. Iron Man had JARVIS embedded in his suit, this guy has it embedded in his MacBook and it works on a plane, in a basement, on a remote cabin with zero signal. OpenAI is burning $700,000 a day on infrastructure to deliver something this guy runs for free. Anthropic charges $200/month for unlimited Claude access, microsoft built Copilot into every product they sell. This guy skipped all of it, downloaded a model and made his laptop the smartest device in the room. No subscription. No login. No internet. No data sent anywhere ever. The most powerful AI assistant on earth is now the one running locally on hardware you already own. ChatGPT charges you to think slower, he pays nothing and thinks alone, he made it himself.

Cancelled ChatGPT -> Built JARVIS -> Pays $0 -> it works offline + it's smarter than the $20/month version. No WiFi needed, no cloud, no API keys, no rate limits, no queues, no $20/month just to ask a server in Virginia for the weather. Just a local model running directly on the laptop hardware, voice activated, system integrated, controlling apps, answering questions, doing the work. Iron Man had JARVIS embedded in his suit, this guy has it embedded in his MacBook and it works on a plane, in a basement, on a remote cabin with zero signal. OpenAI is burning $700,000 a day on infrastructure to deliver something this guy runs for free. Anthropic charges $200/month for unlimited Claude access, microsoft built Copilot into every product they sell. This guy skipped all of it, downloaded a model and made his laptop the smartest device in the room. No subscription. No login. No internet. No data sent anywhere ever. The most powerful AI assistant on earth is now the one running locally on hardware you already own. ChatGPT charges you to think slower, he pays nothing and thinks alone, he made it himself.

Defileo🔮

154,607 görüntüleme • 4 ay önce

grok bot + obsidian is basically superhuman mode... my agent team now has a second brain... a karpathy-style llm wiki for every bot, every decision, and every piece of research. p.s. this video was made and edited by grok bot in cap (here’s how i set it up in roughly 5 minutes) 1/ create one obsidian vault on the chief of staff’s computer. make Home.md the door. 2/ create Hunt folders for twitter, github, hacker-news, reddit, product-hunt, and inbox. 3/ create Ship folders for drafts, digests, angles, and builds. 4/ create the CoS wiki: Index, How-it-works, Today, and Decisions. 5/ create Maps for Jarvis, Hooks, and TELOS. 6/ use graph colors: gold for wiki, teal for maps, blue for twitter, green for github. 7/ file first. every note gets a date and a folder. 8/ scouts write into Hunt and never ping you. chat only receives a short digest. 9/ nothing in the vault posts, pays, or sends. the final yes stays human. 10/ run the daily loop: 08:00 IST for the Daily note, then agency reports at 08:14, 14:14, and 20:14. 11/ performance writes to twitter/live-score. staff engineer writes to builds/. 12/ lock decisions in Wiki/Decisions so dead posts don’t get remade. 13/ earn hooks in Maps/Hooks: trend -> foil -> hook family -> artifact -> lock. don't waste time reading this. give it to your agent

grok bot + obsidian is basically superhuman mode... my agent team now has a second brain... a karpathy-style llm wiki for every bot, every decision, and every piece of research. p.s. this video was made and edited by grok bot in cap (here’s how i set it up in roughly 5 minutes) 1/ create one obsidian vault on the chief of staff’s computer. make Home.md the door. 2/ create Hunt folders for twitter, github, hacker-news, reddit, product-hunt, and inbox. 3/ create Ship folders for drafts, digests, angles, and builds. 4/ create the CoS wiki: Index, How-it-works, Today, and Decisions. 5/ create Maps for Jarvis, Hooks, and TELOS. 6/ use graph colors: gold for wiki, teal for maps, blue for twitter, green for github. 7/ file first. every note gets a date and a folder. 8/ scouts write into Hunt and never ping you. chat only receives a short digest. 9/ nothing in the vault posts, pays, or sends. the final yes stays human. 10/ run the daily loop: 08:00 IST for the Daily note, then agency reports at 08:14, 14:14, and 20:14. 11/ performance writes to twitter/live-score. staff engineer writes to builds/. 12/ lock decisions in Wiki/Decisions so dead posts don’t get remade. 13/ earn hooks in Maps/Hooks: trend -> foil -> hook family -> artifact -> lock. don't waste time reading this. give it to your agent

Avid

15,794 görüntüleme • 20 gün önce

My dad called me at 7 AM on a Sunday. I need you to look at something. Do not tell your mother. I thought he was sick. He sent me a screenshot. A Claude terminal. Live Polymarket odds. Green numbers. +$14,200. He is 56. Retired electrician. Calls WiFi the internet box. Dad what the fuck is this? I found an article about connecting Claude to Polymarket. Told Claude to install it. One prompt. Four commands. 45 tools running on his old Dell laptop. Live orderbooks. Volume spikes. Closing deadlines. All inside Claude. He does not know what MCP means. Does not care. Every morning at 5 AM. Before mom wakes up. Reading glasses and black coffee. He asks Claude: What is closing today with mispriced odds? Claude cross-references markets in one call. Spots where the price disagrees with the news. He does not out-execute bots. He out-waits them. Quarter Kelly. $500 from his fishing fund. Last 60 days: 680 trades 90.2% win rate +$14,200 Best trade: Claude alert pinged him during Sunday football. Volume spike on a geopolitics market. Entry $0.09. Resolved $1.00. +$2,800. Mom thought he was checking the score. He was not checking the score. Last week he booked her a cruise. Said he had been saving since January. He has not saved anything since January. When are you telling her? When I hit $25K. I am buying the lake house. Dad you do not even know what an API is. I do not need to. The machine knows. He still calls Claude the machine. The machine prints money. I built the entire framework he used: Claude MCP setup Polymarket mispricing detection Quarter Kelly position sizing Volume spike alerts Cron-based market scanning The system runs 24/7. Finds mispriced odds before the crowd adjusts. Executes before the edge compresses. No emotions. No FOMO. Just math. You only need Claude + device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word money 2. Like and retweet this 3. Follow me Himanshu Kumar so I can DM you Save this post. Deploy the mispricing system this week. Start with $500. Scale on evidence.

My dad called me at 7 AM on a Sunday. I need you to look at something. Do not tell your mother. I thought he was sick. He sent me a screenshot. A Claude terminal. Live Polymarket odds. Green numbers. +$14,200. He is 56. Retired electrician. Calls WiFi the internet box. Dad what the fuck is this? I found an article about connecting Claude to Polymarket. Told Claude to install it. One prompt. Four commands. 45 tools running on his old Dell laptop. Live orderbooks. Volume spikes. Closing deadlines. All inside Claude. He does not know what MCP means. Does not care. Every morning at 5 AM. Before mom wakes up. Reading glasses and black coffee. He asks Claude: What is closing today with mispriced odds? Claude cross-references markets in one call. Spots where the price disagrees with the news. He does not out-execute bots. He out-waits them. Quarter Kelly. $500 from his fishing fund. Last 60 days: 680 trades 90.2% win rate +$14,200 Best trade: Claude alert pinged him during Sunday football. Volume spike on a geopolitics market. Entry $0.09. Resolved $1.00. +$2,800. Mom thought he was checking the score. He was not checking the score. Last week he booked her a cruise. Said he had been saving since January. He has not saved anything since January. When are you telling her? When I hit $25K. I am buying the lake house. Dad you do not even know what an API is. I do not need to. The machine knows. He still calls Claude the machine. The machine prints money. I built the entire framework he used: Claude MCP setup Polymarket mispricing detection Quarter Kelly position sizing Volume spike alerts Cron-based market scanning The system runs 24/7. Finds mispriced odds before the crowd adjusts. Executes before the edge compresses. No emotions. No FOMO. Just math. You only need Claude + device + 1 hour per day. Giving this free for 24 hours. To get it: 1. Comment the word money 2. Like and retweet this 3. Follow me Himanshu Kumar so I can DM you Save this post. Deploy the mispricing system this week. Start with $500. Scale on evidence.

Himanshu Kumar

18,287 görüntüleme • 2 ay önce