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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...

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Noisy

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2,029,394 просмотров • 2 месяцев назад •via X (Twitter)

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A group of Chinese students bought 7 Mac Minis on eBay for $1,600 total, connected them through Ethernet into one system and opened an AI financial office right in their dorm room. Their first client was paying a financial advisor $8,400 a year. They charged $240 a year and did the same thing - only better. Claude reads 10-K filings in seconds, builds allocation models without commission bias, runs tax optimization scenarios and models retirement down to the dollar. A financial advisor on a $500,000 portfolio charges $5,000 a year just for existing - and 92% of them underperform a simple index fund over 15 years. Warren Buffett bet $1,000,000 that a plain S&P 500 index fund would beat any hedge fund over 10 years. He won by $854,000. Seven Mac Minis, one CLAUDE.md file and $240 a year replaced a team of analysts. First month - 8 clients, second month - 20 from referrals. $1,600 invested once. The rest is just rows in a client spreadsheet.
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A group of Chinese students bought 7 Mac Minis on eBay for $1,600 total, connected them through Ethernet into one system and opened an AI financial office right in their dorm room. Their first client was paying a financial advisor $8,400 a year. They charged $240 a year and did the same thing - only better. Claude reads 10-K filings in seconds, builds allocation models without commission bias, runs tax optimization scenarios and models retirement down to the dollar. A financial advisor on a $500,000 portfolio charges $5,000 a year just for existing - and 92% of them underperform a simple index fund over 15 years. Warren Buffett bet $1,000,000 that a plain S&P 500 index fund would beat any hedge fund over 10 years. He won by $854,000. Seven Mac Minis, one CLAUDE.md file and $240 a year replaced a team of analysts. First month - 8 clients, second month - 20 from referrals. $1,600 invested once. The rest is just rows in a client spreadsheet.

Cortex

3,374,318 просмотров • 1 месяц назад

HUI LUI BOUGHT 100 MAC MINIS TO BUILD A PRIVATE AI SERVER FARM. ONE $599 BOX ALONE KILLS A $200/MONTH CLAUDE CODE BILL FOR $3 IN ELECTRICITY a developer posted his $170 claude code bill from 10 days on reddit. someone replied "i bought a mac mini m4. haven't paid anthropic since" the m4 chip has 120 gb/s memory bandwidth and unified memory. a $599 mac mini runs ai faster than a $1,500 windows pc with a discrete gpu ollama now supports the anthropic messages api. claude code connects to your local mac mini with one environment variable. zero api costs, same interface a heavy developer pays $459 a month across claude code, chatgpt pro, gemini, cursor and copilot. the mac mini pays off in 3 months and runs on $3 after that uber rolled out claude code to 5,000 engineers and burned $3.4 billion in 4 months. the people who own the hardware in 2026 will look very far ahead in 2028 bookmark this and read the article below
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HUI LUI BOUGHT 100 MAC MINIS TO BUILD A PRIVATE AI SERVER FARM. ONE $599 BOX ALONE KILLS A $200/MONTH CLAUDE CODE BILL FOR $3 IN ELECTRICITY a developer posted his $170 claude code bill from 10 days on reddit. someone replied "i bought a mac mini m4. haven't paid anthropic since" the m4 chip has 120 gb/s memory bandwidth and unified memory. a $599 mac mini runs ai faster than a $1,500 windows pc with a discrete gpu ollama now supports the anthropic messages api. claude code connects to your local mac mini with one environment variable. zero api costs, same interface a heavy developer pays $459 a month across claude code, chatgpt pro, gemini, cursor and copilot. the mac mini pays off in 3 months and runs on $3 after that uber rolled out claude code to 5,000 engineers and burned $3.4 billion in 4 months. the people who own the hardware in 2026 will look very far ahead in 2028 bookmark this and read the article below

starmex

223,889 просмотров • 24 дней назад

MARCUS CHEN STACKED 30 MAC MINIS INTO AN AI SERVER FARM. ONE $599 MAC MINI REPLACES YOUR $200/MONTH CLAUDE CODE BILL WITH $3 IN ELECTRICITY two months ago a developer posted his claude code bill on reddit. $170 in 10 days. someone replied "i bought a mac mini m4. haven't paid anthropic since." apple stores ran out of mac minis the same week the m4 chip has 120 gb/s memory bandwidth and unified memory architecture. cpu and gpu share one pool so the model loads once and both read from it. a $599 mac mini runs ai faster than a $1,500 windows pc with a discrete gpu since january 2026 ollama supports the anthropic messages api format. claude code connects directly to your local mac mini with one environment variable. same interface, zero api costs, $0 per request a heavy developer pays $459 a month across claude code max, chatgpt pro, gemini, cursor and copilot. that's $5,508 a year. the mac mini pays off in 3 months and runs on $3 in electricity after that uber rolled out claude code to 5,000 engineers and burned through their $3.4 billion 2026 ai budget in 4 months. the people who own the hardware in 2026 are going to look very far ahead in 2028 bookmark this and read the article below
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MARCUS CHEN STACKED 30 MAC MINIS INTO AN AI SERVER FARM. ONE $599 MAC MINI REPLACES YOUR $200/MONTH CLAUDE CODE BILL WITH $3 IN ELECTRICITY two months ago a developer posted his claude code bill on reddit. $170 in 10 days. someone replied "i bought a mac mini m4. haven't paid anthropic since." apple stores ran out of mac minis the same week the m4 chip has 120 gb/s memory bandwidth and unified memory architecture. cpu and gpu share one pool so the model loads once and both read from it. a $599 mac mini runs ai faster than a $1,500 windows pc with a discrete gpu since january 2026 ollama supports the anthropic messages api format. claude code connects directly to your local mac mini with one environment variable. same interface, zero api costs, $0 per request a heavy developer pays $459 a month across claude code max, chatgpt pro, gemini, cursor and copilot. that's $5,508 a year. the mac mini pays off in 3 months and runs on $3 in electricity after that uber rolled out claude code to 5,000 engineers and burned through their $3.4 billion 2026 ai budget in 4 months. the people who own the hardware in 2026 are going to look very far ahead in 2028 bookmark this and read the article below

starmex

356,714 просмотров • 24 дней назад

A guy was paying $200/mo for Claude Max. His subscription burned through in 3 hours of work. He bought a base Mac Mini for $599. Installed 5 local models on it. One command. One flag. His office neighbors thought he was mining crypto. He just taught the machine to sort messages, compress context, and keep the system alive while he sleeps. At 4am Claude hit its rate limit. The local model picked up. In the morning he read the logs - everything worked. He didn't even wake up. A team doing the same thing - that's 3 engineers and $15,000/mo on API costs. He paid $599 once. 35 billion parameters on 16 gigs of memory. Everyone said impossible. One flag in one command proved them all wrong. And people like him - there's only a handful so far.
0:16

A guy was paying $200/mo for Claude Max. His subscription burned through in 3 hours of work. He bought a base Mac Mini for $599. Installed 5 local models on it. One command. One flag. His office neighbors thought he was mining crypto. He just taught the machine to sort messages, compress context, and keep the system alive while he sleeps. At 4am Claude hit its rate limit. The local model picked up. In the morning he read the logs - everything worked. He didn't even wake up. A team doing the same thing - that's 3 engineers and $15,000/mo on API costs. He paid $599 once. 35 billion parameters on 16 gigs of memory. Everyone said impossible. One flag in one command proved them all wrong. And people like him - there's only a handful so far.

Medvid

7,636,558 просмотров • 2 месяцев назад

A Guy paying $3,200/month to run AI agents in the cloud. Then he stacked 4 Mac Minis on his desk. Cost: • $2,396 one time • $12/month electricity Result: • Cloud bill: $3,200 → $0 • Faster response times • Private data stays local • $38,000+ saved in year one The craziest part? Once AI runs on your desk, every experiment becomes free. The cloud isn't always cheaper.
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A Guy paying $3,200/month to run AI agents in the cloud. Then he stacked 4 Mac Minis on his desk. Cost: • $2,396 one time • $12/month electricity Result: • Cloud bill: $3,200 → $0 • Faster response times • Private data stays local • $38,000+ saved in year one The craziest part? Once AI runs on your desk, every experiment becomes free. The cloud isn't always cheaper.

Radha Tripathi

40,773 просмотров • 24 дней назад

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

3,235,700 просмотров • 2 месяцев назад

This Nvidia GPU farm sits in a spare room and prints $18,000 a month Ten cards running 24 hours a day, seven days a week. The setup cost $120,000 to build but it paid for itself in seven months. It does not mine crypto. It rents compute to AI companies that need processing power right now. Companies pay by the hour and the demand never stops. At full capacity the farm pulls $18,000 a month after electricity costs. The owner does not touch it. It just runs. Nvidia GPUs are the most in-demand piece of hardware on the planet right now. The companies that figured this out two years ago are already sitting on serious passive income. The barrier to entry is high but the people inside are not leaving. Follow if you want to understand where the real AI money is actually going.
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This Nvidia GPU farm sits in a spare room and prints $18,000 a month Ten cards running 24 hours a day, seven days a week. The setup cost $120,000 to build but it paid for itself in seven months. It does not mine crypto. It rents compute to AI companies that need processing power right now. Companies pay by the hour and the demand never stops. At full capacity the farm pulls $18,000 a month after electricity costs. The owner does not touch it. It just runs. Nvidia GPUs are the most in-demand piece of hardware on the planet right now. The companies that figured this out two years ago are already sitting on serious passive income. The barrier to entry is high but the people inside are not leaving. Follow if you want to understand where the real AI money is actually going.

winkle.

22,626 просмотров • 20 дней назад

working on a little guy that writes swift / iOS / Mac code for you. give him simple tasks and he will make you a pr! and LOOK at the dock icon...
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working on a little guy that writes swift / iOS / Mac code for you. give him simple tasks and he will make you a pr! and LOOK at the dock icon...

nate parrott

29,120 просмотров • 1 год назад

This guy built a visual scanner that reads 468 points on his face and 42 points on his hands from a regular webcam and turns them into a cloud of thousands of particles right between his palms. Inside, MediaPipe and TouchDesigner are linked: the first captures hands and face from the webcam with high accuracy, the second turns those coordinates into a live plane and feeds it into a POP system that instantly generates a swarm of particles in the shape of a head. No studio, no render farmer, no VR headset. Just a laptop, a webcam, and 1 TouchDesigner session. And traditional VJ studios keep teams of 5 people on a setup with lighting, custom hardware, and commercial plugins, while his expenses are only a TouchDesigner subscription and a regular USB camera. One laptop runs MediaPipe and TouchDesigner simultaneously, holds the camera stream at 60 FPS without drops, and in parallel processes 468 face points + 21 points on each hand. The camera captures frame after frame, MediaPipe in real time sends TouchDesigner the finger coordinates and face geometry, and the POP operator inside the engine translates those numbers into thousands of particle points with colors from bright pink to gold. This setup immediately defines the role of the tool and the limits of its autonomy. It knows where the fingertips are at every moment of the frame. It knows how to read the face geometry at any angle to the camera. It knows how to draw a swarm of particles between them with the right color and contour. → MediaPipe pulls 468 points from the face and 21 points from each hand, 60 times per second → TouchDesigner receives those coordinates, builds a virtual rectangle between the fingertips, and feeds it into the POP system → POP generates thousands of particle points in the shape of a head, coloring them in a gradient from bright pink to gold → The HUD layer adds green corners and a blue neon frame, styling the image like an AR interface → All layers assemble into 1 real-time frame that projects back onto the video in the camera window → The final image is recorded to a file or broadcast to a projector for a live installation And only when the guy spreads his hands wider does the plane between the palms stretch; brings them together, it narrows. Otherwise the system runs on its own. And when he moves from his home room to a concert hall, the same laptop with the same webcam launches the same TouchDesigner session in just 5 minutes, without reconfiguration, without a new team, and without a single line of new code. In his work setup there is no studio of his own and no team for assembly. On the desk sits a laptop with a webcam, on top run MediaPipe and TouchDesigner with POP operators, and the same setup through a USB camera moves to any concert without a new configuration. Out of everything I have seen this year, this is the cleanest Creative Coding setup on 1 laptop: 0 render farms, 0 studio lighting, and between them 3 libraries, thousands of particle points, and 1 webcam.
0:10

This guy built a visual scanner that reads 468 points on his face and 42 points on his hands from a regular webcam and turns them into a cloud of thousands of particles right between his palms. Inside, MediaPipe and TouchDesigner are linked: the first captures hands and face from the webcam with high accuracy, the second turns those coordinates into a live plane and feeds it into a POP system that instantly generates a swarm of particles in the shape of a head. No studio, no render farmer, no VR headset. Just a laptop, a webcam, and 1 TouchDesigner session. And traditional VJ studios keep teams of 5 people on a setup with lighting, custom hardware, and commercial plugins, while his expenses are only a TouchDesigner subscription and a regular USB camera. One laptop runs MediaPipe and TouchDesigner simultaneously, holds the camera stream at 60 FPS without drops, and in parallel processes 468 face points + 21 points on each hand. The camera captures frame after frame, MediaPipe in real time sends TouchDesigner the finger coordinates and face geometry, and the POP operator inside the engine translates those numbers into thousands of particle points with colors from bright pink to gold. This setup immediately defines the role of the tool and the limits of its autonomy. It knows where the fingertips are at every moment of the frame. It knows how to read the face geometry at any angle to the camera. It knows how to draw a swarm of particles between them with the right color and contour. → MediaPipe pulls 468 points from the face and 21 points from each hand, 60 times per second → TouchDesigner receives those coordinates, builds a virtual rectangle between the fingertips, and feeds it into the POP system → POP generates thousands of particle points in the shape of a head, coloring them in a gradient from bright pink to gold → The HUD layer adds green corners and a blue neon frame, styling the image like an AR interface → All layers assemble into 1 real-time frame that projects back onto the video in the camera window → The final image is recorded to a file or broadcast to a projector for a live installation And only when the guy spreads his hands wider does the plane between the palms stretch; brings them together, it narrows. Otherwise the system runs on its own. And when he moves from his home room to a concert hall, the same laptop with the same webcam launches the same TouchDesigner session in just 5 minutes, without reconfiguration, without a new team, and without a single line of new code. In his work setup there is no studio of his own and no team for assembly. On the desk sits a laptop with a webcam, on top run MediaPipe and TouchDesigner with POP operators, and the same setup through a USB camera moves to any concert without a new configuration. Out of everything I have seen this year, this is the cleanest Creative Coding setup on 1 laptop: 0 render farms, 0 studio lighting, and between them 3 libraries, thousands of particle points, and 1 webcam.

Blaze

38,242 просмотров • 1 месяц назад

A 15-year-old just pulled $500K on Shopify. From his bedroom. $33/month in tools. No team. No course. No investors. The trick: he stopped using AI like a search bar. He wrote six job descriptions and hired it as a 6-person team. One finds the product. One vets suppliers. One writes the page. One writes ad scripts. One answers 81% of support tickets while he sleeps. One tells him every Sunday what's broken. While you're reading this, someone just copied his stack.
0:14

A 15-year-old just pulled $500K on Shopify. From his bedroom. $33/month in tools. No team. No course. No investors. The trick: he stopped using AI like a search bar. He wrote six job descriptions and hired it as a 6-person team. One finds the product. One vets suppliers. One writes the page. One writes ad scripts. One answers 81% of support tickets while he sleeps. One tells him every Sunday what's broken. While you're reading this, someone just copied his stack.

shmidt

415,253 просмотров • 1 месяц назад

A CHINESE TRADER BUILT A SECOND BRAIN IN OBSIDIAN THAT GENERATES 3 TRADING IDEAS EVERY MORNING AT 6AM AND MADE $180,000 IN 6 MONTHS. No Bloomberg terminal. No analytics desk. No team of analysts. A Mac Mini by the wall. An iPhone in his pocket. One local Obsidian vault. Six N8N pipelines running 24/7, pulling every article he reads, every podcast he listens to, and every voice note he drops into a Telegram bot—directly into the vault. Every night, a neural network reads across 4,000 connected notes and finds the strongest connections between fresh information and old theses. Every morning at 6AM, a brief lands in his inbox: - 3 trading ideas with confidence scores - The emerging thesis of the week - Any note that contradicts an active position The system only wakes him up when a fresh note contradicts his thesis, or when an idea breaks 90% confidence. Everything else runs without him. The monthly bill: $120 in API costs. The monthly return: approximately $30,000 into the account. Traditional quant funds pay teams of 8 people to produce the same flow of insights. He pays $120 and a Mac Mini. The full system breakdown is in the article below. Bookmark this before you pay for a Bloomberg subscription. Follow CyrilXBT for every solo operator setup that changes what one person can build.
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A CHINESE TRADER BUILT A SECOND BRAIN IN OBSIDIAN THAT GENERATES 3 TRADING IDEAS EVERY MORNING AT 6AM AND MADE $180,000 IN 6 MONTHS. No Bloomberg terminal. No analytics desk. No team of analysts. A Mac Mini by the wall. An iPhone in his pocket. One local Obsidian vault. Six N8N pipelines running 24/7, pulling every article he reads, every podcast he listens to, and every voice note he drops into a Telegram bot—directly into the vault. Every night, a neural network reads across 4,000 connected notes and finds the strongest connections between fresh information and old theses. Every morning at 6AM, a brief lands in his inbox: - 3 trading ideas with confidence scores - The emerging thesis of the week - Any note that contradicts an active position The system only wakes him up when a fresh note contradicts his thesis, or when an idea breaks 90% confidence. Everything else runs without him. The monthly bill: $120 in API costs. The monthly return: approximately $30,000 into the account. Traditional quant funds pay teams of 8 people to produce the same flow of insights. He pays $120 and a Mac Mini. The full system breakdown is in the article below. Bookmark this before you pay for a Bloomberg subscription. Follow CyrilXBT for every solo operator setup that changes what one person can build.

CyrilXBT

120,903 просмотров • 4 дней назад

A CHINESE TRADER BUILT A SECOND BRAIN IN OBSIDIAN THAT GENERATES 3 TRADING IDEAS EVERY MORNING AT 6AM AND MADE $180,000 IN 6 MONTHS. No Bloomberg terminal. No analytics desk. No team of analysts. A Mac Mini by the wall. An iPhone in his pocket. One local Obsidian vault. Six N8N pipelines running 24/7, pulling every article he reads, every podcast he listens to, and every voice note he drops into a Telegram bot—directly into the vault. Every night, a neural network reads across 4,000 connected notes and finds the strongest connections between fresh information and old theses. Every morning at 6AM, a brief lands in his inbox: - 3 trading ideas with confidence scores - The emerging thesis of the week - Any note that contradicts an active position The system only wakes him up when a fresh note contradicts his thesis, or when an idea breaks 90% confidence. Everything else runs without him. The monthly bill: $120 in API costs. The monthly return: approximately $30,000 into the account. Traditional quant funds pay teams of 8 people to produce the same flow of insights. He pays $120 and a Mac Mini. The full system breakdown is in the article below. Bookmark this before you pay for a Bloomberg subscription. Follow CyrilXBT for every solo operator setup that changes what one person can build.
0:15

A CHINESE TRADER BUILT A SECOND BRAIN IN OBSIDIAN THAT GENERATES 3 TRADING IDEAS EVERY MORNING AT 6AM AND MADE $180,000 IN 6 MONTHS. No Bloomberg terminal. No analytics desk. No team of analysts. A Mac Mini by the wall. An iPhone in his pocket. One local Obsidian vault. Six N8N pipelines running 24/7, pulling every article he reads, every podcast he listens to, and every voice note he drops into a Telegram bot—directly into the vault. Every night, a neural network reads across 4,000 connected notes and finds the strongest connections between fresh information and old theses. Every morning at 6AM, a brief lands in his inbox: - 3 trading ideas with confidence scores - The emerging thesis of the week - Any note that contradicts an active position The system only wakes him up when a fresh note contradicts his thesis, or when an idea breaks 90% confidence. Everything else runs without him. The monthly bill: $120 in API costs. The monthly return: approximately $30,000 into the account. Traditional quant funds pay teams of 8 people to produce the same flow of insights. He pays $120 and a Mac Mini. The full system breakdown is in the article below. Bookmark this before you pay for a Bloomberg subscription. Follow CyrilXBT for every solo operator setup that changes what one person can build.

CyrilXBT

114,879 просмотров • 17 дней назад

This 47-year-old man from Japan made $14,450 in a month by creating an AI girl and turning her into a virtual influencer. He got tired of watching people hire a model and a photographer and an editor and a content manager for a virtual influencer and burn a budget on it. He built an AI girl from scratch and handed the whole operation to Claude. A project like that used to cost a team. His entire spend is $20 a month. No model. No studio. No team. Here is the exact breakdown: → First he built the persona herself: a face, a character, a backstory and a manner that the AI keeps identical in every clip → He films it simply: the girl is on top of the frame and he sits below in the same room and she repeats his moves and his face so the character reads as alive → The first free source is TikTok and the second is Reddit with photos and short videos and behind-the-scenes and both point to one link in the profile → From there Claude carries it all: it designs the visuals and writes the captions and shapes the content for the algorithm and posts on a schedule almost without him → From that link a person lands not on a pretty picture but on a subscription, a digital product or a private community The move that 96% skip: they polish the girl herself but the asset is not the face, it is the system around her. Make just a pretty AI girl and she dissolves into thousands like her within a week. Run two free traffic streams into her and a stack of ways to pay and the attention starts turning into money because people pay not for a picture but for access and a product and exclusivity. Here is what those $14,450 are made of. A private Patreon subscription: 700 people at $9.90 is $6,930. Digital products on Gumroad like photosets and wallpapers and prompt packs: 300 sales at $19 is $5,700. Affiliate offers for AI tools: 100 conversions at $12 is $1,200. Donations and paid requests added about $620 more. He grew the TikTok in 5 days: the clips pulled 1,500,000 views and 6,790 followers off a persona that did not exist a week earlier. Under the clips people argue whether the girl is real and that argument carries them further on its own. Not a single shoot day. Not a dollar on ads. Not a single hire. Just one AI persona. Two free traffic streams. And the discipline to build a system around her not just polish one picture. Half of you are already typing that nobody will watch a virtual influencer. The other half is already setting up an account for their first persona. Which half are you in?
0:10

This 47-year-old man from Japan made $14,450 in a month by creating an AI girl and turning her into a virtual influencer. He got tired of watching people hire a model and a photographer and an editor and a content manager for a virtual influencer and burn a budget on it. He built an AI girl from scratch and handed the whole operation to Claude. A project like that used to cost a team. His entire spend is $20 a month. No model. No studio. No team. Here is the exact breakdown: → First he built the persona herself: a face, a character, a backstory and a manner that the AI keeps identical in every clip → He films it simply: the girl is on top of the frame and he sits below in the same room and she repeats his moves and his face so the character reads as alive → The first free source is TikTok and the second is Reddit with photos and short videos and behind-the-scenes and both point to one link in the profile → From there Claude carries it all: it designs the visuals and writes the captions and shapes the content for the algorithm and posts on a schedule almost without him → From that link a person lands not on a pretty picture but on a subscription, a digital product or a private community The move that 96% skip: they polish the girl herself but the asset is not the face, it is the system around her. Make just a pretty AI girl and she dissolves into thousands like her within a week. Run two free traffic streams into her and a stack of ways to pay and the attention starts turning into money because people pay not for a picture but for access and a product and exclusivity. Here is what those $14,450 are made of. A private Patreon subscription: 700 people at $9.90 is $6,930. Digital products on Gumroad like photosets and wallpapers and prompt packs: 300 sales at $19 is $5,700. Affiliate offers for AI tools: 100 conversions at $12 is $1,200. Donations and paid requests added about $620 more. He grew the TikTok in 5 days: the clips pulled 1,500,000 views and 6,790 followers off a persona that did not exist a week earlier. Under the clips people argue whether the girl is real and that argument carries them further on its own. Not a single shoot day. Not a dollar on ads. Not a single hire. Just one AI persona. Two free traffic streams. And the discipline to build a system around her not just polish one picture. Half of you are already typing that nobody will watch a virtual influencer. The other half is already setting up an account for their first persona. Which half are you in?

Kaidu

48,471 просмотров • 11 дней назад

“The power of 12 as 1 is real. Synergy. People buying in - doing it together. We don’t have a bunch of superstars. We are just a really good football team that’s tough and connected.” When a team plays for each other NOT just with each other, that’s when greatness happens.
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“The power of 12 as 1 is real. Synergy. People buying in - doing it together. We don’t have a bunch of superstars. We are just a really good football team that’s tough and connected.” When a team plays for each other NOT just with each other, that’s when greatness happens.

The Winning Difference

242,605 просмотров • 5 месяцев назад

THIS GUY BOUGHT A $2,400 NVIDIA BOX AND SAVED $18,700/YEAR ON CLOUD GPUS WITHOUT RENTING SERVERS AGAIN the entire setup runs on one rule - stop paying every time you want to test something most people run 20 small AI experiments in the cloud and think it’s cheap because each one looks harmless - then the invoice comes in and suddenly their “side project” has the same monthly cost as a car payment he made the same mistake for months and it slowly killed the way he worked one box, one desk, local models - and now he can run tests overnight without thinking about hourly GPU prices $18,700/year saved by a little NVIDIA box he can literally hold in his hands
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THIS GUY BOUGHT A $2,400 NVIDIA BOX AND SAVED $18,700/YEAR ON CLOUD GPUS WITHOUT RENTING SERVERS AGAIN the entire setup runs on one rule - stop paying every time you want to test something most people run 20 small AI experiments in the cloud and think it’s cheap because each one looks harmless - then the invoice comes in and suddenly their “side project” has the same monthly cost as a car payment he made the same mistake for months and it slowly killed the way he worked one box, one desk, local models - and now he can run tests overnight without thinking about hourly GPU prices $18,700/year saved by a little NVIDIA box he can literally hold in his hands

Gipp 🦅

12,484 просмотров • 24 дней назад

In 1896, seven-year-old Charlie Chaplin was sent to a London workhouse for pauper children. His father was gone. His mother would soon be committed to a mental asylum. By 14, he was alone, surviving on the streets of Kennington with nothing but a gift for making people laugh. He joined a touring comedy troupe at 19 and crossed the Atlantic with no money and no connections. In 1914, he walked onto a film set for the first time, earning $150 a week. Two years later, he was the most famous person on Earth, commanding $670,000 a year, the largest salary ever given to a film star. From a workhouse floor to the top of the world in under a decade.
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In 1896, seven-year-old Charlie Chaplin was sent to a London workhouse for pauper children. His father was gone. His mother would soon be committed to a mental asylum. By 14, he was alone, surviving on the streets of Kennington with nothing but a gift for making people laugh. He joined a touring comedy troupe at 19 and crossed the Atlantic with no money and no connections. In 1914, he walked onto a film set for the first time, earning $150 a week. Two years later, he was the most famous person on Earth, commanding $670,000 a year, the largest salary ever given to a film star. From a workhouse floor to the top of the world in under a decade.

Today In History

56,612 просмотров • 29 дней назад

Most people see a street. He sees $300-600 per block. A 24-year-old from Chengdu figured out that every hotel, every apartment, every commercial space within walking distance is an untapped asset. One nobody has packaged yet. He straps a rig to his back, walks in, spends twenty minutes scanning the space, and leaves with a file that lets anyone on earth stand inside that room from their couch. The client pastes a link on their booking page. Guests tour the property before they arrive. Cancellations drop. Reviews go up. He gets paid $400 for the scan. $99 every month for hosting. The technology: 3D Gaussian Splatting. Free on GitHub since 2023. The app: Luma AI. Also free. The page he delivers: built by Claude in ten minutes. Total tool cost: $20/month. Month one: $3,500. Month six: $18,000. The streets haven't changed. He just started charging for them.
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Most people see a street. He sees $300-600 per block. A 24-year-old from Chengdu figured out that every hotel, every apartment, every commercial space within walking distance is an untapped asset. One nobody has packaged yet. He straps a rig to his back, walks in, spends twenty minutes scanning the space, and leaves with a file that lets anyone on earth stand inside that room from their couch. The client pastes a link on their booking page. Guests tour the property before they arrive. Cancellations drop. Reviews go up. He gets paid $400 for the scan. $99 every month for hosting. The technology: 3D Gaussian Splatting. Free on GitHub since 2023. The app: Luma AI. Also free. The page he delivers: built by Claude in ten minutes. Total tool cost: $20/month. Month one: $3,500. Month six: $18,000. The streets haven't changed. He just started charging for them.

Superior

9,817,245 просмотров • 1 месяц назад

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.
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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🔮

153,466 просмотров • 1 месяц назад

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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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.

Marlow

23,171 просмотров • 1 месяц назад

13-year-old is making $20,000 a month - and spends 1-2 hours a day on content. Built a system that finds ideas, writes in his voice and publishes across 5 platforms automatically. Claude writes, the verifier checks, the system learns from what worked - every next post comes out sharper without him touching anything. 5,000,000 impressions in 2 weeks. 100,000 bookmarks in 2 months. A bookmark is not a like - it's a promise a reader makes to their future self. The algorithm keeps pushing those posts for weeks after they go live. $20,000 a month. 13 years old. 1-2 hours a day.
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13-year-old is making $20,000 a month - and spends 1-2 hours a day on content. Built a system that finds ideas, writes in his voice and publishes across 5 platforms automatically. Claude writes, the verifier checks, the system learns from what worked - every next post comes out sharper without him touching anything. 5,000,000 impressions in 2 weeks. 100,000 bookmarks in 2 months. A bookmark is not a like - it's a promise a reader makes to their future self. The algorithm keeps pushing those posts for weeks after they go live. $20,000 a month. 13 years old. 1-2 hours a day.

Noisy

108,694 просмотров • 1 месяц назад