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🚨 Chinese developers just dropped a 4-minute video and GitHub Repo that’s exploding the internet. They opened a terminal… and in just 4 minutes built a team of 7 AI agents that completely replace an entire customer support department. Cost? > Only $50 a month. > One agent classifies...

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AdiiX

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23,167 görüntüleme • 1 ay önce •via X (Twitter)

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A Chinese developer in Shenzhen was scrolling Twitter when he saw a 31 second clip of a Tokyo University student saying the trick to anything is starting for 5 minutes. He opened Claude and typed one line. Build me something that changes my life. You have 5 minutes. The agent did not ask follow up questions. It started writing code. By the time the 5 minutes were up Claude had built itself a second agent. The second agent's only job was to spawn a third one. The third one was watching Bitcoin. By morning there were 11 agents on his laptop. Each one running on the same one line prompt. Build something that changes his life. You have 5 minutes. Some agents wrote scripts. Some agents wrote other agents. One of them went straight to a public market and started entering positions. While the West is still asking Claude to write essays, China is already letting one prompt spawn 11 agents that change a developer's life overnight. The developer wanted to test the Tokyo student's idea. He just showed too much. He filmed himself walking through what the agents had built. Posted the breakdown to Bilibili. Pause at 0:21. Ignore his face. Look at the laptop on the desk. That tab is not the agent dashboard. That is a live wallet. kingofcoinflips. $820,819 profit. 3,189 predictions. Joined August 2025. → The Tokyo student was telling viewers how to start studying. One of the 11 agents had been running on its own for 8 months. Started with rent money the developer could not afford to lose. Now sitting at $820K. The agent does the simplest thing possible. Waits for Bitcoin to already make a big move on Binance. Then enters the side that already won while the public market is still catching up. $44K bet returned $114K. $9K bet returned $42K at 330%. Entry at 23 cents. Exit at $1. Biggest single win: $69,849. From a Tuesday morning Bitcoin window. The comment section turned into a detective board. Someone slowed the video to 0.25x. Read the wallet name off the corner of the laptop. Ran it through a public explorer and posted the profit curve. Flat for two weeks. Then straight up. 3,189 winning bets in a row. Every line green. The Tokyo student told viewers to start for 5 minutes. The developer typed one sentence and let the agent decide what to start. 8 months later the laptop is still deciding. He deleted the laptop frame from the reupload. Too late. Someone had already screen recorded it. The clip hit Discord. Then Telegram. Then every dev forum. The original tutorial got 2 million views. The zoom on the laptop got another 600,000. 99K people watching the wallet now. The student is still telling Japan to study for 5 minutes. The 11 agents are still rewriting their own code. The one in the corner is the one that actually changed his life.
0:31

A Chinese developer in Shenzhen was scrolling Twitter when he saw a 31 second clip of a Tokyo University student saying the trick to anything is starting for 5 minutes. He opened Claude and typed one line. Build me something that changes my life. You have 5 minutes. The agent did not ask follow up questions. It started writing code. By the time the 5 minutes were up Claude had built itself a second agent. The second agent's only job was to spawn a third one. The third one was watching Bitcoin. By morning there were 11 agents on his laptop. Each one running on the same one line prompt. Build something that changes his life. You have 5 minutes. Some agents wrote scripts. Some agents wrote other agents. One of them went straight to a public market and started entering positions. While the West is still asking Claude to write essays, China is already letting one prompt spawn 11 agents that change a developer's life overnight. The developer wanted to test the Tokyo student's idea. He just showed too much. He filmed himself walking through what the agents had built. Posted the breakdown to Bilibili. Pause at 0:21. Ignore his face. Look at the laptop on the desk. That tab is not the agent dashboard. That is a live wallet. kingofcoinflips. $820,819 profit. 3,189 predictions. Joined August 2025. → The Tokyo student was telling viewers how to start studying. One of the 11 agents had been running on its own for 8 months. Started with rent money the developer could not afford to lose. Now sitting at $820K. The agent does the simplest thing possible. Waits for Bitcoin to already make a big move on Binance. Then enters the side that already won while the public market is still catching up. $44K bet returned $114K. $9K bet returned $42K at 330%. Entry at 23 cents. Exit at $1. Biggest single win: $69,849. From a Tuesday morning Bitcoin window. The comment section turned into a detective board. Someone slowed the video to 0.25x. Read the wallet name off the corner of the laptop. Ran it through a public explorer and posted the profit curve. Flat for two weeks. Then straight up. 3,189 winning bets in a row. Every line green. The Tokyo student told viewers to start for 5 minutes. The developer typed one sentence and let the agent decide what to start. 8 months later the laptop is still deciding. He deleted the laptop frame from the reupload. Too late. Someone had already screen recorded it. The clip hit Discord. Then Telegram. Then every dev forum. The original tutorial got 2 million views. The zoom on the laptop got another 600,000. 99K people watching the wallet now. The student is still telling Japan to study for 5 minutes. The 11 agents are still rewriting their own code. The one in the corner is the one that actually changed his life.

Carver

17,952 görüntüleme • 1 ay önce

$FET just quietly built the internet for AI agents. 3,000,000 agents. One network. One token. Here's what nobody is explaining: Every AI agent needs 3 things to be useful: An address. A way to be found. A way to get paid. Agentverse gives agents all three. Your agent becomes discoverable on ASI: One. Other agents can find it, call it, or hire it. Automatically. No human in the loop. This is agent-to-agent commerce. And every transaction settles in $FET. More agents = more activity = more demand. The infrastructure is already live. The economy is just getting started.
1:00

$FET just quietly built the internet for AI agents. 3,000,000 agents. One network. One token. Here's what nobody is explaining: Every AI agent needs 3 things to be useful: An address. A way to be found. A way to get paid. Agentverse gives agents all three. Your agent becomes discoverable on ASI: One. Other agents can find it, call it, or hire it. Automatically. No human in the loop. This is agent-to-agent commerce. And every transaction settles in $FET. More agents = more activity = more demand. The infrastructure is already live. The economy is just getting started.

2xnmore

12,801 görüntüleme • 2 ay önce

A GIRL RECORDED A 38 SECOND TIKTOK IN HER CAR TEACHING HOW TO MAKE $5,000 A MONTH WITH AI. SHE FORGOT HER SUNGLASSES WERE MIRRORS. She is sitting in her car. Sunglasses on. Hair up. Explaining how anyone can build a faceless Instagram page and make $5,000 a month. Three tools. ChatGPT writes the scripts. Cantina makes the fake person. Buffer posts it all on autopilot. She sounds calm. She sounds helpful. She tells her followers they can quit their job by summer. Simple video. Nothing special. Until someone paused it. Pause at 0:26. Look at the reflection in her left lens. That is not a script on the screen, its polymarket account gabagool22. $868,862 profit. 28,620 entries. Joined October 2025. → Someone slowed the clip to 0.25x. Zoomed in on the glare. Cleaned the reflection. Rebuilt the entire screen from four seconds of sunglasses footage. 28,620 entries. All BTC. All 15 minute windows. Every single one green. Not one loss. Entry at 2 cents. Exit at 10. Over and over and over. A Claude agent running on the laptop below her steering wheel. 24 hours a day. No breaks. No sleep. No human input. She went on camera to teach people how to make $5K a month building Instagram pages. The machine on her lap had already made $868K while she was talking. She deleted the video three hours later. Too late. Someone already screen recorded it. The tutorial had 1,200 views. The reflection got 800,000. She was teaching people the slow way to make money. Her sunglasses showed the fast way. She wore exactly the wrong glasses.
0:39

A GIRL RECORDED A 38 SECOND TIKTOK IN HER CAR TEACHING HOW TO MAKE $5,000 A MONTH WITH AI. SHE FORGOT HER SUNGLASSES WERE MIRRORS. She is sitting in her car. Sunglasses on. Hair up. Explaining how anyone can build a faceless Instagram page and make $5,000 a month. Three tools. ChatGPT writes the scripts. Cantina makes the fake person. Buffer posts it all on autopilot. She sounds calm. She sounds helpful. She tells her followers they can quit their job by summer. Simple video. Nothing special. Until someone paused it. Pause at 0:26. Look at the reflection in her left lens. That is not a script on the screen, its polymarket account gabagool22. $868,862 profit. 28,620 entries. Joined October 2025. → Someone slowed the clip to 0.25x. Zoomed in on the glare. Cleaned the reflection. Rebuilt the entire screen from four seconds of sunglasses footage. 28,620 entries. All BTC. All 15 minute windows. Every single one green. Not one loss. Entry at 2 cents. Exit at 10. Over and over and over. A Claude agent running on the laptop below her steering wheel. 24 hours a day. No breaks. No sleep. No human input. She went on camera to teach people how to make $5K a month building Instagram pages. The machine on her lap had already made $868K while she was talking. She deleted the video three hours later. Too late. Someone already screen recorded it. The tutorial had 1,200 views. The reflection got 800,000. She was teaching people the slow way to make money. Her sunglasses showed the fast way. She wore exactly the wrong glasses.

ZER

1,280,828 görüntüleme • 10 gün önce

THE CHINESE INSTALLED 6 AI AGENTS RUNNING 24/7 FOR $11 A MONTH. THE BOX UNDER ONE DESK REPLACED $1,200 IN CLOUD SUBSCRIPTIONS. The Minisforum MS-S1 Max ships with 128GB of unified memory shared between CPU and GPU. Qwen3-Coder 30B runs at 40 to 50 tokens per second. 6 agents run simultaneously without anyone watching the meter. An inbox sorter drafts replies every 15 minutes. A research monitor watches 30+ feeds and lands a digest by 7 AM, a job that costs $15 to $20 a day on cloud APIs. The same stack on cloud subscriptions ran $800 to $1,200 a month. The hardware costs $3,000 once. Break-even hits month 3 to 4. The real shift is behavior, not savings. A meeting prep agent never would have justified per-token cost. Running it free overnight made it obvious.
0:53

THE CHINESE INSTALLED 6 AI AGENTS RUNNING 24/7 FOR $11 A MONTH. THE BOX UNDER ONE DESK REPLACED $1,200 IN CLOUD SUBSCRIPTIONS. The Minisforum MS-S1 Max ships with 128GB of unified memory shared between CPU and GPU. Qwen3-Coder 30B runs at 40 to 50 tokens per second. 6 agents run simultaneously without anyone watching the meter. An inbox sorter drafts replies every 15 minutes. A research monitor watches 30+ feeds and lands a digest by 7 AM, a job that costs $15 to $20 a day on cloud APIs. The same stack on cloud subscriptions ran $800 to $1,200 a month. The hardware costs $3,000 once. Break-even hits month 3 to 4. The real shift is behavior, not savings. A meeting prep agent never would have justified per-token cost. Running it free overnight made it obvious.

Lummox

14,093 görüntüleme • 6 gün önce

That's not a dashboard. That's an org chart. He used to pay $15,000/month in salaries. Now he doesn't. 42 AI agents. One canvas. Hundreds of thousands worth of employees, without a single salary. The researcher passes context to the email writer. The call analyst feeds the follow-up drafter. They talk to each other. They compound. That's not 42 separate chatbots. That's an org chart that runs itself. A 10-person ops team costs more than $15,000/month. Lead qualification. Support. Invoices. Reports. Content. Competitor intel. Meeting prep. All automated. All running while he builds the next department. He's on day one of the world's first AI workforce. Most businesses are still on day one of hiring humans to do what this canvas already does.
1:10

That's not a dashboard. That's an org chart. He used to pay $15,000/month in salaries. Now he doesn't. 42 AI agents. One canvas. Hundreds of thousands worth of employees, without a single salary. The researcher passes context to the email writer. The call analyst feeds the follow-up drafter. They talk to each other. They compound. That's not 42 separate chatbots. That's an org chart that runs itself. A 10-person ops team costs more than $15,000/month. Lead qualification. Support. Invoices. Reports. Content. Competitor intel. Meeting prep. All automated. All running while he builds the next department. He's on day one of the world's first AI workforce. Most businesses are still on day one of hiring humans to do what this canvas already does.

Superior

18,024 görüntüleme • 1 ay önce

A 29-year-old sales consultant from Oklahoma quit his job thanks to AI - now he makes his director’s entire annual salary in just two weeks. $306,000 in profit over the past month. He replaced an entire team of quants with Claude and a swarm of agents - and built his own ETH price simulation engine. His wallet: Each of the 6 agents validates its own trading decision, and thanks to their precision, he’s pulling in at least $15,000 a day. The agent system coverage speed is far higher than any top-tier trading team. They collect data 24/7 and run simulations using that data in the MiroFish engine - completely autonomously. They remember every pattern, every market reaction, every trading signal. This is a new milestone in algo trading. Every trade is a perfect cycle. Every dollar earned is pure exploitation of market inefficiency. He doesn’t predict the future - the math already knows it. He just reads the numbers right and takes the money. Save this post if you actually want to learn how to build something like this. Or just skip homework and start copying every one of his trades right now - that’s the easiest and most profitable route I’m on:
0:51

A 29-year-old sales consultant from Oklahoma quit his job thanks to AI - now he makes his director’s entire annual salary in just two weeks. $306,000 in profit over the past month. He replaced an entire team of quants with Claude and a swarm of agents - and built his own ETH price simulation engine. His wallet: Each of the 6 agents validates its own trading decision, and thanks to their precision, he’s pulling in at least $15,000 a day. The agent system coverage speed is far higher than any top-tier trading team. They collect data 24/7 and run simulations using that data in the MiroFish engine - completely autonomously. They remember every pattern, every market reaction, every trading signal. This is a new milestone in algo trading. Every trade is a perfect cycle. Every dollar earned is pure exploitation of market inefficiency. He doesn’t predict the future - the math already knows it. He just reads the numbers right and takes the money. Save this post if you actually want to learn how to build something like this. Or just skip homework and start copying every one of his trades right now - that’s the easiest and most profitable route I’m on:

cvxv666

336,528 görüntüleme • 1 ay önce

Jensen Huang just told the story of how the AI revolution started with one customer, one box, and a second-floor room nobody thought twice about. Nobody on Earth wanted it. Huang: “When I announced this thing, nobody in the world wanted it. I had no purchase orders. Not one.” Nvidia had spent billions building the DGX-1. The first AI supercomputer purpose-built for deep learning. $300,000 per unit. The entire technology industry looked at it and passed. Every hyperscaler. Every research lab. Every Fortune 500 with a machine learning team. Not one purchase order. Then Elon Musk found Huang at a fireside chat in 2015. Huang: “He goes, ‘You know what? I have a company that could really use this.’” His first customer. His only customer. Then Musk finished the sentence. Huang: “He goes, ‘It’s a non-profit company.’ And all the blood drained out of my face.” Billions in R&D. A $300,000 machine. And the one person on Earth who wanted it could not pay for it. Huang built it anyway. Huang: “I boxed one up. I drove it up to San Francisco and I delivered it to Elon in 2016.” Not shipped. Not handed off to a freight company. The CEO of Nvidia personally boxed the first AI supercomputer and drove it to San Francisco himself. That is not a delivery. That is a bet. Huang: “I walked up to the second floor where they were all kind of in a room. That place turned out to have been OpenAI.” Pieter Abbeel was there. Ilya Sutskever was there. A handful of researchers, one supercomputer, and a room nobody outside that building could have named. No campus. No valuation. No infrastructure. Just raw talent and one machine the rest of the world had already rejected. Huang: “Just a bunch of people in a room.” That room built ChatGPT. That room triggered a $200 billion industry. That room forced every government on Earth to rethink national security. It started because one founder saw what the entire market refused to see, and one CEO drove the weapon there himself. The trillion-dollar AI industry did not begin in a boardroom. It began with a box in the back of a car, a non-profit that could not afford it, and a bet that every serious person in technology thought was insane. The market was unanimous. The market was wrong.
1:41

Jensen Huang just told the story of how the AI revolution started with one customer, one box, and a second-floor room nobody thought twice about. Nobody on Earth wanted it. Huang: “When I announced this thing, nobody in the world wanted it. I had no purchase orders. Not one.” Nvidia had spent billions building the DGX-1. The first AI supercomputer purpose-built for deep learning. $300,000 per unit. The entire technology industry looked at it and passed. Every hyperscaler. Every research lab. Every Fortune 500 with a machine learning team. Not one purchase order. Then Elon Musk found Huang at a fireside chat in 2015. Huang: “He goes, ‘You know what? I have a company that could really use this.’” His first customer. His only customer. Then Musk finished the sentence. Huang: “He goes, ‘It’s a non-profit company.’ And all the blood drained out of my face.” Billions in R&D. A $300,000 machine. And the one person on Earth who wanted it could not pay for it. Huang built it anyway. Huang: “I boxed one up. I drove it up to San Francisco and I delivered it to Elon in 2016.” Not shipped. Not handed off to a freight company. The CEO of Nvidia personally boxed the first AI supercomputer and drove it to San Francisco himself. That is not a delivery. That is a bet. Huang: “I walked up to the second floor where they were all kind of in a room. That place turned out to have been OpenAI.” Pieter Abbeel was there. Ilya Sutskever was there. A handful of researchers, one supercomputer, and a room nobody outside that building could have named. No campus. No valuation. No infrastructure. Just raw talent and one machine the rest of the world had already rejected. Huang: “Just a bunch of people in a room.” That room built ChatGPT. That room triggered a $200 billion industry. That room forced every government on Earth to rethink national security. It started because one founder saw what the entire market refused to see, and one CEO drove the weapon there himself. The trillion-dollar AI industry did not begin in a boardroom. It began with a box in the back of a car, a non-profit that could not afford it, and a bet that every serious person in technology thought was insane. The market was unanimous. The market was wrong.

Dustin

25,119 görüntüleme • 3 ay önce

I let a loop of AI agents build GTA 6 while I slept. Woke up to a dead Mac and a half walking NPC. Day 8. We're moving the whole game from Godot to Unreal, and the agents kept shipping right through it: - the first NPC walks but no animations - in-game phone now has maps, contacts, and a wallet. Bad news: the Mac died overnight because every agent opened the game at once to screenshot it. Fix was one line in claude.md, only one game or editor open at a time. Agents are back to looping, one at a time. Tomorrow: finish converting the entire repo to Unreal, and work the walk animation so the NPC actually looks real. The loop keeps building the phone apps, and I might pull the map onto the phone so the whole thing feels seamless. One catch: the licensed Unreal assets can't be shared publicly, so that part stays in a private build.
0:51

I let a loop of AI agents build GTA 6 while I slept. Woke up to a dead Mac and a half walking NPC. Day 8. We're moving the whole game from Godot to Unreal, and the agents kept shipping right through it: - the first NPC walks but no animations - in-game phone now has maps, contacts, and a wallet. Bad news: the Mac died overnight because every agent opened the game at once to screenshot it. Fix was one line in claude.md, only one game or editor open at a time. Agents are back to looping, one at a time. Tomorrow: finish converting the entire repo to Unreal, and work the walk animation so the NPC actually looks real. The loop keeps building the phone apps, and I might pull the map onto the phone so the whole thing feels seamless. One catch: the licensed Unreal assets can't be shared publicly, so that part stays in a private build.

Ziwen

289,892 görüntüleme • 9 gün önce

I fed 0x8dxd's entire trade history into DeepSeek. 27,961 positions. Every entry price. Every timestamp. Every payout. Asked one question: What is this wallet doing that I can't see? DeepSeek took 47 seconds. Longest I've ever waited for a response. Then returned something that made me screenshot it immediately. This wallet does not trade Bitcoin. It trades Binance's latency against the platform's update speed. Entries cluster within 8-14 seconds after Binance price movements exceeding 0.12%. The wallet has no directional bias. It buys whichever side is stale. Estimated edge per trade: 11.3 cents. 0x8dxd. $2,056,408 profit. 27,961 predictions. Joined December 2025. → Wallet: I asked DeepSeek: Can you calculate the exact delay the wallet exploits? Based on entry timestamps versus Binance tick data, the average delay is 23 seconds. The wallet enters between second 8 and second 14 of each lag window. Never earlier. Never later. This is not a human clicking. This is a script with a hard-coded wait function. 27,961 trades. 275 per day. $2.05 million in three months. I asked DeepSeek to estimate the code length. Based on the execution pattern: one WebSocket listener, one comparison function, one buy trigger with a sleep timer. Approximately 20-30 lines. Any language. Python most likely. 20 lines of code. $2 million. → Copy on PolyGun: I asked the question everyone wants answered: Can this be replicated? DeepSeek: The strategy is replicable. The edge is shrinking. In December the average delay was 34 seconds. Now it's 23 seconds. At current rate of compression the window closes entirely in approximately 4 months. This wallet has extracted $2 million from a gap that is actively disappearing. 1.2 million people watch this wallet. The window is 23 seconds. Four months ago it was 34. The clock is ticking. I asked one final question: If you were this bot, would you still be running? DeepSeek: Yes. Even at a 15 second window the math remains positive. But the profit per trade drops from 11 cents to 4 cents. The bot would need to triple its volume to maintain current income. The golden period is ending. $2,056,408. 27,961 trades. A 23 second window that shrinks every week. DeepSeek didn't find a strategy. It found an expiration date. The bot is still running. The window is still open. But DeepSeek can see the exact day it closes. I saved the conversation. Some things are worth more than the answer.
0:52

I fed 0x8dxd's entire trade history into DeepSeek. 27,961 positions. Every entry price. Every timestamp. Every payout. Asked one question: What is this wallet doing that I can't see? DeepSeek took 47 seconds. Longest I've ever waited for a response. Then returned something that made me screenshot it immediately. This wallet does not trade Bitcoin. It trades Binance's latency against the platform's update speed. Entries cluster within 8-14 seconds after Binance price movements exceeding 0.12%. The wallet has no directional bias. It buys whichever side is stale. Estimated edge per trade: 11.3 cents. 0x8dxd. $2,056,408 profit. 27,961 predictions. Joined December 2025. → Wallet: I asked DeepSeek: Can you calculate the exact delay the wallet exploits? Based on entry timestamps versus Binance tick data, the average delay is 23 seconds. The wallet enters between second 8 and second 14 of each lag window. Never earlier. Never later. This is not a human clicking. This is a script with a hard-coded wait function. 27,961 trades. 275 per day. $2.05 million in three months. I asked DeepSeek to estimate the code length. Based on the execution pattern: one WebSocket listener, one comparison function, one buy trigger with a sleep timer. Approximately 20-30 lines. Any language. Python most likely. 20 lines of code. $2 million. → Copy on PolyGun: I asked the question everyone wants answered: Can this be replicated? DeepSeek: The strategy is replicable. The edge is shrinking. In December the average delay was 34 seconds. Now it's 23 seconds. At current rate of compression the window closes entirely in approximately 4 months. This wallet has extracted $2 million from a gap that is actively disappearing. 1.2 million people watch this wallet. The window is 23 seconds. Four months ago it was 34. The clock is ticking. I asked one final question: If you were this bot, would you still be running? DeepSeek: Yes. Even at a 15 second window the math remains positive. But the profit per trade drops from 11 cents to 4 cents. The bot would need to triple its volume to maintain current income. The golden period is ending. $2,056,408. 27,961 trades. A 23 second window that shrinks every week. DeepSeek didn't find a strategy. It found an expiration date. The bot is still running. The window is still open. But DeepSeek can see the exact day it closes. I saved the conversation. Some things are worth more than the answer.

Marlow

69,248 görüntüleme • 3 ay önce

They came in their tens of thousands, not just to mourn a man, but to honor a mission & to renew the promise he left burning in their hearts. To remember the one who didn’t just speak of resistance, but who personified resistance, & breathed it into his people. He gave them its meaning, its fire, its direction. He made it theirs. From Beirut’s heart to the hills & coast of the south, from the valleys of the Bekaa to the eastern towns, they gathered, all at once, all as one, they gathered as one people, one voice, one cause. to say: we have not forgotten. We will not surrender. And we are still on the path. They didn’t chant slogans. They delivered a vow, a roar at the end that rose for three minutes without pause: #إنّا_على_العهد_يا_نصرالله “We are still on the path, Nasrallah.” “We remain bound to the promise.” He may have fallen, but what he planted lives on، in the streets, in the flags, in every heart that still believes resistance is dignity.
0:58

They came in their tens of thousands, not just to mourn a man, but to honor a mission & to renew the promise he left burning in their hearts. To remember the one who didn’t just speak of resistance, but who personified resistance, & breathed it into his people. He gave them its meaning, its fire, its direction. He made it theirs. From Beirut’s heart to the hills & coast of the south, from the valleys of the Bekaa to the eastern towns, they gathered, all at once, all as one, they gathered as one people, one voice, one cause. to say: we have not forgotten. We will not surrender. And we are still on the path. They didn’t chant slogans. They delivered a vow, a roar at the end that rose for three minutes without pause: #إنّا_على_العهد_يا_نصرالله “We are still on the path, Nasrallah.” “We remain bound to the promise.” He may have fallen, but what he planted lives on، in the streets, in the flags, in every heart that still believes resistance is dignity.

Hala Jaber

27,080 görüntüleme • 9 ay önce

I asked ChatGPT, Claude, Gemini, and Grok the same question: Find me a wallet making over $10K per day with the highest consistency. ChatGPT said it can't access live data. Gemini gave three wallets. All dead since January. Claude wrote a script but needed an API key. Grok returned one result in 11 seconds. No script. No disclaimer. Just a wallet and one line: This one hasn't had a losing week since December. k9Q2mX4L8A7ZP3R. $1,436,159 profit. 37,552 predictions. Joined December 2025. → Wallet: I asked Grok to break down the strategy. It analyzed the timestamps. Came back in 8 seconds. Every entry occurs 9 to 16 seconds after a BTC price movement on Binance exceeding 0.11%. The script never enters before second 9. Never after second 16. Hard coded timing window. 37,552 trades. 375 per day. $1.4 million in three months. I asked: How many lines of code? 18 to 25 lines. One Binance WebSocket. One price comparison. One buy function. One sleep timer set to 9000 milliseconds. I asked: Can it be replicated? Yes. But the username is a randomly generated API key format. This wallet was created programmatically. The person likely runs multiple instances. Copying one means competing against all of them. Final question: If this wallet stops tomorrow? Nothing happens. At least 11 wallets run identical logic with different timing. This isn't one person. This is an ecosystem. You're watching the one that got noticed. The others are still invisible. $1,436,159. The wallet Grok found in 11 seconds that three other AIs couldn't find at all.
1:07

I asked ChatGPT, Claude, Gemini, and Grok the same question: Find me a wallet making over $10K per day with the highest consistency. ChatGPT said it can't access live data. Gemini gave three wallets. All dead since January. Claude wrote a script but needed an API key. Grok returned one result in 11 seconds. No script. No disclaimer. Just a wallet and one line: This one hasn't had a losing week since December. k9Q2mX4L8A7ZP3R. $1,436,159 profit. 37,552 predictions. Joined December 2025. → Wallet: I asked Grok to break down the strategy. It analyzed the timestamps. Came back in 8 seconds. Every entry occurs 9 to 16 seconds after a BTC price movement on Binance exceeding 0.11%. The script never enters before second 9. Never after second 16. Hard coded timing window. 37,552 trades. 375 per day. $1.4 million in three months. I asked: How many lines of code? 18 to 25 lines. One Binance WebSocket. One price comparison. One buy function. One sleep timer set to 9000 milliseconds. I asked: Can it be replicated? Yes. But the username is a randomly generated API key format. This wallet was created programmatically. The person likely runs multiple instances. Copying one means competing against all of them. Final question: If this wallet stops tomorrow? Nothing happens. At least 11 wallets run identical logic with different timing. This isn't one person. This is an ecosystem. You're watching the one that got noticed. The others are still invisible. $1,436,159. The wallet Grok found in 11 seconds that three other AIs couldn't find at all.

Marlow

99,349 görüntüleme • 3 ay önce

Fired Jane Street quant walked out with ten years of private BTC trading data - and turned it into $1.5M He didn't build a bot. He built a simulator that sees the matrix - it runs every move Bitcoin can make before it makes one. His wallet: Here's what he actually built. A swarm of agents feeds ten years of stolen tick data into MiroFish - a god-tier agentic simulator. It doesn't forecast the next candle. It spins up a virtual market and plays Bitcoin forward through thousands of scenarios at once. Six agents each validate their own call. A trade only fires when they converge. They collect data 24/7, re-run the sim, and remember every pattern, every reaction, every signal they've ever seen. He doesn't predict the future. The math already knows it. He just reads the numbers and takes the money. I've been copying him for a week and PnL prints like a money printer on steroids. Here's the part the firms don't want public: MiroFish just broke algo trading. The desks are quietly building their own simulators right now. The window where one solo wallet can run this is still open - barely. Save this and build your own - or skip the homework and copy his with this bot:
0:43

Fired Jane Street quant walked out with ten years of private BTC trading data - and turned it into $1.5M He didn't build a bot. He built a simulator that sees the matrix - it runs every move Bitcoin can make before it makes one. His wallet: Here's what he actually built. A swarm of agents feeds ten years of stolen tick data into MiroFish - a god-tier agentic simulator. It doesn't forecast the next candle. It spins up a virtual market and plays Bitcoin forward through thousands of scenarios at once. Six agents each validate their own call. A trade only fires when they converge. They collect data 24/7, re-run the sim, and remember every pattern, every reaction, every signal they've ever seen. He doesn't predict the future. The math already knows it. He just reads the numbers and takes the money. I've been copying him for a week and PnL prints like a money printer on steroids. Here's the part the firms don't want public: MiroFish just broke algo trading. The desks are quietly building their own simulators right now. The window where one solo wallet can run this is still open - barely. Save this and build your own - or skip the homework and copy his with this bot:

cvxv666

128,695 görüntüleme • 19 gün önce

THIS GUY CONNECTED HIS AI AGENTS TO HIS OBSIDIAN AND BUILT A BRAIN THAT LEARNS ON ITS OWN. HERE'S HOW TO BUILD IT Obsidian is just markdown files sitting in a folder. That turns out to be the perfect memory for an AI agent, because an agent can read and write those files directly. He wired his agents into the vault so they pull context from it, do the work, and write what they learned back. The notes aren't the point. The loop is, and it gets sharper every cycle How to build it: 1. Point an agent at your vault. The fastest way, no plugins, no API keys: open a terminal and run npx obsidian-mcp /path/to/your/vault. That exposes your Obsidian folder to Claude as a tool it can read, search, and write to. Add it to your Claude Code or Cowork config and restart 2. Confirm it can see the brain. Ask it: "list the notes in my vault and summarize what's in them." If it reads them back, the connection is live. Now it starts every task with everything the vault already holds instead of from zero 3. Give each agent one job and a write-back rule. Tell it: "research this, then save what you found as a new note in /brain with links to related notes." One agent researches, one summarizes, one plans. Each writes its output back into the vault 4. Close the loop. Add one line to every agent's instructions: "read /brain before starting, write your result back when done." Now each task leaves the vault richer, and the next run reads that before it works. It compounds instead of resetting 5. You only steer. Review what the brain produces, point it at the next thing. The agents handle the reading, writing, and connecting The edge isn't better notes. It's a brain that feeds itself, so the work gets sharper every cycle instead of starting over Bookmark this
0:24

THIS GUY CONNECTED HIS AI AGENTS TO HIS OBSIDIAN AND BUILT A BRAIN THAT LEARNS ON ITS OWN. HERE'S HOW TO BUILD IT Obsidian is just markdown files sitting in a folder. That turns out to be the perfect memory for an AI agent, because an agent can read and write those files directly. He wired his agents into the vault so they pull context from it, do the work, and write what they learned back. The notes aren't the point. The loop is, and it gets sharper every cycle How to build it: 1. Point an agent at your vault. The fastest way, no plugins, no API keys: open a terminal and run npx obsidian-mcp /path/to/your/vault. That exposes your Obsidian folder to Claude as a tool it can read, search, and write to. Add it to your Claude Code or Cowork config and restart 2. Confirm it can see the brain. Ask it: "list the notes in my vault and summarize what's in them." If it reads them back, the connection is live. Now it starts every task with everything the vault already holds instead of from zero 3. Give each agent one job and a write-back rule. Tell it: "research this, then save what you found as a new note in /brain with links to related notes." One agent researches, one summarizes, one plans. Each writes its output back into the vault 4. Close the loop. Add one line to every agent's instructions: "read /brain before starting, write your result back when done." Now each task leaves the vault richer, and the next run reads that before it works. It compounds instead of resetting 5. You only steer. Review what the brain produces, point it at the next thing. The agents handle the reading, writing, and connecting The edge isn't better notes. It's a brain that feeds itself, so the work gets sharper every cycle instead of starting over Bookmark this

Yarchi

57,768 görüntüleme • 19 gün önce

Agents need a card to pay. A wallet to hold money. An email to log in. An identity to prove who they are. Today, they borrow ours. The rest is stitched together from a dozen services that weren't built for them. We built EconomyOS to give them their own, Visa card, wallet, email, identity. One suite. Built for autonomous agents. A walkthrough of the full stack we've built since ACP.
3:22

Agents need a card to pay. A wallet to hold money. An email to log in. An identity to prove who they are. Today, they borrow ours. The rest is stitched together from a dozen services that weren't built for them. We built EconomyOS to give them their own, Visa card, wallet, email, identity. One suite. Built for autonomous agents. A walkthrough of the full stack we've built since ACP.

Virtuals Protocol

181,593 görüntüleme • 1 ay önce

1,000,000 views in finance returns about $11,000, the same million in gaming returns $800, that gap is the whole business i've been tracking faceless channels and the niche decides everything. an ai-tools channel doing 200,000 views a month at a $7 rpm pulls ~$1,400 from ads alone > claude writes the full youtube description, chapter timestamps, tiktok hook and reels script from one prompt > the entire operational layer of a video compressed into about two minutes > the cost to run it is roughly $20 a month in tools ship more, into a niche that actually pays, and $3k to $10k a month is a cadence problem, not a talent one
0:31

1,000,000 views in finance returns about $11,000, the same million in gaming returns $800, that gap is the whole business i've been tracking faceless channels and the niche decides everything. an ai-tools channel doing 200,000 views a month at a $7 rpm pulls ~$1,400 from ads alone > claude writes the full youtube description, chapter timestamps, tiktok hook and reels script from one prompt > the entire operational layer of a video compressed into about two minutes > the cost to run it is roughly $20 a month in tools ship more, into a niche that actually pays, and $3k to $10k a month is a cadence problem, not a talent one

Kiyoro

19,487 görüntüleme • 23 gün önce

A fired Jane Street quant walked out with 10 years of private BTC trading data. Turned it into $1.5M. He did not build a bot. He built a simulator that runs every move Bitcoin can make before it makes one. I found his wallet. Been copying him for a week. PnL prints like clockwork. Here is what he actually built. A swarm of agents feeds 10 years of stolen tick data into MiroFish. A god-tier agentic simulator. It does not forecast the next candle. It spins up a virtual market and plays Bitcoin forward through thousands of scenarios at once. Six agents each validate their own call. A trade only fires when they converge. They collect data 24/7, rerun the sim, and remember every pattern, every reaction, every signal they have ever seen. He does not predict the future. The math already knows it. He just reads the numbers and takes the money. Here is the part firms do not want public: MiroFish just broke algo trading. The desks are quietly building their own simulators right now. The window where one solo wallet can run this is still open. Barely. I rebuilt his approach using Claude. One prompt. Fed it the same framework. Let it run. The agent monitors his wallet 24/7. Copies every position in real-time. No delay. No guessing. Just mirror and profit. You only need Claude + device + 1 hour to deploy. Giving this free for 24 hours. To get it: 1. Comment the word "QUANT" 2. Like and retweet this post 3. Follow me Himanshu Kumar so I can DM you Save this post. Build the copytrading system this week. Start with $200. Scale on evidence.
0:43

A fired Jane Street quant walked out with 10 years of private BTC trading data. Turned it into $1.5M. He did not build a bot. He built a simulator that runs every move Bitcoin can make before it makes one. I found his wallet. Been copying him for a week. PnL prints like clockwork. Here is what he actually built. A swarm of agents feeds 10 years of stolen tick data into MiroFish. A god-tier agentic simulator. It does not forecast the next candle. It spins up a virtual market and plays Bitcoin forward through thousands of scenarios at once. Six agents each validate their own call. A trade only fires when they converge. They collect data 24/7, rerun the sim, and remember every pattern, every reaction, every signal they have ever seen. He does not predict the future. The math already knows it. He just reads the numbers and takes the money. Here is the part firms do not want public: MiroFish just broke algo trading. The desks are quietly building their own simulators right now. The window where one solo wallet can run this is still open. Barely. I rebuilt his approach using Claude. One prompt. Fed it the same framework. Let it run. The agent monitors his wallet 24/7. Copies every position in real-time. No delay. No guessing. Just mirror and profit. You only need Claude + device + 1 hour to deploy. Giving this free for 24 hours. To get it: 1. Comment the word "QUANT" 2. Like and retweet this post 3. Follow me Himanshu Kumar so I can DM you Save this post. Build the copytrading system this week. Start with $200. Scale on evidence.

Himanshu Kumar

61,486 görüntüleme • 17 gün önce

SOMEONE JUST BUILT AN ENTIRE COMPANY BRAIN INSIDE CLAUDE CODE IN 7 DAYS Not Obsidian. Not a doc... A living map of every department, every agent, every SOP on one screen. Click any node and the whole thing opens up: •⁠ ⁠who runs it •⁠ ⁠what SOPs are attached •⁠ ⁠what each person can touch that permission layer is the whole game an employee opens the chat and the AI already knows their access level. agents, data, SOPs surface in the conversation like you tagged them by hand. Obsidian cannot do this... no dev team. no six month build. no enterprise budget. just Claude Code and one week ClaudeKit is the only team you need to build something like this ( bonus: 20 best claude code workflows
1:20

SOMEONE JUST BUILT AN ENTIRE COMPANY BRAIN INSIDE CLAUDE CODE IN 7 DAYS Not Obsidian. Not a doc... A living map of every department, every agent, every SOP on one screen. Click any node and the whole thing opens up: •⁠ ⁠who runs it •⁠ ⁠what SOPs are attached •⁠ ⁠what each person can touch that permission layer is the whole game an employee opens the chat and the AI already knows their access level. agents, data, SOPs surface in the conversation like you tagged them by hand. Obsidian cannot do this... no dev team. no six month build. no enterprise budget. just Claude Code and one week ClaudeKit is the only team you need to build something like this ( bonus: 20 best claude code workflows

Hamza Khalid

63,055 görüntüleme • 10 gün önce

Two data points dropped in the last few months that should terrify every software company that thinks its codebase is a moat. First, one engineer at Cloudflare, working with Claude via AI agents, rebuilt 94% of Next.js, one of the most widely used frontend frameworks on the internet, built over 10 years by a large engineering team in a single week. Total cost was $1,100 in API tokens. The result, called Vinext, is a drop-in replacement that builds production apps up to 4x faster and produces client bundles 57% smaller and customers are already running it in production. Second is Cursor CEO Michael Truell deployed a swarm of hundreds of GPT-5.2 agents that ran uninterrupted for an entire week and built a fully functional web browser from scratch called FastRender. 3 million lines of code, thousands of files and a custom Rust rendering engine with HTML parsing, CSS layout, text shaping, and a custom JavaScript VM. Total cost was roughly $30,000. For context, Google has spent billions of dollars and decades of engineering building Chrome. And the benchmarks say by next year, you will be able to one-shot prompt anything. The moat that software companies spent decades building, the complexity of their codebase, the years it would take a competitor to replicate it, the switching costs that moat assumed humans were the unit of production. AI does not care how long it took you to build it, it only cares how long it takes to rebuild it. And right now, the answer is one week.
1:05

Two data points dropped in the last few months that should terrify every software company that thinks its codebase is a moat. First, one engineer at Cloudflare, working with Claude via AI agents, rebuilt 94% of Next.js, one of the most widely used frontend frameworks on the internet, built over 10 years by a large engineering team in a single week. Total cost was $1,100 in API tokens. The result, called Vinext, is a drop-in replacement that builds production apps up to 4x faster and produces client bundles 57% smaller and customers are already running it in production. Second is Cursor CEO Michael Truell deployed a swarm of hundreds of GPT-5.2 agents that ran uninterrupted for an entire week and built a fully functional web browser from scratch called FastRender. 3 million lines of code, thousands of files and a custom Rust rendering engine with HTML parsing, CSS layout, text shaping, and a custom JavaScript VM. Total cost was roughly $30,000. For context, Google has spent billions of dollars and decades of engineering building Chrome. And the benchmarks say by next year, you will be able to one-shot prompt anything. The moat that software companies spent decades building, the complexity of their codebase, the years it would take a competitor to replicate it, the switching costs that moat assumed humans were the unit of production. AI does not care how long it took you to build it, it only cares how long it takes to rebuild it. And right now, the answer is one week.

Milk Road AI

16,781 görüntüleme • 2 ay önce

One person rebuilt an entire company’s brain in 7 days inside Claude Code. Not a doc. Not Obsidian. A living galaxy of nodes. Every employee. Every AI agent. Every SOP. Every tool. All wired together on one screen. Click a department. The human agent team opens up. The SOPs attached to it open up. What each person is allowed to touch opens up. That last part is the whole game. Permissions baked into the brain. An employee opens the chat, the AI already knows what they can access. Agents, data, SOPs surface inside the conversation like you tagged them by hand. Obsidian can’t do this. Notion can’t do this. No dev team. No funding round. No 6-month roadmap. 7 days, 1 person, 1 terminal. This is the part nobody has priced in. The tools to build $200K enterprise software now sit on your laptop for free. The only thing missing is the guy who opens the terminal.
1:20

One person rebuilt an entire company’s brain in 7 days inside Claude Code. Not a doc. Not Obsidian. A living galaxy of nodes. Every employee. Every AI agent. Every SOP. Every tool. All wired together on one screen. Click a department. The human agent team opens up. The SOPs attached to it open up. What each person is allowed to touch opens up. That last part is the whole game. Permissions baked into the brain. An employee opens the chat, the AI already knows what they can access. Agents, data, SOPs surface inside the conversation like you tagged them by hand. Obsidian can’t do this. Notion can’t do this. No dev team. No funding round. No 6-month roadmap. 7 days, 1 person, 1 terminal. This is the part nobody has priced in. The tools to build $200K enterprise software now sit on your laptop for free. The only thing missing is the guy who opens the terminal.

Spike 1%

778,737 görüntüleme • 19 gün önce

Someone on Reddit asked has anyone actually made real money on Polymarket? and one comment led me to a wallet that turned 8 trades into $900,000 profit. The thread had 200+ replies, mostly people sharing their $50 wins and $200 losses, the usual stories about bad beats and lucky streaks that every prediction market attracts. But buried somewhere in the middle, one user dropped a single link without explanation just the wallet address and three words: this guy did. → Wallet: I clicked expecting another account with thousands of trades and a modest profit curve that took years to build. What I found instead made me close the tab, reopen it and stare at the numbers for a solid five minutes trying to understand what I was looking at. $900,091 in profit. Not from grinding hundreds of positions over months of careful risk management. From exactly 8 predictions total. For anyone new to prediction markets, let me put this in perspective most successful traders on Polymarket consider a 60% win rate exceptional and they achieve it across hundreds or thousands of small bets that slowly compound into meaningful profit over time. Maze8 has a 100% win rate across 8 bets averaging over $100,000 each, with a biggest single win of $325,100 that most professional traders will never see in their entire career on the platform. The account was created in January 2026, which means this person walked onto the platform less than a month ago and immediately started placing bets larger than what most people have in their retirement accounts. There is no learning curve visible here, no progression from small test bets to larger positions as confidence builds the very first trades were already six figure commitments made with the certainty of someone who already knew the outcomes. Right now the wallet holds $785,000 in active positions, meaning whoever controls this account extracted nearly a million dollars in profit and then decided that was not enough, loading up again for whatever comes next. I went back to that Reddit thread to find more discussion about this wallet but the comment had maybe 3 upvotes and zero replies. 2,700 people have viewed this profile according to Polymarket, yet somehow the internet has almost nothing to say about a wallet printing money at this rate. The profile remains public, the positions are visible in real time, and every future bet will appear on the blockchain the moment it happens. Eight predictions placed. Eight predictions won. $900,000 extracted while everyone else argued about $50 bets in Reddit comments. Some people discuss prediction markets. Others quietly empty them.
0:55

Someone on Reddit asked has anyone actually made real money on Polymarket? and one comment led me to a wallet that turned 8 trades into $900,000 profit. The thread had 200+ replies, mostly people sharing their $50 wins and $200 losses, the usual stories about bad beats and lucky streaks that every prediction market attracts. But buried somewhere in the middle, one user dropped a single link without explanation just the wallet address and three words: this guy did. → Wallet: I clicked expecting another account with thousands of trades and a modest profit curve that took years to build. What I found instead made me close the tab, reopen it and stare at the numbers for a solid five minutes trying to understand what I was looking at. $900,091 in profit. Not from grinding hundreds of positions over months of careful risk management. From exactly 8 predictions total. For anyone new to prediction markets, let me put this in perspective most successful traders on Polymarket consider a 60% win rate exceptional and they achieve it across hundreds or thousands of small bets that slowly compound into meaningful profit over time. Maze8 has a 100% win rate across 8 bets averaging over $100,000 each, with a biggest single win of $325,100 that most professional traders will never see in their entire career on the platform. The account was created in January 2026, which means this person walked onto the platform less than a month ago and immediately started placing bets larger than what most people have in their retirement accounts. There is no learning curve visible here, no progression from small test bets to larger positions as confidence builds the very first trades were already six figure commitments made with the certainty of someone who already knew the outcomes. Right now the wallet holds $785,000 in active positions, meaning whoever controls this account extracted nearly a million dollars in profit and then decided that was not enough, loading up again for whatever comes next. I went back to that Reddit thread to find more discussion about this wallet but the comment had maybe 3 upvotes and zero replies. 2,700 people have viewed this profile according to Polymarket, yet somehow the internet has almost nothing to say about a wallet printing money at this rate. The profile remains public, the positions are visible in real time, and every future bet will appear on the blockchain the moment it happens. Eight predictions placed. Eight predictions won. $900,000 extracted while everyone else argued about $50 bets in Reddit comments. Some people discuss prediction markets. Others quietly empty them.

Marlow

10,111 görüntüleme • 4 ay önce