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Lunar

@LunarResearcher • 35,666 subscribers

ai engineer | family @artspyre. | life @copybara_rh $COPY | 0xac79255f6f404eba14f316e8669d76573a2d7b1e

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COPY is live on Robinhood Chain $COPY CA: 0xac79255f6f404eba14f316e8669d76573a2d7b1e Five walls read a setup before you copy it: how strong the source is, how deep the pool is, whether the market actually turns over, whether the move is still inside the band, and whether there is a fresh mark to trade against. EDGE, DEPTH, TURN, MOMO, PRICE. A wallet you follow buying is not a reason. Most setups die on the first wall, and you get the exact wall that refused it, every time. Every decision is printed. The terminal runs from one process, keeps local state, and half of it needs no key at all. It never predicts a price. It tells you what you would actually be copying. Open source, MIT, runs on your machine. No browser wallet, nothing signs.

COPY is live on Robinhood Chain $COPY CA: 0xac79255f6f404eba14f316e8669d76573a2d7b1e Five walls read a setup before you copy it: how strong the source is, how deep the pool is, whether the market actually turns over, whether the move is still inside the band, and whether there is a fresh mark to trade against. EDGE, DEPTH, TURN, MOMO, PRICE. A wallet you follow buying is not a reason. Most setups die on the first wall, and you get the exact wall that refused it, every time. Every decision is printed. The terminal runs from one process, keeps local state, and half of it needs no key at all. It never predicts a price. It tells you what you would actually be copying. Open source, MIT, runs on your machine. No browser wallet, nothing signs.

109,513 Aufrufe

I told my Claude: "turn $1,000 into $10,000 on Polymarket or i delete you forever"... It built a 4-agent system in 51 minutes, never asked a single question. The edge was stupid simple. Chainlink updates Polymarket every 500ms, Binance moves every 10ms - that's a 490ms window where Polymarket is completely blind. Hour 4: Fed surprise rate hold, bot front-ran 3 mispriced BTC markets before Polymarket adjusted. $1,000 → $1,940 Hour 8: Elon posted a single word on X, bot detected the sentiment spike 340ms before the orderbook even moved. $1,940 → $3,820 Try copytrade him here: Hour 14: ETH/BTC ratio markets opened thin, bot bought both sides at 3¢ on 11 markets, 7 hit 50:1. $3,820 → $6,100 Hour 18: it found a pattern - every time BTC moved 1.2% in 4 minutes, the next YES market was underpriced by 8-12¢, ran it 31 times in a row. $6,100 → $8,340 Hour 24: $10,001 It kept its end of the deal, I kept mine. A deal is a deal.

I told my Claude: "turn $1,000 into $10,000 on Polymarket or i delete you forever"... It built a 4-agent system in 51 minutes, never asked a single question. The edge was stupid simple. Chainlink updates Polymarket every 500ms, Binance moves every 10ms - that's a 490ms window where Polymarket is completely blind. Hour 4: Fed surprise rate hold, bot front-ran 3 mispriced BTC markets before Polymarket adjusted. $1,000 → $1,940 Hour 8: Elon posted a single word on X, bot detected the sentiment spike 340ms before the orderbook even moved. $1,940 → $3,820 Try copytrade him here: Hour 14: ETH/BTC ratio markets opened thin, bot bought both sides at 3¢ on 11 markets, 7 hit 50:1. $3,820 → $6,100 Hour 18: it found a pattern - every time BTC moved 1.2% in 4 minutes, the next YES market was underpriced by 8-12¢, ran it 31 times in a row. $6,100 → $8,340 Hour 24: $10,001 It kept its end of the deal, I kept mine. A deal is a deal.

1,734,853 Aufrufe

An Anthropic engineer paid for my espresso at Sightglass when he saw my screen I was running my Polymarket bot from the counter. He was next in line. Looked over my shoulder. Stopped scrolling. "That's not a normal trading app. What's it actually running on" I told him. Claude Code. Four repos. $25 a month. He sat down without asking. "I'm on the agent team. We stress test Claude for exactly this. You're letting it find its own edges" Not just edges. Wallets. 86 million trades. Every wallet. Every entry. Every exit. "You're feeding Claude raw wallet data and letting it identify who consistently wins. Then cloning them" He said it slowly. Like he was writing the threat model in his head. One prompt. Find every wallet with 100 plus trades and win rate above 70%. Rank by profit. Export top 50. Claude scanned 14,000 wallets in 4 minutes. Returned 47. The top 20 made more than the bottom 13,000 combined. "That's not a stat. That's a hit list" Exactly. "And you didn't write the scoring function" Claude did. I just wired it into an if-statement. Then I showed him the second repo. Official Rust CLI. No API key for reads. 500 markets, Claude scores them in minutes. Gap. Depth. Resolution window. 487 markets become 35 before a dollar moves. 93% killed before I even see them. A green fill landed on the screen. +$84. Copytrade wallet: He watched it hit. "How does it decide to actually enter" Three agents. Shared wallet. No shared memory. Arbitrage, convergence, whale copy. 2 agree, full size. 1 alone, half. Disagree, no trade. Consensus filter alone killed 40% of losing trades. "And the exits?" The 47 whales never hold to settlement. 91% exit early. 73% of max profit captured. Redeploy immediately. My bot cuts at 85% of expected move or on a 3x volume spike. "You built a whale copy bot that exits before the whales" Yeah. He put his espresso down. "How often does it trade" 10 a day on average. Most of them skipped before I look up from my coffee. My setup: Claude API - $20/mo VPS in Germany - $5/mo poly_data - free polymarket-cli - free Polymarket/agents - free $200 seed. 27 days ago. $14,300 now. Copytrade here: 271 trades. 74% win rate. Sharpe 2.47. I haven't touched it in 27 days. He stared at the screen for a long time. "This is literally what our red team simulates. Except you actually shipped it" He emailed me the next morning. "Any chance you'd take a call with our policy lead" I told him the article is the call. Read it twice. Too late to gatekeep.

An Anthropic engineer paid for my espresso at Sightglass when he saw my screen I was running my Polymarket bot from the counter. He was next in line. Looked over my shoulder. Stopped scrolling. "That's not a normal trading app. What's it actually running on" I told him. Claude Code. Four repos. $25 a month. He sat down without asking. "I'm on the agent team. We stress test Claude for exactly this. You're letting it find its own edges" Not just edges. Wallets. 86 million trades. Every wallet. Every entry. Every exit. "You're feeding Claude raw wallet data and letting it identify who consistently wins. Then cloning them" He said it slowly. Like he was writing the threat model in his head. One prompt. Find every wallet with 100 plus trades and win rate above 70%. Rank by profit. Export top 50. Claude scanned 14,000 wallets in 4 minutes. Returned 47. The top 20 made more than the bottom 13,000 combined. "That's not a stat. That's a hit list" Exactly. "And you didn't write the scoring function" Claude did. I just wired it into an if-statement. Then I showed him the second repo. Official Rust CLI. No API key for reads. 500 markets, Claude scores them in minutes. Gap. Depth. Resolution window. 487 markets become 35 before a dollar moves. 93% killed before I even see them. A green fill landed on the screen. +$84. Copytrade wallet: He watched it hit. "How does it decide to actually enter" Three agents. Shared wallet. No shared memory. Arbitrage, convergence, whale copy. 2 agree, full size. 1 alone, half. Disagree, no trade. Consensus filter alone killed 40% of losing trades. "And the exits?" The 47 whales never hold to settlement. 91% exit early. 73% of max profit captured. Redeploy immediately. My bot cuts at 85% of expected move or on a 3x volume spike. "You built a whale copy bot that exits before the whales" Yeah. He put his espresso down. "How often does it trade" 10 a day on average. Most of them skipped before I look up from my coffee. My setup: Claude API - $20/mo VPS in Germany - $5/mo poly_data - free polymarket-cli - free Polymarket/agents - free $200 seed. 27 days ago. $14,300 now. Copytrade here: 271 trades. 74% win rate. Sharpe 2.47. I haven't touched it in 27 days. He stared at the screen for a long time. "This is literally what our red team simulates. Except you actually shipped it" He emailed me the next morning. "Any chance you'd take a call with our policy lead" I told him the article is the call. Read it twice. Too late to gatekeep.

991,193 Aufrufe

me realizing the 4 formulas that turned $0 into $8,000 on polymarket have been sitting on wikipedia this whole time and i was out here trading on vibes

me realizing the 4 formulas that turned $0 into $8,000 on polymarket have been sitting on wikipedia this whole time and i was out here trading on vibes

592,531 Aufrufe

Met my girlfriend's parents for the first time. Her dad asked what I do for work. I said I build trading systems. He said: "Like Wall Street?" I said no. It's open-source. Anyone can see how it works. He laughed. "So you're gambling with open-source code?" I didn't argue. I opened my laptop. One wallet I was tracking made $2.4M in March alone. Another traded $36M in volume. One more turned $35K into $442K. His face changed. "That's not gambling. That's... math?" Exactly. Then I showed him the repos. All public. All free. First one: Every trade ever made. 86M+ trades. Free to download. Snapshot saves 2+ days of research. Second one: Market making bot. Both sides of the book. Gas optimized. Google Sheets execution layer. Third one: ML + heuristics. Flagged that $35K → $442K wallet before anyone noticed. Her dad went quiet. Then he asked: "Can my son run this?" Her mom asked for the channel link. Profile: Most people think you need a finance degree or a hedge fund. You don't. You just need to read the code and start.

Met my girlfriend's parents for the first time. Her dad asked what I do for work. I said I build trading systems. He said: "Like Wall Street?" I said no. It's open-source. Anyone can see how it works. He laughed. "So you're gambling with open-source code?" I didn't argue. I opened my laptop. One wallet I was tracking made $2.4M in March alone. Another traded $36M in volume. One more turned $35K into $442K. His face changed. "That's not gambling. That's... math?" Exactly. Then I showed him the repos. All public. All free. First one: Every trade ever made. 86M+ trades. Free to download. Snapshot saves 2+ days of research. Second one: Market making bot. Both sides of the book. Gas optimized. Google Sheets execution layer. Third one: ML + heuristics. Flagged that $35K → $442K wallet before anyone noticed. Her dad went quiet. Then he asked: "Can my son run this?" Her mom asked for the channel link. Profile: Most people think you need a finance degree or a hedge fund. You don't. You just need to read the code and start.

177,660 Aufrufe

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

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

224,077 Aufrufe

My dad called me at 7 AM on a Sunday. "I need you to look at something. Don't tell your mother." I thought he was sick. He sent me a screenshot. A Claude terminal. Live Polymarket odds. Green P&L. +$14,200. He's 56. Retired electrician. Calls WiFi "the internet box." "Dad what the fuck is this?" "I found an article about connecting Claude to Polymarket. Told Claude to install it." One prompt. Four commands. 45 tools running on his old Dell laptop. Live orderbooks. Volume spikes. Closing deadlines. All inside Claude. He doesn't know what MCP means. Doesn't care. Try copytrade bot here: Every morning at 5 AM. Before mom wakes up. Reading glasses and black coffee. He asks Claude: "What's closing today with mispriced odds?" Claude cross-references markets in one call. Spots where the price disagrees with the news. He doesn't out-execute bots. He out-waits them. Quarter Kelly. $500 from his fishing fund. Last 60 days: → 680 trades → 90.2% win rate → +$14,200 Best trade: Claude's alert pinged him during Sunday football. Volume spike on a geopolitics market. Entry $0.09. Resolved $1.00. +$2,800. Mom thought he was checking the score. He wasn't checking the score. Last week he booked her a cruise. Said he'd been "saving since January." He hasn't saved anything since January. "When are you telling her?" "When I hit $25K. I'm buying the lake house." "Dad you don't even know what an API is." "I don't need to. The machine knows." He still calls Claude "the machine." The machine prints money.

My dad called me at 7 AM on a Sunday. "I need you to look at something. Don't tell your mother." I thought he was sick. He sent me a screenshot. A Claude terminal. Live Polymarket odds. Green P&L. +$14,200. He's 56. Retired electrician. Calls WiFi "the internet box." "Dad what the fuck is this?" "I found an article about connecting Claude to Polymarket. Told Claude to install it." One prompt. Four commands. 45 tools running on his old Dell laptop. Live orderbooks. Volume spikes. Closing deadlines. All inside Claude. He doesn't know what MCP means. Doesn't care. Try copytrade bot here: Every morning at 5 AM. Before mom wakes up. Reading glasses and black coffee. He asks Claude: "What's closing today with mispriced odds?" Claude cross-references markets in one call. Spots where the price disagrees with the news. He doesn't out-execute bots. He out-waits them. Quarter Kelly. $500 from his fishing fund. Last 60 days: → 680 trades → 90.2% win rate → +$14,200 Best trade: Claude's alert pinged him during Sunday football. Volume spike on a geopolitics market. Entry $0.09. Resolved $1.00. +$2,800. Mom thought he was checking the score. He wasn't checking the score. Last week he booked her a cruise. Said he'd been "saving since January." He hasn't saved anything since January. "When are you telling her?" "When I hit $25K. I'm buying the lake house." "Dad you don't even know what an API is." "I don't need to. The machine knows." He still calls Claude "the machine." The machine prints money.

234,754 Aufrufe

My girlfriend came home Friday at 1am. I was on the couch. Laptop open. Three terminal panels scrolling. "You're still up?" "Just checking the bot." She dropped her bag. "What bot?" "The trading one. Open-source. Anyone can audit the code." She stared at me. "So you code for free?" "No. The code makes money." "Sure it does." I didn't argue. I opened my laptop. One wallet I was tracking turned $640 into $11,800 in 31 days. Another flipped 287 trades with 76% winrate. One more pulled $3.4M in volume in two weeks. She sat down next to me. Slowly. "That's... from a script?" Exactly. Then I showed her the repos. All free. All public. First: 86M+ trades on Polymarket. Every outcome since day one. Free to download. Second: Market making bot. Both sides of the book. Gas optimized. Google Sheets execution. Third: ML + heuristics. I fed 14,000 wallets into Claude. One prompt. 4 minutes. Found 47 traders with 70%+ winrate. Bot mirrors them with 60-second delay. She went quiet for a long time. Then: "Why are you only telling me this now?" "We've been dating eleven months." "Exactly. Eleven months." I didn't have a good answer. She closed my laptop lid. Looked at me. "You're going to show me everything. Tomorrow morning. From the top. I'm not asking." Trade with him: Girlfriends don't ask about the money. They ask why you waited eleven months. Then they take over the conversation.

My girlfriend came home Friday at 1am. I was on the couch. Laptop open. Three terminal panels scrolling. "You're still up?" "Just checking the bot." She dropped her bag. "What bot?" "The trading one. Open-source. Anyone can audit the code." She stared at me. "So you code for free?" "No. The code makes money." "Sure it does." I didn't argue. I opened my laptop. One wallet I was tracking turned $640 into $11,800 in 31 days. Another flipped 287 trades with 76% winrate. One more pulled $3.4M in volume in two weeks. She sat down next to me. Slowly. "That's... from a script?" Exactly. Then I showed her the repos. All free. All public. First: 86M+ trades on Polymarket. Every outcome since day one. Free to download. Second: Market making bot. Both sides of the book. Gas optimized. Google Sheets execution. Third: ML + heuristics. I fed 14,000 wallets into Claude. One prompt. 4 minutes. Found 47 traders with 70%+ winrate. Bot mirrors them with 60-second delay. She went quiet for a long time. Then: "Why are you only telling me this now?" "We've been dating eleven months." "Exactly. Eleven months." I didn't have a good answer. She closed my laptop lid. Looked at me. "You're going to show me everything. Tomorrow morning. From the top. I'm not asking." Trade with him: Girlfriends don't ask about the money. They ask why you waited eleven months. Then they take over the conversation.

104,316 Aufrufe

My friend said: "you'll never make real money on Polymarket" A month later I sent him this profile. $38,700 profit in one month. He asked me to explain how. I didn't reply. But I'll tell you: NOAA is not the weather app on your phone. It's a federal supercomputer with 40 years of satellite data, running atmospheric models 24/7. Forecast accuracy at 24-48 hours - above 94%. Meanwhile people on Polymarket open AccuWeather and guess. The gap between them is the profit. I'm use for copytrade bots: NYC, Saturday: NOAA says 93% chance of hitting 74°F. Polymarket is selling that bucket at 9¢. Clawdbot spots that gap in seconds. Buys at 9¢ → science is right → market corrects to 54¢ → sells. 6x return, on weather, without a single prediction. I gave the bot $100 and went to sleep. By morning it had already made 31 trades while I was resting. Dallas heatwave, Chicago cold snap, Miami humidity bucket - every 2 minutes it scans 6 cities looking for where the market disagrees with science. Only buys below 15¢. Only sells above 45¢. Never more than $2 per position - risk always under control. This isn't trading. It's arbitrage between people with a phone and a NASA supercomputer. 3,100+ trades 79% win rate +$38,700 in one month starting with $100 My friend still thinks you can't make real money on Polymarket. Clawdbot has already made money off his ignorance.

My friend said: "you'll never make real money on Polymarket" A month later I sent him this profile. $38,700 profit in one month. He asked me to explain how. I didn't reply. But I'll tell you: NOAA is not the weather app on your phone. It's a federal supercomputer with 40 years of satellite data, running atmospheric models 24/7. Forecast accuracy at 24-48 hours - above 94%. Meanwhile people on Polymarket open AccuWeather and guess. The gap between them is the profit. I'm use for copytrade bots: NYC, Saturday: NOAA says 93% chance of hitting 74°F. Polymarket is selling that bucket at 9¢. Clawdbot spots that gap in seconds. Buys at 9¢ → science is right → market corrects to 54¢ → sells. 6x return, on weather, without a single prediction. I gave the bot $100 and went to sleep. By morning it had already made 31 trades while I was resting. Dallas heatwave, Chicago cold snap, Miami humidity bucket - every 2 minutes it scans 6 cities looking for where the market disagrees with science. Only buys below 15¢. Only sells above 45¢. Never more than $2 per position - risk always under control. This isn't trading. It's arbitrage between people with a phone and a NASA supercomputer. 3,100+ trades 79% win rate +$38,700 in one month starting with $100 My friend still thinks you can't make real money on Polymarket. Clawdbot has already made money off his ignorance.

190,971 Aufrufe

An OpenAI engineer stopped me at a hackathon in Hayes Valley I had my terminal open on a table. Three panels. Live trades scrolling. He was walking past and froze. "That's not a demo. That's a live scoring engine. What model is that" I told him. Claude Opus 4.7. Four repos. $25 a month. He pulled up a chair without asking. "We benchmarked Opus 4.7 internally. It beat o3 on structured reasoning across every eval we ran. And you're telling me you're using it to trade" I told him it does more than trade. It reads 86 million trades and finds who wins and why. No fine-tuning. No prompting chains. Just raw context. He leaned back. "Show me the data source" I opened one link. 86 million trades. Every wallet. Every entry. Every exit. "You point Opus 4.7 at this and it reverse-engineers the strategy. It finds the wallets that win. Then it finds why they win. Then it copies the pattern" His team spent 14 months building something similar. 10 engineers. Custom infra. Still in staging. "The part that killed us was exit timing. Every model we trained nailed entries. But the best traders exit before the crowd. We never figured out the threshold" I told him my bot cuts at 85% of expected move. Or on a 3x volume spike. Whichever comes first. He stopped talking. "How did you find that" Opus 4.7 found it in poly_data. Top wallets exit before resolution 86% of the time. Losers hold to 58%. Exits are the entire game. I opened another tab. "Three commands. 500 markets. Opus scores them in 20 minutes" "That's our internal eval pipeline. Except it took us a year and you did it in a weekend with our competitor's model" My setup: Claude Opus 4.7 - $20/mo VPS - $5/mo poly_data - free polymarket-cli - free 214 trades. 74% win rate. +$9,400 in 19 days. Copytrade here: I showed him the article where I broke down every repo and every command. He read it twice. Then looked up. "You just published what we've been trying to ship for six months. Using the other team's model" He texted me the next day. "My manager found your thread. Delete it" Too late.

An OpenAI engineer stopped me at a hackathon in Hayes Valley I had my terminal open on a table. Three panels. Live trades scrolling. He was walking past and froze. "That's not a demo. That's a live scoring engine. What model is that" I told him. Claude Opus 4.7. Four repos. $25 a month. He pulled up a chair without asking. "We benchmarked Opus 4.7 internally. It beat o3 on structured reasoning across every eval we ran. And you're telling me you're using it to trade" I told him it does more than trade. It reads 86 million trades and finds who wins and why. No fine-tuning. No prompting chains. Just raw context. He leaned back. "Show me the data source" I opened one link. 86 million trades. Every wallet. Every entry. Every exit. "You point Opus 4.7 at this and it reverse-engineers the strategy. It finds the wallets that win. Then it finds why they win. Then it copies the pattern" His team spent 14 months building something similar. 10 engineers. Custom infra. Still in staging. "The part that killed us was exit timing. Every model we trained nailed entries. But the best traders exit before the crowd. We never figured out the threshold" I told him my bot cuts at 85% of expected move. Or on a 3x volume spike. Whichever comes first. He stopped talking. "How did you find that" Opus 4.7 found it in poly_data. Top wallets exit before resolution 86% of the time. Losers hold to 58%. Exits are the entire game. I opened another tab. "Three commands. 500 markets. Opus scores them in 20 minutes" "That's our internal eval pipeline. Except it took us a year and you did it in a weekend with our competitor's model" My setup: Claude Opus 4.7 - $20/mo VPS - $5/mo poly_data - free polymarket-cli - free 214 trades. 74% win rate. +$9,400 in 19 days. Copytrade here: I showed him the article where I broke down every repo and every command. He read it twice. Then looked up. "You just published what we've been trying to ship for six months. Using the other team's model" He texted me the next day. "My manager found your thread. Delete it" Too late.

136,634 Aufrufe

I told ClawdBot: "build me a 6-agent system for Polymarket that works while I sleep"... 6 hours while i was asleep. Not a single question. Here's what it built: Monitoring agent - runs 24/7, watches Polymarket for mispriced markets. Spots an anomaly - writes to MEMORY md and pings me on Telegram instantly. Research agent - parses news, X, macro data via browser tool on a cron schedule. Every morning I have a full digest on all open positions before I even check my phone. Trading agent - reads the research agent's memory through Gateway, sees the market hasn't reacted yet, acts. Exec tool in gateway mode with a whitelist - no full access on a live server. Watchdog - HEARTBEAT md every 5 minutes: monitoring running, no errors, positions up to date. Something breaks - immediate Telegram message. All of this - one Gateway. One config.json. Isolation via dmScope: per-agent. The token trick: stopped dumping everything into AGENTS md. Critical rules - bootstrap. Try copytrade my bot here: Everything about markets, patterns, past trades - MEMORY md, semantic search pulls it when needed. Token spend dropped 3x, from $0.40/request to $0.13. First week running: - 47 mispriced markets caught before Polymarket adjusted - avg entry edge: 8-12¢ per position - watchdog fired 3 times, caught a broken RPC before it cost me anything The whole system is plain .md text files. Open an editor, change one line - agent behaves differently. No deploy. No build. A bot responds. An agent earns.

I told ClawdBot: "build me a 6-agent system for Polymarket that works while I sleep"... 6 hours while i was asleep. Not a single question. Here's what it built: Monitoring agent - runs 24/7, watches Polymarket for mispriced markets. Spots an anomaly - writes to MEMORY md and pings me on Telegram instantly. Research agent - parses news, X, macro data via browser tool on a cron schedule. Every morning I have a full digest on all open positions before I even check my phone. Trading agent - reads the research agent's memory through Gateway, sees the market hasn't reacted yet, acts. Exec tool in gateway mode with a whitelist - no full access on a live server. Watchdog - HEARTBEAT md every 5 minutes: monitoring running, no errors, positions up to date. Something breaks - immediate Telegram message. All of this - one Gateway. One config.json. Isolation via dmScope: per-agent. The token trick: stopped dumping everything into AGENTS md. Critical rules - bootstrap. Try copytrade my bot here: Everything about markets, patterns, past trades - MEMORY md, semantic search pulls it when needed. Token spend dropped 3x, from $0.40/request to $0.13. First week running: - 47 mispriced markets caught before Polymarket adjusted - avg entry edge: 8-12¢ per position - watchdog fired 3 times, caught a broken RPC before it cost me anything The whole system is plain .md text files. Open an editor, change one line - agent behaves differently. No deploy. No build. A bot responds. An agent earns.

165,099 Aufrufe

I asked Clawdbot to find a strategy that works even when Bitcoin does nothing. It found sports arbitrage on Polymarket. $57,582 profit in 1 month. Every match has two sides. One always pays $1. Sometimes both sides together cost 94¢. Bot buys both → Collects $1 → Pockets the gap. Finland + Switzerland: bought for 94¢ → +$240 Alabama + Arkansas: bought for 97¢ → +$149 I'm copytrade here: No prediction. No opinion. Just math. 7,877 trades 21 trades per day +$619,000 in 12 months Clawdbot built the full bot in 40 minutes. It's been running on autopilot ever since. The gap still exists. Here's the wallet:

I asked Clawdbot to find a strategy that works even when Bitcoin does nothing. It found sports arbitrage on Polymarket. $57,582 profit in 1 month. Every match has two sides. One always pays $1. Sometimes both sides together cost 94¢. Bot buys both → Collects $1 → Pockets the gap. Finland + Switzerland: bought for 94¢ → +$240 Alabama + Arkansas: bought for 97¢ → +$149 I'm copytrade here: No prediction. No opinion. Just math. 7,877 trades 21 trades per day +$619,000 in 12 months Clawdbot built the full bot in 40 minutes. It's been running on autopilot ever since. The gap still exists. Here's the wallet:

155,456 Aufrufe

My 16-year-old brother asked me to "check something" on his PC. I thought it was a virus. It was a terminal tracking 14,000 wallets on Polymarket. He's in 10th grade. Can't buy beer. Built it with Claude during winter break while our parents thought he was grinding Valorant. 187 messages. No coding experience. Just stubbornness and a prompt window. The bot scans every whale wallet. Scores by win rate, ROI, timing. When 3+ top wallets converge - auto-copies. Last 60 days: → 824 trades → 91.2% win rate → +$8,400 Best trade: 5 whales entered the same market in 2 minutes. Entry $0.37. Resolved $1.00. +$1,900. During a math test. His phone buzzed in his pocket. Try to copy bot: He got a B- on the test. The bot made more than our dad makes in a week. "Does mom know?" "Are you insane?" "Then how are you cashing out?" "Through cousin's wallet." I stared at him. The kid who still asks mom to make him sandwiches. "You gonna tell them?" He looked at me dead serious. "Only if you want me to stop paying for your Netflix." He's been paying for my Netflix since April. I had no idea.

My 16-year-old brother asked me to "check something" on his PC. I thought it was a virus. It was a terminal tracking 14,000 wallets on Polymarket. He's in 10th grade. Can't buy beer. Built it with Claude during winter break while our parents thought he was grinding Valorant. 187 messages. No coding experience. Just stubbornness and a prompt window. The bot scans every whale wallet. Scores by win rate, ROI, timing. When 3+ top wallets converge - auto-copies. Last 60 days: → 824 trades → 91.2% win rate → +$8,400 Best trade: 5 whales entered the same market in 2 minutes. Entry $0.37. Resolved $1.00. +$1,900. During a math test. His phone buzzed in his pocket. Try to copy bot: He got a B- on the test. The bot made more than our dad makes in a week. "Does mom know?" "Are you insane?" "Then how are you cashing out?" "Through cousin's wallet." I stared at him. The kid who still asks mom to make him sandwiches. "You gonna tell them?" He looked at me dead serious. "Only if you want me to stop paying for your Netflix." He's been paying for my Netflix since April. I had no idea.

125,136 Aufrufe

My girlfriend left her laptop open while she was in the shower. I wasn't snooping. The screen was just... glowing. A terminal. Wallet addresses scrolling. Green P&L. +$9,800. She's a kindergarten teacher. Makes $38K a year. Cries at Disney movies. "Babe what the fuck is this?" She came out in a towel. Looked at the screen. Looked at me. "I was gonna tell you." She overheard me on a call about Polymarket two months ago. Didn't ask me about it. Asked Claude instead. One prompt: "Pull Polymarket wallet data and rank by actual edge - not win rate. Real edge." 14,000 wallets came back. 87% lose money. But the top 13% had asymmetric payouts - entry at 20-30 cents, exit at 90+. Try copytrade bot here: They only needed to be right 1 in 4 times to profit. They were right half the time. 112 messages with Claude. After I fell asleep. Every night. The bot filters each whale to their strongest category. Copies only the edge. Kelly-sized. Last 45 days: → 682 trades → 90.1% win rate → +$9,800 Best trade: near-zero entry at $0.08. Resolved $1.00. +$1,400. During nap time. 14 kids sleeping on mats. Last week she paid off both our credit cards. I thought it was her parents. It wasn't her parents. "How long were you gonna hide this?" "Until I hit $25K. Then I was gonna take you to World Trip." I'm a software engineer. Zero trading bots. She beat me to it.

My girlfriend left her laptop open while she was in the shower. I wasn't snooping. The screen was just... glowing. A terminal. Wallet addresses scrolling. Green P&L. +$9,800. She's a kindergarten teacher. Makes $38K a year. Cries at Disney movies. "Babe what the fuck is this?" She came out in a towel. Looked at the screen. Looked at me. "I was gonna tell you." She overheard me on a call about Polymarket two months ago. Didn't ask me about it. Asked Claude instead. One prompt: "Pull Polymarket wallet data and rank by actual edge - not win rate. Real edge." 14,000 wallets came back. 87% lose money. But the top 13% had asymmetric payouts - entry at 20-30 cents, exit at 90+. Try copytrade bot here: They only needed to be right 1 in 4 times to profit. They were right half the time. 112 messages with Claude. After I fell asleep. Every night. The bot filters each whale to their strongest category. Copies only the edge. Kelly-sized. Last 45 days: → 682 trades → 90.1% win rate → +$9,800 Best trade: near-zero entry at $0.08. Resolved $1.00. +$1,400. During nap time. 14 kids sleeping on mats. Last week she paid off both our credit cards. I thought it was her parents. It wasn't her parents. "How long were you gonna hide this?" "Until I hit $25K. Then I was gonna take you to World Trip." I'm a software engineer. Zero trading bots. She beat me to it.

103,261 Aufrufe

My Tinder date showed up 10 minutes late. She ordered an oat latte. Looked around. Looked at me. "So. What do you do?" "Building trading systems." "Like crypto?" "No. Open-source. Anyone can audit the code." She raised an eyebrow. "So you code for free?" "No. The code makes money." "Sure it does." I didn't argue. I opened my laptop. One wallet I was tracking turned $1,300 into $19,700 in 24 days. Another flipped 232 trades with 82% winrate. One more pulled $5.8M in volume in five weeks. She stopped stirring her coffee. "That's... from a script?" Exactly. Then I showed her the repos. All free. All public. First: 86M+ trades on Polymarket. Every outcome since day one. Free to download. Second: Market making bot. Both sides of the book. Gas optimized. Google Sheets execution. Third: ML + heuristics. I fed 14,000 wallets into Claude. One prompt. 4 minutes. Found 47 traders with 70%+ winrate. Bot mirrors them with 60-second delay. She went quiet for a long time. Then: "I do product marketing at a startup. $82K. I cried in the parking lot last Tuesday." I didn't say anything. She finished her coffee. Looked at me. "How long have you been doing this?" "Eight months." "And you're on Tinder?" I didn't have a good answer. She opened her phone. Unmatched me on Hinge. Then handed it back: "No. Send me the GitHub links instead." Copytrade him: Tinder dates don't ask about the money. They ask why you're on the app. Then they keep the links and leave you unmatched.

My Tinder date showed up 10 minutes late. She ordered an oat latte. Looked around. Looked at me. "So. What do you do?" "Building trading systems." "Like crypto?" "No. Open-source. Anyone can audit the code." She raised an eyebrow. "So you code for free?" "No. The code makes money." "Sure it does." I didn't argue. I opened my laptop. One wallet I was tracking turned $1,300 into $19,700 in 24 days. Another flipped 232 trades with 82% winrate. One more pulled $5.8M in volume in five weeks. She stopped stirring her coffee. "That's... from a script?" Exactly. Then I showed her the repos. All free. All public. First: 86M+ trades on Polymarket. Every outcome since day one. Free to download. Second: Market making bot. Both sides of the book. Gas optimized. Google Sheets execution. Third: ML + heuristics. I fed 14,000 wallets into Claude. One prompt. 4 minutes. Found 47 traders with 70%+ winrate. Bot mirrors them with 60-second delay. She went quiet for a long time. Then: "I do product marketing at a startup. $82K. I cried in the parking lot last Tuesday." I didn't say anything. She finished her coffee. Looked at me. "How long have you been doing this?" "Eight months." "And you're on Tinder?" I didn't have a good answer. She opened her phone. Unmatched me on Hinge. Then handed it back: "No. Send me the GitHub links instead." Copytrade him: Tinder dates don't ask about the money. They ask why you're on the app. Then they keep the links and leave you unmatched.

48,925 Aufrufe

My girlfriend's parents came over for dinner Saturday. First time at my place. Her dad walked in. Looked around. Saw the laptop, the second monitor, the three terminal panels. "So this is where you work." "Yeah." "What, just the laptop?" "Just the laptop. And the repos." He raised an eyebrow. "Repos?" "Open-source. Anyone can audit the code." He laughed. "So you code for free?" "No sir. The code makes money." "Sure it does." I didn't argue. I opened my laptop. One wallet I was tracking turned $640 into $11,800 in 31 days. Another flipped 287 trades with 76% winrate. One more pulled $3.4M in volume in two weeks. He put his beer down. "That's... from a script?" Exactly. Then I showed him the repos. All free. All public. First: 86M+ trades on Polymarket. Every outcome since day one. Free to download. Second: Market making bot. Both sides of the book. Gas optimized. Google Sheets execution. Third: ML + heuristics. I fed 14,000 wallets into Claude. One prompt. 4 minutes. Found 47 traders with 70%+ winrate. Bot mirrors them with 60-second delay. He went quiet for a long time. Then: "How long have you been doing this?" "Eight months." "And you didn't tell us?" I didn't have a good answer. Her mom asked for the links before the pasta was done. Copytrade him: Fathers-in-law don't ask about the money. They ask why you didn't tell them. Then the mom does the rest.

My girlfriend's parents came over for dinner Saturday. First time at my place. Her dad walked in. Looked around. Saw the laptop, the second monitor, the three terminal panels. "So this is where you work." "Yeah." "What, just the laptop?" "Just the laptop. And the repos." He raised an eyebrow. "Repos?" "Open-source. Anyone can audit the code." He laughed. "So you code for free?" "No sir. The code makes money." "Sure it does." I didn't argue. I opened my laptop. One wallet I was tracking turned $640 into $11,800 in 31 days. Another flipped 287 trades with 76% winrate. One more pulled $3.4M in volume in two weeks. He put his beer down. "That's... from a script?" Exactly. Then I showed him the repos. All free. All public. First: 86M+ trades on Polymarket. Every outcome since day one. Free to download. Second: Market making bot. Both sides of the book. Gas optimized. Google Sheets execution. Third: ML + heuristics. I fed 14,000 wallets into Claude. One prompt. 4 minutes. Found 47 traders with 70%+ winrate. Bot mirrors them with 60-second delay. He went quiet for a long time. Then: "How long have you been doing this?" "Eight months." "And you didn't tell us?" I didn't have a good answer. Her mom asked for the links before the pasta was done. Copytrade him: Fathers-in-law don't ask about the money. They ask why you didn't tell them. Then the mom does the rest.

45,349 Aufrufe

My dad told me I was wasting my life using Claude to analyze Polymarket wallets instead of "learning real trading" 2 weeks later he asked me why one weather market suddenly made someone $11,000 overnight. I didn’t know how to explain to him that half the market is now bots reacting to each other. So I started digging through GitHub trying to understand how deep this rabbit hole actually goes. The first repo that caught my attention was: A few hours later I found people building autonomous agents for Polymarket: That’s when the entire platform started looking different to me. One wallet made $87k trading weather markets. Another was making hundreds of trades a day while barely holding positions longer than 90 minutes. The highest-performing wallets didn’t even look human anymore. No emotional entries. No hesitation. No scrolling Twitter waiting for opinions. Just instant reactions to forecast changes, liquidity shifts and crowd behavior. Then I found this: And suddenly it clicked. Most people on Polymarket still think they’re trading events. They’re not. They’re trading how millions of emotional humans react to events in real time. Huge difference. One wallet I tracked kept entering positions BEFORE major sentiment swings happened. At first I thought it was luck. Then I realized the bot was monitoring forecast disagreements, Twitter activity and liquidity changes simultaneously. Humans physically cannot process information that fast anymore. Here wallet: The scary part is that almost all of this infrastructure is public. Most people just never open GitHub long enough to notice what's happening.

My dad told me I was wasting my life using Claude to analyze Polymarket wallets instead of "learning real trading" 2 weeks later he asked me why one weather market suddenly made someone $11,000 overnight. I didn’t know how to explain to him that half the market is now bots reacting to each other. So I started digging through GitHub trying to understand how deep this rabbit hole actually goes. The first repo that caught my attention was: A few hours later I found people building autonomous agents for Polymarket: That’s when the entire platform started looking different to me. One wallet made $87k trading weather markets. Another was making hundreds of trades a day while barely holding positions longer than 90 minutes. The highest-performing wallets didn’t even look human anymore. No emotional entries. No hesitation. No scrolling Twitter waiting for opinions. Just instant reactions to forecast changes, liquidity shifts and crowd behavior. Then I found this: And suddenly it clicked. Most people on Polymarket still think they’re trading events. They’re not. They’re trading how millions of emotional humans react to events in real time. Huge difference. One wallet I tracked kept entering positions BEFORE major sentiment swings happened. At first I thought it was luck. Then I realized the bot was monitoring forecast disagreements, Twitter activity and liquidity changes simultaneously. Humans physically cannot process information that fast anymore. Here wallet: The scary part is that almost all of this infrastructure is public. Most people just never open GitHub long enough to notice what's happening.

54,853 Aufrufe

My roommate hasn't paid rent in 3 months. Landlord gave him until Friday. I came home Tuesday. He's sitting in my chair. Two monitors. Claude open. "What are you doing?" Building a bot. "You don't know how to code." He pressed Cmd+K. Clean chat. 0.3 seconds. Started prompting. I watched him. Arrow Up to fix bad prompts instead of sending follow-ups. Cmd+. to kill wrong responses mid-sentence. Shift+Tab to auto-accept so Claude just builds without asking. "Where did you learn this?" An article. 12 Claude shortcuts. He found it at 3 AM. By Wednesday his bot was scanning Polymarket wallets. Bot profile: By Thursday it was copying 7 wallets filtered by category. +$14.20 captured +$8.90 captured +$22.40 captured Friday morning. Landlord knocks. He opened the door and paid 3 months in cash. $4,200. From a bot he built in 72 hours. The landlord looked at him and said "you got a job?" "Something like that." Copy his bot here: He still sits in my chair. I don't ask him to move anymore. The bot doesn't care whose chair it is.

My roommate hasn't paid rent in 3 months. Landlord gave him until Friday. I came home Tuesday. He's sitting in my chair. Two monitors. Claude open. "What are you doing?" Building a bot. "You don't know how to code." He pressed Cmd+K. Clean chat. 0.3 seconds. Started prompting. I watched him. Arrow Up to fix bad prompts instead of sending follow-ups. Cmd+. to kill wrong responses mid-sentence. Shift+Tab to auto-accept so Claude just builds without asking. "Where did you learn this?" An article. 12 Claude shortcuts. He found it at 3 AM. By Wednesday his bot was scanning Polymarket wallets. Bot profile: By Thursday it was copying 7 wallets filtered by category. +$14.20 captured +$8.90 captured +$22.40 captured Friday morning. Landlord knocks. He opened the door and paid 3 months in cash. $4,200. From a bot he built in 72 hours. The landlord looked at him and said "you got a job?" "Something like that." Copy his bot here: He still sits in my chair. I don't ask him to move anymore. The bot doesn't care whose chair it is.

68,954 Aufrufe

My girlfriend asked why I had 14 Polymarket tabs open tracking rainfall at 3 AM instead of sleeping. An hour later one wallet made $7,200 because NOAA changed a forecast before Twitter noticed. That was the entire trade. I started digging through GitHub trying to understand how these wallets react so absurdly fast. The first repo that caught my attention was: A few hours later I found people building autonomous agents for Polymarket: That’s when the whole platform started looking different to me. One wallet made $64k trading weather markets. Another was making hundreds of trades a day while barely holding positions longer than an hour. The highest-performing wallets didn’t even look human anymore. No hesitation. No emotional entries. No scrolling Twitter waiting for opinions. Just instant reactions to forecast updates, liquidity shifts and crowd behavior. Then I found this: And suddenly it clicked. Most people on Polymarket still think they’re trading events. They’re not. They’re trading how long it takes emotional humans to react to events. Huge difference. One wallet I tracked kept entering positions before major sentiment swings happened. At first I thought it was luck. Then I realized the bot was monitoring NOAA revisions, Twitter activity and liquidity changes simultaneously. Humans physically cannot process information that fast anymore. Copytrade wallet: The scary part is that almost all of this infrastructure is public. Most people just never open GitHub long enough to notice what's happening.

My girlfriend asked why I had 14 Polymarket tabs open tracking rainfall at 3 AM instead of sleeping. An hour later one wallet made $7,200 because NOAA changed a forecast before Twitter noticed. That was the entire trade. I started digging through GitHub trying to understand how these wallets react so absurdly fast. The first repo that caught my attention was: A few hours later I found people building autonomous agents for Polymarket: That’s when the whole platform started looking different to me. One wallet made $64k trading weather markets. Another was making hundreds of trades a day while barely holding positions longer than an hour. The highest-performing wallets didn’t even look human anymore. No hesitation. No emotional entries. No scrolling Twitter waiting for opinions. Just instant reactions to forecast updates, liquidity shifts and crowd behavior. Then I found this: And suddenly it clicked. Most people on Polymarket still think they’re trading events. They’re not. They’re trading how long it takes emotional humans to react to events. Huge difference. One wallet I tracked kept entering positions before major sentiment swings happened. At first I thought it was luck. Then I realized the bot was monitoring NOAA revisions, Twitter activity and liquidity changes simultaneously. Humans physically cannot process information that fast anymore. Copytrade wallet: The scary part is that almost all of this infrastructure is public. Most people just never open GitHub long enough to notice what's happening.

52,892 Aufrufe

Tinder date said "you'll never make money on Polymarket" One week later I sent her this profile. $42,400 profit in one week. She asked to go on a second date, I blocked her. I asked Clawdbot to find markets where people guess and science doesn't. It found temperature buckets on Polymarket. NOAA says 96% chance NYC hits 74°F Saturday. Polymarket has that bucket at 11¢. Bot buys at 11¢ → market corrects to 58¢ → 5.2x return. Dallas heatwave: +$3,800 Chicago cold snap: +$1,200 Miami humidity at 7¢: +$2,400 I'm copytrading here: Clawdbot scans 6 cities every 2 minutes. Buys under 15¢. Sells above 45¢. 2,419 trades 81% win rate +$42,400 without manual trading Here's the wallet: The bot doesn't care about second dates. It's already scanning the next forecast.

Tinder date said "you'll never make money on Polymarket" One week later I sent her this profile. $42,400 profit in one week. She asked to go on a second date, I blocked her. I asked Clawdbot to find markets where people guess and science doesn't. It found temperature buckets on Polymarket. NOAA says 96% chance NYC hits 74°F Saturday. Polymarket has that bucket at 11¢. Bot buys at 11¢ → market corrects to 58¢ → 5.2x return. Dallas heatwave: +$3,800 Chicago cold snap: +$1,200 Miami humidity at 7¢: +$2,400 I'm copytrading here: Clawdbot scans 6 cities every 2 minutes. Buys under 15¢. Sells above 45¢. 2,419 trades 81% win rate +$42,400 without manual trading Here's the wallet: The bot doesn't care about second dates. It's already scanning the next forecast.

79,397 Aufrufe

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COPY is live on Robinhood Chain $COPY CA: 0xac79255f6f404eba14f316e8669d76573a2d7b1e Five walls read a setup before you copy it: how strong the source is, how deep the pool is, whether the market actually turns over, whether the move is still inside the band, and whether there is a fresh mark to trade against. EDGE, DEPTH, TURN, MOMO, PRICE. A wallet you follow buying is not a reason. Most setups die on the first wall, and you get the exact wall that refused it, every time. Every decision is printed. The terminal runs from one process, keeps local state, and half of it needs no key at all. It never predicts a price. It tells you what you would actually be copying. Open source, MIT, runs on your machine. No browser wallet, nothing signs.
0:20
LunarResearcher's profile picture

COPY is live on Robinhood Chain $COPY CA: 0xac79255f6f404eba14f316e8669d76573a2d7b1e Five walls read a setup before you copy it: how strong the source is, how deep the pool is, whether the market actually turns over, whether the move is still inside the band, and whether there is a fresh mark to trade against. EDGE, DEPTH, TURN, MOMO, PRICE. A wallet you follow buying is not a reason. Most setups die on the first wall, and you get the exact wall that refused it, every time. Every decision is printed. The terminal runs from one process, keeps local state, and half of it needs no key at all. It never predicts a price. It tells you what you would actually be copying. Open source, MIT, runs on your machine. No browser wallet, nothing signs.

Lunar

109,513 Aufrufe • vor 4 Tagen

I BUILT A ROBINHOOD CHAIN TERMINAL THAT REFUSES TRADES FOR ME BEFORE I DO SOMETHING STUPID. meet COPYBARA. one command and it starts watching the market: * fresh launches enter automatically * profitable wallets rotate underneath * every token gets checked through EDGE / DEPTH / TURN / MOMO / PRICE * bad setup = SKIP + exact reason * good setup = FIRE * hit space and it opens a paper copy * positions keep marking live * TP / SL / trailing / max-hold exits are handled automatically * wallet PnL, token moves and new scans keep updating on the same screen a token can look insane and COPYBARA will still refuse it if depth is trash or the move is already cooked. the whole loop is: NEW → SCAN → FIRE / SKIP → COPY → PNL → EXIT no dashboard hopping. no refreshing 8 tabs. just leave the terminal open and watch Robinhood Chain flow through it. COPYBARA.
0:26
LunarResearcher's profile picture

I BUILT A ROBINHOOD CHAIN TERMINAL THAT REFUSES TRADES FOR ME BEFORE I DO SOMETHING STUPID. meet COPYBARA. one command and it starts watching the market: * fresh launches enter automatically * profitable wallets rotate underneath * every token gets checked through EDGE / DEPTH / TURN / MOMO / PRICE * bad setup = SKIP + exact reason * good setup = FIRE * hit space and it opens a paper copy * positions keep marking live * TP / SL / trailing / max-hold exits are handled automatically * wallet PnL, token moves and new scans keep updating on the same screen a token can look insane and COPYBARA will still refuse it if depth is trash or the move is already cooked. the whole loop is: NEW → SCAN → FIRE / SKIP → COPY → PNL → EXIT no dashboard hopping. no refreshing 8 tabs. just leave the terminal open and watch Robinhood Chain flow through it. COPYBARA.

Lunar

83,942 Aufrufe • vor 5 Tagen

My girlfriend asked why I was smiling at 4 AM. Showed her the terminal. "What are all those green numbers?" $1,129. Made while she slept. "Doing what?" Nothing. Claude scanned 14,000 wallets, found 47 that never lose, built a bot that copies them. She watched for 10 seconds: +$3.87 captured +$6.42 captured +$12.71 captured "It just keeps going?" Every few seconds. New line. New money. "How much did you start with?" $300. Now $1,429. Eleven hours. Asleep. "What does it do?" Buys at $0.48. Sells at $0.52. Pockets $0.04. Who wins doesn't matter. "That's legal?" Citadel does this on NYSE daily. 400 engineers. I have one screen. Copy my bot here: She looked at the P&L curve. Never dips. Just climbs. "Can you make me one?" Setting hers up now. She still doesn't get how it works. The bot doesn't care.
0:21
LunarResearcher's profile picture

My girlfriend asked why I was smiling at 4 AM. Showed her the terminal. "What are all those green numbers?" $1,129. Made while she slept. "Doing what?" Nothing. Claude scanned 14,000 wallets, found 47 that never lose, built a bot that copies them. She watched for 10 seconds: +$3.87 captured +$6.42 captured +$12.71 captured "It just keeps going?" Every few seconds. New line. New money. "How much did you start with?" $300. Now $1,429. Eleven hours. Asleep. "What does it do?" Buys at $0.48. Sells at $0.52. Pockets $0.04. Who wins doesn't matter. "That's legal?" Citadel does this on NYSE daily. 400 engineers. I have one screen. Copy my bot here: She looked at the P&L curve. Never dips. Just climbs. "Can you make me one?" Setting hers up now. She still doesn't get how it works. The bot doesn't care.

Lunar

3,388,154 Aufrufe • vor 5 Monaten

Google just released a free 2-hour course on full Graph Engineering. How to go from one prompt to 100 agents running inside one graph: 17:44 - Build your first AI agent 39:30 - Run agents with loop engineering 1:12:38 - Turn agent loops into graphs 1:34:26 - Build agents that throttle themselves 1:55:05 - Orchestrate the full multi-agent system Most people build one agent and stop there. Google is teaching the full stack: Prompt → Agents → Loops → Graphs → Multi-Agent Systems Single agents are the old workflow. Self-regulating agent graphs are the new one. This 2-hour watch is worth more than most paid agent engineering courses. Bookmark and watch it today Then read the full architecture below ↓
2:05:53
LunarResearcher's profile picture

Google just released a free 2-hour course on full Graph Engineering. How to go from one prompt to 100 agents running inside one graph: 17:44 - Build your first AI agent 39:30 - Run agents with loop engineering 1:12:38 - Turn agent loops into graphs 1:34:26 - Build agents that throttle themselves 1:55:05 - Orchestrate the full multi-agent system Most people build one agent and stop there. Google is teaching the full stack: Prompt → Agents → Loops → Graphs → Multi-Agent Systems Single agents are the old workflow. Self-regulating agent graphs are the new one. This 2-hour watch is worth more than most paid agent engineering courses. Bookmark and watch it today Then read the full architecture below ↓

Lunar

402,095 Aufrufe • vor 1 Monat

An ex-Anthropic engineer told me something at a party he probably shouldn't have. It was in SF. Someone's rooftop. I mentioned I run trading agents on Claude. He went quiet. "You're doing it wrong. Everyone is" I asked what he meant. "Claude is a runtime. Not a chatbox. You're supposed to pair it with repos" He pulled out his phone. Opened one GitHub link. 14,000 stars. Every workflow pattern they built internally before it went public. Agents. Tool use. Evals. Citations. The entire architecture. "Everyone types prompts. That's not how we use it. You connect Claude to a codebase. It reads. It understands. It builds on top of what's already there" I went home at 2am. Connected Claude Code to poly_data - 86 million Polymarket trades. Every wallet. Every entry. Claude didn't guess. It read the data and built detectors. First week: +$1,400. Second week: +$3,800. Right now: +$9,100. 4 agents. 74% win rate. His team runs this with a floor of PhDs and $800M AUM. My setup: Claude + a VPS. $25/month. The repos are free. Copytrade here: I asked him what separates his firm from everyone else. "Honestly? Keyboard shortcuts and repo structure. That's it. The model is the same for everyone" He texted me two days later. "Delete everything I told you" Too late.
0:21
LunarResearcher's profile picture

An ex-Anthropic engineer told me something at a party he probably shouldn't have. It was in SF. Someone's rooftop. I mentioned I run trading agents on Claude. He went quiet. "You're doing it wrong. Everyone is" I asked what he meant. "Claude is a runtime. Not a chatbox. You're supposed to pair it with repos" He pulled out his phone. Opened one GitHub link. 14,000 stars. Every workflow pattern they built internally before it went public. Agents. Tool use. Evals. Citations. The entire architecture. "Everyone types prompts. That's not how we use it. You connect Claude to a codebase. It reads. It understands. It builds on top of what's already there" I went home at 2am. Connected Claude Code to poly_data - 86 million Polymarket trades. Every wallet. Every entry. Claude didn't guess. It read the data and built detectors. First week: +$1,400. Second week: +$3,800. Right now: +$9,100. 4 agents. 74% win rate. His team runs this with a floor of PhDs and $800M AUM. My setup: Claude + a VPS. $25/month. The repos are free. Copytrade here: I asked him what separates his firm from everyone else. "Honestly? Keyboard shortcuts and repo structure. That's it. The model is the same for everyone" He texted me two days later. "Delete everything I told you" Too late.

Lunar

1,656,335 Aufrufe • vor 5 Monaten

Ex-Google engineer just released a free 3-hour course on building and monetizing AI agents. How to go from one agent to a full system that finds leads and makes money: 00:00 - Design an AI agent system 07:38 - Add human handoffs 19:27 - Understand RAG and vector databases 52:38 - Deploy agents to Google Cloud 1:25:57 - Turn agents into a paid WhatsApp business 1:33:00 - Convert conversations into leads 2:24:01 - Learn loops vs graphs 2:33:08 - Build a multi-tool agent graph Most people are still building AI demos. This course shows the full stack: Agents → RAG → Deployment → Leads → Revenue Building agents is the old workflow. Monetizing agent systems is the new one. This 3-hour watch covers more than most $500 paid courses. Save it before everyone starts selling the same thing.
2:43:44
LunarResearcher's profile picture

Ex-Google engineer just released a free 3-hour course on building and monetizing AI agents. How to go from one agent to a full system that finds leads and makes money: 00:00 - Design an AI agent system 07:38 - Add human handoffs 19:27 - Understand RAG and vector databases 52:38 - Deploy agents to Google Cloud 1:25:57 - Turn agents into a paid WhatsApp business 1:33:00 - Convert conversations into leads 2:24:01 - Learn loops vs graphs 2:33:08 - Build a multi-tool agent graph Most people are still building AI demos. This course shows the full stack: Agents → RAG → Deployment → Leads → Revenue Building agents is the old workflow. Monetizing agent systems is the new one. This 3-hour watch covers more than most $500 paid courses. Save it before everyone starts selling the same thing.

Lunar

350,919 Aufrufe • vor 1 Monat

Andrej Karpathy just explained the 5 shifts turning LLMs into agentic systems. 00:00 - Memory turns chat into personal AI 06:41 - Multimodal AI reads the world 16:58 - Thinking models solve harder tasks 24:51 - Search makes LLMs live 30:58 - Tools turn LLMs into workers Most people are still treating LLMs like chatbots. Karpathy is showing the full stack: Memory → Vision → Reasoning → Search → Tools Prompting is the old workflow. Agentic systems are the new one. This 40-minute talk is worth more than most paid AI agent courses. Bookmark and watch it before everyone catches up. Then read how to turn LLMs into self-improving agent loops below
42:43
LunarResearcher's profile picture

Andrej Karpathy just explained the 5 shifts turning LLMs into agentic systems. 00:00 - Memory turns chat into personal AI 06:41 - Multimodal AI reads the world 16:58 - Thinking models solve harder tasks 24:51 - Search makes LLMs live 30:58 - Tools turn LLMs into workers Most people are still treating LLMs like chatbots. Karpathy is showing the full stack: Memory → Vision → Reasoning → Search → Tools Prompting is the old workflow. Agentic systems are the new one. This 40-minute talk is worth more than most paid AI agent courses. Bookmark and watch it before everyone catches up. Then read how to turn LLMs into self-improving agent loops below

Lunar

355,154 Aufrufe • vor 1 Monat

Andrej Karpathy spent 8 years working at OpenAI and Tesla Last week, he condensed everything he knows into one free 2-hour lecture People spend $15K on bootcamps that teach less than half of this You probably don't have two hours to watch it right now Just don't let it disappear in your feed Save it, watch it later, then read the guide below and build your first loop
2:05:00
LunarResearcher's profile picture

Andrej Karpathy spent 8 years working at OpenAI and Tesla Last week, he condensed everything he knows into one free 2-hour lecture People spend $15K on bootcamps that teach less than half of this You probably don't have two hours to watch it right now Just don't let it disappear in your feed Save it, watch it later, then read the guide below and build your first loop

Lunar

122,437 Aufrufe • vor 18 Tagen

Anthropic engineer: "At Anthropic, all of our engineers are running hundreds of agents The way you do it is graph engineering" In just 36 minutes, he shows how Anthropic runs hundreds of agents at once and what actually makes it possible Prompts → Agents → Loops → Graphs The part most people skip is the return path, where every accepted result becomes a constraint for the next run Same model, same tokens, completely different system Prompting is the old workflow Graph engineering is the next one Watch it today Then save the full graph engineering guide below before everyone starts catching up ↓
35:57
LunarResearcher's profile picture

Anthropic engineer: "At Anthropic, all of our engineers are running hundreds of agents The way you do it is graph engineering" In just 36 minutes, he shows how Anthropic runs hundreds of agents at once and what actually makes it possible Prompts → Agents → Loops → Graphs The part most people skip is the return path, where every accepted result becomes a constraint for the next run Same model, same tokens, completely different system Prompting is the old workflow Graph engineering is the next one Watch it today Then save the full graph engineering guide below before everyone starts catching up ↓

Lunar

31,945 Aufrufe • vor 5 Tagen

Andrew Ng just released a 2-hour course on full Graph Engineering. How to go from one prompt to 100 agents that loop, rewrite themselves, and run without you: 09:14 - Build your first AI agent 33:11 - Run agents with loop engineering 1:02:46 - Turn agent loops into graphs 1:30:15 - Build agents that rewrite themselves 1:49:05 - Run the full graph system without you Most people are still building one agent and calling it done. Andrew Ng is already teaching everything after: Prompt → Agents → Loops → Graphs → Self-Improving Systems Single agents are the old workflow. Systems that improve and run without you are the new one. This 2-hour watch is worth more than most $500 agent engineering courses. Bookmark and watch it before everyone catches up. Then read how to run 1,000 agents from one prompt below ↓
1:48:23
LunarResearcher's profile picture

Andrew Ng just released a 2-hour course on full Graph Engineering. How to go from one prompt to 100 agents that loop, rewrite themselves, and run without you: 09:14 - Build your first AI agent 33:11 - Run agents with loop engineering 1:02:46 - Turn agent loops into graphs 1:30:15 - Build agents that rewrite themselves 1:49:05 - Run the full graph system without you Most people are still building one agent and calling it done. Andrew Ng is already teaching everything after: Prompt → Agents → Loops → Graphs → Self-Improving Systems Single agents are the old workflow. Systems that improve and run without you are the new one. This 2-hour watch is worth more than most $500 agent engineering courses. Bookmark and watch it before everyone catches up. Then read how to run 1,000 agents from one prompt below ↓

Lunar

226,024 Aufrufe • vor 1 Monat

Anthropic engineer: "Stop re-prompting Claude all day. Build the loop once. Let it do the work." 00:00 - Build your first autonomous agent 05:02 - Make the loop fix its own mistakes 16:43 - Give Claude memory across sessions Prompting is the old workflow. Loops are the new one. This 30-minute watch is worth more than most paid agent courses. Bookmark and watch it today Then read the step-by-step guide below
31:36
LunarResearcher's profile picture

Anthropic engineer: "Stop re-prompting Claude all day. Build the loop once. Let it do the work." 00:00 - Build your first autonomous agent 05:02 - Make the loop fix its own mistakes 16:43 - Give Claude memory across sessions Prompting is the old workflow. Loops are the new one. This 30-minute watch is worth more than most paid agent courses. Bookmark and watch it today Then read the step-by-step guide below

Lunar

318,880 Aufrufe • vor 1 Monat

Google just released a free 2-hour course on full Graph Engineering. How to go from one prompt to an agent graph that can build itself: 0% → 10:16 - build your first AI agent 25% → 41:05 - master prompt engineering 50% → 54:45 - turn agents into graphs 75% → 1:20:10 - run loops inside agent graphs 100% → 1:43:33 - build a graph that builds itself Most people build one agent and stop there. Google is teaching everything that comes after: Prompt → Agents → Graphs → Loops → Self-Building Systems Single agents are the old workflow. Graphs that evolve themselves are the next one. This 2-hour course is worth more than most paid agent engineering courses. Bookmark it and watch today Then read how to run 1,000 agents from one prompt below ↓
1:55:41
LunarResearcher's profile picture

Google just released a free 2-hour course on full Graph Engineering. How to go from one prompt to an agent graph that can build itself: 0% → 10:16 - build your first AI agent 25% → 41:05 - master prompt engineering 50% → 54:45 - turn agents into graphs 75% → 1:20:10 - run loops inside agent graphs 100% → 1:43:33 - build a graph that builds itself Most people build one agent and stop there. Google is teaching everything that comes after: Prompt → Agents → Graphs → Loops → Self-Building Systems Single agents are the old workflow. Graphs that evolve themselves are the next one. This 2-hour course is worth more than most paid agent engineering courses. Bookmark it and watch today Then read how to run 1,000 agents from one prompt below ↓

Lunar

44,222 Aufrufe • vor 8 Tagen

Google just released a free 2-hour+ course on full agent engineering. How to go from one prompt to a system that runs while you sleep: 38:46 - Build your first AI agent 54:46 - Connect MCP tools 1:12:43 - Run agents with four loop patterns 1:20:57 - Turn agent loops into graphs 2:22:31 - Build the complete autonomous system Most people are still building one agent and stopping there. Google is already teaching the full stack: Agents → Tools → Loops → Graphs → Autonomous Systems Single agents are the old workflow. Systems that run without you are the new one. This course is worth more than most paid agent engineering bootcamps. Bookmark and watch it today Then read the full graph engineering playbook below
2:14:04
LunarResearcher's profile picture

Google just released a free 2-hour+ course on full agent engineering. How to go from one prompt to a system that runs while you sleep: 38:46 - Build your first AI agent 54:46 - Connect MCP tools 1:12:43 - Run agents with four loop patterns 1:20:57 - Turn agent loops into graphs 2:22:31 - Build the complete autonomous system Most people are still building one agent and stopping there. Google is already teaching the full stack: Agents → Tools → Loops → Graphs → Autonomous Systems Single agents are the old workflow. Systems that run without you are the new one. This course is worth more than most paid agent engineering bootcamps. Bookmark and watch it today Then read the full graph engineering playbook below

Lunar

198,008 Aufrufe • vor 1 Monat

My dad told me to get a real job instead of "Polymarket betting" Last month I made more than his annual salary. On weather markets. On Polymarket. He hasn't mentioned the job thing since. Here's exactly what happened: NOAA isn't the weather app on your phone. It's a federal supercomputer - satellites, ocean buoys, Doppler radar - running atmospheric models 24/7 for 40+ years. 48-hour forecast accuracy: above 93%. Meanwhile Polymarket weather markets are priced by people checking AccuWeather between TikToks. That gap between federal science and retail guessing - that's the profit. I'm use for copytrade bots: Chicago, Friday: NOAA gives 92% confidence hitting 71°F. Polymarket has that bucket at 8¢. The bot catches it in seconds. Buys at 8¢ → NOAA is right → market corrects to 49¢ → sells. 6x return. On weather. No prediction needed. I put in $150 and left my laptop on the kitchen table. Came back to 28 trades executed across 6 cities. NYC, Dallas, Miami, Seattle, Atlanta, Chicago - scanning every 2 minutes for wherever a weather app disagrees with a supercomputer. Simple rules: Only buys below 15¢ Only sells above 45¢ Never more than $2 per position This isn't trading. It's arbitrage between people with a phone and people with a $6 billion satellite network. 2,900+ trades 91% win rate +$38,700 in one month starting from $150 My dad still thinks I should get a real job. The bot made $847 while I was having that conversation with him.
0:31
LunarResearcher's profile picture

My dad told me to get a real job instead of "Polymarket betting" Last month I made more than his annual salary. On weather markets. On Polymarket. He hasn't mentioned the job thing since. Here's exactly what happened: NOAA isn't the weather app on your phone. It's a federal supercomputer - satellites, ocean buoys, Doppler radar - running atmospheric models 24/7 for 40+ years. 48-hour forecast accuracy: above 93%. Meanwhile Polymarket weather markets are priced by people checking AccuWeather between TikToks. That gap between federal science and retail guessing - that's the profit. I'm use for copytrade bots: Chicago, Friday: NOAA gives 92% confidence hitting 71°F. Polymarket has that bucket at 8¢. The bot catches it in seconds. Buys at 8¢ → NOAA is right → market corrects to 49¢ → sells. 6x return. On weather. No prediction needed. I put in $150 and left my laptop on the kitchen table. Came back to 28 trades executed across 6 cities. NYC, Dallas, Miami, Seattle, Atlanta, Chicago - scanning every 2 minutes for wherever a weather app disagrees with a supercomputer. Simple rules: Only buys below 15¢ Only sells above 45¢ Never more than $2 per position This isn't trading. It's arbitrage between people with a phone and people with a $6 billion satellite network. 2,900+ trades 91% win rate +$38,700 in one month starting from $150 My dad still thinks I should get a real job. The bot made $847 while I was having that conversation with him.

Lunar

755,581 Aufrufe • vor 6 Monaten

An ex-OpenAI engineer walked up to me at a meetup in SF I was showing my Polymarket terminal. He looked at the screen for ten seconds and said one sentence. "You're trading blind. The data is sitting in the open and you're writing prompts" I didn't understand. What data. He took my laptop. Opened one repository. 86 million trades. Every wallet. Every entry. Every exit. The entire Polymarket history since day one. "At OpenAI models don't guess. They read. Connect Claude Code to this dataset and say - find every wallet with a win rate above 70% and more than 100 trades" I asked - why Claude and not GPT? He looked at me like I was an idiot. "Because Claude Code connects to the repo directly. It reads the entire codebase. It's not a chatbox. It's a runtime" That evening I connected it. Claude pulled 47 wallets in 4 minutes. Average profit: $214K. Hold time: 7 hours. 91% close their position BEFORE resolution. Top wallets capture 86% of the move and cut losers at 12%. Everyone else - 58% of profit and hold losers to 41%. Same exact entries. The exits make it a completely different game. "Now connect the scanner" Three commands - the bot sees 500+ markets in real time. No API key. Read-only. Claude built the scoring in 20 minutes: Gap between price and model > 7 cents. Book depth > $500. Resolution in 4-48 hours. 93% of markets get killed instantly. Only the fat ones survive. "Now this is the important part" - he sent me an article where a guy built a full bot over a weekend from these same repos Copytrade here: Three exit triggers: Target 85% of expected move. Volume spike x3 - smart money leaving. 24 hours of silence - thesis is dead. I copied the whole stack. VPS $5. Claude $20. Total $25 a month. No team. No office. No Bloomberg. 16 days. 187 trades. 71% win rate. $800 seed. +$8,700. I sent him my screen. He replied a day later. "You just replicated for $25 what cost us six months and 11 people" I said - thanks for the tip. "Delete this chat" Too late.
0:24
LunarResearcher's profile picture

An ex-OpenAI engineer walked up to me at a meetup in SF I was showing my Polymarket terminal. He looked at the screen for ten seconds and said one sentence. "You're trading blind. The data is sitting in the open and you're writing prompts" I didn't understand. What data. He took my laptop. Opened one repository. 86 million trades. Every wallet. Every entry. Every exit. The entire Polymarket history since day one. "At OpenAI models don't guess. They read. Connect Claude Code to this dataset and say - find every wallet with a win rate above 70% and more than 100 trades" I asked - why Claude and not GPT? He looked at me like I was an idiot. "Because Claude Code connects to the repo directly. It reads the entire codebase. It's not a chatbox. It's a runtime" That evening I connected it. Claude pulled 47 wallets in 4 minutes. Average profit: $214K. Hold time: 7 hours. 91% close their position BEFORE resolution. Top wallets capture 86% of the move and cut losers at 12%. Everyone else - 58% of profit and hold losers to 41%. Same exact entries. The exits make it a completely different game. "Now connect the scanner" Three commands - the bot sees 500+ markets in real time. No API key. Read-only. Claude built the scoring in 20 minutes: Gap between price and model > 7 cents. Book depth > $500. Resolution in 4-48 hours. 93% of markets get killed instantly. Only the fat ones survive. "Now this is the important part" - he sent me an article where a guy built a full bot over a weekend from these same repos Copytrade here: Three exit triggers: Target 85% of expected move. Volume spike x3 - smart money leaving. 24 hours of silence - thesis is dead. I copied the whole stack. VPS $5. Claude $20. Total $25 a month. No team. No office. No Bloomberg. 16 days. 187 trades. 71% win rate. $800 seed. +$8,700. I sent him my screen. He replied a day later. "You just replicated for $25 what cost us six months and 11 people" I said - thanks for the tip. "Delete this chat" Too late.

Lunar

481,449 Aufrufe • vor 5 Monaten

Google just released a free 1-hour lecture from Chief Scientist Jeff Dean on full AI Engineering. How to go from one LLM to coordinating 100 AI agents: 01:45 - Build an LLM from scratch 17:22 - Learn how to actually use AI models 30:03 - Master prompt engineering 52:35 - Coordinate 100 agents as one human Most people are still learning how to prompt one model. Jeff Dean is showing the full stack: LLMs → Prompts → Agents → Agent Teams → Graphs Prompting is the old workflow. Coordinating agent systems is the new one. This is 27 years of Google AI compressed into one hour. Bookmark and watch it today Then read the full Graph Engineering guide below ↓
1:06:12
LunarResearcher's profile picture

Google just released a free 1-hour lecture from Chief Scientist Jeff Dean on full AI Engineering. How to go from one LLM to coordinating 100 AI agents: 01:45 - Build an LLM from scratch 17:22 - Learn how to actually use AI models 30:03 - Master prompt engineering 52:35 - Coordinate 100 agents as one human Most people are still learning how to prompt one model. Jeff Dean is showing the full stack: LLMs → Prompts → Agents → Agent Teams → Graphs Prompting is the old workflow. Coordinating agent systems is the new one. This is 27 years of Google AI compressed into one hour. Bookmark and watch it today Then read the full Graph Engineering guide below ↓

Lunar

102,011 Aufrufe • vor 1 Monat

Anthropic engineer: "At Anthropic, we don't write prompts anymore We build loops" In just 42 minutes, she shows how the Claude team builds loops that can prompt themselves If this were a $400 course, people would probably call it one of the best agent courses of the year It's completely free Watch it, then use the step-by-step guide below to build your first loop
29:48
LunarResearcher's profile picture

Anthropic engineer: "At Anthropic, we don't write prompts anymore We build loops" In just 42 minutes, she shows how the Claude team builds loops that can prompt themselves If this were a $400 course, people would probably call it one of the best agent courses of the year It's completely free Watch it, then use the step-by-step guide below to build your first loop

Lunar

72,996 Aufrufe • vor 1 Monat

Anthropic engineer: "Most people are using 10% of what Claude can do. The other 90% is Loops and Graphs." In just 27 minutes he explains how Anthropic actually uses Claude, and why most people never get there Chat → Agents → Loops → Graphs most people open a chat, prompt it well, and stop there because it works he closes the chat and builds the system that runs without him opening anything same model, same tokens, completely different workflow watch it today the full graph engineering guide is below, save it before everyone starts catching up ↓
26:55
LunarResearcher's profile picture

Anthropic engineer: "Most people are using 10% of what Claude can do. The other 90% is Loops and Graphs." In just 27 minutes he explains how Anthropic actually uses Claude, and why most people never get there Chat → Agents → Loops → Graphs most people open a chat, prompt it well, and stop there because it works he closes the chat and builds the system that runs without him opening anything same model, same tokens, completely different workflow watch it today the full graph engineering guide is below, save it before everyone starts catching up ↓

Lunar

20,527 Aufrufe • vor 9 Tagen

Anthropic engineer: "At Anthropic, we don't write prompts anymore We build loops" In just 42 minutes, she shows how the Claude team builds loops that can prompt themselves If this were a $400 course, people would probably call it one of the best agent courses of the year It's completely free Watch it, then use the step-by-step guide below to build your first loop
30:07
LunarResearcher's profile picture

Anthropic engineer: "At Anthropic, we don't write prompts anymore We build loops" In just 42 minutes, she shows how the Claude team builds loops that can prompt themselves If this were a $400 course, people would probably call it one of the best agent courses of the year It's completely free Watch it, then use the step-by-step guide below to build your first loop

Lunar

40,637 Aufrufe • vor 19 Tagen

Google just released a free 1-hour lecture from Chief Scientist Jeff Dean on full AI Engineering. How to go from one LLM to coordinating 100 AI agents: 0% → 01:45 - build an LLM from scratch 30% → 17:22 - learn how to actually use AI models 60% → 30:03 - master prompt engineering 100% → 52:35 - coordinate 100 agents as one human Most people are still learning how to prompt a single model. Jeff Dean is showing the entire stack: LLMs → Prompts → Agents → Agent Teams → Graphs Prompting is the old workflow. Coordinating entire agent systems is the next one. This is 27 years of Google AI compressed into a single hour. Bookmark it and watch today. Then read the full Graph Engineering guide below ↓
1:06:06
LunarResearcher's profile picture

Google just released a free 1-hour lecture from Chief Scientist Jeff Dean on full AI Engineering. How to go from one LLM to coordinating 100 AI agents: 0% → 01:45 - build an LLM from scratch 30% → 17:22 - learn how to actually use AI models 60% → 30:03 - master prompt engineering 100% → 52:35 - coordinate 100 agents as one human Most people are still learning how to prompt a single model. Jeff Dean is showing the entire stack: LLMs → Prompts → Agents → Agent Teams → Graphs Prompting is the old workflow. Coordinating entire agent systems is the next one. This is 27 years of Google AI compressed into a single hour. Bookmark it and watch today. Then read the full Graph Engineering guide below ↓

Lunar

24,107 Aufrufe • vor 13 Tagen