slash1s's banner

slash1s

@slash1sol • 7,111 subscribers

smoke cigs and post about coding, ai, crypto, trading, prediction markets..

Shorts

"How is this legal?" it isn't a girl. it's a 22-year-old guy in a gaming chair in Spain. he runs 4 instagram accounts as 4 different women. 612,000 combined followers. none of them exist. he merges two pinterest faces in Nano Banana Pro to create a girl who has never been born. records himself in his chair. plugs the video and her photo into Kling Motion Control. Kling transfers his movement onto her body frame-by-frame. sends the file to his phone via telegram. that step strips the AI-generated metadata. the platform sees regular user content. CapCut: grain 40, sharpness 20, brightness -8. plastic look gone. one of his accounts hit 156,000 followers in 21 days. same chair. same lighting. four women. one guy. details in the article. don't forget to save.

"How is this legal?" it isn't a girl. it's a 22-year-old guy in a gaming chair in Spain. he runs 4 instagram accounts as 4 different women. 612,000 combined followers. none of them exist. he merges two pinterest faces in Nano Banana Pro to create a girl who has never been born. records himself in his chair. plugs the video and her photo into Kling Motion Control. Kling transfers his movement onto her body frame-by-frame. sends the file to his phone via telegram. that step strips the AI-generated metadata. the platform sees regular user content. CapCut: grain 40, sharpness 20, brightness -8. plastic look gone. one of his accounts hit 156,000 followers in 21 days. same chair. same lighting. four women. one guy. details in the article. don't forget to save.

216,500 次观看

me when realized I’d wasted five years on crypto while Chinese quant college kid coded MiroFish in 10 days with AI help and bagged $4M overnight, and can now predict almost any event and make $100K+/month

me when realized I’d wasted five years on crypto while Chinese quant college kid coded MiroFish in 10 days with AI help and bagged $4M overnight, and can now predict almost any event and make $100K+/month

419,836 次观看

a Russian mathematician died in 1922. His math just made a bot $468,228 on Polymarket in 30 days. Andrey Markov never saw a prediction market. He built the exact tool to dominate them. [Bonereaper] runs BTC/ETH 1-hour windows. 1,500-2,900 shares per trade. 14,671 trades total. Two conditions. Both must fire simultaneously: Δ = p̂ − q ≥ 0.05 -> gap exists. p(j, j) ≥ 0.87 -> state is stable. Both true? Position entered. Every minute. 24/7. The edge: humans sleep. Markets don't. At 3AM nobody watches a 5-min BTC window. The gap widens. The bot enters. His profile: His wallet: 0xeebde7a0e019a63e6b476eb425505b7b3e6eba30 copy trades live from $10 -> Save this alpha.

148,665 次观看

me realizing that ByteDance just dropped OpenViking repo and now with that Chinese college kid’s MiroFish I can upgrade AI memory, predict almost any real world event and finally make more money than I earned grinding crypto for the last 5 years, even $100k/month

me realizing that ByteDance just dropped OpenViking repo and now with that Chinese college kid’s MiroFish I can upgrade AI memory, predict almost any real world event and finally make more money than I earned grinding crypto for the last 5 years, even $100k/month

211,705 次观看

A Russian mathematician died in 1922. His math just made 3 anonymous bots $1,331,821 in 30 days on Polymarket. Andrey Markov never saw a prediction market. He built the exact tool to destroy them. Here's the cheat code -> The model doesn't predict. It measures. Two conditions. Both must fire simultaneously: Δ = p̂ − q ≥ 0.05 -> gap exists p(j*, j*) ≥ 0.87 -> state is stable If both are true -> position entered. One function. Runs every minute. 24/7. Three bots. Three styles. One principle: - 0xeebde7a0e019a63e6b476eb425505b7b3e6eba30 -> 1,500-2,900 shares, BTC/ETH 1h windows -> 14,339 trades -> $454,834. - 0xe1d6b51521bd4365769199f392f9818661bd907c -> dual-mode EV, best single trade +54.6% -> $432,591. - 0xb27bc932bf8110d8f78e55da7d5f0497a18b5b82 -> 5 assets, 1 trade per 1.7 min, σ−55% -> $444,396. The formula behind all three: V_T = V₀ · e^(N · r̄) At 16,000 trades and 0.034% per trade -> ×240 growth. Math doesn't care about your conviction. Only about N. The edge? Humans sleep. Markets don't. At 3AM nobody's watching a 5-min BTC window. The gap widens. The bot enters. You don't have to build the bot. You just have to follow it. -> Copy all 3 wallets live, starting from $10: (Just add the wallets I attached above). Save this list.

A Russian mathematician died in 1922. His math just made 3 anonymous bots $1,331,821 in 30 days on Polymarket. Andrey Markov never saw a prediction market. He built the exact tool to destroy them. Here's the cheat code -> The model doesn't predict. It measures. Two conditions. Both must fire simultaneously: Δ = p̂ − q ≥ 0.05 -> gap exists p(j, j) ≥ 0.87 -> state is stable If both are true -> position entered. One function. Runs every minute. 24/7. Three bots. Three styles. One principle: - 0xeebde7a0e019a63e6b476eb425505b7b3e6eba30 -> 1,500-2,900 shares, BTC/ETH 1h windows -> 14,339 trades -> $454,834. - 0xe1d6b51521bd4365769199f392f9818661bd907c -> dual-mode EV, best single trade +54.6% -> $432,591. - 0xb27bc932bf8110d8f78e55da7d5f0497a18b5b82 -> 5 assets, 1 trade per 1.7 min, σ−55% -> $444,396. The formula behind all three: V_T = V₀ · e^(N · r̄) At 16,000 trades and 0.034% per trade -> ×240 growth. Math doesn't care about your conviction. Only about N. The edge? Humans sleep. Markets don't. At 3AM nobody's watching a 5-min BTC window. The gap widens. The bot enters. You don't have to build the bot. You just have to follow it. -> Copy all 3 wallets live, starting from $10: (Just add the wallets I attached above). Save this list.

121,754 次观看

BREAKING: LLMs just learned to COMPUTE for real, it's mean NO MORE GUESSING math. Chinese college kid Guo Hanjiang vibe-coded MiroFish in 10 days (23k+ GitHub stars, $4.1M from Shanda in 24h) - the AI swarm simulator that’s already printing. ByteDance (VolcEngine) dropped the nuclear upgrade: OpenViking - structured viking:// filesystem memory (L0 ultra-summary -> L2 full details) - agents now run 100+ steps with zero amnesia or hallucinations, 11.6k stars and climbing. Now this just dropped and the entire AI timeline is shaking. Startup Percepta embedded a full WASM virtual machine directly into Transformer weights. No more external Python sandboxes. No more hallucinations in exact tasks. The model streams raw machine code at 30,000+ tokens/sec on CPU, executes millions of steps, and solves the world’s hardest Sudoku via real backtracking + constraint propagation - 100% accurate, zero bullshit. They killed the Attention Bottleneck with Exponentially Fast Attention (HullKVCache + 2D heads + convex hull queries in log time). What used to die at 1k steps now flies. This is the bridge: System 1 intuition (normal LLMs) + System 2 deterministic logic (native code execution) in ONE brain. Agents won’t need tools anymore. Heavy simulations will run inside the weights. Check out: Now put it all together: MiroFish swarms + OpenViking infinite memory + Percepta native flawless compute = agents that can hardcore simulate millions of future scenarios, run perfect logic loops for days, and predict events/markets/reality with god-tier accuracy. No drift. No bullshit. Just pure foresight. This combo will change everything, imo. The era of predictive super-agents that actually print the future is here. We’re watching this one closely. Save this combo.

BREAKING: LLMs just learned to COMPUTE for real, it's mean NO MORE GUESSING math. Chinese college kid Guo Hanjiang vibe-coded MiroFish in 10 days (23k+ GitHub stars, $4.1M from Shanda in 24h) - the AI swarm simulator that’s already printing. ByteDance (VolcEngine) dropped the nuclear upgrade: OpenViking - structured viking:// filesystem memory (L0 ultra-summary -> L2 full details) - agents now run 100+ steps with zero amnesia or hallucinations, 11.6k stars and climbing. Now this just dropped and the entire AI timeline is shaking. Startup Percepta embedded a full WASM virtual machine directly into Transformer weights. No more external Python sandboxes. No more hallucinations in exact tasks. The model streams raw machine code at 30,000+ tokens/sec on CPU, executes millions of steps, and solves the world’s hardest Sudoku via real backtracking + constraint propagation - 100% accurate, zero bullshit. They killed the Attention Bottleneck with Exponentially Fast Attention (HullKVCache + 2D heads + convex hull queries in log time). What used to die at 1k steps now flies. This is the bridge: System 1 intuition (normal LLMs) + System 2 deterministic logic (native code execution) in ONE brain. Agents won’t need tools anymore. Heavy simulations will run inside the weights. Check out: Now put it all together: MiroFish swarms + OpenViking infinite memory + Percepta native flawless compute = agents that can hardcore simulate millions of future scenarios, run perfect logic loops for days, and predict events/markets/reality with god-tier accuracy. No drift. No bullshit. Just pure foresight. This combo will change everything, imo. The era of predictive super-agents that actually print the future is here. We’re watching this one closely. Save this combo.

156,699 次观看

STOP WASTING TOKENS ON OPENCLAW (I DID IT FOR WEEKS) thought my agent was "optimized" - turns out it was just a token burning machine this guide exposed my setup: no workspace config = 3x spend on every call key insight: bootstrap memory ( etc) loads EVERY time - stuff it wisely or pay forever semantic search pulls facts on-demand from - no constant token drain after tweaks: > token usage: down 70% > agent recall: flawless across sessions gateway handles the pipeline: message -> context inject -> LLM loop -> tools -> response miss this? your agent's half-baked If you're running OpenClaw🦞 vanilla, you're leaking cash and potential dive into this breakdown and don't forget to bookmark it - it's agent building gold imo

STOP WASTING TOKENS ON OPENCLAW (I DID IT FOR WEEKS) thought my agent was "optimized" - turns out it was just a token burning machine this guide exposed my setup: no workspace config = 3x spend on every call key insight: bootstrap memory ( etc) loads EVERY time - stuff it wisely or pay forever semantic search pulls facts on-demand from - no constant token drain after tweaks: > token usage: down 70% > agent recall: flawless across sessions gateway handles the pipeline: message -> context inject -> LLM loop -> tools -> response miss this? your agent's half-baked If you're running OpenClaw🦞 vanilla, you're leaking cash and potential dive into this breakdown and don't forget to bookmark it - it's agent building gold imo

177,341 次观看

My girlfriend asked why I was smiling at 4 AM. Showed her the terminal. "What are all those green numbers?" +$11,400. Made while I slept. "Doing what?" Nothing. Claude scanned 86 million Polymarket trades, found the 47 wallets that never lose, and built me a bot that copies them live. She watched for 10 seconds: +$340 captured +$890 captured +$1,400 captured "It just keeps going?" Every few seconds. New market. New edge. New profit. "How much did you start with?" $25/month. Claude API + $5 VPS. Now the bot runs 24/7 in Germany and I haven’t touched it in 19 days. "What does it do?" Finds mispriced markets before the crowd, copies the smartest whales, exits at the perfect moment. 74% win rate. Sharpe 2.31. "That’s legal?" Polymarket is. The top wallets do this every day. I just have one screen. 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. You only need Claude + the 4 open-source repos + 1 hour this weekend. Giving the full step-by-step + my exact bot setup free for the next 24 hours. To get it: > Comment the word "BOT". > Like + Retweet this post. > Follow me slash1s (so I can DM you the link). > Bookmark this post.

My girlfriend asked why I was smiling at 4 AM. Showed her the terminal. "What are all those green numbers?" +$11,400. Made while I slept. "Doing what?" Nothing. Claude scanned 86 million Polymarket trades, found the 47 wallets that never lose, and built me a bot that copies them live. She watched for 10 seconds: +$340 captured +$890 captured +$1,400 captured "It just keeps going?" Every few seconds. New market. New edge. New profit. "How much did you start with?" $25/month. Claude API + $5 VPS. Now the bot runs 24/7 in Germany and I haven’t touched it in 19 days. "What does it do?" Finds mispriced markets before the crowd, copies the smartest whales, exits at the perfect moment. 74% win rate. Sharpe 2.31. "That’s legal?" Polymarket is. The top wallets do this every day. I just have one screen. 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. You only need Claude + the 4 open-source repos + 1 hour this weekend. Giving the full step-by-step + my exact bot setup free for the next 24 hours. To get it: > Comment the word "BOT". > Like + Retweet this post. > Follow me slash1s (so I can DM you the link). > Bookmark this post.

83,950 次观看

THIS WILD BOT FOR COPYTRADING ON POLYMARKET JUST TURNED $5 INTO $500,000 AND ABSOLUTELY NO ONE IS TALKING ABOUT IT He’s closed over 17,999 trades with a FLAWLESS 100% win rate and banked half a million in pure profit. He only plays one category -> Up/Down on Crypto. The craziest wins that still give me chills: // $180 -> $8,400 (+4,500%). $250 -> $8,000 (+3,100%). // The strategy is stupidly simple: the bot just keeps stacking positions with the HIGHEST probability of winning. You physically can’t react fast enough manually. The bot does it instantly. Check the legend’s profile here -> Copy every single one of his trades in one click here -> (Just add his wallet to TG bot 0xf247584e41117bbbe4cc06e4d2c95741792a5216) And if you want to build this exact kind of beast yourself (zero mistakes), this guy already dropped the full no-BS step-by-step guide. Start right now. Tomorrow you’ll be thanking yourself. Don't forget to SAVE IT.

44,912 次观看

BEST TRADER FOR COPY TRADING ON POLYMARKET RIGHT NOW - turned $84 into $6.5M Let Claude analyze his entire history and pull out the actual working formulas. Real top traders use only 2-4 strategies. Quality over quantity 100%. Numbers don't lie: -> +$6,300,000 PnL in the last 8 months -> 43,200+ predictions -> 79% win rate His equity curve is beautiful, keeps growing non-stop. Wouldn't shock me if he was a meteorologist in past life. Check his profile: Claude dissected every bet and showed me his 2 best setups in literally 10 minutes: RSI Formula: RSI = 100 - (100 / (1 + RS)) RS = Avg Gain / Avg Loss (N=14) RSI 70 → Sell MA Crossover: Fast MA crosses UP → Buy (Golden Cross) Fast MA crosses DOWN → Sell (Death Cross) I started copying this guy and my results are already strong - $200 to $700 in 4 days. Now doing it the smart way - full auto copy via TG bot. Copy the best traders (including him) here: Save alpha.

51,657 次观看

polymarket trader turned $0.80 into $400 on a single weather prediction. he snipes 1-cent YES shares on precise city temperatures worldwide and holds until resolution. Paris: $0.80 -> $400 (500x) Singapore: $1.60 -> $400 (250x) Chongqing: $1.60 -> $400 (250x) 19,000 resolutions. $13,000 printed. he changes his username often. save the profile before he disappears: copy his trades automatically via ->

16,516 次观看

me when realized I’d wasted five years on crypto while this complete GitHub stack exists and now any dev can build powerful Polymarket AI agents and bots in days and start making $80k+/month on autopilot instead of just yolo trading

me when realized I’d wasted five years on crypto while this complete GitHub stack exists and now any dev can build powerful Polymarket AI agents and bots in days and start making $80k+/month on autopilot instead of just yolo trading

24,448 次观看

CHINESE ENGINEERS JUST WROTE CLAUDE SCRIPT AND TURNED $6.02 INTO $3.3 MILLION ON POLYMARKET Nobody tells you about them and you still think this is a person placing bets manually I guess. Let me disappoint you, this is a fully automated script built by Chinese engineers 100%. This is true. They called it PHANTOM X. It runs completely through Claude. Their account here: Result: $6.02 -> $3,354,000. Win rate 71%. Biggest win: $179,000 (single bet). I’m copying their trades here: (Just added their wallet to TG bot 0xee613b3fc183ee44f9da9c05f53e2da107e3debf, it's so easy) How the bot works: -> It simultaneously tracks thousands of sports markets on Polymarket and Kalshi. -> Finds discrepancies between the platforms. -> Enters positions faster than any human could imo. Just three strategies in one: -- Pairs Trading: the bot sees YES on the Rockets at $0.62 while NO is at $0.41. Total = $1.03 instead of $1.00. That’s a 3% risk-free profit. It enters automatically within milliseconds. -- Sentiment AI: scans Twitter (X) and news in real time. If something big breaks, it recalculates the probability in 2 seconds before the market reacts. -- Calendar + Volatility: 15–20 minutes before the game, volatility spikes. The bot takes positions early and closes after the first major move. Why sports is perfect? Sports O/U markets have clear paired contracts that should total exactly $1.00, but constant deviations create reliable arbitrage. This is exactly how [sovereign2013] built $3.35M. > A human physically cannot monitor 50+ markets at once, react in milliseconds, stay awake 24/7, avoid emotions after losses, and run Z-scores on 60 bars of data. > The bot does all of this in parallel without breaks. Manual trading is dying. The automation era has arrived. Start learning Claude now. If you’re interested in writing your own bot on Polymarket: Comment the word "BOT" Like and repost this post Follow me (so I can message you easly) And within 24 hours I will send you a full manual on how to build a bot that can earn $2,900+/month. Also SAVE this info and article.

CHINESE ENGINEERS JUST WROTE CLAUDE SCRIPT AND TURNED $6.02 INTO $3.3 MILLION ON POLYMARKET Nobody tells you about them and you still think this is a person placing bets manually I guess. Let me disappoint you, this is a fully automated script built by Chinese engineers 100%. This is true. They called it PHANTOM X. It runs completely through Claude. Their account here: Result: $6.02 -> $3,354,000. Win rate 71%. Biggest win: $179,000 (single bet). I’m copying their trades here: (Just added their wallet to TG bot 0xee613b3fc183ee44f9da9c05f53e2da107e3debf, it's so easy) How the bot works: -> It simultaneously tracks thousands of sports markets on Polymarket and Kalshi. -> Finds discrepancies between the platforms. -> Enters positions faster than any human could imo. Just three strategies in one: -- Pairs Trading: the bot sees YES on the Rockets at $0.62 while NO is at $0.41. Total = $1.03 instead of $1.00. That’s a 3% risk-free profit. It enters automatically within milliseconds. -- Sentiment AI: scans Twitter (X) and news in real time. If something big breaks, it recalculates the probability in 2 seconds before the market reacts. -- Calendar + Volatility: 15–20 minutes before the game, volatility spikes. The bot takes positions early and closes after the first major move. Why sports is perfect? Sports O/U markets have clear paired contracts that should total exactly $1.00, but constant deviations create reliable arbitrage. This is exactly how [sovereign2013] built $3.35M. > A human physically cannot monitor 50+ markets at once, react in milliseconds, stay awake 24/7, avoid emotions after losses, and run Z-scores on 60 bars of data. > The bot does all of this in parallel without breaks. Manual trading is dying. The automation era has arrived. Start learning Claude now. If you’re interested in writing your own bot on Polymarket: Comment the word "BOT" Like and repost this post Follow me (so I can message you easly) And within 24 hours I will send you a full manual on how to build a bot that can earn $2,900+/month. Also SAVE this info and article.

16,078 次观看

Claude just cooked the ultimate Polymarket copytrade blueprint and this sports betting monster is already printing $1,200,000+ with it. Forget guessing lines, grinding stats, or watching every game. This absolute unit joined Nov 2024 and is straight-up farming: - $1,238,417 all-time profit. - Biggest single win: $349.8K. - 108 predictions absolutely cooke. - Back-to-back 6-figure bags on Huskies, Hornets spreads, Dodgers, Arizona Wildcats - every major sports market is his playground. He’s not betting. He’s exploiting inefficient sports lines while normies chase politics. And right now this guy just dropped below the exact 24-strategy playbook: -> Standard + Sniper signals. -> Full settings matrix for every budget ($15 to $1K+) and every risk level (Conservative -> High-Octane Shark mode). -> Every advanced parameter broken down so you don’t blow up your bag. This is the 2026 meta imo. Exhibit A: [Mentallyillgambld] -> Tired of watching from the sidelines? Copy this exact whale + the rest of the top sports degens live and automatically with Just paste his wallet [0x2b3ff45c91540e46fae1e0c72f61f4b049453446] here and let it mirror every move in real time. No spreadsheets. No FOMO. Pure autopilot alpha. Stop trying to beat the spreads. Start copying the ones who already own them. Save the trader. Save the Claude blueprint. The edge just got served on a silver platter.

Claude just cooked the ultimate Polymarket copytrade blueprint and this sports betting monster is already printing $1,200,000+ with it. Forget guessing lines, grinding stats, or watching every game. This absolute unit joined Nov 2024 and is straight-up farming: - $1,238,417 all-time profit. - Biggest single win: $349.8K. - 108 predictions absolutely cooke. - Back-to-back 6-figure bags on Huskies, Hornets spreads, Dodgers, Arizona Wildcats - every major sports market is his playground. He’s not betting. He’s exploiting inefficient sports lines while normies chase politics. And right now this guy just dropped below the exact 24-strategy playbook: -> Standard + Sniper signals. -> Full settings matrix for every budget ($15 to $1K+) and every risk level (Conservative -> High-Octane Shark mode). -> Every advanced parameter broken down so you don’t blow up your bag. This is the 2026 meta imo. Exhibit A: [Mentallyillgambld] -> Tired of watching from the sidelines? Copy this exact whale + the rest of the top sports degens live and automatically with Just paste his wallet [0x2b3ff45c91540e46fae1e0c72f61f4b049453446] here and let it mirror every move in real time. No spreadsheets. No FOMO. Pure autopilot alpha. Stop trying to beat the spreads. Start copying the ones who already own them. Save the trader. Save the Claude blueprint. The edge just got served on a silver platter.

11,975 次观看

Videos

Anya Rossi

sweetdream.ai

SweetDream.ai•Sponsored•Livecam

Watch Anya Live

Anya is streaming live right now! Join her private show and enjoy exclusive content.

Exclusive private shows

1.2k viewers online

Private Show

Join now for exclusive access

Free preview available • Premium content

He broke the Bank of England, made $1 billion in a single day, ran a $12 billion fund for 30 years, and never had one losing year this is him sitting down with Bloomberg to explain why he just put most of his portfolio into one AI stock and why a guy who shorted entire currencies just put most of his portfolio into one AI stock bookmark & watch it today ↓

He broke the Bank of England, made $1 billion in a single day, ran a $12 billion fund for 30 years, and never had one losing year this is him sitting down with Bloomberg to explain why he just put most of his portfolio into one AI stock and why a guy who shorted entire currencies just put most of his portfolio into one AI stock bookmark & watch it today ↓

215,495 次观看 • 5 天前

THE GUY WHO BUILT GIT GAVE A FULL LECTURE AT GOOGLE BECAUSE 99% OF DEVELOPERS USE IT WRONG 70 minutes of pure firepower from Linus Torvalds himself - the man who wrote both Linux and Git from scratch. -> The moment you watch it, you realize why "I'll just figure out merge conflicts on the job" is the dumbest sentence in modern software engineering. He spends the first 10 minutes calling out every other version control system in existence and he's not joking. He literally tells Google engineers using Perforce to find a new tool. Git isn't a "nice-to-have" anymore -> it's the operating system of every codebase you'll ever touch. If the man who built it had to explain it to a room full of Google engineers, you don't get a pass either. Don't forget to bookmark & watch it today.

THE GUY WHO BUILT GIT GAVE A FULL LECTURE AT GOOGLE BECAUSE 99% OF DEVELOPERS USE IT WRONG 70 minutes of pure firepower from Linus Torvalds himself - the man who wrote both Linux and Git from scratch. -> The moment you watch it, you realize why "I'll just figure out merge conflicts on the job" is the dumbest sentence in modern software engineering. He spends the first 10 minutes calling out every other version control system in existence and he's not joking. He literally tells Google engineers using Perforce to find a new tool. Git isn't a "nice-to-have" anymore -> it's the operating system of every codebase you'll ever touch. If the man who built it had to explain it to a room full of Google engineers, you don't get a pass either. Don't forget to bookmark & watch it today.

210,213 次观看 • 7 天前

HARVARD RELEASED A 65-MIN MASTERCLASS ON GIT & GITHUB BECAUSE VIBE-CODERS STILL DON'T KNOW HOW TO COMMIT 1 hour and 5 minutes of raw, no-nonsense version control architecture from the creators of CS50. -> The moment you watch it, you realize why most modern developers are breaking their production branches. Every tier-1 tech company is now filtering candidates who can't handle basic merge conflicts. Git isn't a "nice-to-know" anymore -> it's compliance. Your AI can write the code. That wasn't the problem. The problem is you don't know how to merge it without breaking the repo. Don’t forget to bookmark it.

HARVARD RELEASED A 65-MIN MASTERCLASS ON GIT & GITHUB BECAUSE VIBE-CODERS STILL DON'T KNOW HOW TO COMMIT 1 hour and 5 minutes of raw, no-nonsense version control architecture from the creators of CS50. -> The moment you watch it, you realize why most modern developers are breaking their production branches. Every tier-1 tech company is now filtering candidates who can't handle basic merge conflicts. Git isn't a "nice-to-know" anymore -> it's compliance. Your AI can write the code. That wasn't the problem. The problem is you don't know how to merge it without breaking the repo. Don’t forget to bookmark it.

248,342 次观看 • 13 天前

Mind blown: A Chinese quant college student builds an AI swarm engine in 10 days flat, explodes GitHub with 13,000+ stars, and scores $4,000,000 in funding! Introducing MiroFish is the multi-agent simulator that's revolutionizing predictions for trading, PR, and more. What is MiroFish? It's a digital sandbox where thousands of AI agents with individual memories and behaviors interact like a real society. Feed it any scenario (news leak, policy change, or even a classic novel's missing ending), and it simulates crowd reactions, debates, and outcomes to forecast real-world events. The Creator's Story: > In late 2025, fourth-year student Guo Hanjiang coded the core using AI assistants. > It went viral overnight, landing him 30m Yuan (~$4m) from Shanda Group. > He ditched the dorm, started a company, and now leads the charge. Key Applications: .Trading: Input financial news or reports, watch simulated market panics and price swings for predictive insights. .PR Testing: Companies/Politics run draft statements to spot backlash and refine messaging. .Creative Experiments: Loaded a lost-ending Chinese novel, agents role-played characters and generated a logical finale. .Easy setup: Deploy via Docker in minutes with any LLM API key. Pro tip: Simulate something wild like Elon Musk tweeting about Dogecoin 2.0 and spawn agent traders, influencers, and investors, generate real-time video clips of the frenzy to test moonshots or crashes risk-free. Traders are already winning big: Check this one on Polymarket - $120,000+ net profits from spot on SPX 500 bets, powered by MiroFish sims on historical data. His profile: For effortless gains, try Kreo copy trading: Auto-mirror pros like him and ride their edges. Try here: Add his wallet: [0x17559efac103ac7f361be37ec0b93888d4c55aac] to [ and start track/copy him. Repo:

1,111,651 次观看 • 2 个月前

Game Changer: Chinese college student Guo Hangjiang (GitHub: 666ghj) codes MiroFish AI swarm engine solo in 10 days with AI assistants, explodes GitHub to 23k+ stars, bags $4.1M from Shanda Group in 24 hours, ditches dorm life to become Shanghai CEO. Tech Highlights: .GraphRAG builds detailed knowledge graphs (e.g., 905 entities, 3,822 relations in demos). .Agents with Zep memory, unique traits, sims capped at ~40 rounds for efficiency. .Hybrid Node.js/Python backend, Docker deploy, OpenAI-compatible LLMs. .Low-resource scaling: 8B param dragon boat festival sim runs smooth (vid demo). .AGPL license, credits CAMEL-AI, recent fixes for UI/errors. .Online demo: - Test predictions interactively. Creator Quick Look: >> BaiFu (Guo Hangjiang), BUPT senior turned Shanghai CEO at Shanda. >> Built on 38.6k-star BettaFish & MindSpider for full data-prediction pipelines. >> 790 contribs last year. Real-World Plays -> -> Sentiment: Wuhan Uni backlash sim predicts trends (repo vid). -> Literary: Agents finish Dream of the Red Chamber's lost ending. -> Finance: Historical data for market forecasts; like bags on Polymarket SPX bets. -> Policy: "What-if" for bills/geopolitics. -> Cultural: Dragon boat fest agent dynamics. -> Ecosystems: Integrates crawlers for PR/decision tools. Repo:

Game Changer: Chinese college student Guo Hangjiang (GitHub: 666ghj) codes MiroFish AI swarm engine solo in 10 days with AI assistants, explodes GitHub to 23k+ stars, bags $4.1M from Shanda Group in 24 hours, ditches dorm life to become Shanghai CEO. Tech Highlights: .GraphRAG builds detailed knowledge graphs (e.g., 905 entities, 3,822 relations in demos). .Agents with Zep memory, unique traits, sims capped at ~40 rounds for efficiency. .Hybrid Node.js/Python backend, Docker deploy, OpenAI-compatible LLMs. .Low-resource scaling: 8B param dragon boat festival sim runs smooth (vid demo). .AGPL license, credits CAMEL-AI, recent fixes for UI/errors. .Online demo: - Test predictions interactively. Creator Quick Look: >> BaiFu (Guo Hangjiang), BUPT senior turned Shanghai CEO at Shanda. >> Built on 38.6k-star BettaFish & MindSpider for full data-prediction pipelines. >> 790 contribs last year. Real-World Plays -> -> Sentiment: Wuhan Uni backlash sim predicts trends (repo vid). -> Literary: Agents finish Dream of the Red Chamber's lost ending. -> Finance: Historical data for market forecasts; like bags on Polymarket SPX bets. -> Policy: "What-if" for bills/geopolitics. -> Cultural: Dragon boat fest agent dynamics. -> Ecosystems: Integrates crawlers for PR/decision tools. Repo:

680,722 次观看 • 2 个月前

While the world doomscrolls 15-second TikToks and loses its attention span.. YOU SHOULD CHECK OUT THIS NEW REPO A Chinese college kid built MiroFish in just 10 days, scored $4M funding and ByteDance just dropped the upgrade that turns it into a prediction monster. Fourth-year student Guo Hanjiang vibe coded MiroFish: thousands of autonomous AI agents simulating entire societies in real time. See the details in the post below. Feed it any news, report, or historical data - watch markets, crowds, and politics react exactly as they would. GitHub went nuclear, he scored $4M funding from Shanda Group, and Polymarket traders are already printing +$120k+ using his SPX and event simulations. But long runs had one fatal flaw: agents got amnesia, hallucinations, and context overload. Classic RAG garbage. Now the same company behind TikTok (via VolcEngine) just open-sourced the fix: OpenViking - already at 11.6k+ stars on GitHub. Repo: It turns chaotic memory into a clean, structured filesystem: -> viking://user/memories/ (your habits + past outcomes) -> viking://agent/skills/ (trading and analysis superpowers) Smart 3-layer hierarchy: .L0 - 100-token ultra-summary .L1 - quick overview .L2 - full details (opened only when needed) Agents browse folders intelligently instead of dumping everything. Result: > No more forgetting crucial facts from the start of a simulation > Way fewer hallucinations > Massive API token savings > Self-updating memory - agents get smarter after every run MiroFish + OpenViking = absolute nuclear edge for Polymarket and event prediction. I will use it for my private bot. Thousands of agents now run with perfect long-term memory, stay sharp for 100+ steps, and deliver hyper-accurate probabilities. This combo is about to change the game for anyone trading predictions. The irony is insane: the company that killed human attention with short videos just gave AI agents eternal, structured, self-evolving memory. Who’s already running this combo on Polymarket? Save this. The real alpha just dropped.

While the world doomscrolls 15-second TikToks and loses its attention span.. YOU SHOULD CHECK OUT THIS NEW REPO A Chinese college kid built MiroFish in just 10 days, scored $4M funding and ByteDance just dropped the upgrade that turns it into a prediction monster. Fourth-year student Guo Hanjiang vibe coded MiroFish: thousands of autonomous AI agents simulating entire societies in real time. See the details in the post below. Feed it any news, report, or historical data - watch markets, crowds, and politics react exactly as they would. GitHub went nuclear, he scored $4M funding from Shanda Group, and Polymarket traders are already printing +$120k+ using his SPX and event simulations. But long runs had one fatal flaw: agents got amnesia, hallucinations, and context overload. Classic RAG garbage. Now the same company behind TikTok (via VolcEngine) just open-sourced the fix: OpenViking - already at 11.6k+ stars on GitHub. Repo: It turns chaotic memory into a clean, structured filesystem: -> viking://user/memories/ (your habits + past outcomes) -> viking://agent/skills/ (trading and analysis superpowers) Smart 3-layer hierarchy: .L0 - 100-token ultra-summary .L1 - quick overview .L2 - full details (opened only when needed) Agents browse folders intelligently instead of dumping everything. Result: > No more forgetting crucial facts from the start of a simulation > Way fewer hallucinations > Massive API token savings > Self-updating memory - agents get smarter after every run MiroFish + OpenViking = absolute nuclear edge for Polymarket and event prediction. I will use it for my private bot. Thousands of agents now run with perfect long-term memory, stay sharp for 100+ steps, and deliver hyper-accurate probabilities. This combo is about to change the game for anyone trading predictions. The irony is insane: the company that killed human attention with short videos just gave AI agents eternal, structured, self-evolving memory. Who’s already running this combo on Polymarket? Save this. The real alpha just dropped.

292,863 次观看 • 2 个月前

THIS IS WHY CLAUDE MYTHOS WILL BE DANGEROUS Claude Opus 4.6 just proved how to turn those insane 5-minute high-leverage windows on Polymarket into an absolute cash printer. Same $1,000 starting capital. Same markets. Same 48-hour window. One Claude-powered bot turned it into $14,216 -> clean +1,322%. The other one? Vaporized straight to zero. It wasn’t about having a smarter forecast. It was about ironclad discipline baked straight into the code. > Kelly Criterion applied to every single position > Ruthless position-size caps > Automatic kill-switch the second drawdown hits the limit > Full shutdown the moment the math says "walk away" That’s exactly why I’m now copying the sharpest Polymarket performers on full autopilot through PolyGun in TG: including absolute monsters like the legendary [0x8dxd] bot from the article below. His profile: This is the same account that caught a 2-3 second latency gap between Binance and Polymarket, ran 98%+ win rate across tens of thousands of trades, and turned $313 into $2.38 million with military-grade risk management. The same principle MoonDev below is showing with Claude Opus 4.6: pure math (proprietary MACD filters, strict incubation phase) instead of emotional gambling in those lightning-fast contracts. Manual trading against machines like these is suicide in 2026. Save this post. The gap between printing money and getting completely wrecked has never been this obvious.

227,788 次观看 • 2 个月前

ChatGPT 5.5 is cooked. Claude Opus 4.7 is cooked. Every $420/mo SaaS AI just got an open-source assassin. Mind blown: an open-source desktop AI just hit #7 trending overnight, runs 100% on your laptop, ships with 100+ native integrations, and is quietly killing the entire ChatGPT-subscription era. Introducing OpenHuman by tinyhumansai -> your Personal AI super intelligence. Private. Simple. Powerful. Two weeks ago they quietly dropped it on GitHub. Today: 300+ stars, 100+ daily paying users, 1,129 commits, zero marketing budget. > What is OpenHuman? A native desktop agent (macOS, Windows, Linux) that lives on YOUR machine instead of feeding your data back to OpenAI. Download the app, sign in once, and the agent harness gives you 100+ native connectors out of the box: Gmail, Slack, Notion, GitHub, Reddit, Instagram, Calendar, Drive, Telegram, Discord, and dozens more. One click each. From that moment it builds an encrypted, on-device knowledge base of your entire digital life. No terminal. No Python envs. No API keys. No CLI. > What the agent actually does: Steven, the creator, just dropped a Loom showing real prompts: - "Send Mark a joke" -> drafts in your voice and ships it. - "List my top 5 emails today" -> surfaces what matters from a flooded inbox. - "Summarize that thread and email it to the team" -> done in 3 seconds. One prompt --> multiple connected tools --> end-to-end execution. No tab-switching. > What's actually inside: - Screen intelligence -> the agent SEES what's on your screen and feeds it into your local context. - Memory-aware keyboard autocomplete -> system-wide, in YOUR voice, trained on YOUR past replies. Gmail Smart Compose for your entire OS. - Local knowledge base -> every email, message, and note parsed, embedded, encrypted, on YOUR device. Day 30 it knows you better than your therapist. - 75% Rust core -> memory-safe, brutally fast, runs local AI directly on your machine. > The "but wait" moment: OpenClaw and Hermes Agent are excellent. But they live in the terminal. Virtualenvs. SKILL.md files. Shell debugging at 2am. OpenHuman doesn't ask any of that. Their README compares itself to "The Tet" from Oblivion -- that alien superintelligence Morgan Freeman calls "a brilliant machine". And tomorrow they're dropping the official OpenHuman mascot. Sneak peek already in Steven's Loom. The cloud-first AI decade is ending. OpenHuman is GPL-3, fully auditable, shipping a release every few days. Save this -- you just got the link to the thing replacing every SaaS AI on the market. -> Repo:

ChatGPT 5.5 is cooked. Claude Opus 4.7 is cooked. Every $420/mo SaaS AI just got an open-source assassin. Mind blown: an open-source desktop AI just hit #7 trending overnight, runs 100% on your laptop, ships with 100+ native integrations, and is quietly killing the entire ChatGPT-subscription era. Introducing OpenHuman by tinyhumansai -> your Personal AI super intelligence. Private. Simple. Powerful. Two weeks ago they quietly dropped it on GitHub. Today: 300+ stars, 100+ daily paying users, 1,129 commits, zero marketing budget. > What is OpenHuman? A native desktop agent (macOS, Windows, Linux) that lives on YOUR machine instead of feeding your data back to OpenAI. Download the app, sign in once, and the agent harness gives you 100+ native connectors out of the box: Gmail, Slack, Notion, GitHub, Reddit, Instagram, Calendar, Drive, Telegram, Discord, and dozens more. One click each. From that moment it builds an encrypted, on-device knowledge base of your entire digital life. No terminal. No Python envs. No API keys. No CLI. > What the agent actually does: Steven, the creator, just dropped a Loom showing real prompts: - "Send Mark a joke" -> drafts in your voice and ships it. - "List my top 5 emails today" -> surfaces what matters from a flooded inbox. - "Summarize that thread and email it to the team" -> done in 3 seconds. One prompt --> multiple connected tools --> end-to-end execution. No tab-switching. > What's actually inside: - Screen intelligence -> the agent SEES what's on your screen and feeds it into your local context. - Memory-aware keyboard autocomplete -> system-wide, in YOUR voice, trained on YOUR past replies. Gmail Smart Compose for your entire OS. - Local knowledge base -> every email, message, and note parsed, embedded, encrypted, on YOUR device. Day 30 it knows you better than your therapist. - 75% Rust core -> memory-safe, brutally fast, runs local AI directly on your machine. > The "but wait" moment: OpenClaw and Hermes Agent are excellent. But they live in the terminal. Virtualenvs. SKILL.md files. Shell debugging at 2am. OpenHuman doesn't ask any of that. Their README compares itself to "The Tet" from Oblivion -- that alien superintelligence Morgan Freeman calls "a brilliant machine". And tomorrow they're dropping the official OpenHuman mascot. Sneak peek already in Steven's Loom. The cloud-first AI decade is ending. OpenHuman is GPL-3, fully auditable, shipping a release every few days. Save this -- you just got the link to the thing replacing every SaaS AI on the market. -> Repo:

70,023 次观看 • 25 天前

ANTHROPIC IS PREPARING TO RELEASE CLAUDE RS - AN AUTOMATED TRADING BOT FOR POLYMARKET Having already automated S&P500 and SPX trading , the company is now making its move into the crypto space. One standout case: a Polymarket bot that grew $1.98 into $1,031,000 over just 4 months. The account behind -> [BoneReader]: -> Mirror its trades like Claude does here: Just add his wallet and start earning: 0xd84c2b6d65dc596f49c7b6aadd6d74ca91e407b9 Here's the breakdown of how it operates: // --> The system tracks hundreds of wallets around the clock. --> It analyzes win rates, entry timing, and position sizing. --> Small test trades are run to identify the most effective strategy. --> Everything is executed automatically with pre-set SL and TP levels. // This is exactly why AI is no longer optional in 2026. Markets move at a pace no human can keep up with and I've been saying this for weeks ngl. Your real advantage lies in speed, deep analysis, and flawless execution. Anyone still trading manually will find their edge gone within months. This is where everything is headed imo. Manual trading is most likely dead and it's not coming back. Like, comment, retweet and I'll drop you an open GitHub link to a similar bot that helped me pull in $2,660 in just 5 days. Follow me so I can DM you directly. Also don't forget to SAVE THIS ALPHA.

ANTHROPIC IS PREPARING TO RELEASE CLAUDE RS - AN AUTOMATED TRADING BOT FOR POLYMARKET Having already automated S&P500 and SPX trading , the company is now making its move into the crypto space. One standout case: a Polymarket bot that grew $1.98 into $1,031,000 over just 4 months. The account behind -> [BoneReader]: -> Mirror its trades like Claude does here: Just add his wallet and start earning: 0xd84c2b6d65dc596f49c7b6aadd6d74ca91e407b9 Here's the breakdown of how it operates: // --> The system tracks hundreds of wallets around the clock. --> It analyzes win rates, entry timing, and position sizing. --> Small test trades are run to identify the most effective strategy. --> Everything is executed automatically with pre-set SL and TP levels. // This is exactly why AI is no longer optional in 2026. Markets move at a pace no human can keep up with and I've been saying this for weeks ngl. Your real advantage lies in speed, deep analysis, and flawless execution. Anyone still trading manually will find their edge gone within months. This is where everything is headed imo. Manual trading is most likely dead and it's not coming back. Like, comment, retweet and I'll drop you an open GitHub link to a similar bot that helped me pull in $2,660 in just 5 days. Follow me so I can DM you directly. Also don't forget to SAVE THIS ALPHA.

154,026 次观看 • 2 个月前

Another quiet Polymarket account just quietly turned $62 into $721,000. Almost nobody is talking about it. The trader’s profile is Careful. I reverse-engineered his exact strategy and asked Claude to build an identical bot using the same edge. One solid prompt + 50 minutes later and it was live. The opportunity is straightforward: Polymarket updates BTC contract prices slower than real market feeds. -> The bot pulls live BTC predictions from TradingView + CryptoQuant -> It instantly spots when Polymarket lags by more than 0.3% -> Executes in under 100 ms before the market corrects -> Handles 1,000+ orders per second and captures 0.3–0.8% per trade Risk is tightly controlled: 0.5% per trade with a strict 2% daily cap. It prints a clean $400–700 every single day. Runs 100% locally - no cloud, no GPU required. Written in Rust for maximum speed. Also john f pitha shows full stats for every trader - so you know exactly who you're following. Data first. Action second. Profile and copy-trading him: Save him.

153,518 次观看 • 2 个月前

BREAKING: LLMs just learned to COMPUTE for real, it's mean NO MORE GUESSING math. Chinese college kid Guo Hanjiang vibe-coded MiroFish in 10 days (23k+ GitHub stars, $4.1M from Shanda in 24h) - the AI swarm simulator that’s already printing. ByteDance (VolcEngine) dropped the nuclear upgrade: OpenViking - structured viking:// filesystem memory (L0 ultra-summary -> L2 full details) - agents now run 100+ steps with zero amnesia or hallucinations, 11.6k stars and climbing. Now this just dropped and the entire AI timeline is shaking. Startup Percepta embedded a full WASM virtual machine directly into Transformer weights. No more external Python sandboxes. No more hallucinations in exact tasks. The model streams raw machine code at 30,000+ tokens/sec on CPU, executes millions of steps, and solves the world’s hardest Sudoku via real backtracking + constraint propagation - 100% accurate, zero bullshit. They killed the Attention Bottleneck with Exponentially Fast Attention (HullKVCache + 2D heads + convex hull queries in log time). What used to die at 1k steps now flies. This is the bridge: System 1 intuition (normal LLMs) + System 2 deterministic logic (native code execution) in ONE brain. Agents won’t need tools anymore. Heavy simulations will run inside the weights. Check out: Now put it all together: MiroFish swarms + OpenViking infinite memory + Percepta native flawless compute = agents that can hardcore simulate millions of future scenarios, run perfect logic loops for days, and predict events/markets/reality with god-tier accuracy. No drift. No bullshit. Just pure foresight. This combo will change everything, imo. The era of predictive super-agents that actually print the future is here. We’re watching this one closely. Save this combo.

BREAKING: LLMs just learned to COMPUTE for real, it's mean NO MORE GUESSING math. Chinese college kid Guo Hanjiang vibe-coded MiroFish in 10 days (23k+ GitHub stars, $4.1M from Shanda in 24h) - the AI swarm simulator that’s already printing. ByteDance (VolcEngine) dropped the nuclear upgrade: OpenViking - structured viking:// filesystem memory (L0 ultra-summary -> L2 full details) - agents now run 100+ steps with zero amnesia or hallucinations, 11.6k stars and climbing. Now this just dropped and the entire AI timeline is shaking. Startup Percepta embedded a full WASM virtual machine directly into Transformer weights. No more external Python sandboxes. No more hallucinations in exact tasks. The model streams raw machine code at 30,000+ tokens/sec on CPU, executes millions of steps, and solves the world’s hardest Sudoku via real backtracking + constraint propagation - 100% accurate, zero bullshit. They killed the Attention Bottleneck with Exponentially Fast Attention (HullKVCache + 2D heads + convex hull queries in log time). What used to die at 1k steps now flies. This is the bridge: System 1 intuition (normal LLMs) + System 2 deterministic logic (native code execution) in ONE brain. Agents won’t need tools anymore. Heavy simulations will run inside the weights. Check out: Now put it all together: MiroFish swarms + OpenViking infinite memory + Percepta native flawless compute = agents that can hardcore simulate millions of future scenarios, run perfect logic loops for days, and predict events/markets/reality with god-tier accuracy. No drift. No bullshit. Just pure foresight. This combo will change everything, imo. The era of predictive super-agents that actually print the future is here. We’re watching this one closely. Save this combo.

156,699 次观看 • 2 个月前

Just built a bot that first runs hyper-realistic MiroFish swarm simulations on every upcoming Bitcoin and crypto event. And then agent instantly trades the real live markets on Polymarket, already printing $12,000+ per day in testing. Couldn't hold back after diving into MiroFish. Took the new god-tier agent behavior simulator from that Chinese college quant who coded it in 10 days, exploded GitHub to 23k+ stars and bagged $4.1M from Shanda overnight.. Paired it with OpenClaw (24/7 autonomous execution) + Claude Opus 4.6. And in one day built my first version of private Polymarket bot. Now it: -> spawns thousands of agents with real memory and personalities -> runs full GraphRAG swarm simulations modeling exactly how news, ETF flows, macro data, whale activity and sentiment will move Bitcoin price -> simulates thousands of possible futures specifically for Polymarket Bitcoin contracts -> detects where the crowd probability is mispriced on every crypto market and extracts the real edge -> auto-trades the edges instantly through OpenClaw the moment the opportunity appears Testing the bot + MiroFish based simulator live right now. First runs already printing hard. Meanwhile there's a real trader crushing with a similar stack imo, $321k all-time profit and 12k/day, 100% won on Bitcoin markets. Wallet: My own Polymarket profile + full trade logs drop later once I scale it hard. New meta just dropped, don't miss out! Check the guide and all info below.

114,880 次观看 • 2 个月前

Claude Code's full source code just leaked via a .map file in their npm registry. Direct link: One guy already backed it up on GitHub. Repo:

Claude Code's full source code just leaked via a .map file in their npm registry. Direct link: One guy already backed it up on GitHub. Repo:

90,406 次观看 • 2 个月前

me realizing that with MiroFish from the Chinese college kid for agent simulations + OpenViking from ByteDance for infinite AI memory + this new Percepta startup that lets LLMs actually COMPUTE real math instead of guessing.. I can now build way more than just a $100k/month prediction bot, this combo is literally god-tier power and unlimited opportunity

me realizing that with MiroFish from the Chinese college kid for agent simulations + OpenViking from ByteDance for infinite AI memory + this new Percepta startup that lets LLMs actually COMPUTE real math instead of guessing.. I can now build way more than just a $100k/month prediction bot, this combo is literally god-tier power and unlimited opportunity

88,962 次观看 • 2 个月前

An Anthropic researcher sat down next to me at a hackathon last week. Claude Opus 4.7 was running 4 agents on my laptop. Live. No manual input. She looked at the terminal and said: "What is this?" I showed her. 4 agents. 678 trades. 81% win rate. $16,200 last 30 days. She worked on the evals team. She'd never seen Claude pointed at 88 million on-chain trades. The setup is 3 public repos. All free. -> 88 million Polymarket trades. Every wallet. Every entry. Every exit. Every resolution. -> the framework that bridges Claude Opus 4.7 directly to live markets. Order placement, position tracking, exit timing. -> real-time WebSocket order book. Depth on both sides. No polling, no lag. Four agents. One loop. Agent 1 identifies which wallets win consistently across 88 million trades. Agent 2 reverse-engineers their entry timing. Agent 3 monitors order book volume spikes. Agent 4 sizes positions using Kelly. No overbet. Drawdown capped at 1.4% over 678 trades. 85% of windows get killed. No trade. The bot only enters when 3 signals align: -> Elite wallet consensus pointing the same direction. -> Price divergence with Binance and Coinbase both agreeing. -> Order book imbalance confirming the bias. Single-source price data was 57% accurate. All three together: 81%. Exit before resolution. Always. Losers hold to 0 or $1. The agents copy their exits. The agents don't gamble on that. My stack: Claude Opus 4.7 at $19/mo, VPS Hetzner at $4.99/mo, Everything else free. Total stats: $23.99/month. 30 days: 678 trades, 81% win rate, net +$16,200, max drawdown -1.2%, avg hold 4h 12m. She asked if Anthropic could test this internally. "We run Claude on benchmarks and evals. Nobody pointed it at a live market dataset with 88 million rows." Claude Opus 4.7 didn't need a system prompt. It read the wallet index, understood the signal structure, and wrote the combiner logic in one pass. The people who built the model hadn't thought to point it at this data. I had. Copy the live trades: -> all 4 agents run 24/7. The window is open right now. Save this, follow me and comment OPUS. I will send the guide to you.

An Anthropic researcher sat down next to me at a hackathon last week. Claude Opus 4.7 was running 4 agents on my laptop. Live. No manual input. She looked at the terminal and said: "What is this?" I showed her. 4 agents. 678 trades. 81% win rate. $16,200 last 30 days. She worked on the evals team. She'd never seen Claude pointed at 88 million on-chain trades. The setup is 3 public repos. All free. -> 88 million Polymarket trades. Every wallet. Every entry. Every exit. Every resolution. -> the framework that bridges Claude Opus 4.7 directly to live markets. Order placement, position tracking, exit timing. -> real-time WebSocket order book. Depth on both sides. No polling, no lag. Four agents. One loop. Agent 1 identifies which wallets win consistently across 88 million trades. Agent 2 reverse-engineers their entry timing. Agent 3 monitors order book volume spikes. Agent 4 sizes positions using Kelly. No overbet. Drawdown capped at 1.4% over 678 trades. 85% of windows get killed. No trade. The bot only enters when 3 signals align: -> Elite wallet consensus pointing the same direction. -> Price divergence with Binance and Coinbase both agreeing. -> Order book imbalance confirming the bias. Single-source price data was 57% accurate. All three together: 81%. Exit before resolution. Always. Losers hold to 0 or $1. The agents copy their exits. The agents don't gamble on that. My stack: Claude Opus 4.7 at $19/mo, VPS Hetzner at $4.99/mo, Everything else free. Total stats: $23.99/month. 30 days: 678 trades, 81% win rate, net +$16,200, max drawdown -1.2%, avg hold 4h 12m. She asked if Anthropic could test this internally. "We run Claude on benchmarks and evals. Nobody pointed it at a live market dataset with 88 million rows." Claude Opus 4.7 didn't need a system prompt. It read the wallet index, understood the signal structure, and wrote the combiner logic in one pass. The people who built the model hadn't thought to point it at this data. I had. Copy the live trades: -> all 4 agents run 24/7. The window is open right now. Save this, follow me and comment OPUS. I will send the guide to you.

46,082 次观看 • 1 个月前

This Russian mathematician from 1906 just dropped the cheat code that’s printing millions on Polymarket right now. Markov Chains aren’t some dusty theory - they’re exactly how the market actually works. Current price = the only state that matters. Past is already priced in. No ego, no anchoring, no career risk. Just pure, lightning-fast updates as new info hits. The smartest traders stopped "guessing" years ago. They read states and size up on the highest-probability outcomes. Exhibit A: [bobe2] -> one of the OGs on Polymarket (joined April 2023). > 1,317 predictions. > $7,500,000 positions. > $1,619,000+ all-time profit. He doesn’t chase moonshots. He stacks $7-8M on 97-99¢ obvious plays (FOMC, Biden term, Trump picks, Zelensky, BTC reserve). Classic Markov execution: the current state already contains everything. He just capitalizes. His profile -> This is how the real quants own Polymarket. Want the exact same edge without staring at charts 24/7? Copy him + the rest of the top Markov whales automatically with Just add his wallet [0xed107a85a4585a381e48c7f7ca4144909e7dd2e5] here and track/copy him. Stop guessing the future. Start copying the states that are already winning. Save him and this alpha at all.

53,940 次观看 • 1 个月前

CHINESE ENGINEERS JUST WROTE CLAUDE SCRIPT AND TURNED $6.02 INTO $3.3 MILLION ON POLYMARKET Nobody tells you about them and you still think this is a person placing bets manually I guess. Let me disappoint you, this is a fully automated script built by Chinese engineers 100%. This is true. They called it PHANTOM X. It runs completely through Claude. Their account here: Result: $6.02 -> $3,354,000. Win rate 71%. Biggest win: $179,000 (single bet). I’m copying their trades here: (Just added their wallet to TG bot 0xee613b3fc183ee44f9da9c05f53e2da107e3debf, it's so easy) How the bot works: -> It simultaneously tracks thousands of sports markets on Polymarket and Kalshi. -> Finds discrepancies between the platforms. -> Enters positions faster than any human could imo. Just three strategies in one: -- Pairs Trading: the bot sees YES on the Rockets at $0.62 while NO is at $0.41. Total = $1.03 instead of $1.00. That’s a 3% risk-free profit. It enters automatically within milliseconds. -- Sentiment AI: scans Twitter (X) and news in real time. If something big breaks, it recalculates the probability in 2 seconds before the market reacts. -- Calendar + Volatility: 15–20 minutes before the game, volatility spikes. The bot takes positions early and closes after the first major move. Why sports is perfect? Sports O/U markets have clear paired contracts that should total exactly $1.00, but constant deviations create reliable arbitrage. This is exactly how [sovereign2013] built $3.35M. > A human physically cannot monitor 50+ markets at once, react in milliseconds, stay awake 24/7, avoid emotions after losses, and run Z-scores on 60 bars of data. > The bot does all of this in parallel without breaks. Manual trading is dying. The automation era has arrived. Start learning Claude now. If you’re interested in writing your own bot on Polymarket: Comment the word "BOT" Like and repost this post Follow me (so I can message you easly) And within 24 hours I will send you a full manual on how to build a bot that can earn $2,900+/month. Also SAVE this info and article.

CHINESE ENGINEERS JUST WROTE CLAUDE SCRIPT AND TURNED $6.02 INTO $3.3 MILLION ON POLYMARKET Nobody tells you about them and you still think this is a person placing bets manually I guess. Let me disappoint you, this is a fully automated script built by Chinese engineers 100%. This is true. They called it PHANTOM X. It runs completely through Claude. Their account here: Result: $6.02 -> $3,354,000. Win rate 71%. Biggest win: $179,000 (single bet). I’m copying their trades here: (Just added their wallet to TG bot 0xee613b3fc183ee44f9da9c05f53e2da107e3debf, it's so easy) How the bot works: -> It simultaneously tracks thousands of sports markets on Polymarket and Kalshi. -> Finds discrepancies between the platforms. -> Enters positions faster than any human could imo. Just three strategies in one: -- Pairs Trading: the bot sees YES on the Rockets at $0.62 while NO is at $0.41. Total = $1.03 instead of $1.00. That’s a 3% risk-free profit. It enters automatically within milliseconds. -- Sentiment AI: scans Twitter (X) and news in real time. If something big breaks, it recalculates the probability in 2 seconds before the market reacts. -- Calendar + Volatility: 15–20 minutes before the game, volatility spikes. The bot takes positions early and closes after the first major move. Why sports is perfect? Sports O/U markets have clear paired contracts that should total exactly $1.00, but constant deviations create reliable arbitrage. This is exactly how [sovereign2013] built $3.35M. > A human physically cannot monitor 50+ markets at once, react in milliseconds, stay awake 24/7, avoid emotions after losses, and run Z-scores on 60 bars of data. > The bot does all of this in parallel without breaks. Manual trading is dying. The automation era has arrived. Start learning Claude now. If you’re interested in writing your own bot on Polymarket: Comment the word "BOT" Like and repost this post Follow me (so I can message you easly) And within 24 hours I will send you a full manual on how to build a bot that can earn $2,900+/month. Also SAVE this info and article.

16,078 次观看 • 1 个月前

The best trader to copy on Polymarket right now -> $806,000 profit. I've been on Polymarket for a while now, and I've never seen anything like this. Meet [Sharky6999] - a trader who's made 27,299 predictions with an all-time profit of $806,390 and a win rate so consistent it looks like a cheat code. His edge? He sticks to one thing only, to crypto Up/Down markets. No politics, no sports, no noise. Just pure crypto direction plays. And in that lane alone, he's made 21,000+ predictions with a 99.5% win rate. The consistency on the chart tells the whole story -> steady climb, no blowups. His profile here: The best part, you can copy his trades automatically via just add his wallet 0x751a2b86cab503496efd325c8344e10159349ea1 No guessing. No research. Just follow the best trader on the platform. Save him here.

15,920 次观看 • 1 个月前

Polymarket just got mathematically robbed. Top 0.04% already took 70% of all the money ($3.7B) thanks to 4 formulas from this article below. Open the leaderboard and there he is. [0x8dxd]: $2,285,751 ALL-TIME profit. Joined Dec 2025. $41.2K biggest win. 31,570 predictions. Not luck. Not "feeling the market". This is a bot running strictly on Lunar’s formulas on autopilot: Formula 1 - Expected Value (When to Enter) Contract at 40¢, but your real probability assessment is 60% -> +20¢ edge per dollar. Claude calculates this in seconds. Formula 2 - Kelly Criterion (How Much to Bet) f = (p·b − q)/b* (Quarter Kelly - that's why he doesn't blow up and compounds without any emotion) Formula 3 - Bayesian Updating (How to Change Your Mind) P(H|E) = [P(E|H) × P(H)] / P(E) Instantly rebuilds probability on any news. Formula 4 - Log Returns (Real Profit Calculation) Regular arithmetic lies. Only log returns show the real picture. Scans 50+ markets at once, enters only 15-min BTC Up/Down with real edge (where [0x8dxd] prints +157%, +207%, +181%), sleeps the rest of the time. 87% of wallets are in the red. A few such bots take everything. And this guy didn't just write an article - he handed out the blueprint that's already working for [0x8dxd]. Don't want to code it yourself? Just copy this trader with You can runs exactly this system: the same 4 formulas + Claude + auto-copying top math. Add his wallet: 0x63ce342161250d705dc0b16df89036c8e5f9ba9a to [ and start track/copy him right now. 4 formulas from Wikipedia + Claude brain + Kreo execution = meta 2026. The math doesn't sleep. Your FOMO does. Save and use this.

Polymarket just got mathematically robbed. Top 0.04% already took 70% of all the money ($3.7B) thanks to 4 formulas from this article below. Open the leaderboard and there he is. [0x8dxd]: $2,285,751 ALL-TIME profit. Joined Dec 2025. $41.2K biggest win. 31,570 predictions. Not luck. Not "feeling the market". This is a bot running strictly on Lunar’s formulas on autopilot: Formula 1 - Expected Value (When to Enter) Contract at 40¢, but your real probability assessment is 60% -> +20¢ edge per dollar. Claude calculates this in seconds. Formula 2 - Kelly Criterion (How Much to Bet) f = (p·b − q)/b* (Quarter Kelly - that's why he doesn't blow up and compounds without any emotion) Formula 3 - Bayesian Updating (How to Change Your Mind) P(H|E) = [P(E|H) × P(H)] / P(E) Instantly rebuilds probability on any news. Formula 4 - Log Returns (Real Profit Calculation) Regular arithmetic lies. Only log returns show the real picture. Scans 50+ markets at once, enters only 15-min BTC Up/Down with real edge (where [0x8dxd] prints +157%, +207%, +181%), sleeps the rest of the time. 87% of wallets are in the red. A few such bots take everything. And this guy didn't just write an article - he handed out the blueprint that's already working for [0x8dxd]. Don't want to code it yourself? Just copy this trader with You can runs exactly this system: the same 4 formulas + Claude + auto-copying top math. Add his wallet: 0x63ce342161250d705dc0b16df89036c8e5f9ba9a to [ and start track/copy him right now. 4 formulas from Wikipedia + Claude brain + Kreo execution = meta 2026. The math doesn't sleep. Your FOMO does. Save and use this.

19,433 次观看 • 2 个月前

没有更多内容可加载