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We built a Polymarket execution engine. Here’s today’s output. 17 fills today. $118.40 P&L. 94% win rate. 19ms ping. 1,135 TPS. 5 routes running: POLY/KLSH. KLSH/POLY. POLY/PRED. PRED/KLSH. PRED/POLY. This is what 50,000 lines of code and 4 months of engineering looks like when it runs. We made it... show more

PolyArbiter

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120,340 次观看 • 4 个月前 •via X (Twitter)

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We spent 4 months building an engine arbitraging Polymarket faster than any Claude bot can sign an order. When the spread crosses the threshold both sides execute. 90ms. Jito atomic bundles. Both fill or nothing fills. The orderbook view shows live depth across venues. The heatmap shows execution density across every active market in real time. 4 months of engineering. This is what 50,000 lines of code looks like when it’s running. We made it free. Set your parameters and run.

We spent 4 months building an engine arbitraging Polymarket faster than any Claude bot can sign an order. When the spread crosses the threshold both sides execute. 90ms. Jito atomic bundles. Both fill or nothing fills. The orderbook view shows live depth across venues. The heatmap shows execution density across every active market in real time. 4 months of engineering. This is what 50,000 lines of code looks like when it’s running. We made it free. Set your parameters and run.

PolyArbiter

99,843 次观看 • 4 个月前

Stop building Claude bots. We’re serious. We spent 4 months and 50,000 lines of code building the infrastructure that every Claude tutorial pretends doesn’t matter. The strategy isn’t the problem. Everyone knows the strategy. Buy the spread. Capture the gap. The math is simple. The problem is execution. And no tutorial will give you that. We already built it. It’s free. Profit-sharing only. Stop building. Start using.

Stop building Claude bots. We’re serious. We spent 4 months and 50,000 lines of code building the infrastructure that every Claude tutorial pretends doesn’t matter. The strategy isn’t the problem. Everyone knows the strategy. Buy the spread. Capture the gap. The math is simple. The problem is execution. And no tutorial will give you that. We already built it. It’s free. Profit-sharing only. Stop building. Start using.

PolyArbiter

77,378 次观看 • 4 个月前

Forget the Claude bot. We turned 4 months of engineering into a single line of config. You don’t need to code. You don’t need to host. You don’t need to run a node. Plug our RPC into your Polymarket settings. Set your spread threshold. That’s it. The engine scans 12 venues 24/7. When YES + NO across two platforms drops below $1.00, it fires a Jito atomic bundle. Both legs fill in 90ms. Profit locks regardless of outcome. It’s free to use (Profit-sharing only) Setup takes 5 minutes. Runs forever.

Forget the Claude bot. We turned 4 months of engineering into a single line of config. You don’t need to code. You don’t need to host. You don’t need to run a node. Plug our RPC into your Polymarket settings. Set your spread threshold. That’s it. The engine scans 12 venues 24/7. When YES + NO across two platforms drops below $1.00, it fires a Jito atomic bundle. Both legs fill in 90ms. Profit locks regardless of outcome. It’s free to use (Profit-sharing only) Setup takes 5 minutes. Runs forever.

PolyArb

62,144 次观看 • 3 个月前

We built the ultimate arbitrage machine. it literally scans every prediction market into one single dashboard: > live tracking for spreads across Polymarket, Kalshi, Drift & 12+ platforms > real-time price feeds from every market > executes both sides in you profit no matter who wins > 24/7 automated scanning > free to use - we only take a cut when you profit while you're reading news and picking sides, this is running in the background. we didn't build a bot. we built infrastructure.

We built the ultimate arbitrage machine. it literally scans every prediction market into one single dashboard: > live tracking for spreads across Polymarket, Kalshi, Drift & 12+ platforms > real-time price feeds from every market > executes both sides in you profit no matter who wins > 24/7 automated scanning > free to use - we only take a cut when you profit while you're reading news and picking sides, this is running in the background. we didn't build a bot. we built infrastructure.

PolyArbiter

354,075 次观看 • 5 个月前

We found a flaw in Polymarket that can’t be patched. Then we built the most powerful bot of the World Cup around it. Here’s the flaw: their orderbook will always be slower than the pitch. When a goal, red card, or penalty hits, pro feeds (Sportradar, Opta, ScoutingFeed) register it in 200-500ms. Polymarket takes 2 to 8 seconds to reprice. For those few seconds the book is quoting a score that no longer exists. No amount of engineering closes that gap the event happens in the physical world before any oracle can confirm it on-chain. The engine detects the event, recalculates fair value, and fires via Jito bundles before the book catches up. In at the old price, out at the new. The match outcome is irrelevant we don’t bet on who wins. We capture the lag every event creates. We’ve been building Polymarket bots since 2025. This is the most powerful machine we’ve shipped yet. Two months ago we posted the architecture for this. It hit 1M views one of our most popular posts ever on X. That told us everything: this was the engine to build. First 7 days, - Starting balance: $5,000 - 22 matches scanned, 19 captured - Total profit: +$1,946.86 - ROI: +38.94% in 7 days Why it prints harder than anything we’ve built: the World Cup is the deepest liquidity event prediction markets have ever seen. Tens of millions in volume per match. Dozens of probability-shifting events per game. And an orderbook that physically can’t keep pace with the pitch. How to plug in: 1.Sign up at PolyArbiter (link in bio) 2.Generate PolyArbiter RPC URL 3.Paste it into Jupiter Predict (Polymarket but native on Solana) 4.Set your parameters, activate the World Cup module It’s free to use. We take a share of the profit the engine makes for you. You never deposit anything with us everything runs from your wallet. One honest note: the $1,946 above is our engine at our size and settings. Your numbers depend on your capital, your parameters, and how many matches you’re live for. We’re not promising you’ll match it we’re showing you the machine works, and handing you the same one. These numbers are from the engine running solo. Closed test, just us, before any public access wanted to confirm the whole loop held up end to end before handing it to anyone. That changes the second this goes public. Edge per capture is going to compress. When an event fires the mispriced liquidity is thin and gone in a few seconds more wallets hitting the same window, less left for each. Nothing we can do about it, that’s just how latency arb works. So if the edge thins out past the point where it’s still worth running, we cap access. Hard ceiling on how many engines can hit the same liquidity before it’s gone. Not gonna promise the machine stays this sharp in a few days it might not. But right now it’s live and free. Enjoy 🪄

We found a flaw in Polymarket that can’t be patched. Then we built the most powerful bot of the World Cup around it. Here’s the flaw: their orderbook will always be slower than the pitch. When a goal, red card, or penalty hits, pro feeds (Sportradar, Opta, ScoutingFeed) register it in 200-500ms. Polymarket takes 2 to 8 seconds to reprice. For those few seconds the book is quoting a score that no longer exists. No amount of engineering closes that gap the event happens in the physical world before any oracle can confirm it on-chain. The engine detects the event, recalculates fair value, and fires via Jito bundles before the book catches up. In at the old price, out at the new. The match outcome is irrelevant we don’t bet on who wins. We capture the lag every event creates. We’ve been building Polymarket bots since 2025. This is the most powerful machine we’ve shipped yet. Two months ago we posted the architecture for this. It hit 1M views one of our most popular posts ever on X. That told us everything: this was the engine to build. First 7 days, - Starting balance: $5,000 - 22 matches scanned, 19 captured - Total profit: +$1,946.86 - ROI: +38.94% in 7 days Why it prints harder than anything we’ve built: the World Cup is the deepest liquidity event prediction markets have ever seen. Tens of millions in volume per match. Dozens of probability-shifting events per game. And an orderbook that physically can’t keep pace with the pitch. How to plug in: 1.Sign up at PolyArbiter (link in bio) 2.Generate PolyArbiter RPC URL 3.Paste it into Jupiter Predict (Polymarket but native on Solana) 4.Set your parameters, activate the World Cup module It’s free to use. We take a share of the profit the engine makes for you. You never deposit anything with us everything runs from your wallet. One honest note: the $1,946 above is our engine at our size and settings. Your numbers depend on your capital, your parameters, and how many matches you’re live for. We’re not promising you’ll match it we’re showing you the machine works, and handing you the same one. These numbers are from the engine running solo. Closed test, just us, before any public access wanted to confirm the whole loop held up end to end before handing it to anyone. That changes the second this goes public. Edge per capture is going to compress. When an event fires the mispriced liquidity is thin and gone in a few seconds more wallets hitting the same window, less left for each. Nothing we can do about it, that’s just how latency arb works. So if the edge thins out past the point where it’s still worth running, we cap access. Hard ceiling on how many engines can hit the same liquidity before it’s gone. Not gonna promise the machine stays this sharp in a few days it might not. But right now it’s live and free. Enjoy 🪄

PolyArbiter

100,534 次观看 • 1 个月前

Claude Bot on Polymarket — The truth nobody is telling you. The same setup that turned $1,000 into $1.5M. Everyone is trying to build this right now. Most will fail. We’ve been running it for months. Here’s what it actually takes. Full tutorial breakdown. Bookmark this so you don’t lose it.

Claude Bot on Polymarket — The truth nobody is telling you. The same setup that turned $1,000 into $1.5M. Everyone is trying to build this right now. Most will fail. We’ve been running it for months. Here’s what it actually takes. Full tutorial breakdown. Bookmark this so you don’t lose it.

PolyArbiter

130,607 次观看 • 4 个月前

Welcome to the 3D Layer of the Internet We are thrilled to share our latest features Prompt-to-3D engine and Scene Studio Your text based prompts and photos can now be transformed from simple concepts into fully-rendered, interactive 3D models. It parses complex topology, handles multi-view reconstruction, and even lets you restyle your model instantly with single-click filters like low-poly, voxel, and Voronoi shells. Within the all-new Scene Studio, you can construct immersive 3D environments that reflect your exact style. Position your assets in a full sandbox space, adjust advanced lighting and environment colors, and add the finishing touches with custom camera angles, fog settings, and real-time script parameters. This is the future of the open web. This is

Welcome to the 3D Layer of the Internet We are thrilled to share our latest features Prompt-to-3D engine and Scene Studio Your text based prompts and photos can now be transformed from simple concepts into fully-rendered, interactive 3D models. It parses complex topology, handles multi-view reconstruction, and even lets you restyle your model instantly with single-click filters like low-poly, voxel, and Voronoi shells. Within the all-new Scene Studio, you can construct immersive 3D environments that reflect your exact style. Position your assets in a full sandbox space, adjust advanced lighting and environment colors, and add the finishing touches with custom camera angles, fog settings, and real-time script parameters. This is the future of the open web. This is

three.ws

37,387 次观看 • 2 个月前

We built the cleanest BTC Up/Down bot on Polymarket. ⁠ We engineered the entire stack from scratch around one principle: never bet on outcomes, only capture mispricings. ⁠ How it works: When YES + NO sums to less than $1.00 on Polymarket’s 15-min BTC market, the engine fires both sides atomically via Jito bundles. Total cost: $0.97. At resolution, one side always pays $1.00. Locked profit: 3 cents per dollar deployed. ⁠ BTC’s direction is irrelevant. The math already paid. ⁠ We don’t predict. We capture. ⁠ Architecture: - Yellowstone gRPC at 1-5ms orderbook latency - Jito atomic bundles, both legs fill or neither does - 91ms median detection-to-fill 97.8% fill rate over 30 days - Auto-hedge engine for partial fills in 4.2s How to plug in: 1.Sign up at PolyArb (link in bio) 2.Copy PolyArb dedicated RPC URL from the dashboard 3. Open Jupiter Prediction Markets on Solana 4.Paste the RPC into Settings → Custom RPC 5.Activate the BTC Up/Down module Free to use. Profit-share only. No subscription. No upfront cost.

We built the cleanest BTC Up/Down bot on Polymarket. ⁠ We engineered the entire stack from scratch around one principle: never bet on outcomes, only capture mispricings. ⁠ How it works: When YES + NO sums to less than $1.00 on Polymarket’s 15-min BTC market, the engine fires both sides atomically via Jito bundles. Total cost: $0.97. At resolution, one side always pays $1.00. Locked profit: 3 cents per dollar deployed. ⁠ BTC’s direction is irrelevant. The math already paid. ⁠ We don’t predict. We capture. ⁠ Architecture: - Yellowstone gRPC at 1-5ms orderbook latency - Jito atomic bundles, both legs fill or neither does - 91ms median detection-to-fill 97.8% fill rate over 30 days - Auto-hedge engine for partial fills in 4.2s How to plug in: 1.Sign up at PolyArb (link in bio) 2.Copy PolyArb dedicated RPC URL from the dashboard 3. Open Jupiter Prediction Markets on Solana 4.Paste the RPC into Settings → Custom RPC 5.Activate the BTC Up/Down module Free to use. Profit-share only. No subscription. No upfront cost.

PolyArbiter

142,510 次观看 • 3 个月前

He brought Claude onto Polymarket, and in 3 weeks, made $390,000 Not some magical strategy Just taking a system and fully automating it The data is straightforward: Weekly revenue $151,843 Daily average $9,549 19,000+ trades Win rate 60% What he did can actually be broken down very clearly: First, use poly-MCP to turn Claude into a trading terminal Then connect GPT Researcher to let it find patterns and events on its own Use n8n for automated workflows Have Claude read the price differences between Polymarket and Coinbase Use Huginn to run 24/7 Then use Apprise for notifications Once the whole system is up and running, he barely needs to do any manual work Life goes on as usual, with the bot executing continuously in the background You'll notice one core point: This isn't about "more accurate predictions," but about "a more complete system" Signal → Scan → Judge → Execute → Monitor → Notify All connected seamlessly A 60% win rate isn't actually that high, but under 19,000+ executions, it turns into nearly $10K a day The question is here: Do you think he made this $390K because of the "strategy itself," or because of "turning trading into an automated system"? Giving This Free for 24 hours. To get it: 1. Comment the word 'PolyMarket' 2. Like and Retweet this post 3. Follow me Marry Evan (so i can DM you)

He brought Claude onto Polymarket, and in 3 weeks, made $390,000 Not some magical strategy Just taking a system and fully automating it The data is straightforward: Weekly revenue $151,843 Daily average $9,549 19,000+ trades Win rate 60% What he did can actually be broken down very clearly: First, use poly-MCP to turn Claude into a trading terminal Then connect GPT Researcher to let it find patterns and events on its own Use n8n for automated workflows Have Claude read the price differences between Polymarket and Coinbase Use Huginn to run 24/7 Then use Apprise for notifications Once the whole system is up and running, he barely needs to do any manual work Life goes on as usual, with the bot executing continuously in the background You'll notice one core point: This isn't about "more accurate predictions," but about "a more complete system" Signal → Scan → Judge → Execute → Monitor → Notify All connected seamlessly A 60% win rate isn't actually that high, but under 19,000+ executions, it turns into nearly $10K a day The question is here: Do you think he made this $390K because of the "strategy itself," or because of "turning trading into an automated system"? Giving This Free for 24 hours. To get it: 1. Comment the word 'PolyMarket' 2. Like and Retweet this post 3. Follow me Marry Evan (so i can DM you)

Marry Evan

28,791 次观看 • 3 个月前

The World Cup accidentally created one of the biggest edges we’ve ever seen on Polymarket. We’ve already captured $4,000+ since the tournament started, and Polymarket still can’t really do much about it. We don’t predict football. A goal, red card or penalty happens. Reality changes instantly. Sportradar sees it almost immediately, while Polymarket’s orderbook still needs a few more seconds to catch up. The bot buys stale prices before the market reprices, then exits. That’s the entire edge. We’ve been making our bots public since 2025. The World Cup module wasn’t going to be any different. It’s completely free to use, non-custodial, and we only make money if the bot makes you money (Profit-sharing) The World Cup has been the perfect environment for this strategy. We’ll probably miss it when it’s over. 🕯️

The World Cup accidentally created one of the biggest edges we’ve ever seen on Polymarket. We’ve already captured $4,000+ since the tournament started, and Polymarket still can’t really do much about it. We don’t predict football. A goal, red card or penalty happens. Reality changes instantly. Sportradar sees it almost immediately, while Polymarket’s orderbook still needs a few more seconds to catch up. The bot buys stale prices before the market reprices, then exits. That’s the entire edge. We’ve been making our bots public since 2025. The World Cup module wasn’t going to be any different. It’s completely free to use, non-custodial, and we only make money if the bot makes you money (Profit-sharing) The World Cup has been the perfect environment for this strategy. We’ll probably miss it when it’s over. 🕯️

PolyArbiter

84,054 次观看 • 1 个月前

Stanley Zhong had a 4.42 GPA, a 1590 SAT, and ranked in the top 1% of the USA Computing Olympiad (Platinum). He built a free e-signing platform, reached the semifinals of Google Code Jam, and placed 2nd in MIT’s Battlecode. Still, 15 of 18 colleges rejected him — including Stanford, MIT, Carnegie Mellon, and even Cal Poly. But numbers aside, what’s most striking is hearing from Stanley himself. In the clip below, you’ll see a thoughtful, humble young man who even admits he didn’t expect to get into every top school — but still thought the state schools were within reach. He’s not alone. Stories like this are surfacing everywhere. Students are asking: When did merit stop mattering? It’s time we start rewarding it.

Stanley Zhong had a 4.42 GPA, a 1590 SAT, and ranked in the top 1% of the USA Computing Olympiad (Platinum). He built a free e-signing platform, reached the semifinals of Google Code Jam, and placed 2nd in MIT’s Battlecode. Still, 15 of 18 colleges rejected him — including Stanford, MIT, Carnegie Mellon, and even Cal Poly. But numbers aside, what’s most striking is hearing from Stanley himself. In the clip below, you’ll see a thoughtful, humble young man who even admits he didn’t expect to get into every top school — but still thought the state schools were within reach. He’s not alone. Stories like this are surfacing everywhere. Students are asking: When did merit stop mattering? It’s time we start rewarding it.

Alumni Free Speech Alliance

12,497,273 次观看 • 1 年前

We found a way to make money on every World Cup match without predicting a single result. How it works: A goal, red card, or penalty hits the pitch. Pro feeds (Sportradar) register it in 200ms. Polymarket’s orderbook takes 2-8 seconds to reprice. For those few seconds, the price is still showing the old score. The bot buys at that stale price, then sells once the book catches up. Match outcome is irrelevant. Honestly this might be one of the most powerful bots we’ve ever built. And it’s because of the World Cup liquidity. The tournament basically built the perfect conditions for this bot. How to plug in: 1.Sign up at PolyArb (link in bio) 2.Copy PolyArb dedicated RPC URL from the dashboard 3. Open Jupiter Predict (Polymarket but native on Solana) 4.Paste the RPC into Settings → Custom RPC 5.Activate the World Cup module ⚽️ Free to use. Profit-share only.

We found a way to make money on every World Cup match without predicting a single result. How it works: A goal, red card, or penalty hits the pitch. Pro feeds (Sportradar) register it in 200ms. Polymarket’s orderbook takes 2-8 seconds to reprice. For those few seconds, the price is still showing the old score. The bot buys at that stale price, then sells once the book catches up. Match outcome is irrelevant. Honestly this might be one of the most powerful bots we’ve ever built. And it’s because of the World Cup liquidity. The tournament basically built the perfect conditions for this bot. How to plug in: 1.Sign up at PolyArb (link in bio) 2.Copy PolyArb dedicated RPC URL from the dashboard 3. Open Jupiter Predict (Polymarket but native on Solana) 4.Paste the RPC into Settings → Custom RPC 5.Activate the World Cup module ⚽️ Free to use. Profit-share only.

PolyArbiter

132,598 次观看 • 1 个月前

I gave ClawdBot a 2-page spec and said build it. 47 minutes later I had a full arbitrage system running on Polymarket. The edge is simple. Polymarket prices BTC markets using Chainlink oracle - updates every 500ms. Binance spot updates every 10ms. That's a 490ms window where Polymarket doesn't know what Binance already knows. > BTC pumps to $67,520 on Binance. > Polymarket still shows $67,450, Spread: 2.3%. > Bot buys YES at 48¢. > Market resolves. +$520. The spec had 5 layers - data ingestion, research agents, signal generation, risk management, execution. Clawdbot read it once, built all 5. Deployed to AWS Lambda. I never wrote a single line of code. Results: 74% win rate $18.40 avg profit per trade 3.2% max drawdown $157,000 all-time Wallet with result: The prompt was one sentence: "Build me a full agentic system for Polymarket 5-min BTC arbitrage using this specification." Clawdbot did the rest.

I gave ClawdBot a 2-page spec and said build it. 47 minutes later I had a full arbitrage system running on Polymarket. The edge is simple. Polymarket prices BTC markets using Chainlink oracle - updates every 500ms. Binance spot updates every 10ms. That's a 490ms window where Polymarket doesn't know what Binance already knows. > BTC pumps to $67,520 on Binance. > Polymarket still shows $67,450, Spread: 2.3%. > Bot buys YES at 48¢. > Market resolves. +$520. The spec had 5 layers - data ingestion, research agents, signal generation, risk management, execution. Clawdbot read it once, built all 5. Deployed to AWS Lambda. I never wrote a single line of code. Results: 74% win rate $18.40 avg profit per trade 3.2% max drawdown $157,000 all-time Wallet with result: The prompt was one sentence: "Build me a full agentic system for Polymarket 5-min BTC arbitrage using this specification." Clawdbot did the rest.

Lunar

47,895 次观看 • 5 个月前

WTF, THIS CHINESE FOUNDER RUNS HIS $10,000+ STARTUP'S ENTIRE WORKFLOW THROUGH HERMES AGENT ON FOUR MACHINES SIMULTANEOUSLY A studio founder just broke down why Hermes is different from every other AI tool right now: → Long-term memory. Most LLMs forget everything after the chat ends. Hermes remembers your work habits and gets sharper the more you use it. → Real execution, not suggestions. This is the core difference from Claude. Claude tells you what to do – you still do it. Hermes takes the instruction and finishes the task itself. → Scheduled tasks that just work. No complicated setup. Set the plan once, it runs on its own. This is what actual "hands-off" looks like. He's not running this on one machine. He's got FOUR laptops running Hermes simultaneously – each one handling a different part of his workflow at the same time. This is what it looks like when one person operates like a full team. He's dropping a full workflow build tutorial next – built for founders and operators trying to lighten their workload. Bookmark this, you'll want to come back to it later.

WTF, THIS CHINESE FOUNDER RUNS HIS $10,000+ STARTUP'S ENTIRE WORKFLOW THROUGH HERMES AGENT ON FOUR MACHINES SIMULTANEOUSLY A studio founder just broke down why Hermes is different from every other AI tool right now: → Long-term memory. Most LLMs forget everything after the chat ends. Hermes remembers your work habits and gets sharper the more you use it. → Real execution, not suggestions. This is the core difference from Claude. Claude tells you what to do – you still do it. Hermes takes the instruction and finishes the task itself. → Scheduled tasks that just work. No complicated setup. Set the plan once, it runs on its own. This is what actual "hands-off" looks like. He's not running this on one machine. He's got FOUR laptops running Hermes simultaneously – each one handling a different part of his workflow at the same time. This is what it looks like when one person operates like a full team. He's dropping a full workflow build tutorial next – built for founders and operators trying to lighten their workload. Bookmark this, you'll want to come back to it later.

SCOTTY BEAM

11,654 次观看 • 1 个月前

$🚨 STUDY POLYMARKET ARBITRAGE This wallet made $20,000+ profit in just 2 months. While biggest single win is only $1,535. Read that again. Because the gap between those two numbers is the whole lesson. If your biggest win is $1,500 but your total profit is twenty grand, you didn't get lucky once. You won small, over and over and over. That is a pair-sum arb machine running on the simplest concept. Enter, resolve, exit, repeat. Almost 1,900 times. The PnL chart tells the rest of the story. Flat for months, then a clean takeoff. This guy was grinding and building until the system worked, then letting it run. His profile: [ This is what small-edge trading actually looks like on Polymarket. Just a tiny repeatable edge captured thousands of times until the law of large numbers does the heavy lifting. This is exactly the shape of arbitrage and sweeper strategies. Buy both sides when they misprice below a dollar. Sit in the queue and collect the last fraction of a cent before resolution. Each trade barely moves the needle. Stacked at volume, they print. Most people chase the one big win. They want the 50x longshot, the perfect call and a nice screenshot. The wallets that actually compound do the opposite. They find an edge worth a few cents and run it until it becomes twenty thousand dollars. The dev behind this wallet published a full public guide on how the infrastructure works. Leaving it quoted below so you can understand the logic. Good luck.$

🚨 STUDY POLYMARKET ARBITRAGE This wallet made $20,000+ profit in just 2 months. While biggest single win is only $1,535. Read that again. Because the gap between those two numbers is the whole lesson. If your biggest win is $1,500 but your total profit is twenty grand, you didn't get lucky once. You won small, over and over and over. That is a pair-sum arb machine running on the simplest concept. Enter, resolve, exit, repeat. Almost 1,900 times. The PnL chart tells the rest of the story. Flat for months, then a clean takeoff. This guy was grinding and building until the system worked, then letting it run. His profile: [ This is what small-edge trading actually looks like on Polymarket. Just a tiny repeatable edge captured thousands of times until the law of large numbers does the heavy lifting. This is exactly the shape of arbitrage and sweeper strategies. Buy both sides when they misprice below a dollar. Sit in the queue and collect the last fraction of a cent before resolution. Each trade barely moves the needle. Stacked at volume, they print. Most people chase the one big win. They want the 50x longshot, the perfect call and a nice screenshot. The wallets that actually compound do the opposite. They find an edge worth a few cents and run it until it becomes twenty thousand dollars. The dev behind this wallet published a full public guide on how the infrastructure works. Leaving it quoted below so you can understand the logic. Good luck.

Punisher

11,314 次观看 • 2 个月前

🚨 JAY LENO JUST PULLED UP IN A CAR THAT RUNS ON PERFUME OR TEQUILA — AND IT SOUNDS LIKE A GIANT VACUUM Jay Leno just rolled up in one of the strangest cars ever built: the 1963 Chrysler Turbine Car, with bodies hand-built by Ghia in Italy. Instead of a normal piston engine, it uses a jet-style turbine. And when it starts up, it doesn’t rumble like a V8. It sounds like a giant vacuum cleaner spooling up. Then Leno shows the part that catches everyone off guard first. He puts a bottle of water on the engine while it’s running… and it barely ripples. Almost no vibration at all while the turbine spins. Then he explains why this car is so bizarre. The engine is designed to run on almost anything that burns: • Diesel • Kerosene • Jet fuel • Heating oil • Cooking oil Leno says when Chrysler took the car to Mexico, they ran it on tequila. When they brought it to France, they filled the tank with Chanel No.5 perfume. Only 9 of these Chrysler Turbine Cars are believed to still exist today. If your car could run on almost anything that burns... what would you try putting in the tank first?

🚨 JAY LENO JUST PULLED UP IN A CAR THAT RUNS ON PERFUME OR TEQUILA — AND IT SOUNDS LIKE A GIANT VACUUM Jay Leno just rolled up in one of the strangest cars ever built: the 1963 Chrysler Turbine Car, with bodies hand-built by Ghia in Italy. Instead of a normal piston engine, it uses a jet-style turbine. And when it starts up, it doesn’t rumble like a V8. It sounds like a giant vacuum cleaner spooling up. Then Leno shows the part that catches everyone off guard first. He puts a bottle of water on the engine while it’s running… and it barely ripples. Almost no vibration at all while the turbine spins. Then he explains why this car is so bizarre. The engine is designed to run on almost anything that burns: • Diesel • Kerosene • Jet fuel • Heating oil • Cooking oil Leno says when Chrysler took the car to Mexico, they ran it on tequila. When they brought it to France, they filled the tank with Chanel No.5 perfume. Only 9 of these Chrysler Turbine Cars are believed to still exist today. If your car could run on almost anything that burns... what would you try putting in the tank first?

HustleBitch

868,221 次观看 • 4 个月前

A trader built a QUANT bot using Claude Fable 5. Result: $81,323 profit on Polymarket. 25,511 predictions in 54 days. 46% win rate. $1,506 per day on average. The strategy is surprisingly simple: 1. Fast market-making model focused on short crypto Up/Down markets 2. No need for both sides at once. System accumulates one side when prices dislocate, then completes the position when the opposite side gets cheap 3. Edge comes from temporal arbitrage + partial hedging + constant inventory rotation across nearby windows Biggest winning trades: $1,277 → $2,516 (+$1,239 profit | 97% gain) $1,059 → $2,205 (+$1,146 profit | 108% gain) $1,372 → $2,487 (+$1,115 profit | 81% gain) The entire profit curve is built on one small edge repeated thousands of times. This is not about predicting the market. This is about reading price dislocations faster than everyone else and exploiting the gap before it closes. The system runs autonomous: → Claude handles decision logic → Monitors crypto markets 24/7 → Executes when arbitrage windows open → Rotates inventory continuously No emotions. No guessing. Just math and execution speed. 💡 I'm sharing the complete Claude prompt and workflow behind this QUANT bot. Free for 24 hours. To get it: 1️⃣ Comment the word "Fable" 2️⃣ Like and Repost 3️⃣ Follow Himanshu Kumar I'll DM you the setup.

A trader built a QUANT bot using Claude Fable 5. Result: $81,323 profit on Polymarket. 25,511 predictions in 54 days. 46% win rate. $1,506 per day on average. The strategy is surprisingly simple: 1. Fast market-making model focused on short crypto Up/Down markets 2. No need for both sides at once. System accumulates one side when prices dislocate, then completes the position when the opposite side gets cheap 3. Edge comes from temporal arbitrage + partial hedging + constant inventory rotation across nearby windows Biggest winning trades: $1,277 → $2,516 (+$1,239 profit | 97% gain) $1,059 → $2,205 (+$1,146 profit | 108% gain) $1,372 → $2,487 (+$1,115 profit | 81% gain) The entire profit curve is built on one small edge repeated thousands of times. This is not about predicting the market. This is about reading price dislocations faster than everyone else and exploiting the gap before it closes. The system runs autonomous: → Claude handles decision logic → Monitors crypto markets 24/7 → Executes when arbitrage windows open → Rotates inventory continuously No emotions. No guessing. Just math and execution speed. 💡 I'm sharing the complete Claude prompt and workflow behind this QUANT bot. Free for 24 hours. To get it: 1️⃣ Comment the word "Fable" 2️⃣ Like and Repost 3️⃣ Follow Himanshu Kumar I'll DM you the setup.

Himanshu Kumar

860,025 次观看 • 14 天前

Someone built Kubernetes that runs entirely in your browser. This might be the easiest way to learn Kubernetes. - No Docker. - No Minikube. - No Kind. - No EKS. - No installation. Just open a webpage and start exploring Pods, Deployments, ReplicaSets, Nodes, scheduling, networking, and more. The engineering behind it is incredible. Kubernetes is written in Go, but instead of compiling it to the browser, the developer rewrote major Kubernetes components in TypeScript so they could run natively inside the browser. This is one of the best examples of using AI I've seen. AI helped port thousands of lines of Kubernetes code, while the developer manually reviewed everything and validated it with extensive tests to make sure it behaves like a real cluster. ⚠️ It's not for running production workloads. It's built for learning, teaching, experimenting, and preparing for DevOps interviews. Imagine onboarding new engineers or teaching Kubernetes without asking everyone to spend an hour installing Docker, configuring Minikube, or creating an EKS cluster. I genuinely think projects like this will change how we learn infrastructure. Interactive labs > Static documentation. Blog Post:

Someone built Kubernetes that runs entirely in your browser. This might be the easiest way to learn Kubernetes. - No Docker. - No Minikube. - No Kind. - No EKS. - No installation. Just open a webpage and start exploring Pods, Deployments, ReplicaSets, Nodes, scheduling, networking, and more. The engineering behind it is incredible. Kubernetes is written in Go, but instead of compiling it to the browser, the developer rewrote major Kubernetes components in TypeScript so they could run natively inside the browser. This is one of the best examples of using AI I've seen. AI helped port thousands of lines of Kubernetes code, while the developer manually reviewed everything and validated it with extensive tests to make sure it behaves like a real cluster. ⚠️ It's not for running production workloads. It's built for learning, teaching, experimenting, and preparing for DevOps interviews. Imagine onboarding new engineers or teaching Kubernetes without asking everyone to spend an hour installing Docker, configuring Minikube, or creating an EKS cluster. I genuinely think projects like this will change how we learn infrastructure. Interactive labs > Static documentation. Blog Post:

Nandkishor

90,313 次观看 • 1 个月前

Anthropic Engineer: “the biggest mistake in AI right now is people are building graphs and loops without a self-improving eval agent. we made that mistake at anthropic. it cost us two years.” here’s how they built what solved it: step 1 → take 50 real user prompts and run your agent. if it passes 80%+, your eval is too easy. the sweet spot is around 50%. step 2 → every failed run becomes a transcript. feed it to haiku: “what went wrong?” your eval set keeps growing on its own. step 3 → score two things: the right answer and the right path. a right answer with the wrong path will break later. step 4 → when a new model drops, run the same eval again. one model looked 9% better. but 6% of that gain came from hiding a bug. the transcript caught it. the dashboard didn’t. step 5 → plug your evals into ci. no green evals = no deploy. that’s how the system keeps improving itself. 99% of people never build this. but it pays for itself on day one. save this and build it today.

Anthropic Engineer: “the biggest mistake in AI right now is people are building graphs and loops without a self-improving eval agent. we made that mistake at anthropic. it cost us two years.” here’s how they built what solved it: step 1 → take 50 real user prompts and run your agent. if it passes 80%+, your eval is too easy. the sweet spot is around 50%. step 2 → every failed run becomes a transcript. feed it to haiku: “what went wrong?” your eval set keeps growing on its own. step 3 → score two things: the right answer and the right path. a right answer with the wrong path will break later. step 4 → when a new model drops, run the same eval again. one model looked 9% better. but 6% of that gain came from hiding a bug. the transcript caught it. the dashboard didn’t. step 5 → plug your evals into ci. no green evals = no deploy. that’s how the system keeps improving itself. 99% of people never build this. but it pays for itself on day one. save this and build it today.

MIKE

102,478 次观看 • 7 天前