exit

@0x_exit • 1,451 subscribers

trying to make money AI agents work so I don’t have to

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I can’t stop thinking about this… before hackers stole $6.4 billion from Binance, they spent days rehearsing the attack in public. The test transactions on Ethereum were worth only a few dollars. Nobody stopped them. Bloomberg reconstructed what happened. Once the code worked, the hackers launched the real attack across multiple blockchains. Then I reached the detail that doesn’t feel real. Some of the compromised wallets kept receiving fresh funds from Binance while the hackers were draining them. The attackers emptied a wallet, Binance refilled it, and they emptied it again. For a period of time, the exchange was effectively feeding new money into its own robbery. Binance co-founder Yi He was at home in Abu Dhabi. She reportedly discovered the breach while scrolling X before bed. Imagine opening Twitter and learning that billions of dollars are disappearing from your own exchange. Within minutes, Binance assembled a 100 person crisis team. The FBI, the U.S. Secret Service and blockchain analysts around the world joined the response. Meanwhile, some employees were reportedly already worried about losing their annual bonuses. But the most disturbing detail came later. According to the investigation, the hackers used valid permissions to execute the transfers. To the blockchain, everything looked authorized. There was no transaction labeled “hack” just legitimate-looking operations moving billions out of wallets the system still trusted. The $6.4 billion heist didn’t begin when billions started moving. It began days earlier with transactions worth a few dollars, too small for anyone to care about. By the time it looked dangerous, the blockchain was still saying: authorized.

I can’t stop thinking about this… before hackers stole $6.4 billion from Binance, they spent days rehearsing the attack in public. The test transactions on Ethereum were worth only a few dollars. Nobody stopped them. Bloomberg reconstructed what happened. Once the code worked, the hackers launched the real attack across multiple blockchains. Then I reached the detail that doesn’t feel real. Some of the compromised wallets kept receiving fresh funds from Binance while the hackers were draining them. The attackers emptied a wallet, Binance refilled it, and they emptied it again. For a period of time, the exchange was effectively feeding new money into its own robbery. Binance co-founder Yi He was at home in Abu Dhabi. She reportedly discovered the breach while scrolling X before bed. Imagine opening Twitter and learning that billions of dollars are disappearing from your own exchange. Within minutes, Binance assembled a 100 person crisis team. The FBI, the U.S. Secret Service and blockchain analysts around the world joined the response. Meanwhile, some employees were reportedly already worried about losing their annual bonuses. But the most disturbing detail came later. According to the investigation, the hackers used valid permissions to execute the transfers. To the blockchain, everything looked authorized. There was no transaction labeled “hack” just legitimate-looking operations moving billions out of wallets the system still trusted. The $6.4 billion heist didn’t begin when billions started moving. It began days earlier with transactions worth a few dollars, too small for anyone to care about. By the time it looked dangerous, the blockchain was still saying: authorized.

409,643 Aufrufe

A 23 year old developer randomly found an open-source trading bot on GitHub. The repo already had 899 stars, so he decided to test it on a small account. He launched it in the evening. By morning, the account was up $280. The interesting part is that the bot wasn’t trying to predict Bitcoin or Solana. It barely predicted anything at all. The system monitored multiple markets at the same time and looked for moments when price or liquidity became unusually attractive. One module scanned Polymarket. Another watched Binance. A third monitored liquidity and cancelled trades whenever the risk got too high. While he was asleep, the system kept scanning markets and only executed trades that passed its filters. In the morning, he just opened Telegram and saw the list of filled orders. And this is the weird part: a few years ago, infrastructure like this would have looked like an internal tool at a small trading firm. Now you can find a similar stack sitting publicly on GitHub. Repo:

A 23 year old developer randomly found an open-source trading bot on GitHub. The repo already had 899 stars, so he decided to test it on a small account. He launched it in the evening. By morning, the account was up $280. The interesting part is that the bot wasn’t trying to predict Bitcoin or Solana. It barely predicted anything at all. The system monitored multiple markets at the same time and looked for moments when price or liquidity became unusually attractive. One module scanned Polymarket. Another watched Binance. A third monitored liquidity and cancelled trades whenever the risk got too high. While he was asleep, the system kept scanning markets and only executed trades that passed its filters. In the morning, he just opened Telegram and saw the list of filled orders. And this is the weird part: a few years ago, infrastructure like this would have looked like an internal tool at a small trading firm. Now you can find a similar stack sitting publicly on GitHub. Repo:

149,465 Aufrufe

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A 23 year old developer randomly found an open-source trading bot on GitHub. The repo already had 899 stars, so he decided to test it on a small account. He launched it in the evening. By morning, the account was up $280. The interesting part is that the bot wasn’t trying to predict Bitcoin or Solana. It barely predicted anything at all. The system monitored multiple markets at the same time and looked for moments when price or liquidity became unusually attractive. One module scanned Polymarket. Another watched Binance. A third monitored liquidity and cancelled trades whenever the risk got too high. While he was asleep, the system kept scanning markets and only executed trades that passed its filters. In the morning, he just opened Telegram and saw the list of filled orders. And this is the weird part: a few years ago, infrastructure like this would have looked like an internal tool at a small trading firm. Now you can find a similar stack sitting publicly on GitHub. Repo:

A 23 year old developer randomly found an open-source trading bot on GitHub. The repo already had 899 stars, so he decided to test it on a small account. He launched it in the evening. By morning, the account was up $280. The interesting part is that the bot wasn’t trying to predict Bitcoin or Solana. It barely predicted anything at all. The system monitored multiple markets at the same time and looked for moments when price or liquidity became unusually attractive. One module scanned Polymarket. Another watched Binance. A third monitored liquidity and cancelled trades whenever the risk got too high. While he was asleep, the system kept scanning markets and only executed trades that passed its filters. In the morning, he just opened Telegram and saw the list of filled orders. And this is the weird part: a few years ago, infrastructure like this would have looked like an internal tool at a small trading firm. Now you can find a similar stack sitting publicly on GitHub. Repo:

149,465 Aufrufe • vor 1 Monat

found a bot that's basically farming Polymarket for the spread on every match started with $500 back in August, it's up $46k now. win rate 50% barely a coin flip. what it does: > tennis, almost nothing else. US Open main draw, qualies, challengers in Manacor, Porto, Plovdiv, Como, Zhangjiagang > every trade is a maker order. limit buys on both sides of the same match, filled at different prices > fills are tiny. $0.05, $2.68, $35. one every 20-60 seconds, all day > when the match ends it redeems. half go to $0, half go to $1. it doesn't care which > Polymarket paid it $4.2k in liquidity rewards last month on top of that sometimes the cheap side hits. its biggest single wins are a 0.3c fill on the Suns, 1.4c on Zverev, 5.4c on the Spurs. $5-6k each. watch it work: so why doesn't everyone copy it: > it's a bot. runs 24/7 across every challenger match on the planet > the edge is 0.4% of volume. you need $20M of churn to make $82k > maker orders only fill when someone takes the other side. on a dead qualifier nobody does > 49.9% means you eat $0 redemptions every hour and trust the other half covers it Polymarket lists hundreds of tennis matches a week and the takers set his prices for him. he's not picking winners. he just leaves limit orders on both sides and lets people cross the spread into him.

found a bot that's basically farming Polymarket for the spread on every match started with $500 back in August, it's up $46k now. win rate 50% barely a coin flip. what it does: > tennis, almost nothing else. US Open main draw, qualies, challengers in Manacor, Porto, Plovdiv, Como, Zhangjiagang > every trade is a maker order. limit buys on both sides of the same match, filled at different prices > fills are tiny. $0.05, $2.68, $35. one every 20-60 seconds, all day > when the match ends it redeems. half go to $0, half go to $1. it doesn't care which > Polymarket paid it $4.2k in liquidity rewards last month on top of that sometimes the cheap side hits. its biggest single wins are a 0.3c fill on the Suns, 1.4c on Zverev, 5.4c on the Spurs. $5-6k each. watch it work: so why doesn't everyone copy it: > it's a bot. runs 24/7 across every challenger match on the planet > the edge is 0.4% of volume. you need $20M of churn to make $82k > maker orders only fill when someone takes the other side. on a dead qualifier nobody does > 49.9% means you eat $0 redemptions every hour and trust the other half covers it Polymarket lists hundreds of tennis matches a week and the takers set his prices for him. he's not picking winners. he just leaves limit orders on both sides and lets people cross the spread into him.

10,461 Aufrufe • vor 2 Monaten

$63,084 monthly PnL from Counter-Strike scalping on Polymarket → Trader: Tommy***Peeca → Strategy: round by round flips on Match Winner and Map Winner markets → Edge: repricing between rounds faster than manual traders can refresh $9 first funding on June 16. $2.86M total volume in few weeks. 78% win rate across 100 Thieves, Spirit, Wildcard, TheMongolz tape. when others pick a team, he trades the momentum between rounds. watch this wallet:

$63,084 monthly PnL from Counter-Strike scalping on Polymarket → Trader: Tommy***Peeca → Strategy: round by round flips on Match Winner and Map Winner markets → Edge: repricing between rounds faster than manual traders can refresh $9 first funding on June 16. $2.86M total volume in few weeks. 78% win rate across 100 Thieves, Spirit, Wildcard, TheMongolz tape. when others pick a team, he trades the momentum between rounds. watch this wallet:

10,736 Aufrufe • vor 3 Monaten

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