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Launched an AI-powered encyclopedia with Kurzgesagt-inspired articles. Beautiful TLDR articles @ Auto fact-checking via trusted sources is on the way. Best articles in the 🧵

16,319 просмотров • 3 лет назад •via X (Twitter)

Комментарии: 5

Фото профиля Alejandro Martinez | IA
Alejandro Martinez | IA3 лет назад

Eightify : 🚀🚀

Фото профиля Alex Kataev
Alex Kataev3 лет назад

haha, gracias!

Фото профиля Tristan Scifo
Tristan Scifo3 лет назад

@eightifyapp This can go so many places. Eagerly watching to see what you build here. Keen to collab.

Фото профиля Mohini Shewale
Mohini Shewale2 лет назад

Love this extension @AlexKataev

Фото профиля Allen Shih
Allen Shih2 лет назад

I love your summary layout and the way to present video insights and Q&A!

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i told my bot to read 20 polymarket quant articles and build me a trading system $600 → $20,400 in one week the scary part? it found edges the articles never mentioned gave claude opus 4.6 a simple task: "read these 20 articles from polymarket quants, extract every strategy, find what they're NOT saying, and build me a bot" 48 hours later i had a system running the articles talked about: - arbitrage basics - weather markets - simple spreads but the bot found something else it analyzed 847 trades from top wallets cross-referenced with article timestamps found a pattern nobody wrote about the gap between what quants publish and what they actually trade example: > articles say "wait for 5% mispricing" top wallets enter at 2.3% > articles say "avoid volatile markets" top wallets make 80% of profit during volatility spikes > articles say "start with $100" successful bots compound at 3-6% per trade the bot ignored the public advice copied the actual behavior week 1 results: - 127 trades executed - 71% win rate - $600 → $20,400 biggest win: $4,100 on a 15min BTC marketthe articles said these markets are "too risky" the bot saw 18 top wallets entering simultaneously here's what it actually does: → scans articles for strategy mentions → tracks wallets that publish those articles → compares their written strategy vs actual trades → trades the difference, not the advice the edge isn't reading quant articles the edge is reading what quants do after they publish most people learn from what traders say the bot learned from what they hide am i the only one who thinks public alpha is just exit liquidity?

ZER

206,638 просмотров • 5 месяцев назад

I asked my bot to read 20 Polymarket quant articles and build me a trading system. One week later: $600 → $20,400. The crazy part? It didn’t just copy the strategies from the articles. It found the edges the authors never mentioned. I gave Claude Opus a simple prompt: “Read these 20 quant articles. Extract every strategy. Then figure out what they’re not saying.” 48 hours later, the bot was live. The articles talked about the usual things: • basic arbitrage • weather markets • simple spreads But the bot looked deeper. It analyzed 847 trades from top wallets, cross-referenced them with article timestamps, and found something interesting: The gap between what quants publish and what they actually trade. Examples: Articles say: wait for 5% mispricing. Top wallets enter at 2.3%. Articles say: avoid volatile markets. Top wallets make 80% of their profits during volatility spikes. Articles say: start small with $100. Successful bots compound 3–6% per trade. So the system ignored the advice. And copied the behavior. Week 1 results • 127 trades executed • 71% win rate • $600 → $20,400 Biggest trade: $4,100 profit on a 15-minute BTC market Funny thing? The articles called those markets “too risky.” The bot saw 18 top wallets entering at the same time. Copytrade → What the bot actually does → scans quant articles for strategy mentions → tracks wallets belonging to the authors → compares what they write vs what they trade → trades the difference The edge isn’t reading quant articles. The edge is watching what happens after they publish them. Most people learn from what traders say. The bot learned from what they hide.

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54,245 просмотров • 5 месяцев назад