armysarge702

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armysarge702

armysarge702

@armysarge702

Katılım Haziran 2018
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wast3
wast3@0xWast3·
$2,320,000 net profit at 19 years old from a bedroom in Ohio while his classmates were studying algorithms in lecture halls he was running one live on Polymarket This's his wallet: @0x8dxd?r=wast3" target="_blank" rel="nofollow noopener">polymarket.com/@0x8dxd?r=wast3 he didn't trade manually - he built a bot so precise that in the first weeks it ran at 98% winrate here's what the numbers actually look like: > 64,693+ trades, pure high-frequency volume > 55% winrate across tens of millions in volume > gross profit $7.44M, net after losses: $2.32M > biggest single win: $33,952 in one trade most people try to predict markets he built infrastructure that extracts value from other people trading the bot closes every position, resets, and goes again $2.32M net is what happens when your code runs better than your competition bookmarked and learn
wast3@0xWast3

x.com/i/article/2047…

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Marry Evan
Marry Evan@marryevan999·
A wild Polymarket account has emerged A Chinese student in Japan, who's only been on Polymarket for 2 days Turned $0.90 into $408,292 Almost no one's talking about it, 0 viewers His profile is called Gravia He says this is his terminal I reverse-engineered it, then had Claude build a similar bot following the same strategy One prompt 20 minutes Done What it does isn't ordinary trading But a Polymarket BTC UP/DOWN 5MIN scalper: → Pulls real-time BTC data from Binance WebSocket + 5M K-lines → Cross-references TradingView signals + CryptoQuant exchange flows → Uses Mirofish force-graph engine to map out 100 nodes / 180 edges, detecting convergence in BEAR / BULL clusters → Captures moments when Polymarket CLOB lags spot price by >0.3% → Executes in <100ms before contract repricing → In the UP/DOWN 5MIN market, 1000+ orders per second → Grabs 0.3-0.8% per trade → Skips if no edge, liquidity too thin, signal conflicts, or hits daily cap Risk controls are spelled out clearly too: Per-trade risk 0.5% Daily cap 2% -0.4% hard stop Runs on local terminal No cloud reliance No GPU needed The edge in this kind of bot isn't really "predicting BTC" But exploiting the time gap between spot price, signal convergence, and CLOB repricing The question is: How big can this 5MIN high-frequency scalper scale up to in the end? And will Polymarket ban it? You only need Claude + Device + 1 hour/day. Giving This Free for 24 hours. To get it: 1. Comment the word 'CLAUDE' 2. Like and Retweet this post 3. Follow me @marryevan999 (so i can DM you)
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Ihtesham Ali
Ihtesham Ali@ihtesham2005·
A guy named nbatman on Reddit accidentally built the most useful website on the internet. It's called FMHY (Free Media Heck Yeah). This is the website Google delisted from search for DMCA violations, Reddit shadow-banned for promoting piracy, the Motion Picture Association flagged as a top piracy threat, and the RIAA pressured hosting providers to drop. It is still online. It is still updated every month. Here's how it works. FMHY is the index. The wiki itself hosts nothing. It just tells you where every free thing on the internet actually lives, organized into 14 categories with safety ratings on every single link. → Movies and shows in 4K from 50+ streaming sites → Music at Spotify and Apple Music quality → Adobe Creative Cloud, Microsoft Office, AutoCAD, JetBrains → Every paid course on every major learning platform → 100 million books and papers through Anna's Archive → Free alternatives to every paid AI tool → A SafeGuard browser extension that flags unsafe sites in real time It started as a single Google Doc maintained by one Reddit moderator in 2018. Google killed it with a DMCA takedown in 2023. The community rebuilt the wiki on its own domain, mirrored it to GitHub and IPFS, and now runs it across 12 backup domains simultaneously. There is no company. No CEO. No central server. Six anonymous volunteers maintain the entire thing in their spare time. Donations through Ko-fi pay for the hosting. Nobody profits. Hollywood can't shut this down. Spotify can't shut this down. Adobe can't shut this down. The entire subscription economy is held together by you not knowing this wiki exists. fmhy.net
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Jordan Ross
Jordan Ross@jordan_ross_8F·
My AI agents (now) improve themselves while I sleep. Every day they finish work, reflect on what broke, and rewrite their own playbooks to run sharper tomorrow. I don't touch it. It did not start that way. Week 1 with Hermes was a mess... Memory failed. Automations misfired. I was trying to move fast and building on shit foundation. My problem was proper system design. Then a 10x Silicon Valley exec walked me through the part I'd skipped — Agents.md files, the architecture, the markdown structure underneath it all. I slowed down and built it properly. That week, I stopped managing my own inbox. Hermes can replace every admin and low level ops role on your team. It can also waste a month of your life. The difference is design. I put everything that worked into a 24-page guide. Download it → upload it to Claude → have it build your agent file system with you, one file at a time. Compound this one system and you'll make an extra 500-1M in profit in the next 12 months. Comment "Hermes" and I'll send it. (Must be following for the auto DM.)
Suryansh Tiwari@Suryanshti777

Every AI agent today has the same problem. It forgets everything the moment the session ends. Your workflow. Your preferences. The fixes it learned yesterday. All gone. Hermes Agent is one of the first projects pushing in a completely different direction. Instead of treating AI like a temporary chat window, it treats it like a system that should: • remember • evolve • reuse experience • and improve over time That’s why developers are suddenly paying attention to it. The architecture behind it is genuinely interesting: • self-evolving skills • multi-layer memory • cross-session recall • autonomous agents running 24/7 • GEPA optimization loops • persistent personalities & workflows The result feels less like “using an AI tool” and more like building a long-term AI operator that compounds with usage. Made this infographic to simplify how the whole system actually works because this is easily one of the most interesting open-source AI agent projects right now.

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cvxv666
cvxv666@antpalkin·
A blackjack dealer in Macau got blacklisted from the VIP rooms last spring for counting cards. By August he couldn't get a floor job at any property in Cotai. So he deposit $500, ran a Hermes trading agent on Polymarket and pulled in $881,319 over the next 14 months. His wallet: @0x6e1d5040d0ac73709b0621f620d2a60b80d2d0f?via=cvxv666" target="_blank" rel="nofollow noopener">polymarket.com/@0x6e1d5040d0a… The casinos taught him one thing - count, size your bet to your edge, walk away when the edge is gone. So he makes 5 trades a day. Not 50. Not 500. Five. And waits for the rest. Here's the actual stack. Claude Opus 4.7 reads the order book nightly, scores every threshold market by Markov persistence x Kelly edge, and surfaces the 2-3 mispriced ones. Hermes Agent by NousResearch executes. A $10/mo Hetzner VPS runs it 24/7. Telegram pings on every fill. Total cost: $10/month. Setup: 30 minutes. No coding. One trade in April: Will Bitcoin reach $90,000? Market said 1.2¢. He put $3,088 on Yes. It hit. +$123,196. A 3,988% return on a single position. The real edge is the nightly self-learning loop. Every midnight, Opus reads the day's trade journal and rewrites MIN_PROB and MIN_EDGE in the .env file. Last week the threshold was 0.87. This week 0.89. Next week maybe 0.91. His version of the bot has rewritten itself 412 times in 14 months. The Macau syndicate couldn't ban him from Polymarket. The bot doesn't sit at a table. It doesn't show a passport. It just hunts the tails. Save this post - if you want to build something of your own based on Hermes. Or just start copying algorithm that has improved itself 412 times: @cvxv666" target="_blank" rel="nofollow noopener">kreo.app/@cvxv666
cvxv666@antpalkin

x.com/i/article/2046…

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