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self.dll

@seelffff7,612 subscribers

AI/ML engineer DM is open/long-term cooperation

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i made $83,000 by looking at one number not the price not the volume the spread α = Δ / (V_h − μ) α is the fraction of traders in the market who already know the correct answer spread 0.05 → α = 5% safe to enter spread 0.15 → α = 15% be careful spread 0.25 → α = 20% one in five knows more than you before this i entered markets with wide spreads i thought illiquid, inefficient, that's where the money is turns out a wide spread means smart money is already there and i was paying their bill every single time once i started filtering markets by this formula stopped entering anything where α > 12% $83,000 in the next two months same polymarket same markets i just stopped being someone else's α i track these markets in real time through a bot it calculates α for every market automatically and only alerts when the entry is clean did you know the spread tells you exactly who else is in the game?

i made $83,000 by looking at one number not the price not the volume the spread α = Δ / (V_h − μ) α is the fraction of traders in the market who already know the correct answer spread 0.05 → α = 5% safe to enter spread 0.15 → α = 15% be careful spread 0.25 → α = 20% one in five knows more than you before this i entered markets with wide spreads i thought illiquid, inefficient, that's where the money is turns out a wide spread means smart money is already there and i was paying their bill every single time once i started filtering markets by this formula stopped entering anything where α > 12% $83,000 in the next two months same polymarket same markets i just stopped being someone else's α i track these markets in real time through a bot it calculates α for every market automatically and only alerts when the entry is clean did you know the spread tells you exactly who else is in the game?

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i cancelled $2,000/month in trading subscriptions replaced every single one with open-source repos here's the full stack: 1. TradingView Pro ($30/mo) → lightweight-charts 14K stars. by TradingView themselves. 45KB. free 2. Bloomberg Terminal ($2,000/mo) → fredapi + Claude every macro dataset the Fed publishes. free API 3. backtest platform ($100/mo) → prediction-market-backtesting NautilusTrader fork with Polymarket + Kalshi adapters 4. real-time dashboard → polyrec terminal UI: Chainlink oracle, Binance feed, orderbook depth 70+ indicators. auto CSV logging. strategy backtester 5. bot framework (7 strategies) → Polymarket-Trading-Bot 53K lines TypeScript. arbitrage, momentum, market making, AI forecast, whale copy-trade, convergence 6. strategy reverse engineering → polybot execution + market data infrastructure. paper trading Kafka, ClickHouse, Grafana. full analytics pipeline 7. paper trading for AI agents → polymarket-paper-trader real order books. exact fee model. slippage tracking your Claude agent gets $10K paper money and trades 8. token savings → rtk CLI proxy. cuts Claude Code tokens by 60-90% Rust. single binary. 10 AI tools supported 9. Claude Code itself ($200/mo) → goose 35K stars. by Block (Jack Dorsey). Rust works with any LLM. full agent loop. free 10. wallet tracking + copy trading → Kreo track top Polymarket wallets. auto copy trades the only tool on this list i actually pay for because it makes more than it costs total before: ~$2,600/month total now: $0 + Kreo bookmark this. you'll need it

self.dll

802,593 Aufrufe • vor 3 Monaten

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10 repos blowing up on GitHub this week that replace $1,500/month in AI tools 1. andrej-karpathy-skills → replaces paid Claude Code courses one CLAUDE.md file from Karpathy's LLM coding observations 48,965 stars. 7,939 stars TODAY 2. claude-mem → replaces paid context/memory tools auto-captures everything Claude does across sessions compresses with AI and injects into future sessions 59,373 stars. 1,907 stars today 3. voicebox → replaces ElevenLabs ($22/mo) open-source voice synthesis studio 18,963 stars. 887 stars today 4. open-agents → replaces paid agent platforms ($200/mo) open-source template for building cloud agents. by Vercel 3,105 stars. 735 stars today 5. cognee → replaces paid knowledge bases ($50/mo) AI agent memory engine in 6 lines of code 15,733 stars 6. magika → replaces paid file detection tools AI file content type detection. by Google 14,603 stars 7. GenericAgent → replaces paid agent infra ($100/mo) self-evolving agent. grows skill tree from 3.3K-line seed 6x less token consumption than standard agents 2,661 stars. 883 stars today 8. omi → replaces Rewind AI ($25/mo) AI that sees your screen + listens to conversations tells you what to do next 8,952 stars. 488 stars today 9. evolver → replaces manual agent optimization self-evolution engine for AI agents genome evolution protocol 3,074 stars. 866 stars today 10. wallet tracking + copy trading → Kreo tracks top Polymarket wallets. auto copies trades the only tool on this list i actually pay for because it makes more than it costs → total before: ~$1,500/month in AI subscriptions total now: $0 + Kreo like + bookmark you'll need this

self.dll

361,617 Aufrufe • vor 3 Monaten

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my 16 year old brother read this article on a tuesday night wednesday morning he opened checked the NOAA forecast for NYC: 43 degrees checked polymarket: "40-45 range" priced at $0.15 NOAA accuracy: 93%. market says 15%. somebody is very wrong he bought 200 shares at $0.15 next day temperature: 43 degrees shares resolved at $1.00 $0.15 to $1.00. 567% return. one trade. one weather forecast he didn't stop day 1: NYC weather. $170 profit day 3: London temperature. $94 day 5: Chicago high. $210 day 8: Seoul forecast. $147 day 12: back to NYC. $320 he built a routine: 7:00 AM check NOAA 7:02 AM compare with polymarket 7:03 AM buy if divergence > 30% go to school by week 6: starting capital: $400 - birthday money balance: $8,740 trades: 312 win rate: 87.4% avg profit per trade: $26.70 time per day: 3 minutes before school NOAA updates forecasts 9-15 minutes before polymarket adjusts $6 billion government supercomputer vs teenagers checking weather between tiktoks he has made more in 6 weeks than his teacher makes in 2 months the data is free. NOAA is a government website. public. updated hourly the formula is 5th grade math: EV = (0.93 x $1.00) - $0.15 = $0.78 78 cents per share on the best setups my brother doesn't know what LMSR is doesn't know what softmax is doesn't know what a neural network is he knows one thing: NOAA is right 93% of the time and polymarket hasn't figured that out yet i spent 3 months writing 4,000 lines of Rust he checks for 3 minutes and goes to school 16 years old. $8,740. 3 minutes a day. one government website what free public data source are you not checking?

self.dll

401,336 Aufrufe • vor 4 Monaten

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10 repos that cut your ai agent token bill by up to 80% 1. microsoft/LLMLingua → cuts prompt size by up to 95% compresses prompts before the api call. 20x compression. published at EMNLP + ACL. near-zero quality loss. 6,100 stars 2. mem0ai/mem0 → replaces full conversation history in context stores what matters. retrieves only what's needed. 10,000 token history → 200 token memory. per agent. 54,800 stars 3. BerriAI/litellm → routes each call to the cheapest model simple task → haiku. complex task → sonnet. tracks cost per agent, per call, per day. 45,700 stars 4. run-llama/llama_index → replaces sending full documents rag: 100-page doc → 3 relevant chunks → same answer. 98% fewer tokens per query. 49,100 stars 5. chroma-core/chroma → replaces keyword search in full context vector store. finds the closest match. feeds only that. 50-200 tokens per query instead of thousands. 27,800 stars 6. letta-ai/letta → replaces infinite context window crashes paged memory for agents. loads only relevant memory. stops your agent from hitting limits and retrying. 22,400 stars 7. guidance-ai/guidance → cuts output token bloat by 30-50% structured generation. constrains model output natively. no more 100-token prompts to get json back. 21,400 stars 8. Aider-AI/aider → replaces pasting entire codebases builds a repo map. sends only files relevant to the task. not your whole project. just what the agent needs. 44,300 stars 9. openai/tiktoken → count tokens before you send know the exact cost before the api call happens. not after the bill arrives. 18,100 stars 10. simonw/ttok → hard cap on what gets sent cli tool: count tokens, truncate to budget limit. pipe any text in. get truncated output back. 389 stars most agents are expensive not because the model is expensive. because nobody checked what was being sent to it.

self.dll

39,370 Aufrufe • vor 2 Monaten