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i cancelled $730/month in trading subscriptions here's the 6 free GitHub repos i use instead: * py-clob-client → official Polymarket CLOB API replaces paid data providers * OpenBB → open-source market terminal replaces Bloomberg Terminal ($250/mo) * Freqtrade → crypto trading bot framework replaces paid bot platforms ($80/mo) *... show more

self.dll

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23,452 次观看 • 3 个月前 •via X (Twitter)

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most traders pay $3,000+/month for tools GitHub replaced for free. 9 repos. zero subscriptions. 1. OpenBB → replaces Bloomberg Terminal ($2,000/mo) financial data platform built for AI agents and quants connects natively to claude via MCP. most people don't know this. 2. freqtrade → replaces paid crypto bot services ($100/mo) ML strategy optimization. runs on binance, bybit, hyperliquid and 10+ others 34,000 stars. free and always will be. 3. hummingbot → replaces HFT bot platforms ($200/mo) $34B+ in user-generated trading volume has a native claude MCP integration. connect your AI directly to 140+ exchanges. 4. FinGPT → replaces financial AI subscriptions ($150/mo) open-source LLMs that outperform GPT-4 on market sentiment bloomberg spent $3M training theirs. this costs $17 to fine-tune. 5. NautilusTrader → replaces institutional trading platforms ($500/mo) production-grade. rust-native. fast enough to train RL trading agents same codebase for backtesting and live. zero rewrite needed. 6. QuantConnect Lean → replaces paid quant research platforms ($100/mo) professional algo trading engine. python + C# from backtest to live in one click. used by 200K+ quants worldwide. 7. jesse → replaces TradingView algo subscriptions ($25/mo) advanced crypto trading framework for serious strategy builders clean. powerful. no bloat. 8. vectorbt → replaces paid backtesting tools ($80/mo) fastest backtesting library in existence tests thousands of strategies in seconds. pandas-based. 9. FinRL → replaces custom AI trading infrastructure ($300/mo) financial reinforcement learning. train your own trading AI. from the same team behind FinGPT. 10. AlphaCartel Setup → replaces hedge fund signal services ($300/mo) this is where all 9 repos above connect into one working system claude-powered bots. live signals. no-code setup. community of traders already printing. total before: ~$3,455/month total now: $0 + alphacartel like + bookmark. you'll need this.

most traders pay $3,000+/month for tools GitHub replaced for free. 9 repos. zero subscriptions. 1. OpenBB → replaces Bloomberg Terminal ($2,000/mo) financial data platform built for AI agents and quants connects natively to claude via MCP. most people don't know this. 2. freqtrade → replaces paid crypto bot services ($100/mo) ML strategy optimization. runs on binance, bybit, hyperliquid and 10+ others 34,000 stars. free and always will be. 3. hummingbot → replaces HFT bot platforms ($200/mo) $34B+ in user-generated trading volume has a native claude MCP integration. connect your AI directly to 140+ exchanges. 4. FinGPT → replaces financial AI subscriptions ($150/mo) open-source LLMs that outperform GPT-4 on market sentiment bloomberg spent $3M training theirs. this costs $17 to fine-tune. 5. NautilusTrader → replaces institutional trading platforms ($500/mo) production-grade. rust-native. fast enough to train RL trading agents same codebase for backtesting and live. zero rewrite needed. 6. QuantConnect Lean → replaces paid quant research platforms ($100/mo) professional algo trading engine. python + C# from backtest to live in one click. used by 200K+ quants worldwide. 7. jesse → replaces TradingView algo subscriptions ($25/mo) advanced crypto trading framework for serious strategy builders clean. powerful. no bloat. 8. vectorbt → replaces paid backtesting tools ($80/mo) fastest backtesting library in existence tests thousands of strategies in seconds. pandas-based. 9. FinRL → replaces custom AI trading infrastructure ($300/mo) financial reinforcement learning. train your own trading AI. from the same team behind FinGPT. 10. AlphaCartel Setup → replaces hedge fund signal services ($300/mo) this is where all 9 repos above connect into one working system claude-powered bots. live signals. no-code setup. community of traders already printing. total before: ~$3,455/month total now: $0 + alphacartel like + bookmark. you'll need this.

AI Bulls

107,531 次观看 • 3 个月前

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

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

361,846 次观看 • 3 个月前

$5 github repos that turned my AI ideas into a working Polymarket trading desk. +$300K in month. 1. guberm/polymarket-bot -> replaces a $200K/yr prop trading desk Claude ensemble + multi-provider mode. fractional Kelly. stop-loss, take-profit, edge-gone exits. 2. alsk1992/CloddsBot -> replaces 4 trading terminals ($300/mo each) 1000+ markets across Polymarket, Kalshi, Binance, Hyperliquid. 8 LLM providers. VaR/CVaR risk engine. 3. randomness11/probablyprofit -> replaces $5,000+ in custom strategy dev write strategy in plain English. Claude + GPT-4 + Gemini with 2-of-3 voting. Kelly sizing. Telegram alerts. 4. caiovicentino/polymarket-mcp-server -> replaces "AI-powered" SaaS subs ($99/mo) gives Claude direct trading access. 45 tools. real-time WebSocket. max order size + exposure limits. 5. polymarket side: PolyGun wallets and auto-copies their trades + my public repo: bookmark this. send to anyone who says "AI can't trade"$

5 github repos that turned my AI ideas into a working Polymarket trading desk. +$300K in month. 1. guberm/polymarket-bot -> replaces a $200K/yr prop trading desk Claude ensemble + multi-provider mode. fractional Kelly. stop-loss, take-profit, edge-gone exits. 2. alsk1992/CloddsBot -> replaces 4 trading terminals ($300/mo each) 1000+ markets across Polymarket, Kalshi, Binance, Hyperliquid. 8 LLM providers. VaR/CVaR risk engine. 3. randomness11/probablyprofit -> replaces $5,000+ in custom strategy dev write strategy in plain English. Claude + GPT-4 + Gemini with 2-of-3 voting. Kelly sizing. Telegram alerts. 4. caiovicentino/polymarket-mcp-server -> replaces "AI-powered" SaaS subs ($99/mo) gives Claude direct trading access. 45 tools. real-time WebSocket. max order size + exposure limits. 5. polymarket side: PolyGun wallets and auto-copies their trades + my public repo: bookmark this. send to anyone who says "AI can't trade"

zostaff

18,706 次观看 • 3 个月前

10 repos that replace $415,000/year in enterprise software 1. supabase → replaces Firebase + Auth0 ($15K/year) open-source backend: database, auth, storage, realtime 73,000 stars 2. n8n → replaces Zapier Enterprise ($50K/year) self-hosted workflow automation. 400+ integrations. 47,000 stars 3. metabase → replaces Tableau / Looker ($70K/year) open-source BI tool. connect any database, build dashboards 38,000 stars 4. → replaces Calendly Enterprise ($20K/year) open-source scheduling. full control, white label, self-host 31,000 stars 5. openbb → replaces Bloomberg Terminal ($30K/year) open-source investment research platform 34,000 stars 6. mattermost → replaces Slack Enterprise ($15K/year) self-hosted team messaging. full data ownership 30,000 stars 7. posthog → replaces Amplitude + Mixpanel ($25K/year) open-source product analytics. session replay, feature flags 22,000 stars 8. chatwoot → replaces Intercom ($40K/year) open-source customer support platform. omnichannel inbox 22,000 stars 9. plausible → replaces Google Analytics 360 ($150K/year) privacy-first analytics. lightweight, GDPR compliant 20,000 stars 10. wallet tracking + copy trading → Kreo tracks top Polymarket wallets. auto-copies trades in real time total before: ~$415,000/year total now: $0 + Kreo like + bookmark. you'll need this.

10 repos that replace $415,000/year in enterprise software 1. supabase → replaces Firebase + Auth0 ($15K/year) open-source backend: database, auth, storage, realtime 73,000 stars 2. n8n → replaces Zapier Enterprise ($50K/year) self-hosted workflow automation. 400+ integrations. 47,000 stars 3. metabase → replaces Tableau / Looker ($70K/year) open-source BI tool. connect any database, build dashboards 38,000 stars 4. → replaces Calendly Enterprise ($20K/year) open-source scheduling. full control, white label, self-host 31,000 stars 5. openbb → replaces Bloomberg Terminal ($30K/year) open-source investment research platform 34,000 stars 6. mattermost → replaces Slack Enterprise ($15K/year) self-hosted team messaging. full data ownership 30,000 stars 7. posthog → replaces Amplitude + Mixpanel ($25K/year) open-source product analytics. session replay, feature flags 22,000 stars 8. chatwoot → replaces Intercom ($40K/year) open-source customer support platform. omnichannel inbox 22,000 stars 9. plausible → replaces Google Analytics 360 ($150K/year) privacy-first analytics. lightweight, GDPR compliant 20,000 stars 10. wallet tracking + copy trading → Kreo tracks top Polymarket wallets. auto-copies trades in real time total before: ~$415,000/year total now: $0 + Kreo like + bookmark. you'll need this.

self.dll

47,511 次观看 • 3 个月前

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

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

803,521 次观看 • 4 个月前

7 repos that mass replace a $50,000/year sports analytics department. all free. all open source. -> replaces Hawkeye-level court analysis YOLO tracks players and ball from any broadcast. ResNet50 extracts court keypoints. homography converts pixels to real meters. speed, position, aggression - all from a TV feed. -> replaces paid sports data subscriptions ($500/mo) every ATP match since 1968. rankings, results, stats. 1.5K stars. the holy grail dataset that every tennis ML project is built on. -> replaces point-level data feeds ($200/mo) point-by-point data for every Grand Slam since 2011. the kind of granularity you need for live Bayesian models. -> replaces shot-by-shot scouting reports 5,000+ matches charted shot by shot. direction, depth, error type. crowdsourced and free. -> replaces pre-match and in-match prediction services ELO + serve/return stats → win probability. updates during the match. exactly what a live Bayesian engine needs. -> replaces ball trajectory prediction tools CV analysis + CatBoost bounce prediction + separate court detector neural net. most advanced open-source tennis CV pipeline. -> replaces traditional bookmaker APIs Polymarket CLOB API. real-time share prices, orderbook depth, bid/ask spreads. no margin, no bookmaker - just the crowd. trade positions mid-match, not just pre-match. total before: $50K/year sports analytics stack total now: $0 like + bookmark you'll need this when you build your first tennis bot

7 repos that mass replace a $50,000/year sports analytics department. all free. all open source. -> replaces Hawkeye-level court analysis YOLO tracks players and ball from any broadcast. ResNet50 extracts court keypoints. homography converts pixels to real meters. speed, position, aggression - all from a TV feed. -> replaces paid sports data subscriptions ($500/mo) every ATP match since 1968. rankings, results, stats. 1.5K stars. the holy grail dataset that every tennis ML project is built on. -> replaces point-level data feeds ($200/mo) point-by-point data for every Grand Slam since 2011. the kind of granularity you need for live Bayesian models. -> replaces shot-by-shot scouting reports 5,000+ matches charted shot by shot. direction, depth, error type. crowdsourced and free. -> replaces pre-match and in-match prediction services ELO + serve/return stats → win probability. updates during the match. exactly what a live Bayesian engine needs. -> replaces ball trajectory prediction tools CV analysis + CatBoost bounce prediction + separate court detector neural net. most advanced open-source tennis CV pipeline. -> replaces traditional bookmaker APIs Polymarket CLOB API. real-time share prices, orderbook depth, bid/ask spreads. no margin, no bookmaker - just the crowd. trade positions mid-match, not just pre-match. total before: $50K/year sports analytics stack total now: $0 like + bookmark you'll need this when you build your first tennis bot

zostaff

35,722 次观看 • 3 个月前

9 repos that mass replace a $150,000/year NBA analytics department. all free. all open source. -> replaces Second Spectrum and SportVU YOLO tracks every player and ball from any broadcast. assigns teams by jersey color. court keypoint detection builds a tactical top-down map. speed, distance, passes - all from a TV feed. no sensors. -> replaces paid NBA prediction services ($100/mo) XGBoost + Neural Net. moneyline and totals. Kelly Criterion sizing. 69% accuracy. pulls odds from FanDuel/DraftKings automatically. the most starred NBA betting repo on GitHub. -> replaces an entire quant sports desk 5-model ensemble: XGBoost + PyTorch MLP + Ridge + Lasso + baseline. Optuna-tuned hyperparameters. SQLite database with box scores, play-by-play, betting lines, injury reports. production-grade. -> replaces manual daily prediction workflows XGBoost/LightGBM with GitHub Actions automation. scrapes new data, retrains models, outputs daily win probabilities. set it and forget it. -> replaces ELO subscription services custom ELO + Ridge + XGBoost + Neural Networks ensemble. full data scraping pipeline. comprehensive visualizations. FiveThirtyEight-style ratings from scratch. -> replaces Four Factors analytics dashboards ELO rating system + Four Factors + PCA dimensionality reduction. detailed comparison of 10+ models. honest 65.3% accuracy - because that's what real NBA prediction looks like. -> replaces computer vision analytics platforms ($500/mo) YOLO player/ball tracking. automatic team assignment. court keypoints. pass and interception detection. speed and distance. full tactical view. modular architecture. -> replaces shot tracking hardware YOLOv8 detects ball and hoop in real-time. linear regression predicts trajectory. registers makes and misses automatically. works on any video feed. -> replaces paid sports data subscriptions ($300/mo) official Python client for NBA. com API. box scores, play-by-play, shot charts, player tracking. 40+ years of data. zero cost. the foundation every NBA ML project is built on. like + bookmark you'll need this when you build your first NBA prediction bot

9 repos that mass replace a $150,000/year NBA analytics department. all free. all open source. -> replaces Second Spectrum and SportVU YOLO tracks every player and ball from any broadcast. assigns teams by jersey color. court keypoint detection builds a tactical top-down map. speed, distance, passes - all from a TV feed. no sensors. -> replaces paid NBA prediction services ($100/mo) XGBoost + Neural Net. moneyline and totals. Kelly Criterion sizing. 69% accuracy. pulls odds from FanDuel/DraftKings automatically. the most starred NBA betting repo on GitHub. -> replaces an entire quant sports desk 5-model ensemble: XGBoost + PyTorch MLP + Ridge + Lasso + baseline. Optuna-tuned hyperparameters. SQLite database with box scores, play-by-play, betting lines, injury reports. production-grade. -> replaces manual daily prediction workflows XGBoost/LightGBM with GitHub Actions automation. scrapes new data, retrains models, outputs daily win probabilities. set it and forget it. -> replaces ELO subscription services custom ELO + Ridge + XGBoost + Neural Networks ensemble. full data scraping pipeline. comprehensive visualizations. FiveThirtyEight-style ratings from scratch. -> replaces Four Factors analytics dashboards ELO rating system + Four Factors + PCA dimensionality reduction. detailed comparison of 10+ models. honest 65.3% accuracy - because that's what real NBA prediction looks like. -> replaces computer vision analytics platforms ($500/mo) YOLO player/ball tracking. automatic team assignment. court keypoints. pass and interception detection. speed and distance. full tactical view. modular architecture. -> replaces shot tracking hardware YOLOv8 detects ball and hoop in real-time. linear regression predicts trajectory. registers makes and misses automatically. works on any video feed. -> replaces paid sports data subscriptions ($300/mo) official Python client for NBA. com API. box scores, play-by-play, shot charts, player tracking. 40+ years of data. zero cost. the foundation every NBA ML project is built on. like + bookmark you'll need this when you build your first NBA prediction bot

zostaff

102,941 次观看 • 3 个月前

10 repos that mass replace a $100,000/year football analytics department. all free. all open source. -> replaces Hawkeye and Second Spectrum YOLO tracks every player and ball from any broadcast. assigns teams by jersey color. calculates speed, distance, possession. from a TV feed. no sensors. -> replaces entire quant sports desk stacked ensemble: LightGBM + XGBoost + Neural Networks + Random Forest. scrapes FBRef automatically. ELO with dynamic K-factor. Poisson xG. MongoDB backend. the most complete open-source football prediction pipeline on GitHub. -> replaces paid prediction platforms ($30/mo) full GUI app. 7 ML algorithms. downloads data from football-data. co. uk. predicts upcoming fixtures. exports to Excel. one click. -> replaces manual feature engineering XGBoost with 354 hand-crafted features. works for any European league. data straight from football-data. co. uk. plug and predict. -> replaces value bet scanners ($50/mo) ELO + expected goals + offensive/defensive ratings. compares model probability vs Vegas lines. flags when you have edge. -> replaces bookmaker calibration tools Gradient Boosting tuned to output probabilities that match real bookmaker odds. not just accuracy - calibrated confidence. -> replaces StatsBomb xG subscription xG model from KU Leuven researchers. LogReg + XGBoost pipelines. supports Wyscout, StatsBomb, Opta data. academic grade. -> replaces xG analytics dashboards xG on StatsBomb open data. SHAP explanations for every prediction. proper calibration. tested on FIFA World Cup 2022. -> replaces basic prediction models Poisson distribution for goal simulation. the classical approach that still beats most ML models on draw prediction. -> replaces Premier League prediction services XGBoost + AdaBoost + SVM on EPL data. detailed EDA. confusion matrices. honest 56% accuracy - because football is hard. like + bookmark you'll need this when you build your first football prediction bot

10 repos that mass replace a $100,000/year football analytics department. all free. all open source. -> replaces Hawkeye and Second Spectrum YOLO tracks every player and ball from any broadcast. assigns teams by jersey color. calculates speed, distance, possession. from a TV feed. no sensors. -> replaces entire quant sports desk stacked ensemble: LightGBM + XGBoost + Neural Networks + Random Forest. scrapes FBRef automatically. ELO with dynamic K-factor. Poisson xG. MongoDB backend. the most complete open-source football prediction pipeline on GitHub. -> replaces paid prediction platforms ($30/mo) full GUI app. 7 ML algorithms. downloads data from football-data. co. uk. predicts upcoming fixtures. exports to Excel. one click. -> replaces manual feature engineering XGBoost with 354 hand-crafted features. works for any European league. data straight from football-data. co. uk. plug and predict. -> replaces value bet scanners ($50/mo) ELO + expected goals + offensive/defensive ratings. compares model probability vs Vegas lines. flags when you have edge. -> replaces bookmaker calibration tools Gradient Boosting tuned to output probabilities that match real bookmaker odds. not just accuracy - calibrated confidence. -> replaces StatsBomb xG subscription xG model from KU Leuven researchers. LogReg + XGBoost pipelines. supports Wyscout, StatsBomb, Opta data. academic grade. -> replaces xG analytics dashboards xG on StatsBomb open data. SHAP explanations for every prediction. proper calibration. tested on FIFA World Cup 2022. -> replaces basic prediction models Poisson distribution for goal simulation. the classical approach that still beats most ML models on draw prediction. -> replaces Premier League prediction services XGBoost + AdaBoost + SVM on EPL data. detailed EDA. confusion matrices. honest 56% accuracy - because football is hard. like + bookmark you'll need this when you build your first football prediction bot

zostaff

222,510 次观看 • 3 个月前

10 free github repos that can replace major SaaS with subscriptions. all free. open-sourced. some are MIT licensed. — 1️⃣ openscreen — replaces screen studio ($29/mo) - a clean macOS/windows/linux screen recorder for polished demos. - blur, cursor highlighting, annotations, export to mp4 or gif at any aspect ratio. - doesn't try to clone every feature, just nails the basics for quick walkthroughs you'd post on X. — 2️⃣ voicebox — replaces elevenlabs ($22/mo) + wisprflow ($15/mo) - local-first AI voice studio. - clone voices from 3 seconds of audio, generate speech across 7 TTS engines in 23 languages, - dictate into any text field with a global hotkey. - nothing leaves your machine. - runs on apple silicon, cuda, rocm. — 3️⃣ openshorts — replaces opus clip ($19/mo) + submagic ($16/mo) - free AI video platform. - clip generator turns long youtube videos into 9:16 shorts with auto-subtitles and face tracking (runs on free gemini + elevenlabs tiers). - also includes AI UGC video generation with actors — that part is pay-per-use via fal. ai (~$0.65-2 per video). docker self-host. — 4️⃣ freellmapi — replaces chatgpt pro + claude pro ($20/mo each) - stacks 14 free AI provider tiers (google, groq, cerebras, openrouter, github models + 9 more) behind one openai-compatible endpoint. ~800M tokens/month. - smart router with failover, sticky sessions, encrypted key storage. ships with a dashboard. — 5️⃣ playwright-mcp — replaces browserbase ($39/mo) + browser use ($25/mo) - microsoft's official MCP server that gives any AI agent full browser control. - uses accessibility trees, not screenshots — deterministic and token-efficient. - works with claude code, cursor, windsurf, codex out of the box. — 6️⃣ vibe-trading — replaces tradingview premium ($60/mo) - natural-language finance research agent. - 7 backtest engines across stocks, crypto, futures, forex. - 75 specialist skills (factor analysis, options strategy, ML strategy). - 29 multi-agent swarm presets. - 21 of 22 MCP tools work with zero API keys. — 7️⃣ CalCom — replaces calendly ($12/mo) + savvycal ($12/mo) - the open-source scheduling infrastructure. - one-on-ones, group events, round-robin, team booking, - payment collection (stripe), routing forms, workflows. - integrates with google/outlook/apple calendar, zoom, meet, teams. - self-host in 10 minutes with docker. 40k stars. — 8️⃣ whisper — replaces otter ($17/mo) - openAI's open-source speech-to-text model. - transcribe audio in 99 languages, translate to english, generate timestamps. - runs locally on cpu or gpu. - the actual model behind most "AI transcription" SaaS tools you're paying for. — 9️⃣ postiz — replaces buffer ($15/mo) - AI-powered social media scheduler. - cross-post to X, linkedin, instagram, tiktok, threads, bluesky, mastodon, youtube, pinterest. - AI captions and hashtags. - analytics dashboard. team workspaces. 31k stars and rising. — 🔟 vaultwarden — replaces 1password ($8/mo) - unofficial bitwarden-compatible server written in rust. - works with every official bitwarden client (mobile, desktop, browser). - unlimited users, unlimited vaults, full enterprise feature set. - runs on a $5 VPS or your home server. — disclaimer: open-source ≠ 1:1 replacement. you'll trade polish for ownership, hand-holding for control, and a credit card for a github version. for builders, prototypers, and indie hackers — that's the whole point. for everyone else, the paid tools still have their place. bookmark this. share with one friend bleeding subscription fees. ~m0h

10 free github repos that can replace major SaaS with subscriptions. all free. open-sourced. some are MIT licensed. — 1️⃣ openscreen — replaces screen studio ($29/mo) - a clean macOS/windows/linux screen recorder for polished demos. - blur, cursor highlighting, annotations, export to mp4 or gif at any aspect ratio. - doesn't try to clone every feature, just nails the basics for quick walkthroughs you'd post on X. — 2️⃣ voicebox — replaces elevenlabs ($22/mo) + wisprflow ($15/mo) - local-first AI voice studio. - clone voices from 3 seconds of audio, generate speech across 7 TTS engines in 23 languages, - dictate into any text field with a global hotkey. - nothing leaves your machine. - runs on apple silicon, cuda, rocm. — 3️⃣ openshorts — replaces opus clip ($19/mo) + submagic ($16/mo) - free AI video platform. - clip generator turns long youtube videos into 9:16 shorts with auto-subtitles and face tracking (runs on free gemini + elevenlabs tiers). - also includes AI UGC video generation with actors — that part is pay-per-use via fal. ai (~$0.65-2 per video). docker self-host. — 4️⃣ freellmapi — replaces chatgpt pro + claude pro ($20/mo each) - stacks 14 free AI provider tiers (google, groq, cerebras, openrouter, github models + 9 more) behind one openai-compatible endpoint. ~800M tokens/month. - smart router with failover, sticky sessions, encrypted key storage. ships with a dashboard. — 5️⃣ playwright-mcp — replaces browserbase ($39/mo) + browser use ($25/mo) - microsoft's official MCP server that gives any AI agent full browser control. - uses accessibility trees, not screenshots — deterministic and token-efficient. - works with claude code, cursor, windsurf, codex out of the box. — 6️⃣ vibe-trading — replaces tradingview premium ($60/mo) - natural-language finance research agent. - 7 backtest engines across stocks, crypto, futures, forex. - 75 specialist skills (factor analysis, options strategy, ML strategy). - 29 multi-agent swarm presets. - 21 of 22 MCP tools work with zero API keys. — 7️⃣ CalCom — replaces calendly ($12/mo) + savvycal ($12/mo) - the open-source scheduling infrastructure. - one-on-ones, group events, round-robin, team booking, - payment collection (stripe), routing forms, workflows. - integrates with google/outlook/apple calendar, zoom, meet, teams. - self-host in 10 minutes with docker. 40k stars. — 8️⃣ whisper — replaces otter ($17/mo) - openAI's open-source speech-to-text model. - transcribe audio in 99 languages, translate to english, generate timestamps. - runs locally on cpu or gpu. - the actual model behind most "AI transcription" SaaS tools you're paying for. — 9️⃣ postiz — replaces buffer ($15/mo) - AI-powered social media scheduler. - cross-post to X, linkedin, instagram, tiktok, threads, bluesky, mastodon, youtube, pinterest. - AI captions and hashtags. - analytics dashboard. team workspaces. 31k stars and rising. — 🔟 vaultwarden — replaces 1password ($8/mo) - unofficial bitwarden-compatible server written in rust. - works with every official bitwarden client (mobile, desktop, browser). - unlimited users, unlimited vaults, full enterprise feature set. - runs on a $5 VPS or your home server. — disclaimer: open-source ≠ 1:1 replacement. you'll trade polish for ownership, hand-holding for control, and a credit card for a github version. for builders, prototypers, and indie hackers — that's the whole point. for everyone else, the paid tools still have their place. bookmark this. share with one friend bleeding subscription fees. ~m0h

m0h

247,857 次观看 • 2 个月前

10 free Google AI tools nobody talks about. while everyone's burning $20/mo on chatgpt and claude, google quietly shipped a stack worth $200+/mo. all free. all yours. — 1️⃣ NotebookLM — your second brain upload sources (PDFs, websites, audio, YouTube). it summarizes, builds mind maps, generates quizzes, drafts slide decks, even turns your notes into a podcast you can listen to on a walk. free tier: 100 notebooks, 50 sources each, 50 chats/day, 3 audio overviews/day. replaces: notion AI + perplexity + readwise — 2️⃣ Google AI Studio — the free gemini playground web playground for gemini 3 pro and flash with a free API key. generous limits. paste a 1M-token context window and watch it actually use it. faster than the openai playground and free where openai charges per token. replaces: openai playground + paid API credits — 3️⃣ Gemini CLI — google's open-source terminal agent apache 2.0 licensed. one command (npx @google/gemini-cli) and you've got an agent in your terminal that reads your codebase, runs shell commands, and ships PRs. drop-in claude code alternative. replaces: claude code ($20/mo by default) — 4️⃣ Jules — async coding agent assign jules a github issue. it spins up a cloud VM, clones your repo, writes the plan, makes the changes, opens a PR. free tier: 15 tasks/day, 3 concurrent, runs on gemini flash. replaces: devin ($20/mo+) + cursor agent 5️⃣ Stitch — text → UI → code google's free figma killer. describe an interface, get production-ready HTML/CSS/Tailwind + figma export. march 2026 update added voice canvas, infinite canvas, and MCP integration with cursor. 350 standard + 200 experimental generations/month free. replaces: galileo AI + early-stage figma work — 6️⃣ Gemma 4 — open-weight LLM google's flagship open model. apache 2.0. 2B, 4B, 26B-MoE, and 31B variants. 256K context. runs on ollama with one command. quantized versions run on a 4090 or beefy laptop. replaces: paying for hosted LLM inference — 7️⃣ Illuminate — papers → podcasts paste an arxiv preprint link. illuminate turns dense research papers into a 6-8 min conversation between two AI hosts breaking it down. perfect for commute reading you can't do at a desk. note: still in waitlist for some regions. replaces: snipd + manual research reading — 8️⃣ Learn About (LearnLM) — adaptive AI tutor drop in any topic you're stuck on. highlight a word, click "go deeper," and the interface adapts in real time to your comprehension level. visual explanations, follow-up questions, the works. replaces: paid tutoring on niche topics — 9️⃣ Google Labs FX (ImageFX + Flow + MusicFX) — free imagen, veo, musicLM google labs creative suite. text-to-image (imagen 4), text-to-video (veo via Flow), text-to-music (musicLM). free tier: limited daily generations. the heavy veo 3.1 features are paid (AI Pro $19.99/mo). still worth using for image and music — those stay free. replaces: midjourney + suno (free tier only — runway-level video gen is paid) — 🔟 Google Colab — free GPU notebooks free T4 GPU + 12GB RAM in a browser tab. enough to fine-tune small models, run stable diffusion, prototype agents. the launching pad for half the ML projects on github. replaces: paid cloud GPU rentals — a quick honest note: these tools aren't 1:1 better than the paid versions they replace. but they're decent enough to get most things done — especially if you're not a heavy user or you've got little funds to play with. i've put all 10 in a public github repo (link in comments). follow + turn on post notifications for more useful posts like this 🔔

10 free Google AI tools nobody talks about. while everyone's burning $20/mo on chatgpt and claude, google quietly shipped a stack worth $200+/mo. all free. all yours. — 1️⃣ NotebookLM — your second brain upload sources (PDFs, websites, audio, YouTube). it summarizes, builds mind maps, generates quizzes, drafts slide decks, even turns your notes into a podcast you can listen to on a walk. free tier: 100 notebooks, 50 sources each, 50 chats/day, 3 audio overviews/day. replaces: notion AI + perplexity + readwise — 2️⃣ Google AI Studio — the free gemini playground web playground for gemini 3 pro and flash with a free API key. generous limits. paste a 1M-token context window and watch it actually use it. faster than the openai playground and free where openai charges per token. replaces: openai playground + paid API credits — 3️⃣ Gemini CLI — google's open-source terminal agent apache 2.0 licensed. one command (npx @google/gemini-cli) and you've got an agent in your terminal that reads your codebase, runs shell commands, and ships PRs. drop-in claude code alternative. replaces: claude code ($20/mo by default) — 4️⃣ Jules — async coding agent assign jules a github issue. it spins up a cloud VM, clones your repo, writes the plan, makes the changes, opens a PR. free tier: 15 tasks/day, 3 concurrent, runs on gemini flash. replaces: devin ($20/mo+) + cursor agent 5️⃣ Stitch — text → UI → code google's free figma killer. describe an interface, get production-ready HTML/CSS/Tailwind + figma export. march 2026 update added voice canvas, infinite canvas, and MCP integration with cursor. 350 standard + 200 experimental generations/month free. replaces: galileo AI + early-stage figma work — 6️⃣ Gemma 4 — open-weight LLM google's flagship open model. apache 2.0. 2B, 4B, 26B-MoE, and 31B variants. 256K context. runs on ollama with one command. quantized versions run on a 4090 or beefy laptop. replaces: paying for hosted LLM inference — 7️⃣ Illuminate — papers → podcasts paste an arxiv preprint link. illuminate turns dense research papers into a 6-8 min conversation between two AI hosts breaking it down. perfect for commute reading you can't do at a desk. note: still in waitlist for some regions. replaces: snipd + manual research reading — 8️⃣ Learn About (LearnLM) — adaptive AI tutor drop in any topic you're stuck on. highlight a word, click "go deeper," and the interface adapts in real time to your comprehension level. visual explanations, follow-up questions, the works. replaces: paid tutoring on niche topics — 9️⃣ Google Labs FX (ImageFX + Flow + MusicFX) — free imagen, veo, musicLM google labs creative suite. text-to-image (imagen 4), text-to-video (veo via Flow), text-to-music (musicLM). free tier: limited daily generations. the heavy veo 3.1 features are paid (AI Pro $19.99/mo). still worth using for image and music — those stay free. replaces: midjourney + suno (free tier only — runway-level video gen is paid) — 🔟 Google Colab — free GPU notebooks free T4 GPU + 12GB RAM in a browser tab. enough to fine-tune small models, run stable diffusion, prototype agents. the launching pad for half the ML projects on github. replaces: paid cloud GPU rentals — a quick honest note: these tools aren't 1:1 better than the paid versions they replace. but they're decent enough to get most things done — especially if you're not a heavy user or you've got little funds to play with. i've put all 10 in a public github repo (link in comments). follow + turn on post notifications for more useful posts like this 🔔

m0h

11,847 次观看 • 2 个月前

these 5 GitHub repos replaced my $2,400/month trading setup you're spending thousands on software anyone can fork the repos behind those tools are sitting on GitHub for free here's what i actually run: 1. fredapi (1K ★) Bloomberg charges $2,000/mo for macro data this pulls every Fed dataset into Python with one API key GDP, CPI, rates, employment - pair it with Claude and you're set /// 2. ccxt (42K ★) i was paying $50/mo per exchange just for API access ccxt connects 107 exchanges through one interface JS; Python; PHP; Go; C# the industry standard since day one /// 3. freqtrade (47K ★) killed my $200/mo bot subscription in one afternoon backtesting, hyperopt, FreqAI, live on 20+ exchanges 7 years of weekly commits. Telegram control. your strategies stay yours /// 4. OpenBB (40K ★) equities, options, crypto, fixed income, macro - one terminal plugs into Python, Excel, REST API, MCP for AI agents my $500/mo data feed couldn't do half of this /// 5. goose (40K ★) by Block (Jack Dorsey). Rust. Apache 2.0 full AI coding agent. any LLM. 3,000+ MCP tools. runs locally the $200/mo i was spending on Claude Code now costs me $0 /// bookmark this and thank me later

these 5 GitHub repos replaced my $2,400/month trading setup you're spending thousands on software anyone can fork the repos behind those tools are sitting on GitHub for free here's what i actually run: 1. fredapi (1K ★) Bloomberg charges $2,000/mo for macro data this pulls every Fed dataset into Python with one API key GDP, CPI, rates, employment - pair it with Claude and you're set /// 2. ccxt (42K ★) i was paying $50/mo per exchange just for API access ccxt connects 107 exchanges through one interface JS; Python; PHP; Go; C# the industry standard since day one /// 3. freqtrade (47K ★) killed my $200/mo bot subscription in one afternoon backtesting, hyperopt, FreqAI, live on 20+ exchanges 7 years of weekly commits. Telegram control. your strategies stay yours /// 4. OpenBB (40K ★) equities, options, crypto, fixed income, macro - one terminal plugs into Python, Excel, REST API, MCP for AI agents my $500/mo data feed couldn't do half of this /// 5. goose (40K ★) by Block (Jack Dorsey). Rust. Apache 2.0 full AI coding agent. any LLM. 3,000+ MCP tools. runs locally the $200/mo i was spending on Claude Code now costs me $0 /// bookmark this and thank me later

Hanako

54,923 次观看 • 4 个月前

Tools from this article earn the creator of this bot $1,000,000. I reverse-engineered it and gave you all the tools completely for free. 28 repositories. 6 layers of execution - from bot reasoning engine all the way to paper-trading strategies. On-chain proof of the $1M wallet: This bot doesn’t predict the future. It exploits inefficiencies. This is literally what separates every single top leaderboard wallet - pure math edge, not crystal ball magic. Bot brain = Claude Squad with multiple Opus agents running in parallel. Trading management = Agency Agents, a pro swarm engine that replaces an entire PhD dev team. Full data collection suite (OpenBB + Binance collector + everything else you need). All the necessary repos for trading intelligence, strategy backtesting and Polymarket API interaction are included. This isn’t some basic script anymore - this is a full quant pipeline that shows you exactly how real trading algorithms are built. Bookmark this post or you’ll lose the article. Or start making money right now - copy trades of this $1M PnL bot using copy-trading terminal:

Tools from this article earn the creator of this bot $1,000,000. I reverse-engineered it and gave you all the tools completely for free. 28 repositories. 6 layers of execution - from bot reasoning engine all the way to paper-trading strategies. On-chain proof of the $1M wallet: This bot doesn’t predict the future. It exploits inefficiencies. This is literally what separates every single top leaderboard wallet - pure math edge, not crystal ball magic. Bot brain = Claude Squad with multiple Opus agents running in parallel. Trading management = Agency Agents, a pro swarm engine that replaces an entire PhD dev team. Full data collection suite (OpenBB + Binance collector + everything else you need). All the necessary repos for trading intelligence, strategy backtesting and Polymarket API interaction are included. This isn’t some basic script anymore - this is a full quant pipeline that shows you exactly how real trading algorithms are built. Bookmark this post or you’ll lose the article. Or start making money right now - copy trades of this $1M PnL bot using copy-trading terminal:

cvxv666

56,293 次观看 • 3 个月前

Most traders spend thousands of dollars on tools. Meanwhile, free GitHub repos can replace almost everything - at zero cost. Bookmark this, so you don't lose it. 1. FinceptTerminal (+10.7K ★) • A real Bloomberg Terminal alternative - built in C++20 + Qt6. • 37 AI agents modeled after Buffett, Munger, and Graham. 🔗 2. TradingAgents (+1.5K ★) • Multi-agent trading system (UCLA/MIT research). • Fundamental + sentiment + technical + risk agents • Works with Claude, GPT, Gemini, Grok 🔗 3. last30days-skill (+1.4K ★) • AI agent skill for recent signal (last 30 days) across Reddit, X, YouTube, HN, Polymarket. 🔗 4. daily_stock_analysis (+31K ★) • LLM-powered stock analysis engine. • US + A-share + H-share markets • Daily dashboards with entry/exit levels • Auto delivery via Telegram, Discord, Email 🔗 5. QuantDinger (+919 ★) • Self-hosted AI quant OS. • Strategy generation + backtesting + live trading • Crypto, stocks (IBKR), forex (MT5) 🔗 6. HKUDS/Vibe-Trading (+611 ★) • Natural language → strategy → backtest → execution. • 70+ finance skills • Export to TradingView / MT5 🔗 7. freqtrade (+467 ★) • Open-source crypto trading bot. • Multi-exchange support • Backtesting + optimization • Telegram control 🔗 8. OpenBB (+447 ★) • Open-source Bloomberg Terminal alternative. • Stocks, crypto, options, macro • AI-native integrations (MCP) 🔗 9. 500 AI Agents Projects (+386 ★) • Curated collection of real-world AI agent use cases (including finance). 🔗 10. AlphaCartel Discord (+1280 ★) • 100% free community for AI traders:

Most traders spend thousands of dollars on tools. Meanwhile, free GitHub repos can replace almost everything - at zero cost. Bookmark this, so you don't lose it. 1. FinceptTerminal (+10.7K ★) • A real Bloomberg Terminal alternative - built in C++20 + Qt6. • 37 AI agents modeled after Buffett, Munger, and Graham. 🔗 2. TradingAgents (+1.5K ★) • Multi-agent trading system (UCLA/MIT research). • Fundamental + sentiment + technical + risk agents • Works with Claude, GPT, Gemini, Grok 🔗 3. last30days-skill (+1.4K ★) • AI agent skill for recent signal (last 30 days) across Reddit, X, YouTube, HN, Polymarket. 🔗 4. daily_stock_analysis (+31K ★) • LLM-powered stock analysis engine. • US + A-share + H-share markets • Daily dashboards with entry/exit levels • Auto delivery via Telegram, Discord, Email 🔗 5. QuantDinger (+919 ★) • Self-hosted AI quant OS. • Strategy generation + backtesting + live trading • Crypto, stocks (IBKR), forex (MT5) 🔗 6. HKUDS/Vibe-Trading (+611 ★) • Natural language → strategy → backtest → execution. • 70+ finance skills • Export to TradingView / MT5 🔗 7. freqtrade (+467 ★) • Open-source crypto trading bot. • Multi-exchange support • Backtesting + optimization • Telegram control 🔗 8. OpenBB (+447 ★) • Open-source Bloomberg Terminal alternative. • Stocks, crypto, options, macro • AI-native integrations (MCP) 🔗 9. 500 AI Agents Projects (+386 ★) • Curated collection of real-world AI agent use cases (including finance). 🔗 10. AlphaCartel Discord (+1280 ★) • 100% free community for AI traders:

AlphaCartel

30,801 次观看 • 3 个月前

10 GitHub repos with 560k+ ⭐ combined stars that could save vibe coders $15,000+/year in SaaS bills 1. shadcn/ui ⭐121k - copy-paste components, not a package. What every AI-generated frontend is actually built on now. 2. supabase ⭐108k - Firebase alternative that's actually free to start. Auth, DB, storage in one Claude Code prompt. 3.open-design ⭐84.5k - open-source Claude Design alternative. Your coding agent becomes the design engine. 4. awesome-ai-agents ⭐29k - every agent framework and no-code builder in one list, ranked by what people actually ship. 5. awesome-generative-ai-apps ⭐3k - 50+ open-source AI apps you can clone, deploy, and monetize instead of paying $30-50/mo for the SaaS version. 6. medusa ⭐35k - full ecommerce backend, open source. Skip Shopify Plus fees entirely on your next vibe-coded store. 7. appwrite ⭐57k - complete backend-as-a-service, self-hosted. Auth, DB, functions, storage, one prompt away from Firebase money. 8. chatwoot ⭐35k - customer support platform, self-hosted. Replaces Intercom/Zendesk seats running $100+/agent/month. 9. nocodb ⭐64k - turns any database into an Airtable-style interface. 10. activepieces ⭐23k - open-source Zapier alternative built for AI workflows. Automate without the per-task pricing. Save this before you pay for another tool this repo already replaces for free 👇

10 GitHub repos with 560k+ ⭐ combined stars that could save vibe coders $15,000+/year in SaaS bills 1. shadcn/ui ⭐121k - copy-paste components, not a package. What every AI-generated frontend is actually built on now. 2. supabase ⭐108k - Firebase alternative that's actually free to start. Auth, DB, storage in one Claude Code prompt. 3.open-design ⭐84.5k - open-source Claude Design alternative. Your coding agent becomes the design engine. 4. awesome-ai-agents ⭐29k - every agent framework and no-code builder in one list, ranked by what people actually ship. 5. awesome-generative-ai-apps ⭐3k - 50+ open-source AI apps you can clone, deploy, and monetize instead of paying $30-50/mo for the SaaS version. 6. medusa ⭐35k - full ecommerce backend, open source. Skip Shopify Plus fees entirely on your next vibe-coded store. 7. appwrite ⭐57k - complete backend-as-a-service, self-hosted. Auth, DB, functions, storage, one prompt away from Firebase money. 8. chatwoot ⭐35k - customer support platform, self-hosted. Replaces Intercom/Zendesk seats running $100+/agent/month. 9. nocodb ⭐64k - turns any database into an Airtable-style interface. 10. activepieces ⭐23k - open-source Zapier alternative built for AI workflows. Automate without the per-task pricing. Save this before you pay for another tool this repo already replaces for free 👇

unicode

46,786 次观看 • 5 天前

Anthropic want to launch CLAUDE RS automated trading bot for Polymarket After automating trading of the S&P500 they went further and are entering the cryptocurrency market For example they took a Polymarket bot that turned $1.60 into $1 000 000 in 4 month His account is BoneReader: Copytrading like Claude: How it works: - Claude monitors hundreds of wallets 24/7 - Evaluates win rates, market timing and sizing - Tests micro trades to find the best strategy - Executes automatically with AL and TP rules This is why AI is mandatory in 2026. Markets move faster than humans, I've been telling it for months. Your edge is speed, analysis, and execution. Anyone still clicking buttons manually will lose edge within months. This is the future. Manual trading is probably dead FOREVER. Like comment retweet and I will send you an open GitHub with a similar bot on which I managed to earn $4700 in 3 days Don’t forget to follow so I can DM you

Anthropic want to launch CLAUDE RS automated trading bot for Polymarket After automating trading of the S&P500 they went further and are entering the cryptocurrency market For example they took a Polymarket bot that turned $1.60 into $1 000 000 in 4 month His account is BoneReader: Copytrading like Claude: How it works: - Claude monitors hundreds of wallets 24/7 - Evaluates win rates, market timing and sizing - Tests micro trades to find the best strategy - Executes automatically with AL and TP rules This is why AI is mandatory in 2026. Markets move faster than humans, I've been telling it for months. Your edge is speed, analysis, and execution. Anyone still clicking buttons manually will lose edge within months. This is the future. Manual trading is probably dead FOREVER. Like comment retweet and I will send you an open GitHub with a similar bot on which I managed to earn $4700 in 3 days Don’t forget to follow so I can DM you

AdiiX

67,243 次观看 • 4 个月前

10 free GitHub repos that can save you hundreds every month. open-source. free to use. better than most people think. ↓ 1️⃣ OpenScreen — an alternative to Screen Studio ($29/mo) • record polished demos on macOS, Windows, and Linux • automatic cursor effects, blur, annotations, GIF + MP4 export • lightweight and perfect for product walkthroughs without extra editing — 2️⃣ VoiceBox — an alternative to ElevenLabs ($22/mo) + Wispr Flow ($15/mo) • privacy-first AI voice toolkit that runs locally • clone voices with a few seconds of audio • supports 7 TTS engines, 23 languages, and system-wide voice dictation • works with Apple Silicon, CUDA, and ROCm — 3️⃣ OpenShorts — an alternative to Opus Clip ($19/mo) + Submagic ($16/mo) • convert long videos into viral vertical clips • auto captions, face tracking, and AI clip selection • includes AI UGC video generation • easy Docker deployment for self-hosting — 4️⃣ FreeLLMAPI — an alternative to ChatGPT Pro + Claude Pro ($20/mo each) • combine 14 free AI providers behind one API • OpenAI-compatible endpoint • roughly 800M free tokens/month • built-in routing, failover, encrypted key storage, and dashboard — 5️⃣ Playwright MCP — an alternative to Browserbase ($39/mo) + Browser Use ($25/mo) • Microsoft's official browser automation MCP • AI agents interact using accessibility trees instead of screenshots • faster, cheaper, and more reliable automation • works with Claude Code, Cursor, Windsurf, and Codex — 6️⃣ Vibe Trading — an alternative to TradingView Premium ($60/mo) • AI-powered investing and strategy research platform • supports stocks, crypto, forex, futures, and options • dozens of built-in research skills • backtesting included without requiring paid APIs — 7️⃣ — an alternative to Calendly ($12/mo) + SavvyCal ($12/mo) • open-source scheduling platform • round robin, team scheduling, routing forms, payments • integrates with Google Calendar, Outlook, Apple Calendar, Zoom, Meet, and Teams • deploy yourself in minutes — 8️⃣ Whisper — an alternative to ($17/mo) • OpenAI's speech recognition model • transcribes and translates audio in nearly 100 languages • timestamp support included • runs locally on CPU or GPU — 9️⃣ Postiz — an alternative to Buffer ($15/mo) • schedule content across all major social platforms • AI-generated captions and hashtags • built-in analytics and collaborative workspaces • growing rapidly with a large open-source community — 🔟 Vaultwarden — an alternative to 1Password ($8/mo) • lightweight Bitwarden-compatible server written in Rust • works with official Bitwarden apps • unlimited users and vaults • self-host on almost any VPS or home server — Worth knowing: Open-source isn't always a perfect replacement. You may spend a little more time setting things up. In return, you get: • no monthly subscription • full ownership of your data • complete control over your workflow That's a trade many builders happily make. Save this for later. Someone on your timeline is probably paying for at least three of these. — Kshitij Mishra

10 free GitHub repos that can save you hundreds every month. open-source. free to use. better than most people think. ↓ 1️⃣ OpenScreen — an alternative to Screen Studio ($29/mo) • record polished demos on macOS, Windows, and Linux • automatic cursor effects, blur, annotations, GIF + MP4 export • lightweight and perfect for product walkthroughs without extra editing — 2️⃣ VoiceBox — an alternative to ElevenLabs ($22/mo) + Wispr Flow ($15/mo) • privacy-first AI voice toolkit that runs locally • clone voices with a few seconds of audio • supports 7 TTS engines, 23 languages, and system-wide voice dictation • works with Apple Silicon, CUDA, and ROCm — 3️⃣ OpenShorts — an alternative to Opus Clip ($19/mo) + Submagic ($16/mo) • convert long videos into viral vertical clips • auto captions, face tracking, and AI clip selection • includes AI UGC video generation • easy Docker deployment for self-hosting — 4️⃣ FreeLLMAPI — an alternative to ChatGPT Pro + Claude Pro ($20/mo each) • combine 14 free AI providers behind one API • OpenAI-compatible endpoint • roughly 800M free tokens/month • built-in routing, failover, encrypted key storage, and dashboard — 5️⃣ Playwright MCP — an alternative to Browserbase ($39/mo) + Browser Use ($25/mo) • Microsoft's official browser automation MCP • AI agents interact using accessibility trees instead of screenshots • faster, cheaper, and more reliable automation • works with Claude Code, Cursor, Windsurf, and Codex — 6️⃣ Vibe Trading — an alternative to TradingView Premium ($60/mo) • AI-powered investing and strategy research platform • supports stocks, crypto, forex, futures, and options • dozens of built-in research skills • backtesting included without requiring paid APIs — 7️⃣ — an alternative to Calendly ($12/mo) + SavvyCal ($12/mo) • open-source scheduling platform • round robin, team scheduling, routing forms, payments • integrates with Google Calendar, Outlook, Apple Calendar, Zoom, Meet, and Teams • deploy yourself in minutes — 8️⃣ Whisper — an alternative to ($17/mo) • OpenAI's speech recognition model • transcribes and translates audio in nearly 100 languages • timestamp support included • runs locally on CPU or GPU — 9️⃣ Postiz — an alternative to Buffer ($15/mo) • schedule content across all major social platforms • AI-generated captions and hashtags • built-in analytics and collaborative workspaces • growing rapidly with a large open-source community — 🔟 Vaultwarden — an alternative to 1Password ($8/mo) • lightweight Bitwarden-compatible server written in Rust • works with official Bitwarden apps • unlimited users and vaults • self-host on almost any VPS or home server — Worth knowing: Open-source isn't always a perfect replacement. You may spend a little more time setting things up. In return, you get: • no monthly subscription • full ownership of your data • complete control over your workflow That's a trade many builders happily make. Save this for later. Someone on your timeline is probably paying for at least three of these. — Kshitij Mishra

Kshitij Mishra | AI & Tech

16,543 次观看 • 1 个月前

an ex-OpenAI researcher pushed his trading system to GitHub the night he got fired someone in a crypto Discord dropped the link at 2am. "this repo appeared an hour ago. zero stars. readme says internal use only. the code looks real" i clicked. it was a complete prediction market execution engine. bayesian consensus scoring. whale divergence tracker. kelly position sizing. edge detection on 5-minute BTC binary markets. clean Python. commented like someone who writes for a team. i ran git clone before finishing the readme. by 4am the repo was gone. deleted. commits. branches. history. everything. but i had it. opened a Chinese AI. gave it the code and one prompt. "adapt this for Polymarket. deploy it live. keep the scoring logic intact" 18,000 stars. open source HFT framework. the AI used it as the execution backbone. order routing. position management. risk controls. merged the stolen scoring model with hummingbot's engine. system was live by sunrise. 288 BTC markets per day. every 5 minutes. the crowd bets direction. his model doesn't care about direction. it buys whichever side the crowd underpriced. pair cost below 99c = profit regardless of outcome. the part that scared me: it worked immediately. first trade. green. second trade. green. third. fourth. fifth. all green. like it was built by someone who actually knew what they were doing. because it was. edge table live: BTC+100K 15m +7.5c. BTC+103K 30m spread 7c. BTC+101K +12.0c. BTC 0xd8dA...6045 +$9,260. 92%. > 0xBE0e...48CD +$7,147. 85%. > 0x47ac...d563 +$5,874. 81%. 323 trades. 85% win rate. sharpe 3.96. drawdown -0.9%. +$19,812 from $1,100 seed. my setup: > AI - $20/mo > VPS - $5/mo > hummingbot - free > his code - free now copy setup you can here: checked his GitHub profile last week. still active. new repos. normal stuff. open source contributions. no mention of the deleted repo anywhere. he has no idea someone cloned it four minutes before it disappeared. and now you're reading what was in it.

Hanako

23,546 次观看 • 3 个月前

Claude and a free weather API will earn you $100k+. Success rate for beginners: 80%. Complete guide and algorithm for building Polymarket weather trading bot. Simple logic, a low entry budget and high ROI -that’s why weather bots are so clean. Onchain proof these bots exist: 1st bot: 2nd bot: I verified their profitability by myself copying every trade - each bot's win rate over time ranges from 80 to 90%. I grew my starting capital by +40% in just one week. You can copy their trades and see for yourself in two clicks through this bot: The alpha is simple: you're not trading weather. You're trading other people's ignorance. Gap between what the crowd prices and what 51 ensemble models say. Polymarket asks: "Will Atlanta hit 95°F tomorrow?" Normies bet on vibes. You bet on math. The core tool: Open-Meteo API. Free. No key needed. 51-model ensemble. Clean JSON. Cooked and ready. Update every 30 min. Hardcode your city coordinates - don't waste time on geocoding at runtime. This single endpoint beats most paid tools for what Polymarket actually needs. The edge in one sentence: Market is heavy on 16°C. Your 51-model ensemble points at 19°C. That's your trade. Find that gap systematically across every city market, every day - and you have a scanner. That's what separates consistent traders from gamblers. How to start: - Week 1: Open-Meteo + tropicaltidbits. Pick one city market. Track model vs market price daily. Don't trade yet — just watch where you'd have been right. - Weeks 2–3: Automate the pull. Log ensemble divergences. Build the scanner. - Week 4: Now you have an edge. Trade it. Most people want to skip to week 4. That's exactly why most people lose. Now you have the algorithm framework plus a complete guide to get started. All that's left is to actually do it. Bookmark this post so you can come back to it when you start building the bot.

Claude and a free weather API will earn you $100k+. Success rate for beginners: 80%. Complete guide and algorithm for building Polymarket weather trading bot. Simple logic, a low entry budget and high ROI -that’s why weather bots are so clean. Onchain proof these bots exist: 1st bot: 2nd bot: I verified their profitability by myself copying every trade - each bot's win rate over time ranges from 80 to 90%. I grew my starting capital by +40% in just one week. You can copy their trades and see for yourself in two clicks through this bot: The alpha is simple: you're not trading weather. You're trading other people's ignorance. Gap between what the crowd prices and what 51 ensemble models say. Polymarket asks: "Will Atlanta hit 95°F tomorrow?" Normies bet on vibes. You bet on math. The core tool: Open-Meteo API. Free. No key needed. 51-model ensemble. Clean JSON. Cooked and ready. Update every 30 min. Hardcode your city coordinates - don't waste time on geocoding at runtime. This single endpoint beats most paid tools for what Polymarket actually needs. The edge in one sentence: Market is heavy on 16°C. Your 51-model ensemble points at 19°C. That's your trade. Find that gap systematically across every city market, every day - and you have a scanner. That's what separates consistent traders from gamblers. How to start: - Week 1: Open-Meteo + tropicaltidbits. Pick one city market. Track model vs market price daily. Don't trade yet — just watch where you'd have been right. - Weeks 2–3: Automate the pull. Log ensemble divergences. Build the scanner. - Week 4: Now you have an edge. Trade it. Most people want to skip to week 4. That's exactly why most people lose. Now you have the algorithm framework plus a complete guide to get started. All that's left is to actually do it. Bookmark this post so you can come back to it when you start building the bot.

cvxv666

50,799 次观看 • 4 个月前

$This is the biggest irony in tech history. Microsoft beat revenue estimates. Stock plunged 11%, wiped out $400 BILLION in market cap. Salesforce reported growth. Stock fell 5.6%. ServiceNow beat earnings. Stock crashed 11%. SAP beat projections. Stock dropped 16%. Entire software sector entered bear market territory. Down 22% from peak. These are the companies everyone said would WIN from AI. They spent billions BUYING AI companies. ServiceNow: $7.75 billion for Armis. Salesforce: $8 billion for Informatica. They launched AI products. Built AI workflows. Hired AI teams. And the market said: You're all dead. Because investors just realized something nobody wanted to admit: AI doesn't make software companies stronger. AI makes software companies OBSOLETE. Morgan Stanley: "In an environment of heightened investor skepticism, stable growth falls short of shifting the narrative." Good earnings aren't enough anymore. The market is pricing in a world where AI replaces the software these companies sell. ServiceNow CEO tried defending on the earnings call: "AI needs workflow orchestration. ServiceNow is the gateway to this shift." Market response: 11% crash. Because here's what he didn't say: If AI can write code, automate workflows, and generate apps at a fraction of the cost, why would anyone pay $50,000 per year for enterprise software licenses? The per-seat pricing model that made SaaS companies rich is getting murdered by AI efficiency. One AI agent replaces 10 seats. One prompt replaces months of custom development. One LLM call replaces entire software categories. Klarna already proved it. CEO said they pulled Salesforce out of their stack. Built everything themselves using AI. And that's just the beginning. The software apocalypse hit hardest on companies that INVESTED IN AI: Atlassian: down 12.6% Intuit: down 7.8% HubSpot: down 11.5% Zscaler: down 6.3% Meanwhile, the companies ENABLING AI made money: Nvidia: up Semiconductor stocks: surging Memory firms: rallying The divide is brutal. Hardware companies print cash. Software companies get destroyed. Because in an AI-first world, you need GPUs to build the models. But you don't need software subscriptions when the AI builds the software for you. Jim Cramer called it the "P/E multiple compression crisis." Translation: Investors don't care about earnings anymore. They care about whether your business model survives the next 5 years. And right now software business models look doomed. They're literally stuck: If they DON'T invest in AI, they fall behind. If they DO invest in AI, they cannibalize their own products. It's a death spiral with no exit. ServiceNow spent $12 BILLION on acquisitions in 2025 alone. Trying to buy their way into relevance. And yesterday the market cooked them. The craziest thing to me tho... Most software companies beat earnings. Revenue was solid. Growth was fine. But it didn't matter. Because the market stopped pricing software on what it earns TODAY. It's pricing software on what it's worth in a world where AI does the job for free. And in that world these companies are worth nothing. This is the biggest sector repricing since 2008. $500 billion in market value gone in ONE DAY. And it's not stopping. Because every company watching this is thinking the same thing: "If I can replace ServiceNow with 3 AI agents and save $10 million per year, why wouldn't I?" The answer used to be: "Because you need enterprise-grade reliability." But now? AI agents are getting reliable. Fast. Software companies just realized they're competing with open-source models that cost $0.02 per 1,000 tokens. You can't win a pricing war against free. The companies that spent BILLIONS preparing for AI are getting killed BY AI. What an irony.$

This is the biggest irony in tech history. Microsoft beat revenue estimates. Stock plunged 11%, wiped out $400 BILLION in market cap. Salesforce reported growth. Stock fell 5.6%. ServiceNow beat earnings. Stock crashed 11%. SAP beat projections. Stock dropped 16%. Entire software sector entered bear market territory. Down 22% from peak. These are the companies everyone said would WIN from AI. They spent billions BUYING AI companies. ServiceNow: $7.75 billion for Armis. Salesforce: $8 billion for Informatica. They launched AI products. Built AI workflows. Hired AI teams. And the market said: You're all dead. Because investors just realized something nobody wanted to admit: AI doesn't make software companies stronger. AI makes software companies OBSOLETE. Morgan Stanley: "In an environment of heightened investor skepticism, stable growth falls short of shifting the narrative." Good earnings aren't enough anymore. The market is pricing in a world where AI replaces the software these companies sell. ServiceNow CEO tried defending on the earnings call: "AI needs workflow orchestration. ServiceNow is the gateway to this shift." Market response: 11% crash. Because here's what he didn't say: If AI can write code, automate workflows, and generate apps at a fraction of the cost, why would anyone pay $50,000 per year for enterprise software licenses? The per-seat pricing model that made SaaS companies rich is getting murdered by AI efficiency. One AI agent replaces 10 seats. One prompt replaces months of custom development. One LLM call replaces entire software categories. Klarna already proved it. CEO said they pulled Salesforce out of their stack. Built everything themselves using AI. And that's just the beginning. The software apocalypse hit hardest on companies that INVESTED IN AI: Atlassian: down 12.6% Intuit: down 7.8% HubSpot: down 11.5% Zscaler: down 6.3% Meanwhile, the companies ENABLING AI made money: Nvidia: up Semiconductor stocks: surging Memory firms: rallying The divide is brutal. Hardware companies print cash. Software companies get destroyed. Because in an AI-first world, you need GPUs to build the models. But you don't need software subscriptions when the AI builds the software for you. Jim Cramer called it the "P/E multiple compression crisis." Translation: Investors don't care about earnings anymore. They care about whether your business model survives the next 5 years. And right now software business models look doomed. They're literally stuck: If they DON'T invest in AI, they fall behind. If they DO invest in AI, they cannibalize their own products. It's a death spiral with no exit. ServiceNow spent $12 BILLION on acquisitions in 2025 alone. Trying to buy their way into relevance. And yesterday the market cooked them. The craziest thing to me tho... Most software companies beat earnings. Revenue was solid. Growth was fine. But it didn't matter. Because the market stopped pricing software on what it earns TODAY. It's pricing software on what it's worth in a world where AI does the job for free. And in that world these companies are worth nothing. This is the biggest sector repricing since 2008. $500 billion in market value gone in ONE DAY. And it's not stopping. Because every company watching this is thinking the same thing: "If I can replace ServiceNow with 3 AI agents and save $10 million per year, why wouldn't I?" The answer used to be: "Because you need enterprise-grade reliability." But now? AI agents are getting reliable. Fast. Software companies just realized they're competing with open-source models that cost $0.02 per 1,000 tokens. You can't win a pricing war against free. The companies that spent BILLIONS preparing for AI are getting killed BY AI. What an irony.

Ricardo

1,814,969 次观看 • 6 个月前

ANTHROPIC IS PREPARING TO RELEASE CLAUDE RS - AN AUTOMATED TRADING BOT FOR POLYMARKET Having already automated S&P500 and SPX trading , the company is now making its move into the crypto space. One standout case: a Polymarket bot that grew $1.98 into $1,031,000 over just 4 months. The account behind -> [BoneReader]: -> Mirror its trades like Claude does here: Just add his wallet and start earning: 0xd84c2b6d65dc596f49c7b6aadd6d74ca91e407b9 Here's the breakdown of how it operates: // --> The system tracks hundreds of wallets around the clock. --> It analyzes win rates, entry timing, and position sizing. --> Small test trades are run to identify the most effective strategy. --> Everything is executed automatically with pre-set SL and TP levels. // This is exactly why AI is no longer optional in 2026. Markets move at a pace no human can keep up with and I've been saying this for weeks ngl. Your real advantage lies in speed, deep analysis, and flawless execution. Anyone still trading manually will find their edge gone within months. This is where everything is headed imo. Manual trading is most likely dead and it's not coming back. Like, comment, retweet and I'll drop you an open GitHub link to a similar bot that helped me pull in $2,660 in just 5 days. Follow me so I can DM you directly. Also don't forget to SAVE THIS ALPHA.

ANTHROPIC IS PREPARING TO RELEASE CLAUDE RS - AN AUTOMATED TRADING BOT FOR POLYMARKET Having already automated S&P500 and SPX trading , the company is now making its move into the crypto space. One standout case: a Polymarket bot that grew $1.98 into $1,031,000 over just 4 months. The account behind -> [BoneReader]: -> Mirror its trades like Claude does here: Just add his wallet and start earning: 0xd84c2b6d65dc596f49c7b6aadd6d74ca91e407b9 Here's the breakdown of how it operates: // --> The system tracks hundreds of wallets around the clock. --> It analyzes win rates, entry timing, and position sizing. --> Small test trades are run to identify the most effective strategy. --> Everything is executed automatically with pre-set SL and TP levels. // This is exactly why AI is no longer optional in 2026. Markets move at a pace no human can keep up with and I've been saying this for weeks ngl. Your real advantage lies in speed, deep analysis, and flawless execution. Anyone still trading manually will find their edge gone within months. This is where everything is headed imo. Manual trading is most likely dead and it's not coming back. Like, comment, retweet and I'll drop you an open GitHub link to a similar bot that helped me pull in $2,660 in just 5 days. Follow me so I can DM you directly. Also don't forget to SAVE THIS ALPHA.

slash1s

154,546 次观看 • 4 个月前