Darshana Manikkuwadura (Dash)

800M FREE TOKENS A MONTH JUST OPEN SOURCED AND PEOPLE ARE STILL PAYING API BILLS

12 paid AI tools vs FREE replacements (most people don’t know #4 👀) 🔖 Bookmark this for later. 1. Research Paid: ChatGPT.com Free: Deepseek.com 2. Video Paid: HeyGen.com Free: AirMore.ai 3. Design Paid: Canva.com Free: Photopea.com 4. Image Generation Paid: Midjourney.com Free: Leonardo.ai 5. Coding Assistant Paid: Cursor.sh Free: Codeium.com 6. Presentation Maker Paid: Gamma.app Free: Slidesgo.com 7. Voice Cloning Paid: ElevenLabs.io Free: PlayHT.com 8. Video Editing Paid: Runwayml.com Free: CapCut.com 9. AI Writing Paid: Jasper.ai Free: Writesonic.com 10. Automation Paid: Zapier.com Free: IFTTT.com 11. Website Builder Paid: Webflow.com Free: Carrd.co 12. AI Meeting Notes Paid: Fireflies.ai Free: Fathom.video

A 22 YEAR OLD DROPPED $20/MONTH ON CLAUDE PRO AND REPLACED A $25,000/YEAR TRADING TOOL. Claude reads the news, spots the patterns, filters the noise. He just presses a button.

A 27 YEAR OLD TURNED $4,200 INTO $187,432 IN 9 DAYS ON POLYMARKET WITHOUT PLACING A SINGLE BET. 82.4% win rate. 2.1% max drawdown. Jane Street has 1,400 employees. He has Claude and a fork.

1. Claude.ai (solve any problem) 2. Remove.bg (remove backgrounds) 3. Perplexity.ai (research anything) 4. Suno.ai (compose music) 5. Lovart.com (design graphics) 6. Voicebox.sh (clone voices)

40% of the code Claude writes is wasted because your CLAUDE. md is empty. A 65-line markdown file dropped the mistake rate from 41% to single digits. The most underused file in your entire stack.

PEOPLE ARE NOW RUNNING CLAUDE CODE FOR FREE USING LOCAL MODELS AND OPEN ROUTERS. Developers can connect tools like Ollama, Gemma 4, and OpenRouter to build apps and automations without paying standard API costs.

5 Best Open-Source GitHub Bots for Polymarket BTC UP/DOWN Markets Right Now (Arbitrage + Momentum + Latency) Each one uses a different strategy - from pure arbitrage to latency sniping to momentum 1. JLowo/gengar_polymarket_bot Latency arbitrage on 5-minute BTC UP/DOWN markets. BTC moves on Binance - Polymarket's order book takes seconds to reprice The bot buys the correct side at a discount before the market catches up Example: BTC pumps hard, but "BTC Up" shares still trade at $0.60. True probability is 85%. Bot enters, holds to resolution, collects $1.00 Quarter-Kelly sizing - at 80%+ win rate with average entry $0.68, positions range $8–20 per trade depending on edge and bankroll. Circuit breaker built in: daily loss limit configurable via .env, Telegram alert when triggered GitHub: github.com/JLowo/gengar_p… 2. djienne/Polymarket-bot Two strategies in one repo - run them separately or together Gabagool: pure arbitrage. Buys both YES and NO when combined price is below $1.00 - profit locked in regardless of BTC direction Smart Ape: momentum. Enters the side the market is already favoring when book skew and confidence pass the threshold. Stop-loss and flip-stop cut bad paths before resolution Kelly Criterion sizing for both strategies independently. Real-time auto-optimization adjusts parameters based on recent performance GitHub: github.com/djienne/Polyma… 3. Jonmaa/btc-polymarket-bot Pure arbitrage on 15-minute BTC UP/DOWN markets. Scans the order book continuously - when UP + DOWN combined cost drops below $1.00, both legs are entered simultaneously Depth-aware sizing: walks the ask book to find the real worst-fill price before committing. No optimistic pricing Paired execution verification: if only one leg fills, the bot cancels the other and attempts to flatten exposure immediately Auto-switches to the next market when the current window closes. Simulation mode connects to real live feeds without placing orders GitHub: github.com/Jonmaa/btc-pol… 4. CarlosIbCu/polymarket-kalshi-btc-arbitrage-bot The only bot in this list that trades two platforms simultaneously Detects risk-free arbitrage between Polymarket and Kalshi on the BTC 1-hour UP/DOWN market Logic: if YES on Kalshi + DOWN on Polymarket costs less than $1.00 for the same expiry - guaranteed profit regardless of outcome Smart matching automatically pairs Polymarket events with their Kalshi equivalents. Checks both directions: Poly Down + Kalshi Yes and Poly Up + Kalshi No GitHub: github.com/CarlosIbCu/pol… 5. PolyBullLabs/polymarket-5min-15min-1hour-arbitrage-trading-bot Three production-style Python bots in one repo covering 5m, 15m, and 1h UP/DOWN markets VWAP bot: enters when price pulls above VWAP with positive momentum in a late, narrow window Consensus bot: in the last minutes, buys the side the order book already favors - filters by spread and ask skew confidence Dump-and-hedge: detects a sharp BTC dump, enters one side, then hedges the other when combined pair cost clears the edge threshold MACD + RSI + VWAP combined for the momentum stack. Dry run mode, spend caps, stop-loss built in across all three bots GitHub: github.com/PolyBullLabs/p… Like/RT/Bookmark if this was helpful If I missed any interesting repo, feel free to share them in the replies

This Chinese guy created agents in Claude Code for landing pages and single-handedly serves 47 small businesses a month, taking $400 from each. He built a system of 7 agents on Claude Sonnet 4.6 that analyzes Google Maps in small towns, finds small businesses without websites there, and over 1 weekend takes each one to a finished mockup with video and cold message. No assistant, no sales team, no SDR. Just him, a MacBook, an iPhone, and 1 API key. And traditional web design agencies keep teams of 8 people on salary for the same order flow, while his expenses are only tokens and subscriptions to Lovable, Higgsfield, and Calendly. 7 agents work through 1 orchestrator on Claude Code Router. Usage is about 3 million tokens a day, the average API bill is about $480 a month. All 7 go through MCP servers and write shared state to the file system, without shared state in memory and without race conditions, and 1 of them lives right in the iPhone and picks up positive replies from the subway, a taxi, or on walks. And here is the system prompt he put into the orchestrator before launch: "You are the orchestrator of a solo agency that sells ready-made websites to local businesses. You delegate read-only tasks to 6 sub-agents and own all writes. sub-agents: // Scout (walks through Google Maps in selected cities, looks for narrow niches: 5+ years on the map, fewer than 50 reviews, no website or a website from 2014, but high ratings) // Diagnoser (for each lead writes a 50-word diagnosis, hero angle, tone matched to the industry, and a cold message under 70 words) // Builder (generates a landing page mockup in Lovable through MCP only for the top 5 leads per day, with the sharpest diagnoses and the biggest gap) // Filmer (pulls 5 screenshots of the mockup and through Higgsfield renders a 10-second vertical video 1080x1920 with a soft zoom) // Pitcher (sends a personalized cold message through the right channel for the niche: email to roofers, SMS to tradesmen, IG DM to salons, LinkedIn to realtors) // Checker (runs every message through evals for personalization, absence of AI markers and buzzwords before sending) // Mobile (lives in the iPhone, handles positive replies in real time, books Zoom calls in Calendly through MCP while the owner is on the go). You never let 2 sub-agents touch 1 lead. You stop and request approval from the human only when a deal exceeds $3,000 or the reply rate in a niche for the day drops below 12%." Meaning the system knows what it is and within what boundaries it is allowed to act. It knows it is supposed to find leads on its own. It knows it is supposed to take each one to a mockup, video, and cold message without intervention. It knows the human only steps in when a deal goes above $3,000 or the reply rate stops converging. → The system runs 24 hours a day → Scout goes through about 220 local businesses on Google Maps per day and leaves 30 new leads in the queue → Diagnoser outputs 30 structured diagnoses + briefs + cold messages per day → Builder assembles 3 to 5 finished landing pages in Lovable for the sharpest leads → Filmer renders a 10-second vertical video in Higgsfield for each one → Pitcher sends 30 personalized messages per day across 4 channels with a reply rate of about 14% → Checker runs every message through evals before sending And only when a deal breaks $3,000 or the reply rate for the day drops below 12% does the orchestrator wake the owner. And when the owner at that moment is sitting in the subway or a taxi, the Mobile agent in his iPhone picks up 1 move on its own: replies to a fresh positive reply from a dentist, books a Zoom through Calendly synced to the local time of the client, and puts the lead back in the queue. The owner only has to tap "approve" and in just 10 minutes join the call. Here is what the system writes in his log during 1 of the Saturdays: "scout report: 218 businesses checked in Austin, Denver, and Miami, 34 without a website, 19 with a website from 2014, 6 with an active redesign request in reviews. passing top 30 to diagnoser." "pitcher: 30 cold messages sent across 4 channels, 14 replies, 5 positive, 3 Zoom calls booked for Sunday. passing to closer." "builder: landing page for Westside Cosmetic Dentistry built in Lovable, 5 sections, mobile, soft beige. URL placed at /Users/dev/maps-agency/clients/westside/v1. filmer launching Higgsfield." "eval flag: deal with The Lotus Salon at $3,400 exceeds the approved limit of $3,000. sending for manual review." He has no server of his own and no separate backend. Just a local file sandbox at /Users/dev/maps-agency, an MCP router, 1 API key to Claude, and the same key forwarded to Claude Code on his iPhone. Out of everything I have seen this year, this is the cleanest one-person agency for selling websites to small businesses: $480 a month on the API, about $18,800 into the account, and between them 7 prompts, 1 file system, and 1 phone in the pocket.

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10 GitHub repos that print money while you sleep: 1. AutoHedge github.com/The-Swarm-Corp… 2. Vibe-Trading github.com/HKUDS/Vibe-Tra… 3. Claude Ads github.com/AgriciDaniel/c… 4. Toprank github.com/nowork-studio/… 5. Fincept Terminal github.com/Fincept-Corpor… 6. Agentic Inbox github.com/cloudflare/age… 7. ClawRouter github.com/mksglu/context… 8. Camofox Browser github.com/jo-inc/camofox… 9. Open Higgsfield AI github.com/Anil-matcha/Op… 10. Hyperframes github.com/heygen-com/hyp… If you’d love to see more content like this, don’t forget to follow @ZahidulIsl65224 for more AI magic.

A 35 YEAR OLD LEFT HIS JOB, DISAPPEARED FOR A MONTH, AND CAME BACK WITH A BTC ALGO THAT MADE $45,000 IN A SINGLE DAY. Not predictions, not vibes, just 300 hours of work, pure math, and a market inefficiency the bot keeps harvesting.

A CHINESE QUANT ALLEGEDLY MADE $500K TRADING OIL ON POLYMARKET USING AI. The system combines Claude, OSINT scraping, and simulation models to track geopolitical news and predict oil price movements before the market reacts.

A CHINESE STUDENT ALLEGEDLY TURNED $2K INTO $166K USING AI POWERED POLYMARKET TRADES. The setup combined Claude with simulation engines and massive market datasets to identify ultra low probability opportunities before the market reacted.

10 GitHub repos that just made expensive AI subscriptions look stupid: 1. Hyperframes github.com/heygen-com/hyp… 2. LibreChat github.com/danny-avila/Li… 3. Claude Ads github.com/AgriciDaniel/c… 4. Fincept Terminal github.com/Fincept-Corpor… 5. Open-LLM-VTuber github.com/Open-LLM-VTube… 6. Open Higgsfield AI github.com/Anil-matcha/Op… 7. Agentic Inbox github.com/cloudflare/age… 8. Toprank github.com/nowork-studio/… 9. Vibe-Trading github.com/HKUDS/Vibe-Tra… 10. Context Mode github.com/mksglu/context…

THIS OPEN SOURCE CLAUDE JOB AGENT SENT 700 APPLICATIONS AND LANDED AN OFFER

AN ANTHROPIC ENGINEER ALLEGEDLY TURNED $200 INTO $14K USING AN AI POLYMARKET TRADING BOT. The Claude powered system scans thousands of wallets, analyzes millions of trades, and focuses only on high probability whale driven market movements.

This is the only article that you need to go from beginner to pro in Claude Bookmark this and thank me later

A SINGLE CLAUDE MD FILE JUST HIT #1 ON GITHUB WITH 82K STARS AND CHANGES HOW CLAUDE WRITES CODE

SOMEONE CONNECTED CLAUDE CODE TO NOTEBOOKLM AND TURNED IT INTO AN AI RESEARCH MACHINE. The setup can search hundreds of sources at once, rank relevance, generate grounded reports, and automatically push everything into a structured knowledge vault.