REA hit #1 on GitHub trending, and most people still run it inside a single chat Split it into 4 subagents and one command takes a program you own from sealed binary to a tested rebuild with a match rate Set it up once, aim it at the next one:

holy sh*t, someone just mapped 12,000+ closed products you can reverse engineer today cars, smart homes, printers, AI clients, firmware, file formats and dead online services, and most builders have no idea it's free the drop: → github.com/alexgaoth/awesome… (28 ★ · 2 forks · 12,877 projects) the index itself: every entry checked through the GitHub API for license, stars and status, refreshed every night, with a ready-made skill for your AI agent → game decompilations (3,040 projects) decompilations, recompilations, emulators and restored engines, from shadPS4 and RPCS3 to OpenRA → devices, IoT & hardware (3,029 projects) local control for smart homes, printers and wearables without the vendor's cloud → unofficial API clients (904 projects) open clients for platforms that never shipped a public API → AI tools & LLM clients (739 projects) reconstructed AI clients, tool definitions and OpenAI-compatible adapters for closed AI services → cars (520 projects) open driver assistance, vehicle APIs and in-car systems, openpilot included → firmware & embedded (472 projects) custom firmware and embedded code for devices their makers stopped updating → file formats (436 projects) readers and parsers for closed formats like PSD and DWG → network protocols (422 projects) open implementations of protocols that were never documented → online service revivals (173 projects) replacement servers for games and services that were shut down the formula: search the index → clone what already exists → let REA reverse the missing piece → ship

holy sh*t, someone just mapped the entire REA ecosystem 8 free repos that let your AI agent take apart a closed app, turn it into source code and verify it against the original the drop: → github.com/morluto/rea (319k ★ · 80.8k forks) the engine: connects Claude Code, Codex and other agents to .exe files, APKs, Electron apps, firmware, WebAssembly and network protocols through 130+ MCP tools → github.com/morluto/awesome-r… (867 ★ · 188 forks) the menu: curated tools and resources for binaries, apps, firmware, file formats and protocols, sorted by task and link-checked every week → github.com/N0zoM1z0/dx-ball (66 ★ · 20 forks) the proof: DX-Ball rebuilt from a Windows binary, REA investigates each function, the agent writes C/C++ and every rebuild gets compared against the original machine code → github.com/N0zoM1z0/th04 (18 ★ · 2 forks) the hard mode: Touhou 4 reconstructed from 16-bit PC-98 code across 975 commits, with levels, bosses, rendering and bullet patterns turned into maintained C++ and assembly → github.com/pablodiazjorge/re… (3 ★ · 1 fork) the honest benchmark: three preregistered studies with Claude Code on Windows crackmes and real binaries, including the negative results, REA didn't raise the solve rate and roughly doubled cost → github.com/sqwu/rea-gems (93 cases) the gallery: official case studies, 60+ community projects and discussions built with REA, from rebuilt apps and printers to old games and Windows binaries → github.com/dav1dngy/era-agen… (v0.2.0) the workbench: a local studio on top of REA where agents analyze a project, propose a reconstruction, show the diff and run tests, and nothing gets applied until a human approves → github.com/alexgaoth/awesome… (12,880 projects) the memory: an index of open-source projects born from reverse engineering, from game decompilations and devices to APIs, file formats and AI clients, with a ready-made agent skill so you never reverse engineer the same thing twice the formula: closed app → REA → evidence → source code → verified rebuild

this is absurdly f*cking dangerous... REA Founder just dropped a prompt that turns any AI agent into a reverse-engineering lab with REA one paste and your agent will: - take apart Windows .exe files, Android APKs and iPhone apps - trace any feature from a button on screen to the function behind it - map an app's hidden API from a single network capture - unpack firmware and follow it straight into native code - and that's only the beginning... 130+ tools in one free MCP. Send it to Claude Code and thank me later. Before you run it, read the article below:

holy sh*t, someone just mapped 100 things your AI agent can reverse engineer with REA .exe, APK, IPA, Electron, firmware, WASM, smart contracts and old games, and most builders have no idea an agent can do this today the drop: → github.com/morluto/rea (319k ★ · 80.8k forks) the agent layer: 130+ MCP tools and six guided workflows across 10 categories, from iPhone apps and Electron to .NET, Go, Rust, WASM, smart contracts, SQLite and old games → github.com/NationalSecurityA… (90.7k ★ · 10.2k forks) windows & native: the function behind any button, hidden command-line flags, custom file parsers, checksum algorithms and the exact function behind a native crash → github.com/skylot/jadx (50.4k ★ · 5.8k forks) android: decompiled code for any single method, the class behind a feature found by one string and every reference to it → github.com/iBotPeaches/Apkto… (25.6k ★ · 4.0k forks) android: manifest, permissions, exported components, deep links and every string, layout and config inside the APK → github.com/ChromeDevTools/de… (1.5k ★ · 277 forks) websites: the JS behind a click, what happens after Submit, hidden API calls, WebSocket streams and the path from frontend element to backend request → github.com/ReFirmLabs/binwal… (14.3k ★ · 1.8k forks) firmware: compressed regions, filesystems and nested ELFs handed straight to Ghidra → github.com/onekey-sec/unblob (2.5k ★ · 110 forks) firmware: every file inside the image extracted to a new folder, plus baked-in device configs and endpoints → github.com/wireshark/wiresha… (9.8k ★ · 2.2k forks) network & hidden APIs: TShark turns a capture into endpoint maps, request and response schemas, sync protocols and every service an app talks to the formula: point the agent → trace the evidence → prove every claim → rebuild → verify

REA hit #1 on GitHub trending, and most people still run it inside a single chat Split it into 4 subagents and one command takes a program you own from sealed binary to a tested rebuild with a match rate Set it up once, aim it at the next one:

holy sh*t, someone just mapped 100 free APIs for AI agents search, scraping, OCR, speech, maps, finance, science, security and LLMs, and most builders have no idea it's free the drop: → r.jina.ai (12k ★ · 887 forks · no key) put r.jina.ai/ in front of any URL and any site or PDF comes back as clean markdown your LLM can read → tavily.com (1,000 free credits/month · no card) web search built for AI agents: ready-to-use text, sources and filters instead of a page of blue links → ocr.space (500 requests/day) pulls text out of images and multi-page PDFs, so your agent can read screenshots, scans and receipts → gdeltproject.org (real-time · no key) a global stream of news and events with people, organizations, places and tone extracted automatically → open-meteo.com (6.2k ★ · 421 forks · no key) current weather, forecasts, climate data and a full archive back to 1940 → sec.gov/edgar (every US public company · no key) 10-K, 10-Q and 8-K filings plus XBRL facts straight from the SEC → openalex.org (hundreds of millions of works · no key) papers, authors, institutions and citations, so your agent does research instead of guessing → osv.dev (3.0k ★ · 382 forks · no key) send a package version, a commit or a whole lockfile and get back every known vulnerability in it → deepgram.com ($200 in credits · no card) streaming speech-to-text, text-to-speech and voice agents, so your agent can listen and talk back → console.groq.com (permanent free tier) fast inference for LLMs, guard models and Whisper, the brain and the ears on one free key the formula: one API → AI agent → one expensive problem solved → product

this should be illegal to share for free... SpaceXAI just published 54 ready-made Grok Bots, the same ones its own teams use to run engineering, sales and marketing the 10 i’d import before hiring a single person: bot 1 → Nightly Audit Engineer ships one cleanup PR per area of your codebase every night. you wake up and handle the merge. bot 2 → Startup QA Bot walks through your product every weekday and reports what broke, before your first customer notices. bot 3 → Stalk Bot watches your competitors’ site, pricing and changelog, and only pings you when something actually changed. bot 4 → Ad Spend Watch flags what’s breaking in your ad accounts before it burns through your budget overnight. bot 5 → Pipeline Pulse scans your sales pipeline for risk and CRM gaps, so the morning starts with deals to save, not data to clean. bot 6 → Signal Prospector finds accounts that just showed buying intent, while they’re still warm. bot 7 → Hiring Signals tracks hiring activity across the companies you care about, a quiet hint at who’s growing and who’s about to buy. bot 8 → Paid Media Report Desk turns your raw ad exports into one weekly report you can read in five minutes. bot 9 → Tech Demos picks one new library every day and builds a working demo with it, so you never fall behind. bot 10 → Cooper briefs you on AI, tech, VC and business news, ready before your coffee. 10 jobs that used to eat your evenings, now running while you sleep save this now and set up your first bot before the weekend

holy f*ck, SpaceXAI just published 54 ready-made roles for an entire AI company engineering, sales, marketing, recruiting, product and operations, and each bot has one clear job you can import from the official marketplace the org chart: → engineering (6): a hands-off engineering supervisor, a nightly audit engineer that ships one cleanup PR, a bot that builds a demo from a new library every day → sales (17): outbound prospecting, call coaching, follow-ups to CRM, pipeline risk scans, deal checks against your criteria → marketing (12): SEO and AI-search briefs, short video editing, ad spend alerts, weekly paid media reports → product (7): daily QA walkthroughs, competitor monitoring, support answers drafted from your docs → recruiting (3): interview loops, candidates not in your ATS yet, hiring signals across companies → design (2): Figma frame to build spec, ranked design critique → operations (4): SaaS savings, office ops, event requests, an executive assistant → personal (3): a news agent for AI, tech and VC, and a couple of fun ones the structure: one bot → one job → one owner → one import free to import, runs on SuperGrok and Cursor plans save this ⭣

holy sh*t, someone just mapped 100+ places that give you free models, GPUs, API tokens, hosting and cloud credits everything you need to build and ship your first AI product for $0, and most builders have no idea it’s free the drop: → github.com/ripienaar/free-fo… (138k ★ · 14.6k forks) a massive list of free clouds, databases, serverless, hosting, monitoring and AI APIs. no short trials allowed, only real free tiers → github.com/mnfst/awesome-fre… (10k ★ · 1.1k forks) permanent free LLM APIs, most of them OpenAI SDK compatible, so you can swap providers without rewriting your app → startupcreds.com (531 live programs) every startup credit program in one place: Google and Cloudflare up to $350k, AWS up to $200k, Microsoft up to $150k. filters for bootstrapped teams and no-VC-referral programs → freecredits.ai (114 offers) LLMs, video generation, voice, search, data and infra. 50 are permanent free tiers, 24 confirmed with no credit card → devhunt.org/perks (67 fresh programs) 13 cloud, 9 AI, 8 student and 19 for open-source maintainers, each with who qualifies and what the catch is start with no company and no investor: → Modal: $30 in GPU and compute every month → Lightning AI: up to 80 starter GPU hours → Kaggle: a free NVIDIA P100 → Cloudflare Workers AI: 10,000 neurons every day → OpenRouter: 25+ models and 50 requests a day, no card → Hugging Face: up to 2 public apps on ZeroGPU once your startup is registered: → Google: $2,000 for your MVP, up to $350k for AI-first startups → AWS: from $1,000 to $200k → Microsoft: up to $150k → Cloudflare: from $10k for bootstrapped teams to $350k → Vast.ai: up to $2,500 in GPU credits the top amounts aren’t for everyone: you usually need a company, a live website, proof of stage and sometimes a program partner the formula: free model → free GPU → free database → free hosting → deployed product save this ⭣

holy sh*t, someone just mapped 600,000+ free datasets and APIs you can build an AI startup on today finance, medicine, maps, science, news, food, government data, and most builders have no idea it’s free the drop: → github.com/public-apis/publi… (486k ★ · 54k forks) 1,400+ free APIs across 50+ categories: finance, jobs, weather, health, crypto, news, sports, ML. every entry shows auth, HTTPS and CORS support → github.com/awesomedata/aweso… (79k ★ · 12k forks) 1,000+ curated datasets on healthcare, biology, economics, climate, energy and transport, real files for training and prototyping → huggingface.co/datasets (22k ★ · 3.3k forks) data built for AI: text, images, audio, code, conversations and agent traces, filterable by task, size and license, loadable straight from code → openstreetmap.org (2.8k ★ · 1.1k forks) roads, buildings, businesses and transit for the whole planet, the map behind thousands of products → openfoodfacts.org (1.2k ★ · 662 forks · 1.7M+ products) barcodes, ingredients, allergens and nutrition from 150 countries, with an open API → data.gov (1.1k ★ · 202 forks · 590,000+ datasets) the US government’s open-data vault: companies, EVs, housing, climate, health, trade and geospatial data, much of it as CSV, JSON or API → openalex.org (250M+ scientific works) a free graph of papers, authors, citations and institutions, with full text for 50M+ open-access works → gdeltproject.org (100+ languages · updates every 15 min) real-time news from almost every country, with people, places, events and emotions extracted automatically → fred.stlouisfed.org (free documented API) inflation, rates, jobs, housing and currencies, one of the best free economic databases → datasetsearch.research.googl… (millions of datasets) Google Search, but only for datasets. type “European apartment prices CSV” and skip the giant catalogs the formula: one dataset → AI → one expensive problem solved → product

holy sh*t, someone just mapped the biggest free agent libraries for Claude Code hundreds of agents, skills, hooks and commands, all open source, ranked by stars the drop: → github.com/anthropics/skills (180k ★ · 21k forks) Anthropic’s official repo for Agent Skills, the reference for how a real skill should look → github.com/hesreallyhim/awes… (53k ★ · 4.6k forks) the most famous hand-picked list of skills, agents, status lines, plugins and dev tooling → github.com/VoltAgent/awesome… (25k ★ · 2.9k forks) 160+ subagents across 10 categories: core dev, infra, quality & security, developer experience and more → github.com/disler/claude-cod… (3.9k ★ · 637 forks) everything about hooks: run checks, block risky actions and log every step automatically → github.com/rohitg00/awesome-… (2.6k ★ · 929 forks) 135 agents, 35 skills, 42 commands, 176+ plugins, 20 hooks and 14 MCP configs in one toolkit the stack: skills → subagents → hooks → plugins one useful setup comes from picking 5 of these, not installing all 400 start with anthropics/skills, then add one subagent pack for your stack ⭣