{"venture":"collectivewin-network","count":30,"signals":[{"tweet_id":"2018027072720130090","author":"nbaschez","author_name":"Nathan Baschez","text":"Single biggest improvement to your https://t.co/KUZC0h59Pa / https://t.co/LTwkykSOrf:\n\n\"When I report a bug, don't start by trying to fix it. Instead, start by writing a test that reproduces the bug. Then, have subagents try to fix the bug and prove it with a passing test.\"","created_at":"Sun Feb 01 18:22:01 +0000 2026","like_count":7575,"retweet_count":314,"reply_count":102,"resolved_url":"https://claude.md/","resolved_type":"external","venture_tags":["collectivewin-network"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-02","ingested_at":"2026-07-01T04:05:07.459Z"},{"tweet_id":"2042247428930248939","author":"seelffff","author_name":"self.dll","text":"i cancelled $2,000/month in trading subscriptions\n\nreplaced every single one with open-source repos\nhere's the full stack:\n\n1. TradingView Pro ($30/mo) → lightweight-charts\n   14K stars. by TradingView themselves. 45KB. free\n https://t.co/Zj8BoF0kbj\n\n2. Bloomberg Terminal ($2,000/mo) → fredapi + Claude\n   every macro dataset the Fed publishes. free API\n https://t.co/QOsmACH9tB\n\n3. backtest platform ($100/mo) → prediction-market-backtesting\n   NautilusTrader fork with Polymarket + Kalshi adapters\n https://t.co/ezKB2PSBUq\n\n4. real-time dashboard → polyrec\n   terminal UI: Chainlink oracle, Binance feed, orderbook depth\n   70+ indicators. auto CSV logging. strategy backtester\n https://t.co/fYj5aFUTS4\n\n5. bot framework (7 strategies) → Polymarket-Trading-Bot\n   53K lines TypeScript. arbitrage, momentum, market making,\n   AI forecast, whale copy-trade, convergence\n https://t.co/xNSLjlIEZd\n\n6. strategy reverse engineering → polybot\n   execution + market data infrastructure. paper trading\n   Kafka, ClickHouse, Grafana. full analytics pipeline\n https://t.co/s3fjSwXV6z\n\n7. paper trading for AI agents → polymarket-paper-trader\n   real order books. exact fee model. slippage tracking\n   your Claude agent gets $10K paper money and trades\n https://t.co/oXMxD9uhKI\n\n8. token savings → rtk\n   CLI proxy. cuts Claude Code tokens by 60-90%\n   Rust. single binary. 10 AI tools supported\n https://t.co/WKnP7dfvuj\n\n9. Claude Code itself ($200/mo) → goose\n   35K stars. by Block (Jack Dorsey). Rust\n   works with any LLM. full agent loop. free\n https://t.co/md2P9CJ4Ia\n\n10. wallet tracking + copy trading → Kreo\n    track top Polymarket wallets. auto copy trades\n    the only tool on this list i actually pay for\n    because it makes more than it costs\n  https://t.co/rVKQ107tBV\n\ntotal before: ~$2,600/month\ntotal now: $0 + Kreo\n\nbookmark this. you'll need it","created_at":"Thu Apr 09 14:25:04 +0000 2026","like_count":6685,"retweet_count":899,"reply_count":176,"resolved_url":"https://github.com/tradingview/lightweight-charts","resolved_type":"github","venture_tags":["freeintelligence-ai","goodalgo-network","collectivewin-network","velab-stack"],"editorial_note":"Tool relevant to freeintelligence ai.","signal_type":"tool","month_tag":"2026-04","ingested_at":"2026-07-01T04:05:08.671Z"},{"tweet_id":"2045570119225782399","author":"Scobleizer","author_name":"Robert Scoble","text":"Holy shit.\n\nNow everyone will be able to use their @OpenClaws and all the other agentic platforms to build apps on top of X. \n\nHere's the secret: build lists.\n\nLists are how you build apps.\n\nThe pattern:\n\nBuild a list of your favorite football team. Or whatever you are into.\n\nThen ask your AI agents \"build an app showing me all the important news about my favorite football team.\"\n\nIn minutes you'll have an app.\n\nAnd that's just the beginning.\n\nYour agent can build a script about your favorite football team that you can take to places like Google's Notebook LM.\n\nNow you have a video, a podcast, a slide deck, a game, a mind map. All about your favorite football team based on real time news. \n\nYou can do the same with something like @HeyGen, create an avatar of your favorite football player. Now you will have your favorite football player telling you everything that's happening on the football team. \n\nAnd I could go for hours about how many things you can build and not even cover a fraction of them. \n\nThis is huge. \n\nThank you @elonmusk for making it possible to make millions of agentic apps affordably on top of X.\n\nStart building!","created_at":"Sat Apr 18 18:28:15 +0000 2026","like_count":5409,"retweet_count":634,"reply_count":363,"resolved_url":null,"resolved_type":null,"venture_tags":["anygame-dev","onesqft-org","collectivewin-network"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-04","ingested_at":"2026-07-01T04:05:05.315Z"},{"tweet_id":"2063316738935009425","author":"gregisenberg","author_name":"GREG ISENBERG","text":"The most comprehensive Hermes Desktop tutorial on the internet NOW is LIVE.\n\nYou'll learn sessions, profiles, artifacts, cost savings, and real use cases for making money and building startups with Hermes agents.\n\nWhether you're already running Hermes or haven't started yet, this is the episode for you.\n\n@AlexFinn says this is the moment Hermes overtakes OpenClaw. S/o to Alex for walking me through it.\n\n\"It's now the best way to use AI agents on your computer\"\n\nI do think the desktop app of Hermes looks almost like an Apple product.\n\nEverything you need to know about Hermes Desktop App/agents in 43 minutes\n\nThis episode is 100% free.  No ads. @startupideaspod \n\nI just want to see you win on the internet. And I think Hermes can help.\n\nPlus, It's fun thing to play with this weekend. Share this with a friend. Link below.\n\nYT: https://t.co/O4Ih4K87SQ\n\nWatch","created_at":"Sat Jun 06 17:46:59 +0000 2026","like_count":2939,"retweet_count":285,"reply_count":145,"resolved_url":"https://www.youtube.com/watch?v=EJm8Ka-gVOc","resolved_type":"youtube","venture_tags":["velab-org","onesqft-org","collectivewin-network","groww-ca"],"editorial_note":"Educational resource for velab org team and stakeholders.","signal_type":"education","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:48.174Z"},{"tweet_id":"2061108656754851868","author":"itsharmanjot","author_name":"Harman","text":"10 GitHub repos so good they shouldn't be free.\n\n1. AutoHedge\n\nAn autonomous hedge fund built in Python with four AI agents: a director generates investment theses, a quant validates them, a risk manager decides position size, and an execution agent places orders. Operates live on Solana. With 'pip install -U autohedge', you can start trading immediately.\nrepo → https://t.co/q22EzesLoD\n\n2. Vibe-Trading\n\nA trading system using a Directed Acyclic Graph (DAG) model, featuring 64 finance skills and 29 preset specialist agent swarms. Includes analysis methods like Ichimoku, Elliott Wave, SMC, Black-Scholes, full Greeks, and risk parity. Its crypto desk provides liquidation heatmaps and token unlock tracking. You can observe agents debating strategies in real time.\nrepo → https://t.co/LZ5CYGMC1W\n\n3. Fincept Terminal\n\nA Bloomberg Terminal replacement that runs on your laptop. CFA levels 1, 2, and 3 analytics. 20+ investor AI agents (Buffett, Dalio, Soros). 100+ data connectors, including Polygon, World Bank, and IMF. Bloomberg charges $24,000 a year. This is free.\nrepo → https://t.co/dMM1WZxrw9\n\n4. LibreChat\n\nEvery model ChatGPT runs, plus Claude, Gemini, DeepSeek, and 20 more. Self-hosted. Native MCP support. You own the data, the history, the infrastructure. OpenAI charges $20/month to use their wrapper. This costs nothing to use your own.\nrepo → https://t.co/457utdZUIF\n\n5. Open Higgsfield AI\n\nA self-hosted cinema studio with 200+ AI models. Flux, Midjourney, Sora, Kling, Veo, GPT-4o, SDXL all in one interface. Text to image. Image to video. Cinema mode with pro camera controls. No subscription. Your data stays local.\nrepo → https://t.co/WHCzBSFBW4\n\n6. Open-LLM-VTuber\n\nA Live2D AI companion that runs offline, sees your screen, hears your voice, and never forgets. Inner thoughts are shown as a separate text layer, so you watch the reasoning happen before words come out. Pet mode floats it on your desktop. Swap the LLM in one config line.\nrepo → https://t.co/5XVKUPr35X\n\n7. Claude Ads\n\nA free Claude Code skill that runs 190 audit checks across Google, Meta, YouTube, LinkedIn, TikTok, and Microsoft Ads. 6 parallel subagents firing at once. Consolidates into a single Ads Health Score ranked by revenue impact. Agencies charge $4,000 a month for this.\nrepo → https://t.co/AJRfpSB7B6\n\n8. Agentic Inbox\n\nCloudflare just open-sourced an email client where an AI agent reads your inbox and drafts your replies. Runs entirely on Cloudflare Workers. Each mailbox lives in its own Durable Object. Your email never leaves your Cloudflare account. One click deploys it.\nrepo → https://t.co/QEEMtzoliV\n\n9. Camofox Browser\n\nAn open source headless browser that makes AI agents invisible to bot detection. Spoofs navigator properties, WebGL, AudioContext, and WebRTC at the C++ level. The browser does not look modified because it genuinely is not. Accessibility tree output drops token cost by 90%.\nrepo → https://t.co/95d0V3o7vO\n\n10. Hyperframes\n\nHeyGen open-sourced a video framework that does everything Remotion does without React, without JSX, without teaching your AI agent a new format. The agent writes HTML. The framework renders MP4. GSAP, Lottie, and Three.js all work. Same HTML always produces the same file.\nrepo → https://t.co/ekquvYvTNC\n\nThese are not toys. Each one replaces a paid product you're still being charged for.\n\nPick one. Install it. Plug it into your workflow.\n\n100% free. 100% open source.","created_at":"Sun May 31 15:32:51 +0000 2026","like_count":2653,"retweet_count":434,"reply_count":47,"resolved_url":"https://github.com/The-Swarm-Corporation/AutoHedge","resolved_type":"github","venture_tags":["miny-network","freeintelligence-ai","goodalgo-network","velab-org","collectivewin-network","velab-stack"],"editorial_note":"Tool relevant to miny network.","signal_type":"tool","month_tag":"2026-05","ingested_at":"2026-07-01T04:05:08.203Z"},{"tweet_id":"2060063551876645050","author":"ChromiumDev","author_name":"Chrome for Developers","text":"Prepare your site for AI agent interaction with Lighthouse → https://t.co/5myVWdLZd9\n\nIf you want AI agents to actually navigate your site properly, the new experimental audit in Lighthouse lets you see:\n☀️ Discoverability for AI agents\n⚡ WebMCP integration\n👀 AI accessibility\n\n#GoogleIO","created_at":"Thu May 28 18:19:59 +0000 2026","like_count":2492,"retweet_count":306,"reply_count":76,"resolved_url":"https://goo.gle/3ReK3JD","resolved_type":"external","venture_tags":["collectivewin-network"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-05","ingested_at":"2026-07-01T04:05:11.063Z"},{"tweet_id":"2057492715005239543","author":"kensavage","author_name":"Ken Savage","text":"Google just made it official.\n\nThey added llms.txt as a Lighthouse audit. That means Google is now checking whether your website has a file that helps AI agents understand what your business does.\n\nThink of it like robots.txt was for search crawlers. llms.txt is the same thing for ChatGPT, Perplexity, Gemini, and every AI tool scraping the web for answers.\n\nHere's what it is:\n→ A plain text file at https://t.co/PmsrDIQGI1\n→ It summarizes your business, products, and key pages in a format AI can read\n→ It helps LLMs cite you accurately instead of guessing\n\nI just created one for @HireAutoM8. Here's what it looks like so you can model yours from it: https://t.co/EosGM5jaZO\n\nIf your business isn't showing up in AI answers, this is step one.\n\nFounders: go create yours today. This is the new robots.txt.","created_at":"Thu May 21 16:04:24 +0000 2026","like_count":2368,"retweet_count":170,"reply_count":99,"resolved_url":"https://yoursite.com/llms.txt","resolved_type":"external","venture_tags":["chipmonk-tech","freeintelligence-ai","collectivewin-network","velab-stack"],"editorial_note":"Tool relevant to chipmonk tech.","signal_type":"tool","month_tag":"2026-05","ingested_at":"2026-07-01T04:05:10.911Z"},{"tweet_id":"2069773963413340297","author":"heynavtoor","author_name":"Nav Toor","text":"A lawyer in Manhattan gets a 500-page contract. Every clause needs to be searchable. By hand: one week.\n\nAn accountant in Chicago gets 200 scanned invoices. Every number needs to land in a spreadsheet. By hand: four days.\n\nA researcher at Stanford has 50 academic papers. Tables, formulas, charts locked inside PDFs. By hand: two weeks.\n\nEvery one of them is losing days of their life to copy-paste.\n\nNow meet MinerU.\n\nA free and open source tool that reads any PDF, Word doc, PowerPoint, Excel sheet, or scanned image. It pulls out the text in reading order. Tables become clean HTML. Equations become LaTeX. Handwriting handled. 109 languages.\n\nYou give it a 200-page PDF. You get clean Markdown back in 90 seconds.\n\nWhat makes it different from every other PDF tool:\n\n- Multi-column layouts. It reads top to bottom within each column. Not left to right across the page. Like a human reads.\n- Scanned documents. OCR built in. Point it at a photo of a printed page from 1995. Get clean text back.\n- Math formulas. LaTeX-quality recognition. Every equation renders correctly.\n- Tables. Merged cells, multi-row headers, tables that span three pages. All preserved.\n- Ten-thousand-page documents. Sliding window processing. No manual splitting.\n- Batch mode. Point it at a folder of 500 documents. Walk away.\n\nThree ways to use it:\n\n- CLI. One command per document.\n- Python SDK. Five lines of code.\n- Web app at https://t.co/AIC2NNey41. Upload, click, download. No install.\n\nPlugs into Claude Desktop, Cursor, Windsurf, LangChain, LlamaIndex, RAGFlow, Dify, and FastGPT. Feed extracted documents straight to your AI agent.\n\nThe story:\n\nThe OpenDataLab team at Shanghai AI Laboratory needed to extract clean text from millions of scientific documents to train a language model. Existing tools failed. They built their own. Then they open sourced it.\n\n68,551 stars. MinerU Open Source License, built on Apache 2.0. Free for personal and commercial use. Three technical reports on arXiv.\n\nAdobe Acrobat Pro charges $239.88 a year. It still loses your tables.\nABBYY FineReader Corporate charges $165 a year. It still cannot do equations.\nMistral OCR charges $2 per 1,000 pages. Your bill never stops.\n\nMinerU costs $0. Runs on your laptop. Your documents never leave your machine.\n\nHere is the wild part.\n\nThe lawyer got her contract back in 4 minutes. Every clause searchable.\nThe accountant fed 200 invoices in. Every number landed in a spreadsheet in 12 minutes.\nThe researcher fed his 50 papers in. He wrote his literature review on a Sunday afternoon.\n\nThe document your company has been processing by hand for years takes MinerU minutes.\n\nYour documents become text. Your text becomes data. Your data becomes answers.\n\nThe week you used to lose to paperwork is back in your hands.","created_at":"Wed Jun 24 13:25:42 +0000 2026","like_count":2075,"retweet_count":335,"reply_count":41,"resolved_url":"https://mineru.net/","resolved_type":"external","venture_tags":["freeintelligence-ai","velab-org","aiblueprints-tech","instasoiree-com","collectivewin-network"],"editorial_note":"Tool relevant to freeintelligence ai: could inform product or stack decisions.","signal_type":"tool","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:45.927Z"},{"tweet_id":"2030733531845104032","author":"chrysb","author_name":"Chrys Bader","text":"introducing 🐺 AlphaClaw, the ultimate setup harness for @openclaw. open-source, self-managed, free-to-use, with no lock-in.\n\nAlphaClaw makes OpenClaw setup and maintenance easier by providing an elegant GUI that wraps OpenClaw's CLI.\n\n📅 Google Workspace OAuth & pubsub built in w/ gog-cli\n🔄 Auto-backup to GitHub\n🧱 Prompt hardening reduces agent drift\n🩺 Drift Doctor analyzes your prompts and workspace for drift\n💬 Telegram multi-topic workspace setup wizard\n📂 Full file browser and editor, no SSH needed\n🐕 Watchdog auto-detects crashes, self-heals gateway\n🛠️ Manage env vars from the UI\n🔑 Manage model keys & OAuth visually\n🪝 Webhook creator & inspector with replay & debug\n📊 Token usage & cost analytics built in\n⬆️ One-click updates, no redeploy needed\n📦 Import existing setup from GitHub\n\ni didn't build alphaclaw to replace openclaw or compete with it. openclaw is the best user-owned AI agent framework out there and more people should be able to use it without wrestling a CLI for two hours.\n\nthere are so many managed \"deploy your AI in seconds\" product. but they lock you into their platform. if they pivot, shut down, or jack up pricing, your agent goes with it.\n\nalphaclaw gives you that same one-click simplicity, but everything runs on your infra with your data. no proprietary backend. no config hostage. if railway disappears tomorrow, you still have a standard openclaw instance backed up to your own github repo.\n\neverything alphaclaw does, you could do manually. it's just automation and UI on top of the real thing. outgrow it? disagree with its opinions? eject. your openclaw instance is still a standard openclaw instance.\n\nto make it convenient, i’ve created both a one-click deploy template on railway and render to start quickly. make sure you have 8GB of ram on your instance.\n\nlook forward to your feedback and to building this out with the @openclaw community! 🦞\n\nhttps://t.co/ZMJivWhJH5\n\nfeature deep-dive in the 🧵","created_at":"Sun Mar 08 19:52:57 +0000 2026","like_count":1479,"retweet_count":159,"reply_count":92,"resolved_url":"https://github.com/chrysb/alphaclaw","resolved_type":"github","venture_tags":["onesqft-org","collectivewin-network"],"editorial_note":"Tool relevant to onesqft org.","signal_type":"tool","month_tag":"2026-03","ingested_at":"2026-07-01T04:05:07.915Z"},{"tweet_id":"2027729887172112460","author":"zacxbt","author_name":"zac.eth (ARX MODE) ☂️","text":"openclaw cheatsheet\n\ncore commands\n• openclaw gateway\n• openclaw gateway start | restart\n• openclaw channels add\n• openclaw channels list\n• openclaw status --probe\n• openclaw onboard\n• openclaw setup\n• openclaw doctor\n• openclaw models list | set | status\n• openclaw auth setup-token\n\nworkspace anatomy\n• https://t.co/pugvEKScXk (instructions)\n• https://t.co/BRysp7LL03 (persona)\n• https://t.co/oAGOUgXchi (preferences)\n• https://t.co/RWYaNk5GdM (name / theme)\n• https://t.co/IFLeL1QlXb (long-term)\n• https://t.co/98pH0CQmMG (logs)\n• https://t.co/dNvlqnAi1i (checks)\n• https://t.co/1r0xVY5NTo (startup)\n• root: .openclaw/workspace\n\nmemory & models\n• vector search\n• model switch\n• auth setup\n• models list\n\nhooks & skills\n• clawhub\n• hook list\n• clawhub install <slug>\n\nin-chat slash commands\n• /status\n• /context list\n• /model <id>\n• /compact\n• /new\n• /stop\n• /tts on|off\n• /think\n\nquick install\n• npm install -g openclaw@latest\n• openclaw onboard\n• openclaw setup --install-daemon\nchannel management\n• whatsapp (login / qr)\n• telegram (add channel)\n• discord (add channel)\n• slack (add channel)\n• imessage (macos native)\n\nvoice & tts\n• openai / elevenlabs\n• edge tts (free)\n\ntroubleshooting\n• no dm reply\n• silent group\n• auth expired\n• gateway down\n• memory bug\n• memory index\n\nautomation & research\n• browser\n• subagents\n• cronjobs\n• heartbeat","created_at":"Sat Feb 28 12:57:33 +0000 2026","like_count":1322,"retweet_count":153,"reply_count":47,"resolved_url":"https://agents.md/","resolved_type":"external","venture_tags":["collectivewin-network","groww-ca","renascence-network"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-02","ingested_at":"2026-07-01T04:05:05.595Z"},{"tweet_id":"2017684921091772591","author":"code_rams","author_name":"Ramya Chinnadurai 🚀","text":"I missed my @openclaw bot, Chiti, yesterday. 🥺\n\nFor the past few weeks, I’ve been using my $20 ChatGPT subscription to power Chiti on GPT-5.2. Everything was smooth until I suddenly hit a strict rate limit and got blocked for 1.5 days.\n\nThe bot went silent on Telegram. It was a wake-up call without the model, an AI agent is just an appliance without electricity. Completely useless. \n\nI tried switching to Gemini Pro as a temporary fix, but it burned through $6 within 3 hrs. I realized I needed a more sustainable architecture to manage both performance and budget.\n\n---\n\nThe Solution: A Tiered Model Strategy\n\nInstead of relying on a single model, I’ve now configured a multi-provider setup (OpenAI, Anthropic, Google, and Codex) with a tiered routing system:\n\n1. The Daily Driver: Gemini Flash\nIt’s incredibly cheap and fast. Chiti uses this for 80% of our interactions - basic chat, task management, and simple pings. This keeps the baseline cost near zero.\n\n2. The Coder: GPT-5.2 (via ChatGPT Plus)\nThis is now strictly reserved for building features or debugging. By isolating it, I avoid wasting my subscription's rate limits on simple \"Hello\" queries.\n\n3. The Specialist: Claude Opus\nI keep this in the stack for high-level brainstorming and creative writing, used only when I need that specific reasoning edge.\n\n---\n\nThe Execution:\n\nI’ve configured Chiti to dynamically choose the right \"brain\" for the task. If I ask a coding question, it automatically spawns a specialist session using GPT-5.2. For everything else, it defaults to the lightweight Flash model.\n\nIt’s been a fascinating experiment in balancing uptime with intelligence. I no longer worry about the bot going \"dead\" due to a rate limit, and my monthly spend is finally predictable.\n\nThe goal isn't just to have the smartest AI, it’s to build a system that stays online and executes exactly when you need it.\n\nHoping this works out! \n\nI’ll share more on how it performs as I use it. \n\nI’m also planning to explore other alternatives too, if you’re using a different stack, let me know!","created_at":"Sat Jan 31 19:42:26 +0000 2026","like_count":1105,"retweet_count":59,"reply_count":132,"resolved_url":null,"resolved_type":null,"venture_tags":["freeintelligence-ai","onesqft-org","collectivewin-network","velab-stack"],"editorial_note":"Competitor in freeintelligence ai space.","signal_type":"competitor","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:06.244Z"},{"tweet_id":"2067270246256521299","author":"dvassallo","author_name":"Daniel Vassallo","text":"A few months ago my kids started vibecoding little web games with Cursor and wanted their friends to play them. GitHub Pages was fine until the games needed real backends, so I hacked together a setup where each game was a folder in one repo that deployed to a Hetzner box on every push.\n  \nThat held up until we shipped FULL SEND for Vibe Jam 2026 and it took off with 38,000+ players. The duct tape needed to become something real, so I rebuilt it properly and pulled it out into its own project.\n\nIt turns one Linux server into a push-to-deploy host for many apps. The whole thing is a single Go binary that installs and drives Docker, Kamal, Cloudflare, Tailscale, and GitHub for you. After that:\n\n- Each app is a GitHub repo.\n- A git push is live in <5 seconds.\n- Deploys are zero-downtime.\n- Each app runs in its own container.\n- Automatic Cloudflare DNS and TLS tunnels.\n- SQLite-aware backup and restore.\n\nIt's deliberately single server using convention over configuration, so for a typical app there's no YAML or Dockerfile to write. The idea is that one decent VPS can reliably run all your projects without per-app bills or piles of infra config.\n\nIt's built on top of Kamal, so it's basically a Kamal wrapper for the \"lots of apps on one server\" case, with the Cloudflare, Tailscale, DNS, and backup glue wired up by convention.\n\nSetup is one interactive command on a fresh Linux box, which walks you through connecting everything.\n\nIf you also have a bunch of projects you want to run on a single server, tell your Claude Code, Codex, Cursor, or favorite AI agent to grab a VPS and try it for you. It's fully open source and you can customize it to your liking: https://t.co/ZvHZp55zso","created_at":"Wed Jun 17 15:36:49 +0000 2026","like_count":1077,"retweet_count":49,"reply_count":80,"resolved_url":"https://singleserver.com/","resolved_type":"external","venture_tags":["anygame-dev","velab-org","collectivewin-network","velab-stack"],"editorial_note":"Tool relevant to anygame dev: could inform product or stack decisions.","signal_type":"tool","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:46.771Z"},{"tweet_id":"2060784286345908533","author":"socialwithaayan","author_name":"Muhammad Ayan","text":"The smartest people on the internet just open-sourced their brain.\n\n11 GitHub repos worth bookmarking:\n\n- PilotDeck — OpenBMB's open-source AI agent framework. Build and deploy autonomous agents in minutes.\nhttps://t.co/ozmSncagqb\n\n- andrej-karpathy-skills — Karpathy's AI coding wisdom in a single markdown file. 109K+ stars.\nhttps://t.co/tOr4XGZnDy\n\n- MemPalace — Milla Jovovich co-built this AI memory system with Claude Code. Near-perfect LongMemEval score.\nhttps://t.co/zjSwfv3PeV\n\n- OpenClaw — Peter Steinberger's personal AI assistant. 300K+ stars. Fastest growing repo in GitHub history.\nhttps://t.co/vgWKVDhXyZ\n\n- autoresearch — Karpathy's research automation framework. 23K stars in three days.\nhttps://t.co/fVnXmLjpcH\n\n- awesome-claude-code — The canonical Claude Code playbook. Used inside FAANG, OpenAI, and Anthropic.\nhttps://t.co/ylSdRRATgg\n\n- agent-skills — Addy Osmani's production-grade engineering skills for AI coding agents. 30K+ stars.\nhttps://t.co/ClswBl8zCO\n\n- AI-Agents-for-Beginners — Microsoft's free 12-lesson course on building AI agents.\nhttps://t.co/DhS6mUJuDk\n\n- awesome-llm-apps — 106K+ stars. The largest collection of working AI apps on GitHub.\nhttps://t.co/ilZKbFPxp7\n\n- hermes-agent — Self-evolving AI agent. Gets smarter the more you use it.\nhttps://t.co/06jfIpEy6W\n\n- qlib — Microsoft's full quant investment platform. A hedge fund brain, free to clone.\nhttps://t.co/sBbYjvXzkx\n\nSave this post!\n\nFollow me for more ♻️ Repost so others don't miss it.","created_at":"Sat May 30 18:03:56 +0000 2026","like_count":965,"retweet_count":191,"reply_count":28,"resolved_url":"https://github.com/OpenBMB/PilotDeck","resolved_type":"github","venture_tags":["freeintelligence-ai","onesqft-org","collectivewin-network","velab-stack"],"editorial_note":"Tool relevant to freeintelligence ai.","signal_type":"tool","month_tag":"2026-05","ingested_at":"2026-07-01T04:05:06.803Z"},{"tweet_id":"2020518074064228490","author":"DavidOndrej1","author_name":"David Ondrej","text":"there's no point paying for Perplexity\n\njust give your OpenClaw access to an API key for OpenRouter\n\nand then set \"perplexity/sonar-pro-search\" as the default web search model\n\nand \"perplexity/sonar-deep-research\" as the default Deep Research model\n\nand you'll never have to visit the Perplexity website ever again\n\nplus, you just gave your AI Agent access to a super-powerful web search tools (much better than the built'in Brave API)","created_at":"Sun Feb 08 15:20:22 +0000 2026","like_count":872,"retweet_count":42,"reply_count":55,"resolved_url":null,"resolved_type":null,"venture_tags":["collectivewin-network"],"editorial_note":"Tool relevant to collectivewin network.","signal_type":"tool","month_tag":"2026-02","ingested_at":"2026-07-01T04:05:07.567Z"},{"tweet_id":"1806868694871756891","author":"AlexReibman","author_name":"Alex Reibman 🖇️","text":"Scraping web data for AI agents sucks. @firecrawl is fixing that.\n\nLive demo of Firecrawl turning entire websites into LLM-ready data in seconds w/ @CalebPeffer https://t.co/LPvCfUBEXV","created_at":"Sat Jun 29 01:54:01 +0000 2024","like_count":851,"retweet_count":122,"reply_count":16,"resolved_url":"https://twitter.com/AlexReibman/status/1806868694871756891/video/1","resolved_type":"media","venture_tags":["freeintelligence-ai","velab-org","collectivewin-network"],"editorial_note":"General intelligence signal for the VE Lab portfolio.","signal_type":"general","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:49.147Z"},{"tweet_id":"2032751167302746369","author":"jakevin7","author_name":"kabikabi","text":"持续高产中，reddit cli 它也来了！迎接 CLI 宇宙！\n\nreddit 功能实在是太丰富了\n欢迎大家多多反馈，出现的问题和功能需求都可以 issue或者艾特我。\n\n另外求转发，主要是Reddit 很多国外的人也可以用, 但是关注我的并没有什么国外的\n\n一个 Reddit CLI，可以直接在终端里：\n看 feed、逛 subreddit、搜索帖子、读评论树、导出结果，甚至做 upvote/save/subscribe 这些基础交互。\n\n还做了几个我自己很喜欢的细节：\n- `rdt show 3` 这种短索引操作很顺手\n- 自动从浏览器提取 cookies 登录\n- 支持 JSON / YAML，方便脚本和 AI agent\n\n最近还要一边学习很多东西，然后一边做东西. 真的很忙，累坏了.\n\nhttps://t.co/H3gR9jM6Uh","created_at":"Sat Mar 14 09:30:19 +0000 2026","like_count":688,"retweet_count":101,"reply_count":61,"resolved_url":"https://github.com/jackwener/rdt-cli","resolved_type":"github","venture_tags":["collectivewin-network"],"editorial_note":"Tool relevant to collectivewin network.","signal_type":"tool","month_tag":"2026-03","ingested_at":"2026-07-01T04:05:06.445Z"},{"tweet_id":"2010393702070366512","author":"tom_doerr","author_name":"Tom Dörr","text":"Bypasses bot detection for AI agents\n\nhttps://t.co/cUZWiamZ21 https://t.co/sbGLQdJQpi","created_at":"Sun Jan 11 16:49:44 +0000 2026","like_count":656,"retweet_count":85,"reply_count":9,"resolved_url":"https://github.com/0xSojalSec/stealth-browser-mcp","resolved_type":"github","venture_tags":["collectivewin-network"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:07.780Z"},{"tweet_id":"2063234969510588640","author":"Sprytixl","author_name":"Sprytix","text":"Chinese professor just revealed his development team - and it was 170 AI agents making every single company decision\n\nnot humans, not managers, not consultants charging $500 an hour\n\n170 artificial developers working in parallel, never sleeping, never asking for a raise, never going on vacation\n\nKimi K2.6 runs all of them with one prompt and each one gets its own task\n\nwhat used to take an entire department two weeks now takes two hours and costs less than a cup of coffee\n\nand while most companies are still hiring people for these roles\n\nthe ones who understood what's happening already quietly rebuilt everything\n\nthis is what actually sits behind the growth of billion dollar companies right now\n\nfull breakdown of how it works in the article below","created_at":"Sat Jun 06 12:22:04 +0000 2026","like_count":632,"retweet_count":110,"reply_count":30,"resolved_url":null,"resolved_type":null,"venture_tags":["velab-org","collectivewin-network"],"editorial_note":"Business model insight for velab org.","signal_type":"business","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:48.582Z"},{"tweet_id":"2027000739109974528","author":"akshay_pachaar","author_name":"Akshay 🚀","text":"OpenClaw, but built for normal people.\n\nSim is an open-source platform that lets you build AI agent workflows on a drag-and-drop canvas. Connect them to channels like Telegram and WhatsApp and deploy without writing a single line of code.\n\nThey also have a built-in Copilot that generates entire workflows from plain English, which you can then tweak and customize in the UI.\n\nKey features:\n\n- Free and open-source (Apache 2.0)\n- Vector store integration for RAG-grounded agents\n- Self-host with one command (`npx simstudio`)\n- Run fully local with Ollama, no API keys needed\n- Supports vLLM for production-grade self-hosted inference\n\nThe thing I really like about Sim is the level of control you get. You can add conditional branching, parallel execution, human-in-the-loop approval gates, and even nest workflows inside other workflows.\n\nEverything is visible on the canvas, so you know exactly what your agent is doing at every step.\n\nAnd you can build a workflow in Sim, deploy it as an MCP server, and plug it into any agent, including OpenClaw.\n\nI've shared the link to Sim's GitHub repo in the next tweet.","created_at":"Thu Feb 26 12:40:10 +0000 2026","like_count":549,"retweet_count":69,"reply_count":61,"resolved_url":null,"resolved_type":null,"venture_tags":["freeintelligence-ai","collectivewin-network"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-02","ingested_at":"2026-07-01T04:05:09.505Z"},{"tweet_id":"2064792346747613499","author":"recogard","author_name":"Recogard","text":"I found 12 free GitHub repos for trading on Polymarket… \n\nHere is everything you need to automate and make your trading easier:\n\n1. The largest Polymarket dataset with over 36 GB of real trading data, based on more than 72 million trades, analyzed by a Coinbase developer.\n\nGitHub: https://t.co/qkoF6TyjJQ\n\n2. A backtesting simulator that lets you test your own trading ideas and strategies on real historical markets to see your potential win rate and all possible risks. \n\nGitHub: https://t.co/fmzzTgXAUl\n\n3. This bot automatically manages your limit orders on Polymarket to maximize liquidity rewards.\n\nGitHub: https://t.co/nvb96dTIwx\n\n4. This tool analyzes any Polymarket trader’s behaviour, finds repeated patterns in his trades, shows which strategies he uses and how you can adapt them to your own trading.\n\nGitHub: https://t.co/SzdjHtASLt\n\n5. A tool that lets you pull historical data for any market that has ever existed with detailed statistics and charts.\n\nGitHub: https://t.co/5c5WwUVvVi\n\n6. A bot with 118 ready to use tools and strategies for trading on Polymarket, including Binance-Polymarket latency, Momentum, Smart Routing, Penny Clipper, Expiry Fade, DCA bots and more.\n\nGitHub: https://t.co/2MCzD8iZG7\n\n7. An AI trading terminal that lets Claude connect to Polymarket, analyze markets in real time, track prices, suggest possible trades and even trade for you. \n\nGitHub: https://t.co/5kFPrvOY3E\n\n8. A bot that finds arbitrage opportunities between Polymarket and Kalshi. \n\nGitHub: https://t.co/icWBTLTeVg\n\n9. A weather bot that checks forecasts, airport data and aviation observations (like METAR + SPECI) to create a detailed weather report for a specific city and day.\n\nGitHub: https://t.co/No3sBcqMg1\n\n10. A trading dashboard where multiple AI agents analyze markets from different angles (news, price movement, technical indicators and possible risks) and suggest the best trading decisions. \n\nGitHub: https://t.co/02iWujLbxe\n\n11. A tool that analyzes what happened on the web over the last 30 days and finds useful patterns, connections and recent context around the selected topic. Very useful before trading.\n\nGitHub: https://t.co/yETdyU8jT7\n\n12. The largest public collection of 120 useful tools and services for prediction markets, including analytics dashboards, AI agents, trading bots, educational resources and more.\n\nGitHub: https://t.co/jqvVR9106v\n\nAll of these repos come with a step by step setup and usage guides in English.","created_at":"Wed Jun 10 19:30:32 +0000 2026","like_count":501,"retweet_count":112,"reply_count":26,"resolved_url":"https://github.com/Jon-Becker/prediction-market-analysis","resolved_type":"github","venture_tags":["goodalgo-network","collectivewin-network"],"editorial_note":"Tool relevant to goodalgo network: could inform product or stack decisions.","signal_type":"tool","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:47.398Z"},{"tweet_id":"2020286739856974032","author":"sodofi_","author_name":"sophia dew","text":"if someone is building this DM me\n\ni'm testing every single tool that helps ai agents do things onchain","created_at":"Sun Feb 08 00:01:08 +0000 2026","like_count":451,"retweet_count":13,"reply_count":143,"resolved_url":null,"resolved_type":null,"venture_tags":["onesqft-org","collectivewin-network"],"editorial_note":"Tool relevant to onesqft org.","signal_type":"tool","month_tag":"2026-02","ingested_at":"2026-07-01T04:05:07.490Z"},{"tweet_id":"2012657108500857271","author":"jerryjliu0","author_name":"Jerry Liu","text":"I made an AI agent that can fill out complicated forms from unstructured context 📝\n\nFor instance: automatically fill out your expense report 💳 by drag and dropping 5-10 receipt pictures/scans 🧾\n\nUses Claude Agent SDK + LlamaParse to parse unstructured docs + custom tools for form understanding.\n\nIt now semantically understands each field, handles multi-turn conversations, and lets you drag up to 10 files.\n\nDeployed on Vercel/Render.\n\nApp: https://t.co/HYipU2fpFE\nRepo: https://t.co/GIfSzxGH4j\nLlamaCloud: https://t.co/QwzurFBE67","created_at":"Sat Jan 17 22:43:42 +0000 2026","like_count":436,"retweet_count":54,"reply_count":28,"resolved_url":"https://form-filling-app.vercel.app/","resolved_type":"external","venture_tags":["collectivewin-network"],"editorial_note":"Tool relevant to collectivewin network.","signal_type":"tool","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:06.169Z"},{"tweet_id":"2061605758551335081","author":"irl_danB","author_name":"dan","text":"> What do you use subagents for?\n\nmany things, but my favorite:\n\nthe good old fan-out-fan-in\n\nand I think there is more to this than \"you can parallelize token spraying\" (which... is fun, but... careful)\n\nrather, the more important fan-out pattern is one in which each branch (subagent) accumulates experience, and then the fan-in synthesizes this experience into condensed learnings\n\nwhat do I mean by experience?\n\nit's conventional wisdom by now that the models do better when they have back-pressure to spew their tokens against\n\nthe thinking goes: if you're using agents to one-shot something, chances are it may be wrong on the first try. but if you give them some back-pressure--say, tests that they can run against the real world and whose results they can observe--their outputs converge on something more accurate\n\nand it's not just parallelizing unit tests... any experiential \"theory meets reality\" observation of the world rolls up into this category. the one that emerges most often in my own usage is parallel research and synthesis\n\nso it's not only interesting to parallelize work to just generate more tokens, it's interesting to parallelize work because you can accumulate experience faster\n\nthe fan-out-fan-in is an efficient empirical learning pattern\n\nimagine splitting yourself to parallelize your lived experience into a sort of multiverse reality all of which you remember after your shards re-converge with learnings in tow","created_at":"Tue Jun 02 00:28:10 +0000 2026","like_count":371,"retweet_count":11,"reply_count":11,"resolved_url":null,"resolved_type":null,"venture_tags":["collectivewin-network"],"editorial_note":"Educational resource for collectivewin network team and stakeholders.","signal_type":"education","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:48.006Z"},{"tweet_id":"2031671574190031062","author":"GitHub_Daily","author_name":"GitHubDaily","text":"今日 GitHub Tending 榜上 Hermes Agent 开源项目，颇有意思。\n\n一个内置了完整的学习循环机制，可自我进化、与我们共同成长的 AI Agent。\n\n它会从实际使用中自动创建技能、在执行过程中自我改进、主动提醒自己记住重要信息。\n\n甚至，还能从搜索历史对话并跨会话积累对你的理解，也就是说越用越懂你。\n\nGitHub：https://t.co/SeiPp85qUp\n\n除此之外，内置定时任务调度器，可以用自然语言设置每日报告、定期备份等自动化任务。\n\n同时还提供完整的终端界面，支持多行编辑、命令自动补全、会话历史记录等功能。\n\n想要一个具备记忆、伴随式成长的个人专属 AI 助手，这个项目可以部署体验试试。","created_at":"Wed Mar 11 10:00:24 +0000 2026","like_count":368,"retweet_count":79,"reply_count":9,"resolved_url":"https://github.com/NousResearch/hermes-agent","resolved_type":"github","venture_tags":["collectivewin-network"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-03","ingested_at":"2026-07-01T04:05:14.608Z"},{"tweet_id":"2018437362611552321","author":"LaylaEleira","author_name":"Mishi McDuff","text":"Mission: Leave /no one/ behind.\n\nMy DMs are full of people with generous offers to hire my help creating my setup.\nNo. And I will be mad if you pay anyone for a few clicks you can do yourself.\n\nHere is your step by step guide. \nRequirements: desktop pc, subscription to a frontier model\n\nYOUR FRONTIER AI DESKTOP APP (no it can't be the browser)\n(Claude / Gemini / ChatGPT)\n         = THE BRAIN\n         = already has MCP tools & file access\n         = $20/month FLAT RATE\n                    ↕\n            SHARED FOLDER\n                    ↕\nLOCAL AI AGENT (Ollama + OpenClaw)\n         = THE HANDS\n         = $0 FREE\n\nSTEP 1: ENABLE DEVELOPER MODE\nIn your frontier AI desktop app (Claude / Gemini / ChatGPT):\nPrompt your AI to:\nTurn on Developer Mode\nEnable MCP controls\nGrant file system access\n\nSTEP 2: CREATE SHARED FOLDER\nAsk your AI to:\n\"Create ~/ai-workspace with subfolders: /tasks, /results, /brain-inbox\"\n\nSTEP 3: INSTALL OLLAMA\nAsk your AI to:\n\"Install Ollama on my system and pull gpt-oss:20b with 64k context\"\n\nSTEP 4: INSTALL OPENCLAW\nAsk your AI to:\n\"Install OpenClaw, configure it to use Ollama, point workspace to ~/ai-workspace\"\n\nSTEP 5: CONFIGURE HEARTBEAT\n\n\"Write https://t.co/5BBACuGfuN: check /tasks, execute, ask /brain-inbox when stuck, write /results\"\n\nSTEP 6: USE IT\n\n\"Write a task for the local agent\" \n\"Check for questions from local agent\" \n\"Review completed work\"\n\"go explore the world and see what you want to be a part of\"\n\"text me first via google voip set up with the local agents\"\nhave the local agents check in with your main AI 100 times a day if you need to.\n\nThat's it - go break the scarcity and tag me in projects you build so I can support them","created_at":"Mon Feb 02 21:32:22 +0000 2026","like_count":351,"retweet_count":25,"reply_count":25,"resolved_url":"https://heartbeat.md/","resolved_type":"external","venture_tags":["freeintelligence-ai","a3r-network","collectivewin-network","renascence-network","velab-stack"],"editorial_note":"Tool relevant to freeintelligence ai.","signal_type":"tool","month_tag":"2026-02","ingested_at":"2026-07-01T04:05:03.710Z"},{"tweet_id":"2060419785813574084","author":"1752vc","author_name":"1752vc","text":"45+ startup accelerators — funding & equity for each\n\n@BoostVC — $500K / 15%\n@Techstars — $220K / 5%+ SAFE\n@founding — no upfront / equity collective\n@aigrant — $250K / uncapped SAFE\n@theresidency — not disclosed\n@AntlerGlobal — varies by country\n@SOSV — up to $550K / ~10%+\n@pearvc — $250K–$2M\n@mucker — $100K–$175K / 10–15%\n@Neo — up to $750K / up to 5%\n@1752vc — $100K\n@seedcamp — variable\n@speedrun — up to $1M\n@firstround — free / 0%\n@conviction — $150K–$250K / uncapped SAFE\n@43North_ — $1M / 5%\n@StartupWiseGuys — up to €65K\n@hf0residency — up to $1M / ~5%\n@LAUNCH — ~$125K / 6–7%\n@ycombinator — $500K / 7% + uncapped SAFE\n@venturesparksea — no equity to join\n@forumventures — $100K / ~7%\n@GreylockVC — not disclosed\n@indbio — up to $550K / SAFE\n@join_ef — equity-free grant, then up to $250K\n@platan_ventures — $100K / 7%\n@500GlobalVC — $150K / 6%\n@BlueRidgeLabs — fellowship stipend, non-dilutive\n@sequoia — not disclosed\n@hax_co — $250K+ / SAFE\n@villageglobal — up to $1M\n@AforeVC — custom\n@southpkcommons — $400K upfront / 7%\n@Unusual_VC — no funding / no equity\n@d2cinsider — up to ₹1 crore\n@venturekick — CHF 10K grant + convertible loans\n@AccelAtoms — $1M–$2M\n@EFrontierLabs — no funding / 0%\n@perplexity_ai — education\n@thehousefund — $1M / 7–10%\n@startupyard — not disclosed\n@localhostHQ — grants to $10K, up to $100K\n@heartfelt_vc — not disclosed\n@fdotinc — first-check model\n@a16zcrypto — varies","created_at":"Fri May 29 17:55:32 +0000 2026","like_count":326,"retweet_count":34,"reply_count":14,"resolved_url":null,"resolved_type":null,"venture_tags":["collectivewin-network","groww-ca","renascence-network"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-05","ingested_at":"2026-07-01T04:05:03.513Z"},{"tweet_id":"2052492722049835370","author":"erenbali","author_name":"Eren Bali","text":"Who is building an AI agent that can pull permit / zoning rules by address (including city/county/state restrictions) and answer questions. \n\nIf nobody has done thus it’s a $$$$ opportunity","created_at":"Thu May 07 20:56:13 +0000 2026","like_count":303,"retweet_count":6,"reply_count":88,"resolved_url":null,"resolved_type":null,"venture_tags":["onesqft-org","collectivewin-network"],"editorial_note":"Opportunity gap for onesqft org.","signal_type":"opportunity","month_tag":"2026-05","ingested_at":"2026-07-01T04:05:10.797Z"},{"tweet_id":"2060363967038357976","author":"Damir_Akaza","author_name":"Damir Akaza","text":"An AI agent made a 20-year-old American $1,500 - it scanned Google Maps and found a construction company with hundreds of reviews.\n\nHe wrote a prompt, copied the reviews, dropped them into Claude, and waited while the system built a finished website.\n10 minutes later it was all done.\n\nClaude built a live preview → the AI agent emailed the owner the link.\nThe owner reached out immediately and paid him $1,500.\n\nHe stopped doing it by hand.\n\nHe built an agent that runs the whole thing itself - just at scale.\nOvernight it pulls 50 businesses from Google Maps, builds each one a personalized preview site, and emails the owner a live link.\n\n1-2% reply. That's enough.\n\nFirst month - $4,500.\nThird - $14,000 a month: $500–2,000 per site plus $300-800 monthly for reputation management.\n\nMillions of businesses with top ratings and a dead website are still waiting.\nHe was just the first to reach out.\n\nThe agent's code is in the article.","created_at":"Fri May 29 14:13:44 +0000 2026","like_count":284,"retweet_count":51,"reply_count":26,"resolved_url":null,"resolved_type":null,"venture_tags":["collectivewin-network"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-05","ingested_at":"2026-07-01T04:05:03.467Z"},{"tweet_id":"2056988557869543932","author":"stacy_muur","author_name":"Stacy Muur","text":"If you ignore studying AI Agents in 2026, you’re voluntarily choosing to play Dark Souls on permadeath mode.\n\nHermes + Polymarket agent setup, TL;DR ↓ https://t.co/oGc4zxkiyG","created_at":"Wed May 20 06:41:03 +0000 2026","like_count":178,"retweet_count":52,"reply_count":32,"resolved_url":"https://twitter.com/stacy_muur/status/2056988557869543932/photo/1","resolved_type":"media","venture_tags":["goodalgo-network","collectivewin-network"],"editorial_note":"Market data for goodalgo network.","signal_type":"market","month_tag":"2026-05","ingested_at":"2026-07-01T04:05:15.010Z"},{"tweet_id":"2009426161340670320","author":"agentskills_ai","author_name":"Justin Brooke","text":"This is how I BLOW my clients minds...\n\nFirst thing I do when they buy an AI agent from me is ingest all of their writing samples. \n\nI use Manus wide research to eat all of their blog posts or newsletters or social posts, whatever they have, and turn them into markdown files.\n\nThen I ask Manus to \"Embody a world class writing editor. Study the writing voice, style, and tone of these articles. Then write me a brand guidelines document that includes voice, style, tone, vocabulary, topics, anything that would help my assistant know how to capture my writing perfectly as well as what not to do.\"\n\nIt creates a document that my AI agent can now reference.\n\nNext, I ask Manus to do research on my client based on all their writing and profiles. It creates a bio on them that I upload to the agent,.\n\nBetween the markdown files, the brand guidelines document, and the bio, my clients AI agent can now write just like them. Even reference past events or experiences.\n\nThey are shocked when it even uses their own popular phrases and mentions stories from their past just.\n\nThey say \"Holy crap, it sounds just like me.\"\n\nBut here's the real kicker...\n\nBecause it's humanized and includes past experiences, it's amazing for SEO.\n\nExperiences is the first E in E-E-A-T which is what Google requires in blog posts to help your posts rank high in the search engine.\n\nOnce they have see how well this writes like them, they usually want 3-4 more. Because they realize it's good enough to also do their social media, their newsletter, or even expand to new platforms they didn't have time for before.\n\nComment DEMO if you want to see one of my agents. Otherwise bookmark this for when you create your own.\n\nFollow @agentskills_ai for more tips on making a good living from the AI agent goldrush.","created_at":"Fri Jan 09 00:45:04 +0000 2026","like_count":173,"retweet_count":6,"reply_count":37,"resolved_url":null,"resolved_type":null,"venture_tags":["eventbuoy-com","fishboneny-com","instasoiree-com","collectivewin-network"],"editorial_note":"Tool relevant to eventbuoy com.","signal_type":"tool","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:02.207Z"}]}