{"venture":"velab-stack","count":76,"signals":[{"tweet_id":"2017742741636321619","author":"bcherny","author_name":"Boris Cherny","text":"I'm Boris and I created Claude Code. I wanted to quickly share a few tips for using Claude Code, sourced directly from the Claude Code team. The way the team uses Claude is different than how I use it. Remember: there is no one right way to use Claude Code -- everyones' setup is different. You should experiment to see what works for you!","created_at":"Sat Jan 31 23:32:12 +0000 2026","like_count":50732,"retweet_count":5823,"reply_count":924,"resolved_url":null,"resolved_type":null,"venture_tags":["velab-stack"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:06.276Z"},{"tweet_id":"2008584593222652057","author":"DilumSanjaya","author_name":"Dilum Sanjaya","text":"Vibe coded a game character selection screen\n\nEverything here was made with AI tools\nNano Banana: character design + UI\nTencent Hunyuan3D: image to 3D\nGemini Pro: UI\n\nMore details ↓ https://t.co/VfwOpYRpsO","created_at":"Tue Jan 06 17:00:59 +0000 2026","like_count":10168,"retweet_count":689,"reply_count":427,"resolved_url":"https://twitter.com/DilumSanjaya/status/2008584593222652057/video/1","resolved_type":"media","venture_tags":["anygame-dev","velab-stack"],"editorial_note":"Tool relevant to anygame dev.","signal_type":"tool","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:11.564Z"},{"tweet_id":"2011897629987520526","author":"nearcyan","author_name":"near","text":"this is how i claude code now. it's fun! https://t.co/thkWyCji2S","created_at":"Thu Jan 15 20:25:48 +0000 2026","like_count":9661,"retweet_count":566,"reply_count":395,"resolved_url":"https://twitter.com/nearcyan/status/2011897629987520526/video/1","resolved_type":"media","venture_tags":["velab-stack"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:09.903Z"},{"tweet_id":"2031784342037680413","author":"GeminiApp","author_name":"Google Gemini","text":"We’ve been seeing some amazing Nano Banana 2 creations lately. 🍌\n\nHere are some standouts. 🧵","created_at":"Wed Mar 11 17:28:30 +0000 2026","like_count":9437,"retweet_count":474,"reply_count":380,"resolved_url":null,"resolved_type":null,"venture_tags":["velab-stack"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-03","ingested_at":"2026-07-01T04:05:14.657Z"},{"tweet_id":"2035080458304987603","author":"saranormous","author_name":"sarah guo","text":"Caught up with @karpathy for a new @NoPriorsPod: on the phase shift in engineering, AI psychosis, claws, AutoResearch, the opportunity for a SETI-at-Home like movement in AI, the model landscape, and second order effects\n\n02:55 - What Capability Limits Remain?\n06:15 - What Mastery of Coding Agents Looks Like\n11:16 - Second Order Effects of Coding Agents\n15:51 - Why AutoResearch\n22:45 - Relevant Skills in the AI Era\n28:25 - Model Speciation\n32:30 - Collaboration Surfaces for Humans and AI\n37:28 - Analysis of Jobs Market Data\n48:25 - Open vs. Closed Source Models\n53:51 - Autonomous Robotics and Atoms\n1:00:59 - MicroGPT and Agentic Education\n1:05:40 - End Thoughts","created_at":"Fri Mar 20 19:46:05 +0000 2026","like_count":7638,"retweet_count":1085,"reply_count":236,"resolved_url":null,"resolved_type":null,"venture_tags":["chipmonk-tech","freeintelligence-ai","velab-stack"],"editorial_note":"Market data for chipmonk tech.","signal_type":"market","month_tag":"2026-03","ingested_at":"2026-07-01T04:05:03.274Z"},{"tweet_id":"2064541701012607181","author":"aaronp613","author_name":"Aaron","text":"Another iOS app accidentally shipped a CLAUDE.md file: \n\nNetflix https://t.co/Ph0g9v1r9P","created_at":"Wed Jun 10 02:54:33 +0000 2026","like_count":7345,"retweet_count":331,"reply_count":131,"resolved_url":"https://twitter.com/aaronp613/status/2064541701012607181/photo/1","resolved_type":"media","venture_tags":["velab-stack"],"editorial_note":"General intelligence signal for the VE Lab portfolio.","signal_type":"general","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:47.498Z"},{"tweet_id":"2009035664860565525","author":"boredGenius","author_name":"zefram.eth","text":"Introducing CallMe, a minimal plugin that lets Claude Code call you on the phone.\n\nStart a task, walk away. Your phone/watch rings when Claude is done, stuck, or needs a decision.\n\nFree &amp; open source (MIT). Underlying API costs are cents per minute of call. https://t.co/2FlZf9a5jW","created_at":"Wed Jan 07 22:53:23 +0000 2026","like_count":6734,"retweet_count":433,"reply_count":275,"resolved_url":"https://twitter.com/boredGenius/status/2009035664860565525/photo/1","resolved_type":"media","venture_tags":["freeintelligence-ai","velab-stack"],"editorial_note":"Tool relevant to freeintelligence ai.","signal_type":"tool","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:13.615Z"},{"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":"2008956639894786402","author":"AndrewYNg","author_name":"Andrew Ng","text":"If you’ve never written code before, this is for you. I’ve just launched a course that shows you, in less than 30 minutes, how to describe an idea for an app and build it with AI.\n\nIn this course, you'll build a working web application - a funny interactive birthday message generator that runs in your browser and can be shared with friends. You'll customize it by telling AI how you want it changed, and tweak it until it works the way you want. By the end, you'll have a repeatable process you can apply to build a wide variety of applications.\n\nIf you want to try vibe coding, this will be the best place to start! Further, you'll be able to use these techniques with whatever tool you're most comfortable with (like ChatGPT, Gemini, Claude, or others) -- we're vendor neutral. \n\nSkills you'll gain:\n- How to build web apps with AI - zero coding skills needed\n- How to fix and improve your creations by chatting with AI\n- A simple process you can use to build other things you can dream up\n\nBuilding with AI is one of the most fun things in the world. Please join me and take your first step! I think you will be surprised at what you can build. And if you're an experienced engineer, please share this with someone in your life who's been curious about building with AI.\n\nCome build with me! https://t.co/q6gyzlxWFS","created_at":"Wed Jan 07 17:39:22 +0000 2026","like_count":5681,"retweet_count":933,"reply_count":357,"resolved_url":"https://www.deeplearning.ai/courses/build-with-andrew/","resolved_type":"external","venture_tags":["freeintelligence-ai","onesqft-org","velab-stack"],"editorial_note":"Tool relevant to freeintelligence ai.","signal_type":"tool","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:13.562Z"},{"tweet_id":"2009757254791147786","author":"virattt","author_name":"Virat Singh","text":"I’ve been building Dexter for 2 months now.\n\nIt’s like Claude Code, but for finance.\n\nWhat Dexter can do:\n• find undervalued stocks\n• analyze them in detail\n• build investment thesis\n\nAll of the code is open source.\n\nBonus: Dexter can also run on local LLMs.","created_at":"Fri Jan 09 22:40:43 +0000 2026","like_count":5518,"retweet_count":343,"reply_count":247,"resolved_url":null,"resolved_type":null,"venture_tags":["freeintelligence-ai","onesqft-org","velab-stack"],"editorial_note":"Tool relevant to freeintelligence ai.","signal_type":"tool","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:02.301Z"},{"tweet_id":"2067923911883579628","author":"heynavtoor","author_name":"Nav Toor","text":"A developer in China named tw93 got tired of his laptop dying.\n\nHe would open Slack and watch 524 megabytes of disk space disappear. He would open Discord and watch another 265. He would open Notion and watch 800 megabytes of RAM evaporate before he had typed a single word.\n\nHe looked into why.\n\nEvery \"desktop app\" on his computer was the same thing. A website wrapped in a full copy of the Chrome browser engine. The framework is called Electron. An empty Electron app starts at 150 megabytes of RAM before you click anything. With twelve of them open, his laptop was running twelve copies of the same browser.\n\nHe thought there had to be a better way.\n\nSo in 2022, he started building one.\n\nHe called it Pake. Two characters in Chinese mean \"packaging.\" He wrote it in Rust on top of a framework called Tauri. The idea was simple. Point Pake at any webpage. Get a desktop app. Without dragging an entire browser engine into the binary.\n\nThe first version of Slack he wrapped with it was 8 megabytes.\n\nNot 524. Eight.\n\nThat is what 20 times smaller looks like.\n\nFour years later, his repo has 50,594 stars. 6,144 forks. The license is MIT. The last commit was yesterday.\n\nThe bio on his GitHub reads: \"Anything added dilutes everything else.\"\n\nToday the Pake releases page contains pre-built apps for ChatGPT, Discord, Gemini, Grok, DeepSeek, Twitter, YouTube, Excalidraw, Flomo, WeChat, and twelve more. All under 10 megabytes. All native. All free.\n\nOr you point Pake at any URL you want and it builds one for you in one command.\n\nSlack's desktop app: 524 megabytes.\nPake-built Slack: 8 megabytes.\n\nDiscord's desktop app: 265 megabytes.\nPake-built Discord: 9 megabytes.\n\nChatGPT for Windows: 260 megabytes.\nPake-built ChatGPT: 9 megabytes.\n\ntw93 is one person. He has 11,305 followers on GitHub. He runs a blog at https://t.co/WZoyHop8Id. He has shipped 39 public repos. He still pushes commits to Pake every week.\n\nHe did not start a company. He did not raise money. He did not write a Medium post about how Electron is dead.\n\nHe just shipped the thing that made it true.\n\n(Link in the comments)","created_at":"Fri Jun 19 10:54:15 +0000 2026","like_count":5216,"retweet_count":559,"reply_count":120,"resolved_url":"https://tw93.fun/","resolved_type":"external","venture_tags":["freeintelligence-ai","onesqft-org","velab-stack"],"editorial_note":"Tool relevant to freeintelligence ai: could inform product or stack decisions.","signal_type":"tool","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:46.296Z"},{"tweet_id":"2036900468056875332","author":"advaitpaliwal","author_name":"Advait Paliwal","text":"I built Feynman, Claude Code for research.\n\nI gave it a question and it came back 30 minutes later with a cited meta analysis.\n\nIt can also replicate experiments on Runpod, audit claims against code, and simulate peer review.\n\nOpen source &amp; MIT license, link below https://t.co/aIhckYXb1N","created_at":"Wed Mar 25 20:18:10 +0000 2026","like_count":4934,"retweet_count":437,"reply_count":137,"resolved_url":"https://twitter.com/advaitpaliwal/status/2036900468056875332/video/1","resolved_type":"media","venture_tags":["velab-stack"],"editorial_note":"Tool relevant to velab stack.","signal_type":"tool","month_tag":"2026-03","ingested_at":"2026-07-01T04:05:14.774Z"},{"tweet_id":"2056839665551024474","author":"HappyyPablo","author_name":"Shubham Sharma","text":"open sourcing Marlin-2B 🐟\na tiny VLM to extract structured information from videos\n\nMarlin is finetuned for two questions devs want to ask in their videos: what is happening, and when?\n\nBest open model in its weight class, competitive with Gemini-2.5-flash at only 2B params 🧵","created_at":"Tue May 19 20:49:25 +0000 2026","like_count":4608,"retweet_count":520,"reply_count":135,"resolved_url":null,"resolved_type":null,"venture_tags":["velab-stack"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-05","ingested_at":"2026-07-01T04:05:12.931Z"},{"tweet_id":"2017742743125299476","author":"bcherny","author_name":"Boris Cherny","text":"1. Do more in parallel\n\nSpin up 3–5 git worktrees at once, each running its own Claude session in parallel. It's the single biggest productivity unlock, and the top tip from the team. Personally, I use multiple git checkouts, but most of the Claude Code team prefers worktrees -- it's the reason @amorriscode built native support for them into the Claude Desktop app!\n\nSome people also name their worktrees and set up shell aliases (za, zb, zc) so they can hop between them in one keystroke. Others have a dedicated \"analysis\" worktree that's only for reading logs and running BigQuery\n\nSee https://t.co/yXde5dW1vZ","created_at":"Sat Jan 31 23:32:12 +0000 2026","like_count":4247,"retweet_count":195,"reply_count":99,"resolved_url":"https://code.claude.com/docs/en/common-workflows#run-parallel-claude-code-sessions-with-git-worktrees","resolved_type":"external","venture_tags":["velab-stack"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:06.261Z"},{"tweet_id":"2010730798278910282","author":"EHuanglu","author_name":"el.cine","text":"totally blown away by Google Gemini 3 + three.js..\n\njust generated a 3D product interactive app with zero coding.. use hand gesture to rotate, scale, control xyz and lighting of 3D model\n\nAI is taking over.. accept or not\n\ntutorial with prompts &amp; code below: https://t.co/l3R99B1GEu","created_at":"Mon Jan 12 15:09:14 +0000 2026","like_count":4090,"retweet_count":365,"reply_count":80,"resolved_url":"https://twitter.com/EHuanglu/status/2010730798278910282/video/1","resolved_type":"media","venture_tags":["velab-stack"],"editorial_note":"Educational resource for velab stack.","signal_type":"education","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:04.427Z"},{"tweet_id":"2027659595599253892","author":"alex_verem","author_name":"Alex Veremeyenko","text":"This is AMAZING.. someone just built an App Store for Claude Code.\n\nIt's called SkillsMP and there are 200,000+ agent skills that teach your AI exactly how to write PPTX files, review PRs, deploy to cloud, analyze data, and more.\n\n100% Opensource.\n\n(Link is in the comments) https://t.co/1g1KaJuIA6","created_at":"Sat Feb 28 08:18:14 +0000 2026","like_count":4076,"retweet_count":458,"reply_count":116,"resolved_url":"https://twitter.com/alex_prompter/status/2027659595599253892/photo/1","resolved_type":"media","venture_tags":["velab-stack"],"editorial_note":"Educational resource for velab stack.","signal_type":"education","month_tag":"2026-02","ingested_at":"2026-07-01T04:05:05.577Z"},{"tweet_id":"2040546099711401993","author":"kloss_xyz","author_name":"klöss","text":"let me explain what Karpathy just shared\n\nhe’s spending way less time using AI to write code and more time using it to build personal knowledge bases\n\nthe full breakdown: \n\n→ he dumps raw sources (articles, papers, repos, datasets, images) into a folder. then has an LLM organize them into a wiki… a collection of markdown files with summaries, links between related ideas, and concept articles that connect everything together\n\n→ he uses Obsidian as his frontend. he views raw data, the organized wiki, and visualizations all in one place. the LLM writes and maintains the entire wiki. he rarely touches it directly\n\n→ once the wiki gets big enough (~100 articles, ~400K words on one recent research topic)… he just asks the LLM questions against it. no RAG (complex retrieval system) needed. the LLM maintains its own index files and reads what it needs\n\n→ outputs aren’t just text. he has the LLM render markdown files, slide decks, charts, and images… then files the outputs back into the wiki so every question he asks makes the knowledge base smarter\n\n→ he runs “health checks” where the LLM finds inconsistent data, fills gaps using web search, and suggests new connections and articles. the wiki cleans and improves itself over time\n\n→ he even vibe coded a search engine over his wiki that he uses directly in a browser or hands off to an LLM as a tool for bigger questions\n\n→ his next step: training a custom model on his own research so it knows the material in its weights… not just in the context window\n\nmost people use AI to get answers.\n\nKarpathy is using AI to build his own ‘Jarvis’ via compounding knowledge systems that get smarter the more he uses them\n\nthe difference between asking ChatGPT or Claude a question and having a personal research engine that grows with every session is the gap most people haven’t crossed yet\n\nand this is where it gets really powerful\n\nnot replacing your thinking but organizing everything you’ve ever learned into something you can query or create with forever\n\nif you’ve been using CLAUDE .md and context files in Claude Code… this is that same idea at a much bigger scale\n\nif you’re doing any kind of AI work or deep learning on a new topic right now…\n\nthis workflow is worth studying closely\n\nyou’ll want to adopt it yourself\n\nthis is one of AI’s brightest minds after all. we’re all better off listening to him.","created_at":"Sat Apr 04 21:44:36 +0000 2026","like_count":3724,"retweet_count":431,"reply_count":91,"resolved_url":null,"resolved_type":null,"venture_tags":["freeintelligence-ai","velab-stack"],"editorial_note":"Tool relevant to freeintelligence ai.","signal_type":"tool","month_tag":"2026-04","ingested_at":"2026-07-01T04:05:05.249Z"},{"tweet_id":"2007842172666560983","author":"BenjaminDEKR","author_name":"Benjamin De Kraker","text":"I built an AI Factory that uses Claude Code agents to build apps while I sleep.\n\nThis is an automated \"assembly line\" pipeline, all run by Claude Opus 4.5. Projects move through a Kanban-like system from Idea to Research, Architecture, Coding and Testing.\n\nFactory workers start with market research, searching the web and social media. Then they validate everything, checking app stores for competition and securing a domain name. (All automated by APIs and MCPs)\n\nThey automatically create several rounds of app UI revisions. When I wake up, there are projects waiting for me to review: approve this design, give feedback, send that one back for improvement.\n\nProjects are actively coded and tested by the agents, while the entire process is tracked and logged (with \"worker documents\" that travel each step of the way, like a real factory.)","created_at":"Sun Jan 04 15:50:52 +0000 2026","like_count":3694,"retweet_count":248,"reply_count":335,"resolved_url":null,"resolved_type":null,"venture_tags":["velab-org","velab-stack"],"editorial_note":"Tool relevant to velab org.","signal_type":"tool","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:07.646Z"},{"tweet_id":"2067682870009925736","author":"MatthewBerman","author_name":"Matthew Berman","text":"Just launched Loop Library - a curated list of agent loops you can use right now.   \n\nFind loops, submit your own, tokenmaxx!!  \n\nhttps://t.co/7bVzOyZMrt","created_at":"Thu Jun 18 18:56:26 +0000 2026","like_count":3565,"retweet_count":354,"reply_count":117,"resolved_url":"https://signals.forwardfuture.ai/loop-library/","resolved_type":"external","venture_tags":["velab-stack"],"editorial_note":"Tool relevant to velab stack: could inform product or stack decisions.","signal_type":"tool","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:46.452Z"},{"tweet_id":"2008161724902355118","author":"LiorOnAI","author_name":"Lior Alexander","text":"You can now give infinite memory to Claude Code.\n\nClaude-Mem just released a free open source memory plugin by thedotmack.\n\nIt saves context so Claude resumes work without reexplaining everything.\n\n𝗣𝗲𝗿𝘀𝗶𝘀𝘁𝗲𝗻𝘁 𝗺𝗲𝗺𝗼𝗿𝘆 𝗳𝗼𝗿 𝗖𝗹𝗮𝘂𝗱𝗲 𝗖𝗼𝗱𝗲\nClaude-Mem records what Claude does during coding sessions.\nIt stores tool usage, observations, and summaries locally.\nFuture sessions reuse that compressed context automatically.\n\nHow memory stays efficient.\n→ Claude saves short semantic summaries, not raw transcripts.\n→ Retrieval uses search before loading full details.\n→ Tokens stay low even with long histories.\n\nWhat Endless Mode changes.\n• Up to 95 percent fewer tokens per session.\n• About 20 times more tool calls before context limits.\n• Enabled from the beta channel.\n\nWhat you control.\n• Local SQLite storage only.\n• Private tags exclude sensitive data.\n• Configurable context injection.","created_at":"Mon Jan 05 13:00:39 +0000 2026","like_count":3321,"retweet_count":338,"reply_count":116,"resolved_url":null,"resolved_type":null,"venture_tags":["velab-stack"],"editorial_note":"Tool relevant to velab stack.","signal_type":"tool","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:04.234Z"},{"tweet_id":"2015838119472308224","author":"arram","author_name":"Arram","text":"Claude Code made me the CRM I've wanted for ten years. Automatically updates from text messages, email, iPhoto, calendar, etc. Shows all interactions in one place. \n\nMost of us have decades of data on interactions with thousands of people that just sits there unused.\n\nI call it Palantini - as in a tiny Palantir.\n\n🧵1/7","created_at":"Mon Jan 26 17:23:54 +0000 2026","like_count":3303,"retweet_count":137,"reply_count":204,"resolved_url":null,"resolved_type":null,"venture_tags":["instasoiree-com","velab-stack"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:04.975Z"},{"tweet_id":"2029301170670309740","author":"toddsaunders","author_name":"Todd Saunders","text":"Fun command built in Claude Code: /cost-estimate\n\nIt scans your codebase and cross-references current market rates to calculate what your project would've cost a real team to build.\n\nIt looks at all the APIs, integrations, everything. \n\nWithout AI: ~2.8 years. ~$650k.\n\nWith AI: 30 hours.\n\nIt's absurd when you start to think about it like this.","created_at":"Wed Mar 04 21:01:16 +0000 2026","like_count":3046,"retweet_count":228,"reply_count":197,"resolved_url":null,"resolved_type":null,"venture_tags":["velab-stack"],"editorial_note":"Market data for velab stack.","signal_type":"market","month_tag":"2026-03","ingested_at":"2026-07-01T04:05:14.593Z"},{"tweet_id":"2062470358687498470","author":"tuturetom","author_name":"Tom Huang","text":"正式开源 html-video 🚀 html版剪映来了！\n\n你的 Agent 现在可以通过写 html轻松做出世界级水准的产品宣传、知识解说视频，成本极低！🔥\n\n历时 3 天，3 万行代码！支持20多套顶尖视频风格模板，分页编辑，mp4 导出，支持包括Claude Code、Codex、hermes、cursor等主流 Agent接入即用💥地址见评论区 https://t.co/jsgztt2j32","created_at":"Thu Jun 04 09:43:47 +0000 2026","like_count":3025,"retweet_count":467,"reply_count":126,"resolved_url":"https://twitter.com/tuturetom/status/2062470358687498470/video/1","resolved_type":"media","venture_tags":["miny-network","velab-stack"],"editorial_note":"General intelligence signal for the VE Lab portfolio.","signal_type":"general","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:48.795Z"},{"tweet_id":"2067593673072877833","author":"askalphaxiv","author_name":"alphaXiv","text":"Introducing autoresearch for arXiv papers \n\nChange 'arxiv' to 'autoarxiv' in any paper URL\n\nAn agent deploys to resolve setup issues on the codebase, run a minimal reproduction, and estimate full replication cost.  Read more below https://t.co/2UHVqbT7Eu","created_at":"Thu Jun 18 13:02:00 +0000 2026","like_count":2769,"retweet_count":383,"reply_count":48,"resolved_url":"https://twitter.com/askalphaxiv/status/2067593673072877833/video/1","resolved_type":"media","venture_tags":["freeintelligence-ai","velab-stack"],"editorial_note":"Market signal for freeintelligence ai: indicates direction of the industry.","signal_type":"trend","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:46.351Z"},{"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":"2017780737324245236","author":"dani_avila7","author_name":"Daniel San","text":"Save this post.\n\nWhen you’re in your project, copy the whole thread and paste it into Claude in Plan Mode.\n\nAsk Claude to build a concrete strategy to apply these techniques to your codebase.\n\nDone.\n\nNow you’re literally using the same playbook as the people who built Claude Code","created_at":"Sun Feb 01 02:03:10 +0000 2026","like_count":2570,"retweet_count":116,"reply_count":29,"resolved_url":null,"resolved_type":null,"venture_tags":["velab-stack"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-02","ingested_at":"2026-07-01T04:05:06.935Z"},{"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":"2061870611115188297","author":"Fluyeporlaweb","author_name":"PA13L0","text":"10 repositorios de GitHub tan buenos que no deberían ser gratuitos.\n\n1. TradingAgents\n\nUn equipo completo de analistas de IA que debate estrategias y ejecuta operaciones en mercados reales. 4 analistas en paralelo: fundamentales, sentimiento, noticias y técnico. Luego un gestor de riesgos y un agente ejecutor. Como tener un equipo de Wall Street que trabaja 24 horas en tu ordenador.\nrepo - https://t.co/meb8dlqGwB\n\n2. LibreChat\n\nChatGPT, Claude, Gemini, DeepSeek y 20 modelos más en una sola interfaz. Autoalojado. Soporte nativo para MCP. Tu historial, tu infraestructura, tus datos. OpenAI cobra $20 al mes por su interfaz. Aquí usas tus propias claves y no pagas nada de más.\nrepo - https://t.co/Uj9Cy3Lbc9\n\n3. HyperFrames\n\nHeyGen abrió el código de su motor de video interno. Escribes HTML. El agente renderiza MP4. Sin React, sin JSX, sin formatos propietarios. GSAP, Lottie y Three.js funcionan de serie. El mismo HTML siempre produce el mismo archivo. Usado en producción por HeyGen, tldraw y TanStack.\nrepo - https://t.co/EeLlpqK5L2\n\n4. Fincept Terminal\n\nUna terminal Bloomberg que corre en tu laptop. Análisis nivel CFA 1, 2 y 3. Más de 20 agentes de IA inversores que razonan como Buffett, Dalio y Soros. Más de 100 conectores de datos. Bloomberg cobra $24.000 al año. Esto no cuesta nada.\nrepo - https://t.co/qCQkBgEzLS\n\n5. MoneyPrinterTurbo\n\nMetes una palabra clave. Salen el guion, las imágenes, los subtítulos, la música y el video final en alta calidad. Horizontal o vertical. Sin editar nada a mano. Lo que hacen los creadores de contenido que no quieren que sepas que usan IA.\nrepo - https://t.co/RtCmSYCQQw\n\n6. Agentic Inbox\n\nCloudflare acaba de abrir el código de un cliente de email donde un agente de IA lee tu bandeja de entrada y redacta las respuestas. 100% en Cloudflare Workers. Tu email no sale de tu cuenta. Sin servidores externos. Sin suscripción.\nrepo - https://t.co/mGsN8spCOX\n\n7. VoxCPM2\n\nClonas cualquier voz con 3 segundos de audio. 30 idiomas. Calidad estudio de 48kHz. Diseñas voces desde texto: \"voz masculina grave de locutor de radio\". Sin API de pago. Sin que tus muestras de voz salgan de tu máquina. ElevenLabs cobra $22 al mes.\nrepo - https://t.co/ctUrA0d1K9\n\n8. Flowsint\n\nIntroduces un dominio. La herramienta despliega un grafo con todas las IPs, subdominios, emails, wallets cripto y perfiles sociales conectados. Todo almacenado en local. Sin que nadie sepa lo que estás investigando. Para OSINT, due diligence y análisis de competencia.\nrepo - https://t.co/GTrSEJqSsT\n\n9. addyosmani/agent-skills\n\nEl ingeniero de Google que lleva 15 años enseñando rendimiento web a toda la industria publicó sus skills para Claude Code. 23 flujos de trabajo reales probados en producción. API design, code review, debugging, CI/CD y frontend. Instalación con un comando.\nrepo - https://t.co/ByOJtJlQX3\n\n10. Nango\n\nLa capa de integraciones que las empresas pagan $50k al año por alquilar. 700 APIs listas: Salesforce, HubSpot, Slack, Gmail, Stripe, Jira y más. OAuth gestionado. Tu agente de IA genera el código de integración desde un prompt. Usado en producción por Replit, Ramp y Mercor.\nrepo - https://t.co/i5XmU3GzJK\n\nEstos no son juguetes. Cada uno reemplaza un producto de pago por el que todavía te están cobrando.\n\nElige uno. Instálalo. Conéctalo a tu flujo de trabajo.\n\n100% gratis. 100% open source.","created_at":"Tue Jun 02 18:00:36 +0000 2026","like_count":2334,"retweet_count":496,"reply_count":21,"resolved_url":"https://github.com/TauricResearch/TradingAgents","resolved_type":"github","venture_tags":["miny-network","freeintelligence-ai","goodalgo-network","velab-org","velab-stack"],"editorial_note":"Tool relevant to miny network: could inform product or stack decisions.","signal_type":"tool","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:49.032Z"},{"tweet_id":"2056420694087594283","author":"lydiahallie","author_name":"Lydia Hallie ✨","text":"💯 this is why I really like Learning mode in Claude Code\n\nI personally use this for all my side projects and it keeps me so much sharper, great if you want to use Claude Code but still stay hands-on!\n\n/config → Output style → Learning https://t.co/FDtbZTlML1","created_at":"Mon May 18 17:04:34 +0000 2026","like_count":2158,"retweet_count":154,"reply_count":62,"resolved_url":"https://twitter.com/lydiahallie/status/2056420694087594283/photo/1","resolved_type":"media","venture_tags":["velab-stack"],"editorial_note":"Educational resource for velab stack.","signal_type":"education","month_tag":"2026-05","ingested_at":"2026-07-01T04:05:05.123Z"},{"tweet_id":"2014192454258274743","author":"TheAhmadOsman","author_name":"Ahmad","text":"INCREDIBLE\n\nSomeone on r/LocalLLaMA did an incredibly practical thing\n\nThey took a tiny 0.6B model that was trash at task (Text2SQL)\nCreated a knowledge distiliation agent with a Claude Code skill\nAnd made the 0.6B model behave like a specialist using 100 examples\n\nThe problem\n> Small Language Models are “generally helpful”\n> but specialized tasks are “exact or you die”\n> you ask: “Which artists have >1M album sales?”\n> the model answers: “check if genre is NULL”\n\nThe old way to fix this\n> Finetune the model:\n> collect + clean data\n> build training pipeline\n> tune hparams\n> rerun when it’s wrong\n> accidentally become the unpaid\n> intern of your own experiment\n\nThe new way\n> Knowledge distillation via a Claude skill\n> use a strong teacher (DeepSeek-V3)\n> generate synthetic pairs from a small seed set\n> train a tiny student to imitate the teacher on your task\n> ship it as GGUF / HF / LoRA\n> run it locally\n\nDistillation isn’t “creating skill”\nIt’s compressing skill\n\nTHE REAL HACK: agent-as-interface\n> They wrapped the whole distillation loop in an agent “skill”:\n> picks task type (QA / classification / tool calling / RAG)\n> converts messy inputs into clean JSONL\n> runs teacher eval first\n> kicks off distillation + monitors progress\n> packages weights for you to run locally\nThis is the quiet unlock\n\nWhy “teacher eval first” is elite behavior\n> distillation amplifies competence and incompetence\n> if the teacher is wrong, the student learns wrong faster\n> garbage in -> efficient garbage out\nAdult supervision, but for models\n\nThe run breakdown:\n> seed: ~100 raw conversation traces\n> teacher (LLM-as-judge): ~80%\n> base 0.6B: ~36%\n> distilled 0.6B: ~74%\n> output: ~2.2GB GGUF\n> runs locally with llama.cpp\n\nBefore vs after (the entire reason you do this)\n> before: wrong tables, wrong logic, nonsense SQL\n> after: correct JOINs, GROUP BY, HAVING\n> aka “this query actually executes and answers the question”\n\nWhat this really means (bigger than Text2SQL)\nYou don’t need a giant model for every job\n\nYou need tiny specialists that understand your world:\n> internal schemas\n> service / OS logs\n> tool outputs\n> company-specific workflows\n\nTL;DR\n> “fine-tuning is hard” is mostly “the pipeline is annoying”\n> distillation skill turns 10–100 examples into a real specialist\n> the agent wrapper turns the whole thing into a conversation\n> this is how you get practical local SLMs\n> without becoming an MLOps monk\n\nSmall & Specialized models\n> High-leverage\n> Boringly effective\n> Exactly where this is going\n\nThe future is\nLocal inference\nLower latency\nFewer secrets leaving the building","created_at":"Thu Jan 22 04:24:37 +0000 2026","like_count":2100,"retweet_count":209,"reply_count":56,"resolved_url":null,"resolved_type":null,"venture_tags":["chipmonk-tech","freeintelligence-ai","a3r-network","onesqft-org","dank-nyc","velab-stack"],"editorial_note":"Tool relevant to chipmonk tech.","signal_type":"tool","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:09.920Z"},{"tweet_id":"2058492201261244458","author":"victormustar","author_name":"Victor M","text":"New: LongCat just dropped an excellent open-source talking-avatar model (probably SOTA) + MIT licensed 🔥\n\nMade a Hugging Face Space for it and it's very impressive. So many cool products to build with it: AI tutors with a face, dubbing pipelines, talking-head coding agents (imagine Claude Code with a face), NPC dialogue, etc...\n\nSharing the Hugging Face (free) demo below 👇","created_at":"Sun May 24 10:16:00 +0000 2026","like_count":1847,"retweet_count":275,"reply_count":47,"resolved_url":null,"resolved_type":null,"venture_tags":["dank-nyc","velab-stack"],"editorial_note":"Market signal for dank nyc.","signal_type":"trend","month_tag":"2026-05","ingested_at":"2026-07-01T04:05:08.151Z"},{"tweet_id":"2020363804014493920","author":"frankdegods","author_name":"Frank","text":"X just revamped their API to finally be useful \n\nSo I made a skill that searches X, modeled exactly like the native Claude Code research agent\n\nI've been asking like \"find best clawdbot skills last 24hrs\" or \"what are people saying about [ticker] today?\"\n\nhttps://t.co/RHtYxF7pZH https://t.co/ytZI8bT0gO","created_at":"Sun Feb 08 05:07:22 +0000 2026","like_count":1784,"retweet_count":117,"reply_count":184,"resolved_url":"https://github.com/rohunvora/x-research-skill","resolved_type":"github","venture_tags":["velab-stack"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-02","ingested_at":"2026-07-01T04:05:07.504Z"},{"tweet_id":"2007091912008929658","author":"OsaurusAI","author_name":"Osaurus","text":"Claude Code just booked me a flight to Japan.\nOpened Safari. Searched Google Flights. Selected the cheapest option. Got to checkout.\nI just watched. https://t.co/IsBbcuCVkn","created_at":"Fri Jan 02 14:09:36 +0000 2026","like_count":1749,"retweet_count":104,"reply_count":64,"resolved_url":"https://twitter.com/OsaurusAI/status/2007091912008929658/video/1","resolved_type":"media","venture_tags":["renascence-network","velab-stack"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:02.110Z"},{"tweet_id":"2008211151839174956","author":"paoloanzn","author_name":"4nzn","text":"you can scrape any authenticated page with claude code in like 2 mins…\n\nopen the site in your browser, log in normally\n\nopen dev tools → network tab → refresh\n\nfind the first request that loads the content you want\n\nright click → copy as curl\n\nthis copies your auth cookies with it. paste that curl in terminal and you'll get the same content outside the browser\n\nnow just give claude code that curl command and tell it to fetch from that endpoint. it'll handle the rest\n\nworks on basically anything - dashboards, gated content, private apis\n\nthe curl command is doing all the heavy lifting bc it contains your session cookies. you're basically cloning your authenticated state\n\nonly caveat is tokens expire so you might need to recopy if sessions are short\n\nyou are welcome","created_at":"Mon Jan 05 16:17:04 +0000 2026","like_count":1743,"retweet_count":82,"reply_count":50,"resolved_url":null,"resolved_type":null,"venture_tags":["velab-stack"],"editorial_note":"Tool relevant to velab stack.","signal_type":"tool","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:04.266Z"},{"tweet_id":"2009706489225851001","author":"hudzah","author_name":"Hudzah","text":"the new play for startups is to contract a designer early to establish a great design system\n\nthen, arm claude code with figma mcp and you suddenly have the greatest design engineer in the world https://t.co/sL7GP44qcU","created_at":"Fri Jan 09 19:19:00 +0000 2026","like_count":1677,"retweet_count":42,"reply_count":61,"resolved_url":"https://twitter.com/hud_zah/status/2009706489225851001/photo/1","resolved_type":"media","venture_tags":["groww-ca","velab-stack"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:02.273Z"},{"tweet_id":"2066302597586403400","author":"XAMTO_AI","author_name":"Amto","text":"兄弟们，程序员跪着啃源码的时代终于要翻篇了！🔥\n\n这玩意儿叫 Understand Anything，GitHub 直接冲到 59.2k 星，Trending 第一，真不是吹的。\n\n它能把整个代码库变成可点可问的知识图谱：\n\n1️⃣ 点函数秒出依赖关系，谁调谁一目了然\n\n2️⃣ 直接开口问“支付流程怎么走”，答案秒回\n\n3️⃣ 改代码前跑一下 /understand-diff，哪块会爆提前知道\n\nClaude Code、Cursor、VS Code 全支持，一行命令搞定。\n\n20 万行屎山，10 分钟从懵逼到通透，真香。\n🔗：https://t.co/8RxgwFsTsu","created_at":"Sun Jun 14 23:31:43 +0000 2026","like_count":1673,"retweet_count":370,"reply_count":68,"resolved_url":"https://github.com/Lum1104/Understand-Anything","resolved_type":"github","venture_tags":["freeintelligence-ai","velab-stack"],"editorial_note":"Market signal for freeintelligence ai: indicates direction of the industry.","signal_type":"trend","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:47.050Z"},{"tweet_id":"2035385189719765261","author":"zhengyaojiang","author_name":"Zhengyao Jiang","text":"Autoresearch has been out for 2 weeks. The community is trying to apply it to everything with a measurable metric, here are some successful attempts: 🧵 (1/6)","created_at":"Sat Mar 21 15:56:59 +0000 2026","like_count":1662,"retweet_count":138,"reply_count":34,"resolved_url":null,"resolved_type":null,"venture_tags":["velab-stack"],"editorial_note":"Community signal for velab stack.","signal_type":"community","month_tag":"2026-03","ingested_at":"2026-07-01T04:05:06.509Z"},{"tweet_id":"2059231280269541772","author":"DamiDefi","author_name":"Dami-Defi","text":"Claude Code cannot read 300 files at once.\n\nSo someone built a system that lets it control NotebookLM from the terminal instead. The results are wild.\n\nHere is the full workflow nobody is talking about:\n\nThe Setup\n→ Claude Code connects to NotebookLM via a command line interface\n→ Claude searches YouTube, finds relevant videos, uploads them as sources automatically\n→ NotebookLM processes up to 300 sources simultaneously and returns cited, grounded answers\n→ Everything syncs back into your Obsidian vault with passage-level citations you can click to verify\n\nWhy This Changes Research Forever\n→ No more 20 browser tabs you never close\n→ No more copy-pasting outputs into random notes\n→ No more hallucinated answers with no sources to back them up\n→ 60% of citations verified as strong matches in accuracy audits - answers are grounded in real data\n\nWhat Claude Can Do From the Terminal\n→ Search YouTube for relevant videos on any topic and rank by relevance\n→ Create a new NotebookLM notebook and add 20 sources in parallel automatically\n→ Ask questions and export cited answers directly into Obsidian with wikilinks\n→ Set custom personas per notebook - concise, no filler, no preamble\n→ Generate audio overviews and save them as MP3 files into your vault\n→ Build mind maps, flashcard decks, and research dashboards from your sources\n→ Search arXiv for academic papers and feed them directly into NotebookLM\n→ Upload competitor blog posts, podcast episodes, PDFs, and your own vault notes\n\nThe Obsidian Output\n→ Every answer arrives with clickable citations that link to the exact passage in the source video or article\n→ Graph view shows connections between all 20 sources and the topics they share\n→ Q&A log tracks every question asked and the grounded response received\n→ Source dashboard shows citation frequency, topics extracted, and which questions each source answered\n\nUse Cases Worth Building Today\n→ Academic research with arXiv papers, full citation traceability\n→ Competitor analysis from their YouTube channels and blog posts\n→ Company knowledge base for onboarding, new employees ask NotebookLM instead of interrupting teammates\n→ Podcast research, feed 4-hour Lex Fridman episodes and ask what's new in AI this week\n→ Personal second brain, 300 daily notes uploaded and queryable in one notebook\n\nBefore this system existed you needed 20 tabs, hours of manual reading, and no guarantee the answers were real.\n\nNow you type one prompt in the terminal and Claude does all of it for you.\n\nThe research stack of 2026 is not a browser. It is a terminal connected to everything","created_at":"Tue May 26 11:12:50 +0000 2026","like_count":1554,"retweet_count":176,"reply_count":57,"resolved_url":null,"resolved_type":null,"venture_tags":["freeintelligence-ai","goodalgo-network","onesqft-org","velab-stack"],"editorial_note":"Tool relevant to freeintelligence ai.","signal_type":"tool","month_tag":"2026-05","ingested_at":"2026-07-01T04:05:13.008Z"},{"tweet_id":"2044533933115629787","author":"polydao","author_name":"Mr. Buzzoni","text":"Claude Code will grill you with 40+ questions before writing a single line of code\n\n> it's called /grill-me - 3 sentences long. most impactful skill I use\n\ninstead of jumping straight to code - it walks every branch of your design tree until there's zero ambiguity\n\n> every question reveals something you hadn't thought of\n\nother skills I use daily:\n\n> /write-a-prd - idea → proper product doc\n\n> /prd-to-issues - doc → GitHub issues automatically\n\n> /tdd - tests first, forces edge case thinking before code\n\n> /improve-codebase-architecture -> full structural review of your codebase\n\nall links and full breakdown in my article  \n\nfull video from Matt Pocock 👇","created_at":"Wed Apr 15 21:50:49 +0000 2026","like_count":1498,"retweet_count":140,"reply_count":21,"resolved_url":null,"resolved_type":null,"venture_tags":["velab-stack"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-04","ingested_at":"2026-07-01T04:05:13.245Z"},{"tweet_id":"2014007123152437338","author":"zarazhangrui","author_name":"Zara Zhang","text":"Claude Code built me an insane workflow: Turn podcast transcripts into EPUB ebooks, so you can have a personalized weekly magazine!\n\nEvery week, it will\n- Fetch new videos from your specified list of YouTube channels\n- Get their transcripts, remix them into polished magazine articles\n- Deliver them into your inbox as a newsletter + EPUB file which you can read on any ebook reader\n\nPublished it as a Claude skill; link below","created_at":"Wed Jan 21 16:08:11 +0000 2026","like_count":1497,"retweet_count":120,"reply_count":73,"resolved_url":null,"resolved_type":null,"venture_tags":["velab-stack"],"editorial_note":"Educational resource for velab stack.","signal_type":"education","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:14.399Z"},{"tweet_id":"2056723475528630529","author":"0xMovez","author_name":"Movez","text":"Creator of Claude Code just dropped a 6-min workshop on new Claude feature during live session in London.\n\nBoris Cherny: “A lot of my code these days is written by \"routines\". I’m not doing the prompting - I create the routines that do the prompting.”\n\n6 minutes. Free. From a live session.\n\nWatch this now. This will change the way you vibe-code forever.","created_at":"Tue May 19 13:07:43 +0000 2026","like_count":1123,"retweet_count":98,"reply_count":44,"resolved_url":null,"resolved_type":null,"venture_tags":["velab-stack"],"editorial_note":"Market signal for velab stack.","signal_type":"trend","month_tag":"2026-05","ingested_at":"2026-07-01T04:05:12.873Z"},{"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":"2059686989323288877","author":"Sajeel_Purewal","author_name":"Sajeel Purewal 🇨🇦 🇵🇰","text":"Hardware engineers spend 80% of their time reading datasheets and 20% actually building.\n\nWe're flipping that.\n\nIntroducing https://t.co/cX95N85xfV, Claude Code but for Hardware. https://t.co/qpK3Hu5yUa","created_at":"Wed May 27 17:23:40 +0000 2026","like_count":1079,"retweet_count":109,"reply_count":30,"resolved_url":"https://blueprint.am/","resolved_type":"external","venture_tags":["chipmonk-tech","onesqft-org","velab-stack"],"editorial_note":"Market signal for chipmonk tech.","signal_type":"trend","month_tag":"2026-05","ingested_at":"2026-07-01T04:05:15.541Z"},{"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":"2007095834744144102","author":"omarsar0","author_name":"elvis","text":"This worked better than I thought. \n\nIt's a slash command in Claude Code to write detailed specs. \n\nThe AskUserQuestion tool will drill you for even the smallest detail.\n\nGreat way to enhance vibe coding results.\n\nClaude Code then creates a huge, detailed plan from it and executes it.","created_at":"Fri Jan 02 14:25:11 +0000 2026","like_count":976,"retweet_count":60,"reply_count":48,"resolved_url":null,"resolved_type":null,"venture_tags":["velab-stack"],"editorial_note":"Tool relevant to velab stack.","signal_type":"tool","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:02.154Z"},{"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":"2065735103163363427","author":"DataChaz","author_name":"Charly Wargnier","text":"MANUALLY DRAGGING BOXES FOR ARCHITECTURE DIAGRAMS IS FINALLY DEAD\n\nThere is a new open-source agent skill that turns raw codebases into cleanly routed https://t.co/f9zjBxfJLp diagrams without you placing a single coordinate.\n\nThe project, drawio-skill, runs directly inside Claude Code, Cursor, or Copilot.\n\nInstead of opening a blank canvas, you just ask your agent to map the repo.\n\nHere is what it actually does:\n→ Extracts the module structure (supports Python, JS/TS, Go, Rust)\n→ Uses Graphviz for auto-layout and routing\n→ Drops redundant edges so the graph stays readable\n→ Builds native, editable https://t.co/f9zjBxfJLp files\n\nBut the standout feature is visual self-checking.\n\nOnce it generates the diagram, the agent \"looks\" at the resulting PNG. If it sees stacked edges or clipped text, it auto-fixes the layout across up to 5 iterative rounds.\n\nIt runs from a single file. No MCP server. No background daemon.\n\nBest part?\n\nIt's 100% free and open-source.\n\nrepo link in 🧵↓","created_at":"Sat Jun 13 09:56:42 +0000 2026","like_count":959,"retweet_count":146,"reply_count":20,"resolved_url":"https://draw.io/","resolved_type":"external","venture_tags":["aiblueprints-tech","velab-stack"],"editorial_note":"Tool relevant to aiblueprints tech: could inform product or stack decisions.","signal_type":"tool","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:47.177Z"},{"tweet_id":"2009634293187002688","author":"melvynx","author_name":"Melvyn • Builder","text":"I just discovered a gem \"Gemini Design MCP,\" an MCP tool to use directly within Claude Code to enhance your design.\n\nWhile Claude Code works on the logic, it launches a background agent that runs this MCP and enhances your frontend.\n\nCheck it out here: https://t.co/hhYlWhT8vR https://t.co/A3O61VV6OW","created_at":"Fri Jan 09 14:32:07 +0000 2026","like_count":943,"retweet_count":67,"reply_count":26,"resolved_url":"https://gemini-design-mcp.com/","resolved_type":"external","venture_tags":["velab-stack"],"editorial_note":"Tool relevant to velab stack.","signal_type":"tool","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:02.258Z"},{"tweet_id":"2023828631793909855","author":"nummanali","author_name":"Numman Ali","text":"Access the 1M context Sonnet 4.6 and set the default in Claude Code\n\nUI:\n/model claude-sonnet-4-6[1m]\n\n~/.claude/settings.json:\n{\n    \"env\": {\n      \"ANTHROPIC_DEFAULT_HAIKU_MODEL\": \"claude-sonnet-4-6[1m]\",\n      \"ANTHROPIC_DEFAULT_SONNET_MODEL\": \"claude-sonnet-4-6[1m]\"\n    }\n} https://t.co/fb3l6tr3ud","created_at":"Tue Feb 17 18:35:21 +0000 2026","like_count":920,"retweet_count":46,"reply_count":40,"resolved_url":"https://twitter.com/nummanali/status/2023828631793909855/photo/1","resolved_type":"media","venture_tags":["velab-stack"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-02","ingested_at":"2026-07-01T04:05:11.425Z"},{"tweet_id":"2070071248739352619","author":"paraschopra","author_name":"Paras Chopra","text":"What software have you built for yourself (and yourself *only*) using Claude Code / Codex / etc.?","created_at":"Thu Jun 25 09:07:00 +0000 2026","like_count":836,"retweet_count":24,"reply_count":442,"resolved_url":null,"resolved_type":null,"venture_tags":["velab-stack"],"editorial_note":"General intelligence signal for the VE Lab portfolio.","signal_type":"general","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:45.796Z"},{"tweet_id":"2019085379073081651","author":"burkeholland","author_name":"Burke Holland","text":"I discovered the wildest feature of @github Copilot CLI by complete accident last night.\n\nYou can have models call each other. So you can have Opus, Codex and Gemini all working together in the same chat.🤯 https://t.co/NUP6G6EyxQ","created_at":"Wed Feb 04 16:27:21 +0000 2026","like_count":787,"retweet_count":96,"reply_count":80,"resolved_url":"https://twitter.com/burkeholland/status/2019085379073081651/video/1","resolved_type":"media","venture_tags":["velab-stack"],"editorial_note":"Tool relevant to velab stack.","signal_type":"tool","month_tag":"2026-02","ingested_at":"2026-07-01T04:05:13.321Z"},{"tweet_id":"2008038811616555394","author":"geekbb","author_name":"Geek","text":"我不知道这是什么，但它在 GitHub 上冲得太快了\n\n一个为 Claude Code 开发的技能（Skill），灵感来源于 Manus AI，通过持久化的 Markdown 文件来管理任务规划、进度追踪和知识存储。\n\n根据项目描述，Meta 在 2025 年 12 月 29 日以 20 亿美元收购了 AI 代理公司 Manus。\nManus 之所以能在 8 个月内从发布做到 1 亿美元以上营收，核心秘诀在于“上下文工程”（Context Engineering）——即把 Markdown 文件当作磁盘上的“工作记忆”。\n\nAI 在做任何重大决定前，会先读取 task_plan.md 以确保目标在注意力窗口内。每完成一个阶段，AI 会更新文件中的复选框状态。这种“文件系统即记忆”的模式，使得 AI 能够处理长达 50 次以上的工具调用而不迷失方向\n\nhttps://t.co/AuEAWAaceO","created_at":"Mon Jan 05 04:52:14 +0000 2026","like_count":767,"retweet_count":129,"reply_count":15,"resolved_url":"https://github.com/OthmanAdi/planning-with-files","resolved_type":"github","venture_tags":["velab-stack"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:04.207Z"},{"tweet_id":"2008227725665018236","author":"aiDotEngineer","author_name":"AI Engineer","text":"🆕 Claude Agent SDK [Full Workshop]  \n\nhttps://t.co/gHoN9gidM0\n\nFor our first big drop of the year, excited to bring you @trq212's full 2 hour workshop covering all of @AnthropicAI's agentic SDK (formerly known as Claude Code SDK). \n\nBy far the most popular workshop of AIE CODE! Now published online for free (sorry for AV/delay issues)... long story","created_at":"Mon Jan 05 17:22:55 +0000 2026","like_count":767,"retweet_count":103,"reply_count":24,"resolved_url":"https://www.youtube.com/watch?v=TqC1qOfiVcQ","resolved_type":"youtube","venture_tags":["velab-stack"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:04.313Z"},{"tweet_id":"2059744770574950865","author":"earthtojake","author_name":"Jake Fitzgerald","text":"first stable release for text-to-cad (0.1.0)\n\n- bambu labs + gcode skills (prompt to print)\n- 3x faster STEP builds, 5x faster viewer\n- plugins for codex, claude, gemini\n- tonnes of new viewer controls\n- contributor friendly repo (!!)\n\nabout to cross 5000 stars, 20k downloads https://t.co/Cba9AYkh3O","created_at":"Wed May 27 21:13:16 +0000 2026","like_count":751,"retweet_count":60,"reply_count":12,"resolved_url":"https://twitter.com/earthtojake/status/2059744770574950865/video/1","resolved_type":"media","venture_tags":["velab-stack"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-05","ingested_at":"2026-07-01T04:05:15.574Z"},{"tweet_id":"2070597887483138149","author":"fedeponte1","author_name":"Federico De Ponte","text":"Introducing OpenPaper: Claude Code for research papers.\n\nI typed one question. Five minutes later, it handed me a complete 8,330-word research paper with 30 citations.\n\nEvery citation is a real published paper with a working DOI, verified against 500M+ academic sources. Zero hallucinated references.\n\n18 specialized agents do the research in parallel. Open source.\n\nhttps://t.co/bqfWZDY9Z5","created_at":"Fri Jun 26 19:59:40 +0000 2026","like_count":738,"retweet_count":74,"reply_count":32,"resolved_url":"https://openpaper.dev/","resolved_type":"external","venture_tags":["velab-stack"],"editorial_note":"Tool relevant to velab stack: could inform product or stack decisions.","signal_type":"tool","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:45.702Z"},{"tweet_id":"2019133938283999335","author":"awilkinson","author_name":"Andrew Wilkinson","text":"For $5,000 worth of Claude Code credits, I vibe coded something that replaces tens of thousands of dollars of psychological evaluations. \n\nLet me explain...\n\nLast month, my girlfriend and I sat in our den with our jaws on the floor…\n\nWe were in front of my laptop, taking turns reading a report out loud, line by line.\n\nThe document read like a CIA dossier—incisively breaking down each of our repeated fights and nailing our relationship dynamics.\n\nWe had to laugh. We couldn’t believe it.\n\nA few days earlier, I’d asked ChatGPT a simple but loaded question: \n\n“What information would you need in order to become the ultimate personalized relationship coach?”\n\nIt replied with a long list of personality tests—the same ones psychologists use to evaluate mental health, personality, and relationship satisfaction.\n\nThe tests were all available online, but scattered across annoying PDFs and awkward, old-school forms.\n\nFor someone with ADHD, like me, the idea of doing them one by one was pure torture.\n\nI just wanted to pound through them as one big test.\n\nSo I asked Claude Code to build a simple app that combined them.\n\nI listed all the tests I wanted and asked it to build a web app that would.\n\nI’d done some vibe coding last year with tools like Replit and Lovable, but nothing prepared me for how good Claude Code has become.\n\nWithin a few hours, I had a beautiful web app that combined all of these tests into one.\n\nWhen I say beautiful, I mean it looked like I employed a $50,000-a-month payroll of talented designers and engineers who’d spent two months working on it.\n\nExcept I didn’t have a $50,000-a-month payroll.\n\nI’d paid Claude around $500 in AI credits — and what would normally take months had taken hours.\n\nCrazier yet, I’d just talked to it like it was a human employee.\n\nOnce a beta version was ready, we completed our tests and exported our results into ChatGPT—no names, no context—and asked:\n\n“Based on this couple’s psychological test results, tell me as much as you can about their relationship.”\n\nThat’s how we ended up in our kitchen, in shock, as ChatGPT broke down our relationship patterns with eerie precision.\n\nHow my ADHD makes me want quick resolution, while Zoe needs to talk things through.\n\nHow her high openness craves novelty, while I’m a stick-in-the-mud who craves routine.\n\nHow my avoidance causes me to pull away and shut down when I’m stressed.\n\nIt felt like a report written by a world-class therapist who’d spent dozens of multi-hour sessions carefully dissecting our dynamic and suggesting remedies.\n\nIt told us where we were most compatible, and where we’d struggle if we didn’t put in the work.\n\nIt even wrote personal deep dives on each of us, our personalities, and our individual gifts and challenges.\n\nAnd it knew all of this from 45 minutes of multiple-choice questions.\n\nI started thinking about friends who’d never been to therapy, or couldn’t afford anything like this, and how much it could help them.\n\nThat’s when I realized this was a business.\n\nSomething that would solve a valuable problem for a lot of people.\n\nSo I got to work.\n\nFor the last month, I’ve been jolting out of bed at 5:30 a.m., too excited to sleep, obsessively building this product.\n\nAnd today, I’m excited to launch Deep Personality.\n\nI think it’s one of the most comprehensive mental-health screening tools on the internet.\n\nIt’s not a replacement for professional help, but a roadmap to it.\n\nMost people stumble blindly into a random therapist or doctor’s office without knowing what type of treatment they are even trained in or its efficacy for their specific problems.\n\nDeep Personality will screen you across 30+ mental health conditions and provide you with a detailed roadmap of how to get the help you need.\n\nIn under an hour, it gives you a high-signal snapshot of your mental health across dozens of dimensions:\n\nBig Five Personality\nThe gold standard for understanding why you do what you do.\n\nAttachment Styles\nThe hidden patterns behind pushing people away, clinging too tightly, or choosing unavailable partners.\n\nAnxiety & Depression\nScreens for what you might be dismissing as “just stress.”\n\nRelationship Satisfaction\nMeasures the real health of your relationship — often surfacing problems you’ve been avoiding.\n\nSensory Processing\nWhy crowded rooms drain you — or why you need things just so to focus.\n\nNeurodivergence\nFlags potential ADHD and autism-spectrum traits that often go undiagnosed into adulthood.\n\nTrauma\nMaps early experiences shaping your triggers and stress responses.\n\nValues & Career Fit\nShows what actually motivates you, and why some work quietly drains your soul.\n\nYou can do this individually, or compare yourself to anyone in your life.\n\nThis is where it gets really interesting…\n\nHave your partner, coworker, friend, or family member take the assessment, upload their profile, and wait while the app analyzes your personalities and how they interact with one another.\n\nFor romantic relationships, it analyzes attachment compatibility, conflict styles, emotional regulation, and values alignment — telling you exactly where you’ll clash and what to do about it.\n\nFor work relationships, it focuses on communication, motivation, and how you’ll collaborate — or blow up under pressure.\n\nFor friendships, it looks at shared values, social energy, and the dynamics that help relationships thrive (or quietly fade).\n\nFor Zoe and me, having our relationship laid out with this kind of clarity — patterns we’d felt but never articulated — was deeply meaningful.\n\nOnce you complete the assessment, you get a 50+ page deep dive on your personality.\n\nIt felt like finally getting the owner’s manual for myself.\n\nYou also get a custom AI prompt pre-loaded with your psychological data.\n\nDrop it into ChatGPT, Claude, or any AI assistant — and you have a therapist who already knows your attachment style, anxiety patterns, values, trauma history, and emotional regulation tendencies.\n\nNo more spending six therapy sessions explaining who you are.\n\nThe AI already gets it.\n\nAnd if you’re in therapy, or going to start with a new therapist, you can also export a clinical PDF designed for practitioners—raw scores, thresholds, severity flags, discussion points, and citations.\n\nOr… it can help you attract your perfect romantic partner.\n\nThis one’s just fun.\n\nDeep Personality can generate dating bios based on your actual personality data — tailored to Hinge, Bumble, or Tinder — in tones like witty, sincere, adventurous, or intellectual.\n\nThe AI turns what makes you unique into something that attracts compatible people.\n\nOnce it knows you, it helps you get the help you need.\n\nBased on your results, it recommends books, podcasts, and treatment options backed by peer-reviewed research.\n\nThe full assessment covers 30+ psychological screens and 300+ questions, and it costs a fraction of a single therapy session (free for the basic analysis, $19 for the full report, $29 for a couples comparison).\n\nIt’s really crazy and I think it's going to help a lot of people.\n\nWho is this for?\n\n• High achievers who want to understand their edge\n\n• People who feel stuck and don’t know why\n\n• Curious minds who want real data\n\n• Pattern repeaters, same story — different chapter\n\n• Anyone who wants better relationships\n\nI’d love it if you’d try it and send me your thoughts!\n\n👉 Click here to check it out: https://t.co/gcox8pCY6Y","created_at":"Wed Feb 04 19:40:19 +0000 2026","like_count":732,"retweet_count":33,"reply_count":98,"resolved_url":"https://deeppersonality.app/","resolved_type":"external","venture_tags":["freeintelligence-ai","onesqft-org","dochakki-com","groww-ca","renascence-network","velab-stack"],"editorial_note":"Tool relevant to freeintelligence ai.","signal_type":"tool","month_tag":"2026-02","ingested_at":"2026-07-01T04:05:13.354Z"},{"tweet_id":"2019817083052388520","author":"geminicli","author_name":"Gemini CLI","text":"Gemini CLI *currently* has 3 modes...\n\n🟣- Build (default)\n🟡- Accepting edits (shift+tab)\n🔴- Yolo mode (ctrl+y)\n\nBuild mode keeps you in full control, accepting edits auto approves file edits/writes, yolo mode accepts edits and shell commands.\n\nWhich do you use most often? https://t.co/il7QHi3tgV","created_at":"Fri Feb 06 16:54:53 +0000 2026","like_count":707,"retweet_count":52,"reply_count":56,"resolved_url":"https://twitter.com/geminicli/status/2019817083052388520/video/1","resolved_type":"media","venture_tags":["velab-stack"],"editorial_note":"Tool relevant to velab stack.","signal_type":"tool","month_tag":"2026-02","ingested_at":"2026-07-01T04:05:01.812Z"},{"tweet_id":"2007872596541579292","author":"cocktailpeanut","author_name":"cocktail peanut","text":"Holy shit just found the secret Claude Code for web everyone missed:\n\n1. Go to Jsbin/Jsfiddle/Codepen/Stackblitz\n2. Open Claude Browser Extension\n3. Ask Claude to build, and watch as it builds, runs, and debugs the app automatically. https://t.co/KnPWx8oD49","created_at":"Sun Jan 04 17:51:46 +0000 2026","like_count":663,"retweet_count":43,"reply_count":16,"resolved_url":"https://twitter.com/cocktailpeanut/status/2007872596541579292/video/1","resolved_type":"media","venture_tags":["velab-stack"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:07.662Z"},{"tweet_id":"2065007846866161906","author":"HowToPrompt__","author_name":"How To Prompt","text":"Apple just did something nobody expected.\n\nThey turned 2 billion iPhones into local AI machines.\n\nThey open-sourced coreai-models, the entire toolkit that lets you export any HuggingFace model and run it natively on iPhone, iPad and Mac with zero cloud.\n\n→ Runs 100% on the Neural Engine\n→ No cloud. No API keys. No subscriptions.\n→ Fully offline. Your data never leaves the device.\n\nIt even ships with skills for Claude Code, Codex, and Gemini, so your coding agent already knows how to use it.\n\n100% Open Source.","created_at":"Thu Jun 11 09:46:51 +0000 2026","like_count":608,"retweet_count":101,"reply_count":31,"resolved_url":null,"resolved_type":null,"venture_tags":["freeintelligence-ai","a3r-network","velab-stack"],"editorial_note":"Tool relevant to freeintelligence ai: could inform product or stack decisions.","signal_type":"tool","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:47.422Z"},{"tweet_id":"2018466902478397757","author":"TheAhmadOsman","author_name":"Ahmad","text":"pro tip:\n\ntell claude code or any other agent to\n\ngenerate relevant pre-commit hooks for your project","created_at":"Mon Feb 02 23:29:45 +0000 2026","like_count":598,"retweet_count":15,"reply_count":16,"resolved_url":null,"resolved_type":null,"venture_tags":["velab-stack"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-02","ingested_at":"2026-07-01T04:05:03.731Z"},{"tweet_id":"2007814167319793899","author":"0xSero","author_name":"0xSero","text":"Let me make your life better.\n\n1. Go to the app storage \n2. Search Terminus \n3. Download \n4. Pay 10$ for a GLM or Minimax sub\n5. There you go, Claude code in your pocket 10$ all day everyday https://t.co/SHvGvCUrsj","created_at":"Sun Jan 04 13:59:35 +0000 2026","like_count":539,"retweet_count":20,"reply_count":40,"resolved_url":"https://twitter.com/0xSero/status/2007814167319793899/photo/1","resolved_type":"media","venture_tags":["velab-stack"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:07.629Z"},{"tweet_id":"2069941971863609810","author":"DynamicWebPaige","author_name":"👩‍💻 Paige Bailey","text":"🎣 Made this @GoogleChrome extension with @antigravity that lets you record actions in the browser, then has Gemini 3.1 Flash Lite automatically convert those tasks into Skills!\n\nThe actions in the DOM are used to supplement your video, so you get very fine-grained instructions: https://t.co/7obonDsy9a","created_at":"Thu Jun 25 00:33:18 +0000 2026","like_count":417,"retweet_count":36,"reply_count":29,"resolved_url":"https://twitter.com/DynamicWebPaige/status/2069941971863609810/video/1","resolved_type":"media","venture_tags":["velab-stack"],"editorial_note":"General intelligence signal for the VE Lab portfolio.","signal_type":"general","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:45.738Z"},{"tweet_id":"2014477513704009788","author":"WizLikeWizard","author_name":"Wiz 👨‍🚀","text":"Dear VCs hiring analysts in 2026, the year of our lord Claude Code: \n\nWhat are you even doing? (•_•)… https://t.co/3teWqnHOHl","created_at":"Thu Jan 22 23:17:21 +0000 2026","like_count":369,"retweet_count":5,"reply_count":23,"resolved_url":"https://twitter.com/WizLikeWizard/status/2014477513704009788/photo/1","resolved_type":"media","venture_tags":["velab-stack"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:10.502Z"},{"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":"2020208982175121739","author":"jacalulu","author_name":"Jaclyn Konzelmann","text":"It is still blowing my mind what is now possible with OpenClaw. 🤯 \nTotal paradigm shift: I’m no longer using software; I’m directing an agent to find, install, and operate the software for me. Here's what happened...\n\n​I woke up this morning to my 4-year-old reminding me about a project we started months ago: a remake of Mellow Yellow called \"Purple Urple.\" In her mind, she just wanted to sing her version over the real music. In my mind, I saw a tedious technical workflow.\n\n​Instead of touching a single piece of editing software, I tasked @lulubotagi (my OpenClaw agent running on a Mac Mini) with the job via Telegram. What followed was a total \"future is here\" moment:\n​1️⃣ Self-Installation: I had already found the GitHub repo for UVR (Ultimate Vocal Remover). Instead of downloading or configuring anything myself, I just texted the link. It accessed the repo, handled the installation, and set itself up on my Mac Mini while I was drinking coffee. ☕\n2️⃣ Autonomous Sourcing: I asked Lulu to find the Mellow Yellow track online, download it, and run it through the new UVR setup.\n3️⃣ Audio Engineering: It successfully stripped the vocal track to create a clean backing track.\n4️⃣ Vocal Layering: Gemini helped us rewrite the lyrics, and I had my daughter record her parts into a mic. I passed those clips to Lulu and said: \"Layer these over the music track.\"\n\n​And it worked. Perfectly.\n\n​We’ve officially moved past \"chatting\" with AI. We are in the era of agents that operate our hardware, install their own tools from GitHub, and execute end-to-end creative workflows. The friction between a child’s imagination and a finished product is hitting zero.","created_at":"Sat Feb 07 18:52:09 +0000 2026","like_count":327,"retweet_count":25,"reply_count":28,"resolved_url":null,"resolved_type":null,"venture_tags":["chipmonk-tech","subwaymusician-xyz","velab-stack"],"editorial_note":"Tool relevant to chipmonk tech.","signal_type":"tool","month_tag":"2026-02","ingested_at":"2026-07-01T04:05:05.452Z"},{"tweet_id":"2010813470644564316","author":"boringmarketer","author_name":"The Boring Marketer","text":"Claude Code for non technical work is massive","created_at":"Mon Jan 12 20:37:45 +0000 2026","like_count":280,"retweet_count":10,"reply_count":38,"resolved_url":null,"resolved_type":null,"venture_tags":["velab-stack"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:04.822Z"},{"tweet_id":"2011401425281237381","author":"nrqa__","author_name":"Nelly;","text":"if you’re trying to get better at prompt engineering, just study how the best engineers write the prompts\n\nhere’s the Gemini 3.0 system prompt: https://t.co/ajwf0AdOAl","created_at":"Wed Jan 14 11:34:04 +0000 2026","like_count":264,"retweet_count":40,"reply_count":11,"resolved_url":"https://twitter.com/nrqa__/status/2011401425281237381/photo/1","resolved_type":"media","venture_tags":["velab-stack"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:13.665Z"},{"tweet_id":"2018019123666502122","author":"geminicli","author_name":"Gemini CLI","text":"Try out the Gemini CLI Security extension on your own repos or projects 🔐\nhttps://t.co/xznmwI7UVH","created_at":"Sun Feb 01 17:50:26 +0000 2026","like_count":205,"retweet_count":10,"reply_count":2,"resolved_url":"https://github.com/gemini-cli-extensions/security","resolved_type":"github","venture_tags":["velab-stack"],"editorial_note":"Tool relevant to velab stack.","signal_type":"tool","month_tag":"2026-02","ingested_at":"2026-07-01T04:05:07.444Z"},{"tweet_id":"2010154989625237602","author":"TheAhmadOsman","author_name":"Ahmad","text":"PRO TIP\n\nFor OpenCode &amp; other agents\nCodex, Claude Code, etc\n\nThere’s a crucial recipe:\n\n1. Modularity\n2. Domain-Driven Design\n3. Painfully explicit specs\n4. Excessive documentation\n\nIf the docs don’t clearly answer:\n- Where\n- What\n- How\n- Why\nThe agent will guess\nand make a mess","created_at":"Sun Jan 11 01:01:11 +0000 2026","like_count":203,"retweet_count":11,"reply_count":21,"resolved_url":null,"resolved_type":null,"venture_tags":["dochakki-com","chefaid-nyc","velab-stack"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:07.694Z"},{"tweet_id":"2067304106679746646","author":"ethanzhou","author_name":"Ethan Zhou","text":"We built a CLI that scans your iOS app against every App Store guideline before you submit.\n\nand now we gave it a cloud device so it can validate full user flows.\n\nIt checks for:\n- Payment & IAP compliance\n- Privacy manifests & data usage declarations\n- Required sign-in & account management flows\n- App completeness & metadata quality\n- Binary & privacy-manifest validation\n\nMade it a Claude Code and Codex skill so it fixes every issue for you. Scan, fix, repeat until passing","created_at":"Wed Jun 17 17:51:22 +0000 2026","like_count":200,"retweet_count":13,"reply_count":9,"resolved_url":null,"resolved_type":null,"venture_tags":["velab-stack"],"editorial_note":"Tool relevant to velab stack: could inform product or stack decisions.","signal_type":"tool","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:46.732Z"},{"tweet_id":"2071016979670946079","author":"RoundtableSpace","author_name":"0xMarioNawfal","text":"Someone is vibe coding a live 3D news globe with Claude Code that pins real world events on a spinning Earth as they happen.\n\nInstead of doomscrolling a feed, you open a tab with a 3D Earth and watch the world light up in real time. Breaking news, conflicts, disasters and humanitarian alerts get pinned to the exact spot on the map, alongside live flights and upcoming rocket launches.\n\nClick any event and it pulls up a short brief with its actual sources, so you can see where it came from. People are already saying it's the only way they want to read news now, the kind of thing you keep open in a tab and just glance at all day.","created_at":"Sat Jun 27 23:45:00 +0000 2026","like_count":182,"retweet_count":21,"reply_count":24,"resolved_url":null,"resolved_type":null,"venture_tags":["eventbuoy-com","fishboneny-com","renascene-nyc","instasoiree-com","velab-stack"],"editorial_note":"Tool relevant to eventbuoy com: could inform product or stack decisions.","signal_type":"tool","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:45.625Z"},{"tweet_id":"2039727392915349902","author":"joshalbrecht","author_name":"Josh Albrecht","text":"mngr: programmatically manage 100s of claude code sessions in parallel 🤖\n\nopen source today.\n\nlets you do things like:\n— for each open GitHub issue, create a PR\n— for each flaky test in the past week, fix it\n— for each rule in style guide, scan codebase & fix all instances\n\nruns any agent: @claudeai, codex, @opencode, etc.\n\nruns on any compute: locally, @modal, @Docker, or anything you can ssh into.","created_at":"Thu Apr 02 15:31:21 +0000 2026","like_count":171,"retweet_count":37,"reply_count":28,"resolved_url":null,"resolved_type":null,"venture_tags":["goodalgo-network","velab-org","velab-stack"],"editorial_note":"Tool relevant to goodalgo network.","signal_type":"tool","month_tag":"2026-04","ingested_at":"2026-07-01T04:05:08.273Z"},{"tweet_id":"2059932454014853439","author":"_vmlops","author_name":"Vaishnavi","text":"MICROSOFT DROPPED A WEB AGENT THAT HITS 86.7% ON BENCHMARKS WITH ~1.5K LINES OF CODE\n\nMost web agents fail on long tasks because they're locked into one browser action at a time\n\nwebwright flips the model:\n▫️ agent gets a terminal, not a browser session\n▫️ writes playwright scripts to control the browser\n▫️ code becomes the persistent artifact, not the session\n▫️ spawns fresh browser sessions when needed\n▫️ handles loops, dynamic pages, forms like a dev would\n\nno multi-agent system. no graph engine. no hidden orchestration\njust a terminal + browser + model readable end-to-end\n\nthe numbers:\n▫️ 86.7% on online-mind2web (300 tasks) with gpt-5.4\n▫️ 60.1% on odysseys long-horizon tasks +15.6 pts over prior sota\n▫️ even qwen-3.5-9b completes tasks well when given 5+ reusable tools\n\nalso ships as a claude code skill\nyou run it with a slash command and it builds reusable cli tools for your web tasks\n\nthe core agent loop is a single ~450-line file zero black boxes\n\ngithub → \nhttps://t.co/dMZCjlPRG9","created_at":"Thu May 28 09:39:03 +0000 2026","like_count":108,"retweet_count":13,"reply_count":4,"resolved_url":"https://github.com/microsoft/Webwright","resolved_type":"github","venture_tags":["freeintelligence-ai","velab-stack"],"editorial_note":"Tool relevant to freeintelligence ai.","signal_type":"tool","month_tag":"2026-05","ingested_at":"2026-07-01T04:05:11.018Z"},{"tweet_id":"2070997788146450449","author":"0xCodila","author_name":"codila","text":"Claude Code Loop Engineer:\n\n\"the more you want to overoptimize - don't do that.\n\njust a simple loop and get out of the way and just delete scaffolding\"\n\nthe entire Claude Code architecture is 4 lines of code.\nwhile there are tool calls - run the tool, give results to the model, do it again - that's it\n\n\"give it tools and get out of the way. less scaffolding, more model. every time I tried to overengineer - it got worse \"\n\nwe rebuilt our entire engineering org around Claude Code with one rule: \n\nif you can finish it in under an hour with Claude - just do it. don't plan it. don't schedule it. just do it\n\n20-min - bookmark and watch!","created_at":"Sat Jun 27 22:28:44 +0000 2026","like_count":79,"retweet_count":7,"reply_count":7,"resolved_url":null,"resolved_type":null,"venture_tags":["velab-stack"],"editorial_note":"Tool relevant to velab stack: could inform product or stack decisions.","signal_type":"tool","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:45.484Z"},{"tweet_id":"2012178057138676015","author":"codyschneider","author_name":"Cody Schneider","text":"how to find hundreds of podcast guest application forms\n\nsearch\n\n\"{keyword}\" inurl:podcast \"guest application\" -inurl:template -intitle:template\n\nextract results with chrome extension\n\nhave ai write application\n\ncopy paste\n\nbuild agent to automate form fills?\n\ntake all the links cold email them","created_at":"Fri Jan 16 15:00:07 +0000 2026","like_count":28,"retweet_count":2,"reply_count":3,"resolved_url":null,"resolved_type":null,"venture_tags":["velab-stack"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:02.507Z"},{"tweet_id":"2031888036452245784","author":"Preda2005","author_name":"Marcio Lima 利真 マルシオ 💎","text":"@lennyviner1 @GeminiApp I shared the full step-by-step in this link.\nIf you have any questions, just ask. ⤵️ https://t.co/Of5nC2frpK","created_at":"Thu Mar 12 00:20:33 +0000 2026","like_count":6,"retweet_count":0,"reply_count":0,"resolved_url":"https://x.com/Preda2005/status/2028456357322768804?s=20","resolved_type":"x-internal","venture_tags":["velab-stack"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-03","ingested_at":"2026-07-01T04:05:10.614Z"}]}