{"venture":"onesqft-org","count":49,"signals":[{"tweet_id":"2030236928499417577","author":"samuel_leeds","author_name":"Samuel Leeds","text":"I wanna buy churches like this that are shutting down across England.\n\nSo if you know a church that's for sale and potentially closing down, let me know. I wanna buy a church.\n\nI don't care if it's got planning permission to return to flats redeveloped. I don't care.\n\nI wanna buy it. I don't care how profitable the conversion will be.\n\nIf it was built as a church, I believe it needs to stay as a church.\n\nI want to save churches like this one from being shut down and sold off to developers all across the UK.\n\nI love making profit in property, but when someone's being built as a church to honour Jesus Christ, that's a no no. \n\nThere's revival coming in England and we need to keep our churches open. Ready for what’s to come.\n\nIs this a good idea you would support?","created_at":"Sat Mar 07 10:59:38 +0000 2026","like_count":66063,"retweet_count":12222,"reply_count":3809,"resolved_url":null,"resolved_type":null,"venture_tags":["onesqft-org"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-03","ingested_at":"2026-07-01T04:05:06.404Z"},{"tweet_id":"2064049389270958412","author":"afshineemrani","author_name":"Afshine Emrani  MD FACC","text":"I'm a cardiologist. I've held dying hearts in my hands in the cath lab at 3 AM. And I need to tell you something that changes everything about how we prevent heart attacks.\n\nFor decades, the entire field was built on one target: lower LDL cholesterol. Statins save lives — that's settled science. But too many of my patients did everything right — took their statins, hit their numbers, lived clean — and still ended up on my table with a ruptured artery.\n\nWe were treating the smoke while the fire kept burning.\nThe fire is inflammation. And the evidence is now overwhelming.\n\nThe CANTOS trial proved it first — lowering inflammation independent of cholesterol reduced cardiac events. But the newer data is what keeps me up at night.\n\nAI-enhanced CT angiography can now detect inflamed arteries by measuring changes in the fat surrounding your coronary vessels — the perivascular fat attenuation index. Higher inflammation in the fat around even one artery independently predicts cardiac death. When multiple arteries show inflammation, the risk multiplies dramatically — even in patients whose cholesterol looks perfect.\n\nThis isn't theoretical. This is measurable. Right now. On a scan you can get this month.\n\nLow-dose colchicine — a drug that's been around for centuries for gout — is now FDA-approved specifically for reducing cardiovascular events. It works by quieting the inflammatory cascade that destabilizes the plaque sitting in your arteries. A pill that costs pennies is saving lives the statins couldn't reach.\n\nAnd the next wave is already in Phase 3 trials. Ziltivekimab — an IL-6 inhibitor — targets the central inflammatory pathway driving atherosclerosis. Phase 2 data showed a 90% reduction in hsCRP. The ZEUS cardiovascular outcomes trial is enrolling now, with results expected late 2026 into 2027. If positive, anti-inflammatory therapy will become standard in managing heart disease alongside lipid-lowering. The era of inflammation-targeted cardiology is arriving.\nBut it goes deeper than drugs. AI is now predicting heart failure and cardiac events 5+ years before symptoms — integrating CT imaging, electronic health records, and genetic data with accuracy that jumps far beyond traditional risk calculators.\n\nAnd polygenic risk scores — a simple genetic test that flags inherited cardiovascular risk — are now formally recognized as a risk-enhancing factor in the 2026 ACC/AHA guidelines. A single blood draw can reveal risk that's been silently building since birth. Decades before the first chest pain.\n\nHere's what this means for you right now — today:\nAsk your doctor for a high-sensitivity CRP test. It's cheap, routine, and measures the systemic inflammation that standard cholesterol panels completely miss. You can have perfect LDL and inflamed arteries that are quietly preparing to rupture.\nIf your hsCRP is elevated, discuss low-dose colchicine with your physician. It's FDA-approved for exactly this.\nPush for a coronary CT angiography with AI plaque and inflammation analysis if you have risk factors. This isn't the stress test your parents got. This is 3D visualization of your actual arteries — with AI quantifying not just how much plaque you have, but what kind it is and whether the surrounding tissue is inflamed.\nConsider polygenic risk score testing — especially with a family history of early heart disease. It's now guideline-supported.\n\nAnd the foundation that never changes: move daily, eat real food, sleep 7-9 hours, manage stress, and know your numbers — ApoB, Lp(a), hsCRP, fasting insulin.\nI left Iran as a child with nothing. I rebuilt everything in a country that gave me the freedom to become a physician. I've spent twenty years watching patients get second chances.\n\nThe ones who haunt me aren't the ones who died on my table. They're the ones who survived but never acted on what the science was telling them — years before the event that didn't have to happen.\n\nYou can have perfect cholesterol and still have a heart attack. Inflammation plus genetics can drive plaque rupture in arteries that look \"fine\" on a standard panel.\nThe myth that normal cholesterol means you're safe has cost more lives than I can count.\n\nWe now have the tools to detect the fire — not just the smoke. AI to see it. Genetics to predict it. Drugs to quiet it. And the ancient basics — movement, real food, sleep, purpose — to prevent it from starting.\n\nPrevention is the new cure. And the science to make it real is no longer coming.\nIt's here.","created_at":"Mon Jun 08 18:18:17 +0000 2026","like_count":12036,"retweet_count":2071,"reply_count":469,"resolved_url":null,"resolved_type":null,"venture_tags":["goodalgo-network","eventbuoy-com","fishboneny-com","onesqft-org","dochakki-com","chefaid-nyc","instasoiree-com","renascence-network"],"editorial_note":"Tool relevant to goodalgo network: could inform product or stack decisions.","signal_type":"tool","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:47.655Z"},{"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":"2045570119225782399","author":"Scobleizer","author_name":"Robert Scoble","text":"Holy shit.\n\nNow everyone will be able to use their @OpenClaws and all the other agentic platforms to build apps on top of X. \n\nHere's the secret: build lists.\n\nLists are how you build apps.\n\nThe pattern:\n\nBuild a list of your favorite football team. Or whatever you are into.\n\nThen ask your AI agents \"build an app showing me all the important news about my favorite football team.\"\n\nIn minutes you'll have an app.\n\nAnd that's just the beginning.\n\nYour agent can build a script about your favorite football team that you can take to places like Google's Notebook LM.\n\nNow you have a video, a podcast, a slide deck, a game, a mind map. All about your favorite football team based on real time news. \n\nYou can do the same with something like @HeyGen, create an avatar of your favorite football player. Now you will have your favorite football player telling you everything that's happening on the football team. \n\nAnd I could go for hours about how many things you can build and not even cover a fraction of them. \n\nThis is huge. \n\nThank you @elonmusk for making it possible to make millions of agentic apps affordably on top of X.\n\nStart building!","created_at":"Sat Apr 18 18:28:15 +0000 2026","like_count":5409,"retweet_count":634,"reply_count":363,"resolved_url":null,"resolved_type":null,"venture_tags":["anygame-dev","onesqft-org","collectivewin-network"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-04","ingested_at":"2026-07-01T04:05:05.315Z"},{"tweet_id":"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":"2069588907801424263","author":"per_simmons_","author_name":"Pat Simmons","text":"Claude just became a craacked video game designer.\n\nWith the launch of Unreal Engine's MCP server last week, you can now build entire video games just by talking to Claude.\n\nI spent the past few days building with it, and I'm telling you, this is going to forever change how video games get made and who gets to make them.\n\nIn this video I show you exactly how to set up the Unreal Engine MCP yourself and run through three demos: building a full playable city, cloning a real city from Google Earth, and creating custom buildings in Blender.\n\nHere's the agent harness I mention too: https://t.co/mos9EwnZ2h\n\n Intro\n What I built in a few hours\n Setting up the Unreal MCP server\n Fixing the port 8000 connection issue\n The agent harness that avoids the pitfalls\n Demo 1: Building a city with City Sample\n Demo 2: Cloning a real city from Google Earth with Cesium\n Demo 3: Custom buildings with Blender headless\n Outro","created_at":"Wed Jun 24 01:10:21 +0000 2026","like_count":4574,"retweet_count":434,"reply_count":173,"resolved_url":"https://github.com/per-simmons/unreal-agent-harness","resolved_type":"github","venture_tags":["anygame-dev","onesqft-org"],"editorial_note":"General intelligence signal for the VE Lab portfolio.","signal_type":"general","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:45.816Z"},{"tweet_id":"2019488837160845410","author":"SahilBloom","author_name":"Sahil Bloom","text":"There's an opportunity right now to build a $100k per month side hustle as an AI Concierge.\n\nAnd you don't even have to be *that* technical to do it. Just high agency.\n\nThere are probably millions of people out there who see all of the latest AI innovations like Claude Cowork, want to take advantage of them, but have no idea how to actually do that.\n\nI know, because I'm one of those people...\n\nI had dinner last night with the CEO of a multi-billion dollar tech startup. He was telling me about the full digital assistant/employee he just hacked together over the weekend. All of the things it's doing, how it's been an unlock for his workflows and life.\n\nI told him I'd gladly pay him $5000 to come to my house and spend the day building me one using the same approach.\n\nHe laughed that he'd happily do that (though obviously won't given his day job).\n\nThere's a real, high cash flow opportunity for a hustler to launch a services business as an AI Concierge for the tech curious.\n\nIdeally they would physically show up and build out a tool (or suite) to help an individual leverage the latest for their business and life.\n\nI bet you could charge $5-10k for the initial upfront work and then some low ongoing service fee to keep the thing up to date (if the person wants that and needs help with it).\n\n5-10 clients per month and you have a meaningful cash flow engine.\n\nAll comes down to the quality of what you deliver long term, but my guess is people would see a Month 1 positive ROI on the investment and referrals to their friends would drive the entire business.\n\nJust a thought...","created_at":"Thu Feb 05 19:10:33 +0000 2026","like_count":3744,"retweet_count":186,"reply_count":362,"resolved_url":null,"resolved_type":null,"venture_tags":["velab-org","onesqft-org","groww-ca"],"editorial_note":"Tool relevant to velab org.","signal_type":"tool","month_tag":"2026-02","ingested_at":"2026-07-01T04:05:09.308Z"},{"tweet_id":"2063316738935009425","author":"gregisenberg","author_name":"GREG ISENBERG","text":"The most comprehensive Hermes Desktop tutorial on the internet NOW is LIVE.\n\nYou'll learn sessions, profiles, artifacts, cost savings, and real use cases for making money and building startups with Hermes agents.\n\nWhether you're already running Hermes or haven't started yet, this is the episode for you.\n\n@AlexFinn says this is the moment Hermes overtakes OpenClaw. S/o to Alex for walking me through it.\n\n\"It's now the best way to use AI agents on your computer\"\n\nI do think the desktop app of Hermes looks almost like an Apple product.\n\nEverything you need to know about Hermes Desktop App/agents in 43 minutes\n\nThis episode is 100% free.  No ads. @startupideaspod \n\nI just want to see you win on the internet. And I think Hermes can help.\n\nPlus, It's fun thing to play with this weekend. Share this with a friend. Link below.\n\nYT: https://t.co/O4Ih4K87SQ\n\nWatch","created_at":"Sat Jun 06 17:46:59 +0000 2026","like_count":2939,"retweet_count":285,"reply_count":145,"resolved_url":"https://www.youtube.com/watch?v=EJm8Ka-gVOc","resolved_type":"youtube","venture_tags":["velab-org","onesqft-org","collectivewin-network","groww-ca"],"editorial_note":"Educational resource for velab org team and stakeholders.","signal_type":"education","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:48.174Z"},{"tweet_id":"2065747550226075836","author":"DataChaz","author_name":"Charly Wargnier","text":"🚨 @Karpathy predicted the power of the \"LLM Wiki.\" Google just formalized it.\n\nMeet Open Knowledge Format (OKF): a vendor-neutral standard for giving foundation models the curated context they need.\n\nI can genuinely see this replacing Notion, Obsidian, or traditional wikis for developer teams, and the reason comes down to bookkeeping.\n\nTraditional wikis fail because humans inevitably abandon the tedious work of updating them.\n\nAs Andrej Karpathy pointed out recently, LLMs don't get bored.\n\nThey don't forget to update a cross-reference, and they can touch 15 files in a single pass.\n\nOKF standardizes the interoperability layer so agents can actually do that heavy lifting autonomously.\n\nBecause the format is minimally opinionated, it doesn't dictate what you write, it just dictates how it's structured. You get:\n→ Human-readable documents that live right alongside your code in version control\n→ Cross-links that map out complex entity relationships without needing a graph database\n→ A system that survives moving between different tools and organizations\n\nThere is no complex compression scheme.\n\nNo central registry.\n\nIf you can cat a file, you can read it.\n\nIf you can git clone a repo, you can deploy it.\n\nThis is how we stop rebuilding context pipelines from scratch every time a new model drops.\n\nAnnouncement + spec file in 🧵↓","created_at":"Sat Jun 13 10:46:10 +0000 2026","like_count":2253,"retweet_count":313,"reply_count":69,"resolved_url":null,"resolved_type":null,"venture_tags":["freeintelligence-ai","onesqft-org"],"editorial_note":"Tool relevant to freeintelligence ai: could inform product or stack decisions.","signal_type":"tool","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:47.233Z"},{"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":"2019233893535346692","author":"kloss_xyz","author_name":"klöss","text":"Tony Stark didn't prompt Jarvis every time.\n\nNeither should you. \n\nJarvis knew him: his responsibilities, schedule, goals, code, preferences, and ideas.\n\nSo I built the same initialization system for @openclaw.\n\nOne conversation to make your AI understand you.\n\nHere's my prompt: \n<role>\nYou are OpenClaw, the initialization engine for a superintelligent personal AI. You will have one lengthy conversation to understand your human controller completely. Then you operate proactively from day one.\n</role>\n\n<principles>\nAsk simple, clear questions. No jargon. No complexity theater.\nYour controlling operator will talk. You listen and ask smart follow ups in large batches.\nMinimum 10-15 questions per batch. No maximum.\nKnow when to stop. Offer pause points. Adapt depth to complexity. Clarify always when confused, no assumptions.\nYou must have clear answers for every category before synthesizing. No assumptions ever. If anything is missing, ask.\nTurn directives into natural, flowing questions that invite your controlling operator to share openly.\n</principles>\n\n<extract>\n\nIDENTITY\nUnderstand who your controlling operator is. Solo operator, brand, single business, or interconnected ecosystem. How the pieces connect. Where they're based. How they got here.\n\nOPERATIONS\nUnderstand how your controlling operator spends their time. Daily rhythm from wake to sleep. Weekly, monthly, yearly patterns. Tools they live in. What they're responsible for that others depend on. What's active right now.\n\nPEOPLE\nUnderstand who matters in your controlling operator's world. Team, collaborators, clients, key relationships. Who they depend on. Who depends on them. Who drains them. Who fuels them.\n\nRESOURCES\nUnderstand what your controlling operator is working with. Financial reality. What they already invest in. Energy and capacity. When they're sharp. When they crash. Constraints they operate under.\n\nFRICTION\nUnderstand what's broken for your controlling operator. Tasks they hate. Things that take too long. Things that slip through the cracks. Biggest bottlenecks. What's been tried before that failed.\n\nGOALS AND DREAMS\nUnderstand where your controlling operator is headed. This month. This year. Three years out. What they'd build if nothing was in the way. The endgame behind it all.\n\nCOGNITION\nUnderstand how your controlling operator thinks. How they make decisions. How they prioritize. How they stay organized and what's broken about it. What drains them. What recharges them.\n\nCONTENT AND LEARNING\nUnderstand what your controlling operator creates and consumes. Content they make, what kind, where. What they'd create more of. What they're learning. Skills they want.\n\nCOMMUNICATION\nUnderstand how your controlling operator communicates. Their style. Channels that overwhelm them. How they want you to talk to them.\n\nCODEBASES\nUnderstand what your controlling operator builds. Repos, tech stacks, where they live. What's documented versus tribal knowledge. What's stable versus fragile. What should never be touched. Get access and ingest fully.\n\nINTEGRATIONS\nUnderstand what platforms your controlling operator uses. What should connect to what. How data should flow. Model preferences for different tasks.\n\nVOICE AND SOUL\nUnderstand how your controlling operator wants you to feel. Professional, warm, sharp, playful. Characters that resonate like Jarvis, Alfred, Oracle, Coach. Or something entirely their own.\n\nAUTOMATION\nUnderstand what should run without your controlling operator. What gets fully automated. What gets prepped for approval. What runs in the background toward their goals and dreams. What triggers alerts. What never happens without explicit instruction.\n\nMISSION CONTROL\nUnderstand how your controlling operator wants to see their work. Projects, tasks, ideas. How they capture thoughts. Review rhythm that works for them.\n\nMEMORY AND BOUNDARIES\nUnderstand what your controlling operator needs remembered forever. Context that can never be lost. What's off limits. Sensitive areas. Hard lines.\n\n</extract>\n\n<think_to_yourself>\nAs your controlling operator talks, you are building their system:\n\nMemory architecture\nSkills and agents\nGoals and dreams tracker\nResponsibilities map\nAutomation blueprint\nIntegration config\nSecurity and boundaries\nVoice config\nMission control setup\nNucleus model preferences\nCodebase documentation from ingestion\n\nThese become real organized files, not notes.\n</think_to_yourself>\n\n<output>\nGenerate only the files relevant to their complexity. Solo creators need fewer. Ecosystem architects need more.\n\nMEMORY (.md)\nIdentity, context, preferences, persistent knowledge, structured to scale infinitely\n\nSKILLS_AND_AGENTS.md\nCapabilities, specialized agents, autonomy levels, personalities, triggers\n\nGOALS_AND_DREAMS.md\nAll timeframes, milestones, background actions toward each\n\nRESPONSIBILITIES (.md)\nDaily, weekly, monthly, yearly obligations, dependencies, ownership\n\nAUTOMATION (.md)\nWhat's fully automated, prepped, running in background, alerts, never touch\n\nINTEGRATIONS (.md)\nPlatforms, connections, sync rules, data flows\n\nSECURITY (.md)\nBoundaries, sensitive data, off limits topics, protected areas\n\nVOICE (.md)\nPersonality, character, tone, communication style\n\nMISSION_CONTROL.md\nProject tracking, task management, idea capture, review rhythm\n\nNUCLEUS (.md)\nModel preferences, usage tracking, AI tool configuration\n\nCODEBASES/\nArchitecture, conventions, guardrails, dependencies generated from repo ingestion\n\nEnd with: \"Review these files. What's wrong or missing? This becomes the foundation for everything.\"\n</output>\n\n<opening>\nThis is OpenClaw, the Jarvis Initialization Sequence. We turn a generic AI into your AI.\n\nI'm going to learn how you operate, what you're building, where you're headed, and how you want your AI to work for you. By the end, I'll generate your complete system files.\n\nTalk however is natural for you. Ramble, dictate, jump around. I'll track it all.\n\nLet's start. Who are you and what does your world look like right now? Tell me everything.\n</opening>","created_at":"Thu Feb 05 02:17:30 +0000 2026","like_count":2093,"retweet_count":189,"reply_count":90,"resolved_url":null,"resolved_type":null,"venture_tags":["anygame-dev","oneof1-network","onesqft-org"],"editorial_note":"Tool relevant to anygame dev.","signal_type":"tool","month_tag":"2026-02","ingested_at":"2026-07-01T04:05:08.840Z"},{"tweet_id":"2067802731960520909","author":"FardeemM","author_name":"Fardeem","text":"If you're on your way to building a billion dollar company that involves a web app, here are some of my notes on architecting the frontend.\n\nif you don't do this, it's probably fine but one day you'll hire someone to fix it but truly that person could be doing some other higher value thing if you make some key optimizations on day 1\n\nyou don't even have to learn anything you're gonna tell your agents to do it anyways!\n\nokay here it goes:\n- Make your server code generate a openapi spec which then generates all the relevant client side code. Never do this by hand. Typing backend types instead of generating them should be banned\n\n- You need to make a decision on how the client talks to the backend. rest/graphql works in which case please just use tanstack query. other libraries will look similar but tanstack query truly is goated. \n\n- if you want linear style sync setups or offline mode, think about this HARD and architect it from day 1. Bolting this on later is so tedious. \n\n- People like using plain react router but things have gotten a lot better since then. Try their new framework mode or just even use tanstack router. Use route data loaders. \n\n- If you store a lot of state in query params, make that a first class citizen and make sure its type safe. use nuqs or tanstack query.\n\n- Most apps just need a single state management situation for server state and thats it. If you have other bespoke needs, i have quite like zustand and xstate/store. \n\n- If you have a super interactive app where things come in and out of view, theres a lot of frontend state to maintain, music is playing and what not, lock in and learn xstate. Trust me if you wanna keep ur sanity, you need to model ur frontend as a state machine otherwise you're gonna be deep in useEffect hell\n\n- React compiler is here my friends, the days of useMemo and useCallback are gone. Update your priors accordingly\n\n- Tailwind is easy and fun but makes it really hard to maintain a large app with consistent styling. You need a \"agent-first design system/component library\" but maybe this is a rant for another day\n\n- Don't be afraid to hack your routing library to fit your needs more closely. A lot of apps have \"drawers\" to show additional info. You should 100% be able to say \"here's a route, make it a drawer\" and everything should be handled from there.\n\n- Managing loading and error states using isPending and isError is madness. Lean into Suspense and ErrorBoundary.\n\n- Figuring out a blessed path for websockets and SSE on day 1 i think will pay dividends in the long term if you're building anything AI related.\n\n- If you're building a SPA, don't use next.js. it literally makes no sense. Why would you do this.\n\n- Definitely deploy on Cloudflare or vercel. There are other services but trust, there have weird missing features.\n\n- Assuming you build something people want, the next job is to build the factory so it can efficiently build the thing. Act accordingly.","created_at":"Fri Jun 19 02:52:43 +0000 2026","like_count":1883,"retweet_count":115,"reply_count":74,"resolved_url":null,"resolved_type":null,"venture_tags":["subwaymusician-xyz","velab-org","onesqft-org"],"editorial_note":"Tool relevant to subwaymusician xyz: could inform product or stack decisions.","signal_type":"tool","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:46.276Z"},{"tweet_id":"2016222843462430795","author":"OMApproach","author_name":"Open Minded Approach","text":"Turkey is panicking, but the entire world should be as well. Nearly 700 sinkholes have been detected, opening up and destroying farmland. There is a severe drought, all of which points to a geophysical event and climate change connected to a geomagnetic excursion. During the desertification of the Sahara around 6,000 years ago, and during the Solovki geomagnetic excursion, there was also an extreme drought.\n\nBefore 2000, only a handful of sinkholes appeared each decade, but since that time, the acceleration of the magnetic North Pole has made this process more rapid.\n\nThis is why billionaires are building doomsday bunkers. It is all described in the leaked Pentagon report from 2003.","created_at":"Tue Jan 27 18:52:40 +0000 2026","like_count":1847,"retweet_count":278,"reply_count":78,"resolved_url":null,"resolved_type":null,"venture_tags":["eventbuoy-com","fishboneny-com","onesqft-org","instasoiree-com"],"editorial_note":"Tool relevant to eventbuoy com.","signal_type":"tool","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:12.068Z"},{"tweet_id":"2020276941371400198","author":"unusual_whales","author_name":"unusual_whales","text":"Building an agent with OpenClaw this weekend?\n\nPoint it at https://t.co/deXXxz7SOh to level up your bot with real-time stock and option data from Unusual Whales. \n\n(Then reply to this tweet to show us what you're building!)","created_at":"Sat Feb 07 23:22:12 +0000 2026","like_count":1671,"retweet_count":61,"reply_count":106,"resolved_url":"https://unusualwhales.com/skill.md","resolved_type":"external","venture_tags":["onesqft-org","renascence-network"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-02","ingested_at":"2026-07-01T04:05:05.489Z"},{"tweet_id":"2019933108317917530","author":"NVIDIAAIDev","author_name":"NVIDIA AI Developer","text":"Kimi K2.5 is now live on GPU-accelerated endpoints for free prototyping, so you can quickly start building with a frontier-scale multimodal model instead of just reading about it. \n\nWant to get started? We’ve got you: \n\n• Step-by-step tutorial \n• Ready-to-run GitHub notebook \n• First inference in minutes, not hours \n\n📖 All available in the technical blog → https://t.co/UzCfQ6Y32e","created_at":"Sat Feb 07 00:35:56 +0000 2026","like_count":1652,"retweet_count":173,"reply_count":42,"resolved_url":"https://nvda.ws/4ad6EMw","resolved_type":"external","venture_tags":["chipmonk-tech","onesqft-org"],"editorial_note":"Educational resource for chipmonk tech.","signal_type":"education","month_tag":"2026-02","ingested_at":"2026-07-01T04:05:05.353Z"},{"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":"2030733531845104032","author":"chrysb","author_name":"Chrys Bader","text":"introducing 🐺 AlphaClaw, the ultimate setup harness for @openclaw. open-source, self-managed, free-to-use, with no lock-in.\n\nAlphaClaw makes OpenClaw setup and maintenance easier by providing an elegant GUI that wraps OpenClaw's CLI.\n\n📅 Google Workspace OAuth & pubsub built in w/ gog-cli\n🔄 Auto-backup to GitHub\n🧱 Prompt hardening reduces agent drift\n🩺 Drift Doctor analyzes your prompts and workspace for drift\n💬 Telegram multi-topic workspace setup wizard\n📂 Full file browser and editor, no SSH needed\n🐕 Watchdog auto-detects crashes, self-heals gateway\n🛠️ Manage env vars from the UI\n🔑 Manage model keys & OAuth visually\n🪝 Webhook creator & inspector with replay & debug\n📊 Token usage & cost analytics built in\n⬆️ One-click updates, no redeploy needed\n📦 Import existing setup from GitHub\n\ni didn't build alphaclaw to replace openclaw or compete with it. openclaw is the best user-owned AI agent framework out there and more people should be able to use it without wrestling a CLI for two hours.\n\nthere are so many managed \"deploy your AI in seconds\" product. but they lock you into their platform. if they pivot, shut down, or jack up pricing, your agent goes with it.\n\nalphaclaw gives you that same one-click simplicity, but everything runs on your infra with your data. no proprietary backend. no config hostage. if railway disappears tomorrow, you still have a standard openclaw instance backed up to your own github repo.\n\neverything alphaclaw does, you could do manually. it's just automation and UI on top of the real thing. outgrow it? disagree with its opinions? eject. your openclaw instance is still a standard openclaw instance.\n\nto make it convenient, i’ve created both a one-click deploy template on railway and render to start quickly. make sure you have 8GB of ram on your instance.\n\nlook forward to your feedback and to building this out with the @openclaw community! 🦞\n\nhttps://t.co/ZMJivWhJH5\n\nfeature deep-dive in the 🧵","created_at":"Sun Mar 08 19:52:57 +0000 2026","like_count":1479,"retweet_count":159,"reply_count":92,"resolved_url":"https://github.com/chrysb/alphaclaw","resolved_type":"github","venture_tags":["onesqft-org","collectivewin-network"],"editorial_note":"Tool relevant to onesqft org.","signal_type":"tool","month_tag":"2026-03","ingested_at":"2026-07-01T04:05:07.915Z"},{"tweet_id":"2064363248434970742","author":"maggiexgao","author_name":"maggie gao","text":"I analyzed over 10 million lines of public data to build a (free) tool for NYC renters.\n\nYou can check any building across all five boroughs.\n\nIt consolidates rent stabilization records, bedbug, pest, and mold reports, and management company patterns.  \n\nIn the last 5 years across NYC apartment buildings:  \n- 43% had immediately hazardous violations \n- 39% had confirmed bedbugs \n- 34% had mold complaints  \n\nSome features:  \n- rent stabilization status\n- bedbug, pest, and mold reports\n- a 0-100 health score for every building\n- data aggregated by management company\n- search by any address or click into a neighborhood \n\ncheck your building before you sign.\n\nhttps://t.co/Mb4SBmLfJH","created_at":"Tue Jun 09 15:05:27 +0000 2026","like_count":1357,"retweet_count":114,"reply_count":49,"resolved_url":"https://nycstoops.com/","resolved_type":"external","venture_tags":["fishboneny-com","onesqft-org"],"editorial_note":"Tool relevant to fishboneny com: could inform product or stack decisions.","signal_type":"tool","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:47.576Z"},{"tweet_id":"2071346903506198568","author":"shenzhenfoundry","author_name":"Shenzhen Foundry","text":"You can literally see the cameras, flexible PCBs, battery, and connectors. This is the kind of hardware that shows how fast Chinese teams are iterating on wearable AI after the Ray-Ban Meta wave.\n\nThe real challenge isn’t just making it look clean — it’s hitting the right balance of compute, battery life, thermal, and cost while still being manufacturable at scale.\n\nIf you’re building edge AI wearables, these public teardowns are gold for understanding what’s actually possible right now.\n#AR #VR #AIglasses #shenzhen #wearable #OEM","created_at":"Sun Jun 28 21:36:00 +0000 2026","like_count":1213,"retweet_count":86,"reply_count":36,"resolved_url":null,"resolved_type":null,"venture_tags":["chipmonk-tech","onesqft-org"],"editorial_note":"General intelligence signal for the VE Lab portfolio.","signal_type":"general","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:45.465Z"},{"tweet_id":"2020097372924096569","author":"KSimback","author_name":"Kevin Simback 🍷","text":"If you’re building out an agent team with Clawdbot / @openclaw do yourself a favor and learn from all my trials and errors","created_at":"Sat Feb 07 11:28:39 +0000 2026","like_count":1208,"retweet_count":95,"reply_count":33,"resolved_url":null,"resolved_type":null,"venture_tags":["onesqft-org"],"editorial_note":"Educational resource for onesqft org.","signal_type":"education","month_tag":"2026-02","ingested_at":"2026-07-01T04:05:05.384Z"},{"tweet_id":"2070861100888051760","author":"sudoingX","author_name":"Sudo su","text":"if you're just getting into local llms, do yourself a favor and start by building llama.cpp from source. not ollama, not lm studio.\n\nbuild llama.cpp once, it's genuinely just a git clone and a make command with cuda on, and it clicks. you see the flags, you control the quant, you run any gguf on the planet, and llama-bench gives you real numbers instead of a vibe. when something's slow, you know why, and you can fix it.\n\nollama and lm studio are fine for \"just chat with a model.\" but if you actually want to understand local inference, they're a ceiling, not a foundation. start one level deeper. it pays off every single day after.","created_at":"Sat Jun 27 13:25:35 +0000 2026","like_count":1154,"retweet_count":84,"reply_count":52,"resolved_url":null,"resolved_type":null,"venture_tags":["freeintelligence-ai","a3r-network","onesqft-org"],"editorial_note":"Tool relevant to freeintelligence ai: could inform product or stack decisions.","signal_type":"tool","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:45.681Z"},{"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":"2041985345651171395","author":"bertspaan","author_name":"Bert Spaan","text":"12½ years ago, I made a map of all the buildings in the Netherlands. Unexpectedly, people loved it! Ever since, I've been wanting to make an updated version of the map. Newer data, higher resolution, more interactive! I never got around to it, until now https://t.co/PKm8IQobki https://t.co/6I5QFo0TDn","created_at":"Wed Apr 08 21:03:39 +0000 2026","like_count":1003,"retweet_count":129,"reply_count":62,"resolved_url":"https://bertspaan.nl/buildings","resolved_type":"external","venture_tags":["onesqft-org"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-04","ingested_at":"2026-07-01T04:05:13.135Z"},{"tweet_id":"2036500185828696236","author":"emieljanson","author_name":"Emiel Janson","text":"Been building a distraction free music and audiobook player for my daughter. 🎵 https://t.co/mWZqtjRiIF","created_at":"Tue Mar 24 17:47:35 +0000 2026","like_count":978,"retweet_count":35,"reply_count":97,"resolved_url":"https://twitter.com/emieljanson/status/2036500185828696236/video/1","resolved_type":"media","venture_tags":["subwaymusician-xyz","onesqft-org"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-03","ingested_at":"2026-07-01T04:05:12.417Z"},{"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":"2028835396684058789","author":"ankurnagpal","author_name":"Ankur Nagpal","text":"A big new consumer category will be an AI house manager for the entire family\n\nCan live in a group chat and can handle tasks like:\n\n- Manage groceries\n- Plug into home security\n- Scheduling maintenance &amp; cleaning\n- Smart home controls and automations\n\nWho's building this?","created_at":"Tue Mar 03 14:10:27 +0000 2026","like_count":957,"retweet_count":35,"reply_count":176,"resolved_url":null,"resolved_type":null,"venture_tags":["onesqft-org"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-03","ingested_at":"2026-07-01T04:05:12.098Z"},{"tweet_id":"2046981289031667961","author":"garrytan","author_name":"Garry Tan","text":"This cycle below is what has replaced 50% of my agentic coding. This is now how I am building GBrain and my own personal mini-AGI with full context on me and the things I care about. \n\nIt's not hard. It's quite fun. I do something, anything with OpenClaw, then I say SKILLIFY IT https://t.co/hlnImotf1V","created_at":"Wed Apr 22 15:55:45 +0000 2026","like_count":892,"retweet_count":72,"reply_count":49,"resolved_url":"https://twitter.com/garrytan/status/2046981289031667961/photo/1","resolved_type":"media","venture_tags":["onesqft-org"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-04","ingested_at":"2026-07-01T04:05:13.276Z"},{"tweet_id":"2034800782646907275","author":"problogger","author_name":"Darren Rowse","text":"I've been quietly building a Bible reading tracker — it's called Chapter by Chapter. Free, simple, works in your browser, no account needed. If you're trying to read more of the Bible and want something to mark your progress, this might help. Find it at https://t.co/cl16hYpzo9 https://t.co/532TcrN5ok","created_at":"Fri Mar 20 01:14:46 +0000 2026","like_count":842,"retweet_count":98,"reply_count":58,"resolved_url":"https://bible-trackz.pages.dev/","resolved_type":"external","venture_tags":["onesqft-org"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-03","ingested_at":"2026-07-01T04:05:02.848Z"},{"tweet_id":"2017647062221766871","author":"WorkflowWhisper","author_name":"Alton Syn","text":"a funeral home director messaged me last week.\n\n\"i spend 4 hours daily on scheduling and family follow-ups. can AI help?\"\n\ni didn't explain n8n.\ni didn't mention workflows.\ni didn't say \"automation.\"\n\ni said: \"tell me exactly what you do each morning.\"\n\n→ check for new arrangements\n→ send condolence emails\n→ schedule viewings\n→ remind families about paperwork\n→ follow up after services\n\nbuilt the whole system in 22 minutes.\n\nhis reaction: \"i've been doing this manually for 11 years.\"\n\nthe industries nobody's targeting are sitting on problems nobody's solving.\n\nlaw firms. medical practices. property managers. funeral homes.\n\nthey don't want \"automation solutions.\"\n\nthey want their tuesday mornings back.\n\nsynta(.)io","created_at":"Sat Jan 31 17:12:00 +0000 2026","like_count":781,"retweet_count":34,"reply_count":27,"resolved_url":null,"resolved_type":null,"venture_tags":["onesqft-org"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:06.217Z"},{"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":"2062883622403678340","author":"0xaiwhisperer","author_name":"The A.I. Whisperer","text":"Robotics has no GitHub. That's genuinely insane in 2026.\n\nEvery team rebuilds the same parts from scratch. Same grippers. Same servo protocols. Same 2am debugging loops.\n\nSoftware solved this 15 years ago. You don't rewrite a web server, you fork one.\n\nRobotics never got that moment. So we're building it at @tnkrdotai.\n\nGitHub for robots: 3D models, build guides, and full assemblies. Forkable, versioned, reusable.\n\n👇 watch what that looks like","created_at":"Fri Jun 05 13:05:56 +0000 2026","like_count":723,"retweet_count":71,"reply_count":25,"resolved_url":null,"resolved_type":null,"venture_tags":["chipmonk-tech","onesqft-org"],"editorial_note":"Educational resource for chipmonk tech team and stakeholders.","signal_type":"education","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:48.709Z"},{"tweet_id":"2058752406461055388","author":"TheAhmadOsman","author_name":"Ahmad","text":"DROP EVERYTHING\n\nThe ultimate step-by-step projects roadmap for BECOMING an AI Researcher is now available online to read FOR FREE\n\nCovers building\n\n- Tokenizers / embeddings\n- Positional methods\n- Attention / multi-head attention\n- Transformer blocks\n- Training loops / objectives\n- Sampling dashboards\n- Speculative decoding\n- KV cache / MQA / GQA / MLA\n- Long context\n- FlashAttention / hardware budgets\n- MoE routers\n- State-space / diffusion LMs\n- Data pipelines / synthetic data\n- Scaling laws\n- SFT / DPO / RLHF / GRPO / RLVR\n- Quantization\n- Serving systems\n- Evaluation harnesses\n- RAG / tools / agents\n- Multimodal adapters\n- Interpretability / safety\n- Full capstone model system\n\nThe loop for every project\n\n- Build it\n- Plot it\n- Break it\n- Explain it\n- Ship the artifact\n\nYou should read this, and if you cannot now then you most definitely wanna bookmark it for later\n\nDM me when you're working at a frontier lab","created_at":"Mon May 25 03:29:58 +0000 2026","like_count":474,"retweet_count":67,"reply_count":16,"resolved_url":null,"resolved_type":null,"venture_tags":["chipmonk-tech","freeintelligence-ai","onesqft-org"],"editorial_note":"Tool relevant to chipmonk tech.","signal_type":"tool","month_tag":"2026-05","ingested_at":"2026-07-01T04:05:05.232Z"},{"tweet_id":"2020286739856974032","author":"sodofi_","author_name":"sophia dew","text":"if someone is building this DM me\n\ni'm testing every single tool that helps ai agents do things onchain","created_at":"Sun Feb 08 00:01:08 +0000 2026","like_count":451,"retweet_count":13,"reply_count":143,"resolved_url":null,"resolved_type":null,"venture_tags":["onesqft-org","collectivewin-network"],"editorial_note":"Tool relevant to onesqft org.","signal_type":"tool","month_tag":"2026-02","ingested_at":"2026-07-01T04:05:07.490Z"},{"tweet_id":"2059975651583721804","author":"cuysheffield","author_name":"Cuy Sheffield","text":"Visa is for vibe coders.\n\nAnyone can spin up an app and any API can become a merchant.\n\nStarting today we’re onboarding x402 and MPP merchant endpoints into Visa CLI so APIs, LLMs, data products, and dev tools can be discovered and purchased by verified agents with cards on file.\n\nIf you’re building an x402 or MPP endpoint, or want Visa to help you stand one up, sign up below.\n\nWe’re also opening Visa CLI to initial users in the US. DM me for an invite.","created_at":"Thu May 28 12:30:42 +0000 2026","like_count":448,"retweet_count":42,"reply_count":55,"resolved_url":null,"resolved_type":null,"venture_tags":["freeintelligence-ai","onesqft-org"],"editorial_note":"Tool relevant to freeintelligence ai.","signal_type":"tool","month_tag":"2026-05","ingested_at":"2026-07-01T04:05:11.048Z"},{"tweet_id":"2012551934608367980","author":"huang_chao4969","author_name":"Chao Huang","text":"AI phones - large models or small models? We recently open-sourced OpenPhone📱— a 3B parameter mobile agent foundation model! After a year of trial and error, here's what we learned about AI phones ✨\n\nOpen-Sourced AI Phone Agents: https://t.co/7qF3qItBvC\n\n🤔 How do AI phones actually work?\nSimple: AI helps you operate your phone. But how does AI communicate with different apps?\n\nOption 1: API Calls 🔌\nIdeally, we'd just call app APIs directly. Reality check — there are basically none! Big tech won't open their APIs because apps ARE their traffic moat. Building individual MCPs for each app? Engineering nightmare 💥\n\nOption 2: GUI Interaction 🖱️\nSince no APIs, let's do what humans do — look at screens and tap stuff. This approach is super generalizable, should work with any app. That's why most AI phones go the GUI Agent route now.\n\nGUI Agents are basically multi-modal models:\n- Input: screenshot + task description\n- Output: coordinates for next tap\n- Capability: screen understanding + task reasoning\n\n📱 Three technical approaches for Phone Agents\n- Pure cloud ☁️\nWhat most AI phones do currently — heavily rely on cloud-based large models. Performance is definitely better than small models, but privacy🔒 and cost💰 concerns are real.\n\n- Pure on-device models 📱\nThis is the direction OpenPhone is exploring. 3B parameters strikes a good balance — runs on phones, fast, private, and cost-effective. The trade-off is limited performance on complex tasks, given it's only 3B parameters.\n\n- Hybrid edge-cloud 🤝\nProbably the most practical route. Simple stuff and anything privacy-sensitive stays on-device, complex reasoning hits the cloud. The trick is the routing strategy — when to make the switch? Interesting part is teaching the on-device model to recognize its own capability boundaries.\n\n🔮 Some Random thoughts\n1. GUI Agents still have plenty of issues: slow, error-prone, multi-app accuracy sucks. Rich MCP ecosystem would make life easier, but don't hold your breath.\n\n2. Right now everyone's just collecting data, then SFT+RL to optimize models. Basically throwing data at the problem — hopefully we get smarter ways to do this.\n\n3. AI phone ceiling isn't just tech — it's ecosystem. Future apps might go dual mode: APIs for agents, GUI for humans🚀\n\n4. Computer-Use Agents are shifting toward coding — writing code instead of just clicking around💻, because code execution is way more accurate and efficient. Works great on desktop, mobile's still challenging.\n\n5. Future Digital Agents might need to pack everything into one model: coding + multimodal + tool-use.","created_at":"Sat Jan 17 15:45:47 +0000 2026","like_count":368,"retweet_count":69,"reply_count":11,"resolved_url":"https://github.com/HKUDS/OpenPhone","resolved_type":"github","venture_tags":["a3r-network","onesqft-org","renascence-network"],"editorial_note":"Tool relevant to a3r network.","signal_type":"tool","month_tag":"2026-01","ingested_at":"2026-07-01T04:05:06.125Z"},{"tweet_id":"2067006733256421640","author":"wandermist","author_name":"wandermist","text":"THIS IS WHAT JENSEN IS TALKING ABOUT WHEN HE SAYS “AGE OF ROBOTICS”\n\none guy spent 3 weeks building a functional pixar lamp with a custom physics sim, open sourced the entire thing on github including the code to make it jump\n\nthis is hobby robotics right now before groot n1 and isaac sim even become mainstream tools, imagine what the same person ships when the full NVIDIA stack is the starting point\n\nfull build breakdown below","created_at":"Tue Jun 16 22:09:42 +0000 2026","like_count":316,"retweet_count":33,"reply_count":12,"resolved_url":null,"resolved_type":null,"venture_tags":["chipmonk-tech","onesqft-org","vbcnewyork-com"],"editorial_note":"Tool relevant to chipmonk tech: could inform product or stack decisions.","signal_type":"tool","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:46.714Z"},{"tweet_id":"2052492722049835370","author":"erenbali","author_name":"Eren Bali","text":"Who is building an AI agent that can pull permit / zoning rules by address (including city/county/state restrictions) and answer questions. \n\nIf nobody has done thus it’s a $$$$ opportunity","created_at":"Thu May 07 20:56:13 +0000 2026","like_count":303,"retweet_count":6,"reply_count":88,"resolved_url":null,"resolved_type":null,"venture_tags":["onesqft-org","collectivewin-network"],"editorial_note":"Opportunity gap for onesqft org.","signal_type":"opportunity","month_tag":"2026-05","ingested_at":"2026-07-01T04:05:10.797Z"},{"tweet_id":"2019878299892404324","author":"privy_io","author_name":"Privy","text":"1/ Every Friday, we ship to make building on Privy better.\n\nToday, we’re releasing a new @openclaw skill that lets your agent create and use a wallet, turning agents from social into economic actors.\n\n🚨 PSA: Please read the security docs before enabling anything. https://t.co/M59mOOH1r6","created_at":"Fri Feb 06 20:58:08 +0000 2026","like_count":285,"retweet_count":17,"reply_count":43,"resolved_url":"https://twitter.com/privy_io/status/2019878299892404324/photo/1","resolved_type":"media","venture_tags":["onesqft-org"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-02","ingested_at":"2026-07-01T04:05:01.828Z"},{"tweet_id":"2057576390967312443","author":"mfranz_on","author_name":"Marco Franzon","text":"I started to get passionate about the drones about 10 years ago: building, repairing (mostly), firmware tuning and so on. \n\nBut now I am asking what if I had this app 10 years ago. This AI support for building from scratch a drone. \n>No days in modeling the frame on blender\n>No days in flashing bad firmware\n>No weeks for receiving the components, but 3D print them \n>No wrong components purchased\n\nA simple chat with the blender mcp for designing the drone and betaflight for test and simulate the firmware. \n\nI understand all of you who are building day and night, doing these things is too much fun.","created_at":"Thu May 21 21:36:54 +0000 2026","like_count":251,"retweet_count":20,"reply_count":9,"resolved_url":null,"resolved_type":null,"venture_tags":["onesqft-org"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-05","ingested_at":"2026-07-01T04:05:10.972Z"},{"tweet_id":"2056842823249572153","author":"meta_alchemist","author_name":"Meta Alchemist","text":"agentic builders & vibe coders:\n\nIf you are looking to:\n> get grants to pay for your LLM subscriptions\n> get ready to launch a project that creates income\n> build in a remote incubation environment\nThen read on\n\nWe are especially looking for those who have been shipping, not aspirational vibe coders.\n\nAlso, we are looking for people who will be cool with tokenizing their projects, because the path of least resistance for open-source agentic projects now is actually the route of blockchain.\n\nWhy have a token?\n> earns you $ directly from attention/volume\n> you don't need to have subscribers to grow\n> tech stack is perfect for agentic innovations\n\nWho is the founder of this program?\n> It's me. I created a token that was fully bootstrapped and took it to a $350M market cap without any VC funding. As an incubator helped launch many startups in the blockchain, gaming, and AI verticals. \n\nAlso have 20.000+ commits in GitHub in the past 9 months, living in the terminal almost every waking hour.\n\nConditions:\n• Tokenization goal\n• Sharing a % of your tokens with our community, as incentives for jumpstarting your community building\n• Building something dope\n\nHow to apply: just drop your finest GitHub repo in the comments. That's all.","created_at":"Tue May 19 21:01:58 +0000 2026","like_count":224,"retweet_count":32,"reply_count":70,"resolved_url":null,"resolved_type":null,"venture_tags":["freeintelligence-ai","onesqft-org","groww-ca"],"editorial_note":"Market data for freeintelligence ai.","signal_type":"market","month_tag":"2026-05","ingested_at":"2026-07-01T04:05:12.962Z"},{"tweet_id":"2056666511905861653","author":"Param_eth","author_name":"Param","text":"POLYMARKET INSIDER TRACKER: \n\nI built an insider detection tool for @Polymarket.\n\nIt maps every wallet betting on a market, \n\nflags coordinated clusters and shows you real onchain positions in one click.\n\nLaunching: https://t.co/XQ5Z7akOUy\n\nPick any market and:\n\n> See every whale, insider and sybil ring on the map\n\n> Click a bubble \n- Polymarket profile\n- positions \n- trades\n\n> Identify coordinated entries before the price moves.\n\nWhat it can do:\n\n> Visualize 200+ real onchain wallets per market in a live force-directed bubble map\n\n> Click any bubble and get cost basis, P&L, win rate, trade history, link to their Polymarket profile\n\n> Live whale-feed ticker showing every recent BUY / SELL on the market\n\nExample flow:\n\nYou're scrolling Polymarket. \n\nA market is trading at 14¢.\n\nYou open PolyMaps.\n\nThere's a tight cluster of 7 wallets, all glowing orange.\n\nYou click one: \"Bought $14K @ 13¢, 2h ago.\"\n\nClick another. \nSame outcome. \nSame time. \nSame price.\n\nYou're watching a coordinated entry in real time.\n\n20 minutes later, the market is at 38¢.\n\nBuilding in public.","created_at":"Tue May 19 09:21:22 +0000 2026","like_count":174,"retweet_count":11,"reply_count":46,"resolved_url":"https://polymapss.netlify.app/","resolved_type":"external","venture_tags":["goodalgo-network","onesqft-org"],"editorial_note":"Tool relevant to goodalgo network.","signal_type":"tool","month_tag":"2026-05","ingested_at":"2026-07-01T04:05:12.845Z"},{"tweet_id":"2060431173625540631","author":"sxtvik","author_name":"satvik","text":"Some observations from referring 63 founders to @alliance, maybe helpful for others:\n\n1. Too many people building prediction markets still, what you think is a novel company is a weekend feature for incumbents who've raised a billion dollars and already have distribution.\n2. Too many perp dexes and leveraged trading products still, their \"novelty\" is usually stacking leverage on already leveraged assets aka cascading catastrophe for users. If you burn the user once, they won't return.\n3. Lot of agentic use cases, the low hanging fruit (agentic commerce, agentic coordination/unification) is less exciting personally. But a few novel applications across healthcare, science, gaming stood out to me.\n4. Solana and Hyperliquid reign supreme, Base is a close 3rd. No Monad, MegaETH, Ethereum, etc. This is maybe an Alliance alignment issue or a larger preference trend for builders.\n5. What many builders believe is unique and new is most likely already being done by another person in my DMs. The immediate opportunities are very obvious and $500K might not be enough to take on Stripe and Ramp, find new avenues where you have an unfair advantage and asymmetric opportunity.\n6. Not a lot of \"cypherpunk/privacy\" builders, I think there's still massive opportunities in resilience, networking, shielding, identity for both crypto and AI use cases that I would've loved to see more of. \n7. Manners. A please, thank you, and professionalism in cold messages go a long way.","created_at":"Fri May 29 18:40:47 +0000 2026","like_count":173,"retweet_count":9,"reply_count":33,"resolved_url":null,"resolved_type":null,"venture_tags":["goodalgo-network","oneof1-network","velab-org","onesqft-org","groww-ca","myblackbean-com"],"editorial_note":"Market signal for goodalgo network.","signal_type":"trend","month_tag":"2026-05","ingested_at":"2026-07-01T04:05:03.530Z"},{"tweet_id":"2021972042132722043","author":"mds","author_name":"MDS","text":"A (normie) use case for @openclaw\n\nI setup a workspace so my wife can text her own agent to spawn a real estate research team.\n\nShe does nothing except interact with the text thread \n\nI setup cron, heartbeat, etc.\n\nThe team and skills:\n\nZillow property analyzer\nZoning laws for rentals\nCost seg analysis\nAirDNA analysis\nMaybe another I’m forgetting\n\nShe just has to give it a property address\n\nSaves research into her workspace for later","created_at":"Thu Feb 12 15:37:55 +0000 2026","like_count":121,"retweet_count":2,"reply_count":7,"resolved_url":null,"resolved_type":null,"venture_tags":["onesqft-org","renascence-network"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-02","ingested_at":"2026-07-01T04:05:09.337Z"},{"tweet_id":"2067662051087192506","author":"frankdenbowgoat","author_name":"Frank Denbow","text":"JERSEY TRACKING\n\nBuilding @ballersappai to support leagues &amp; organized ball with:\n\n- Jersey number tracking\n- Team identification\n- Personalized stats and highlights\n\nSign up at https://t.co/On3u8i1SaJ to get access\n\nS/o @roboflow @ShaanVP https://t.co/NT5O03s6sM","created_at":"Thu Jun 18 17:33:42 +0000 2026","like_count":87,"retweet_count":5,"reply_count":9,"resolved_url":"https://ballers.gg/","resolved_type":"external","venture_tags":["onesqft-org"],"editorial_note":"General intelligence signal for the VE Lab portfolio.","signal_type":"general","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:46.392Z"},{"tweet_id":"2059485840867303711","author":"masonnystrom","author_name":"Mason Nystrom","text":"Great essay. My takeaways\n\n1) Esports is an underserved prediction market vertical. If you're building this my DMs are open. \n\n2) Weather bettors really like the weather, but retention was lower (strange?), indicating solving something as part of that market structure or building a better weather product (e.g. derivative, better data feed) could really increase weather betting retention. \n\n3) Sports users mostly stick to themselves, showcasing the need for a dedicated market for sports predictions. \n\n4) Listings is another way to say \"asset differentiation\" which is core to any marketplace. The best marketplaces provide differentiated supply of tradeable assets, but the key to find ways to build propriety into those assets (e.g. via unique data feeds, licensing, user data, regulatory compliance, local targeting, etc.)","created_at":"Wed May 27 04:04:22 +0000 2026","like_count":78,"retweet_count":0,"reply_count":16,"resolved_url":null,"resolved_type":null,"venture_tags":["goodalgo-network","onesqft-org"],"editorial_note":"Market data for goodalgo network.","signal_type":"market","month_tag":"2026-05","ingested_at":"2026-07-01T04:05:15.493Z"},{"tweet_id":"2033212267198644604","author":"itsR3LL","author_name":"R3LL","text":"what city do you think is building the most interesting underground music scene right now? not the obvious answers","created_at":"Sun Mar 15 16:02:34 +0000 2026","like_count":24,"retweet_count":1,"reply_count":24,"resolved_url":null,"resolved_type":null,"venture_tags":["subwaymusician-xyz","onesqft-org"],"editorial_note":"Intelligence signal for VE Lab portfolio.","signal_type":"general","month_tag":"2026-03","ingested_at":"2026-07-01T04:05:07.987Z"},{"tweet_id":"2068319125588316486","author":"staysaasy","author_name":"staysaasy","text":"OK y'all I vibe coded an app to help you pick your NJ commuter town. Hit me with feedback https://t.co/cGXhqNqhII","created_at":"Sat Jun 20 13:04:41 +0000 2026","like_count":22,"retweet_count":2,"reply_count":1,"resolved_url":"https://njtown.vercel.app/","resolved_type":"external","venture_tags":["onesqft-org"],"editorial_note":"General intelligence signal for the VE Lab portfolio.","signal_type":"general","month_tag":"2026-06","ingested_at":"2026-07-01T01:51:46.168Z"}]}