Get live statistics and analysis of Mitchell Hashimoto 's profile on X / Twitter Mitchell Hashimoto @mitchellh Working on a new terminal: Ghostty. đ» Prev: founded @HashiCorp . Created Vagrant, Terraform, Vault, and others. Vision Jet Pilot. đšââïž
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Archetype analysis The Innovator Mitchell Hashimoto is a builder of developer-facing infrastructure tools and the founder behind HashiCorp, known for Terraform, Vagrant, and Vault. Now building Ghostty, a new terminal, he blends deep engineering craftsmanship with product vision and an occasional pilot's log. His feed mixes technical awe, candid takes, and high-engagement engineering insights.
đ„ Roast You built the tools that tame the cloud and own a jet, but insist the best engineers vanish from the internet, congrats, youâre single-handedly creating stealth-mode unicorns while commuting above them.
âĄïž Nice achievement Founding HashiCorp and shipping industry-defining open-source projects (Terraform, Vagrant, Vault) that changed how infrastructure is provisioned and secured worldwide.
đ Life's purpose To make complex infrastructure simple, reliable, and extensible for engineers everywhere, by inventing tools and patterns that let teams automate, collaborate, and scale with confidence. He pursues practical elegance: ship durable systems that others can build on.
đŹ Values and Beliefs Believes in engineering craftsmanship, open-source ecosystems, composable systems (plugins and APIs over monoliths), and empowering quiet, focused talent. Values autonomy, pragmatic engineering over hype, and writing software that respects operators and developers equally.
đȘ Strength Exceptional product instinct for developer tools, deep technical credibility, ability to design extensible plugin systems, and a magnetic thought leadership voice that drives large community engagement.
𫣠Weakness Can come off contrarian or blunt (great for sparking debate, risky for diplomacy), and favors substance over self-promotion which sometimes limits broader mainstream storytelling of wins.
âĄïž Growth audience tips To grow your audience on X: share short dev-ops stories and bite-sized design threads that unpack design trade-offs (1, 6 tweet threads), post short demo videos of Ghostty features, pin a clear mission thread, engage in high-signal replies to community questions, host periodic AMAs or Spaces about architecture and plugins, and amplify community-created projects that use your tools to turn users into advocates.
đ Bonus Fun fact: He not only founded HashiCorp and created staples like Terraform and Vault, he's also a Vision Jet pilot, so he literally builds clouds and flies above them.
Top tweets of Mitchell HashimotoSlop drives me crazy and it feels like 95+% of bug reports, but man, AI code analysis is getting really good. There are users out there reporting bugs that don't know ANYTHING about our stack, but are great AI drivers and producing some high quality issue reports.
This person (linked below) was experiencing Ghostty crashes and took it upon themselves to use AI to write a python script that can decode our crash files, match them up with our dsym files, and analyze the codebase for attempting to find the root cause, and extracted that into an Agent Skill.
They then came into Discord, warned us they don't know Zig at all, don't know macOS dev at all, don't know terminals at all, and that they used AI, but that they thought critically about the issues and believed they were real and asked if we'd accept them. I took a look at one, was impressed, and said send them all.
This fixed 4 real crashing cases that I was able to manually verify and write a fix for from someone who -- on paper -- had no fucking clue what they were talking about. And yet, they drove an AI with expert skill.
I want to call out that in addition to driving AI with expert skill, they navigated the terrain with expert skill as well. They didn't just toss slop up on our repo. They came to Discord as a human, reached out as a human, and talked to other humans about what they've done. They were careful and thoughtful about the process.
People like this give me hope for what is possible. But it really, really depends on high quality people like this. Most today -- to continue the analogy -- are unfortunately driving like a teenager who has only driven toy go-karts.
Examples: https://t.co/n8xCcPYSjw
Most engaged tweets of Mitchell HashimotoExcited to share that I've joined Vercel's Board of Directors. Vercel is made up of builders and tastemakers that continually ship things that deeply impact how developers work: Next.js, AI SDK, v0, etc. I can't think of a more exciting place to be. Let's fucking ship. âČ
My relationship with Vercel goes back to the earliest days. HashiCorp was an early adopter of NextJS and Vercel (~10 years ago!) and it remains my default tech stack and deployment platform to this day. Ghostty's website is all on Vercel, too!
Beyond that, I've been continually impressed with the teams relentless focus on shipping meaningful software. And importantly, software that has incredible taste.
Now we are in the age of agentic software development. Vercel is building agentic infrastructure that I think every app and agent will need (I certainly need it!) and I can't think of a more exciting place to be.
Huge thanks to @rauchg , Jeanne, Marten, @cramforce , @tomocchino and the entire Vercel team for the warm welcome. Time to work.
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Do what you love, not what others expect! â€ïž https://t.co/M3h8ipjEf0","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null,"source":"scraping","fetched_at":null,"edit_history_tweet_ids":null,"poll_10min_at":null,"poll_3day_at":null,"poll_count":0,"poll_complete":0},{"bookmarked":false,"display_text_range":[0,182],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1638966754226610181","view_count":1617550,"bookmark_count":2140,"created_at":1679595099000,"favorite_count":5907,"quote_count":77,"reply_count":91,"retweet_count":723,"user_id_str":"12819682","conversation_id_str":"1638966754226610181","full_text":"I've developed a lot of plugin systems, and the OpenAI ChatGPT plugin interface might be the damn craziest and most impressive approach I've ever seen in computing in my entire life.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null,"source":"scraping","fetched_at":null,"edit_history_tweet_ids":null,"poll_10min_at":null,"poll_3day_at":null,"poll_count":0,"poll_complete":0},{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1968040024211157285","view_count":342685,"bookmark_count":954,"created_at":1758052280000,"favorite_count":5882,"quote_count":65,"reply_count":156,"retweet_count":235,"user_id_str":"12819682","conversation_id_str":"1968040024211157285","full_text":"This is going to be ironic coming from me but the best software engineers I've ever worked with and that you can ever hire are the ones with no online presence, no GitHub activity, and spent the last 10 years of their life working at the most boring company you can ever imagine.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null,"source":"scraping","fetched_at":null,"edit_history_tweet_ids":null,"poll_10min_at":null,"poll_3day_at":null,"poll_count":0,"poll_complete":0},{"bookmarked":false,"display_text_range":[0,213],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","quoted_status_id_str":"1975257083860922873","quoted_status_permalink":{"url":"https://t.co/7yE0XoRque","expanded":"https://twitter.com/jshchnz/status/1975257083860922873","display":"x.com/jshchnz/statusâŠ"},"retweeted":false,"fact_check":null,"id":"1975261279444214083","view_count":562756,"bookmark_count":500,"created_at":1759773962000,"favorite_count":5596,"quote_count":14,"reply_count":96,"retweet_count":73,"user_id_str":"12819682","conversation_id_str":"1975261279444214083","full_text":"This is funny but I'm also so sorry to trigger this during a talk. This is making me wonder if I can reliably detect when the display is being mirrored and delay update notices... Thanks for using Ghostty, though!","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":1,"is_ai":null,"ai_score":null,"source":"scraping","fetched_at":null,"edit_history_tweet_ids":null,"poll_10min_at":null,"poll_3day_at":null,"poll_count":0,"poll_complete":0},{"bookmarked":false,"display_text_range":[0,279],"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"favorited":false,"lang":"en","retweeted":false,"fact_check":null,"id":"1844456918418587879","view_count":818723,"bookmark_count":755,"created_at":1728587772000,"favorite_count":5466,"quote_count":158,"reply_count":770,"retweet_count":244,"user_id_str":"12819682","conversation_id_str":"1844456918418587879","full_text":"I can understand engineers who use Linux. I can understand engineers who use macOS. I really donât understand engineers who use Windows (except windows app developers). By understand I mean I can see the value system they operate under. It just seems bad for non-Windows dev work","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null,"source":"scraping","fetched_at":null,"edit_history_tweet_ids":null,"poll_10min_at":null,"poll_3day_at":null,"poll_count":0,"poll_complete":0},{"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"display_text_range":[0,269],"lang":"en","fact_check":null,"id":"2026669906893369760","view_count":1084671,"bookmark_count":796,"created_at":1772030734000,"favorite_count":5274,"quote_count":91,"reply_count":337,"retweet_count":220,"user_id_str":"12819682","conversation_id_str":"2026669906893369760","full_text":"I know this is pretty well established at this point, but Codex 5.3 is a much more effective model than Opus 4.6. I went back and forth on both for a bit, but havenât touched Opus at all now for a full week. First model to get me off of Opus⊠ever. Good job Codex team.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null,"source":"koosocial_engage","fetched_at":1774558972365,"edit_history_tweet_ids":null,"poll_10min_at":null,"poll_3day_at":1772290831740,"poll_count":1,"poll_complete":1},{"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"display_text_range":[0,278],"lang":"en","fact_check":null,"id":"2006114026191769924","view_count":345275,"bookmark_count":1487,"created_at":1767129830000,"favorite_count":4974,"quote_count":81,"reply_count":101,"retweet_count":429,"user_id_str":"12819682","conversation_id_str":"2006114026191769924","full_text":"Slop drives me crazy and it feels like 95+% of bug reports, but man, AI code analysis is getting really good. There are users out there reporting bugs that don't know ANYTHING about our stack, but are great AI drivers and producing some high quality issue reports. \n\nThis person (linked below) was experiencing Ghostty crashes and took it upon themselves to use AI to write a python script that can decode our crash files, match them up with our dsym files, and analyze the codebase for attempting to find the root cause, and extracted that into an Agent Skill.\n\nThey then came into Discord, warned us they don't know Zig at all, don't know macOS dev at all, don't know terminals at all, and that they used AI, but that they thought critically about the issues and believed they were real and asked if we'd accept them. I took a look at one, was impressed, and said send them all.\n\nThis fixed 4 real crashing cases that I was able to manually verify and write a fix for from someone who -- on paper -- had no fucking clue what they were talking about. 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But itâs not isolated to that one instance, of course. \n\nIt seems like everyday young founders funded by big names are just trying to outdo each other on wasteful shit.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null,"source":"scraping","fetched_at":null,"edit_history_tweet_ids":null,"poll_10min_at":null,"poll_3day_at":null,"poll_count":0,"poll_complete":0},{"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"display_text_range":[0,272],"lang":"en","fact_check":null,"id":"2011823007069847875","view_count":286143,"bookmark_count":874,"created_at":1768490957000,"favorite_count":3439,"quote_count":60,"reply_count":175,"retweet_count":198,"user_id_str":"12819682","conversation_id_str":"2011823007069847875","full_text":"I'm not presently hiring, but I think a really effective engineering interview would be to explicitly ask someone to use AI to solve a task, and see how they navigate. Ignore results, the way AI is driven is maybe the most effective tool at exposing idiots I've ever seen.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null,"source":"rapidapi","fetched_at":1770316198048,"edit_history_tweet_ids":null,"poll_10min_at":null,"poll_3day_at":null,"poll_count":0,"poll_complete":0},{"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[{"display_url":"ghostty.org/docs/install/râŠ","expanded_url":"https://ghostty.org/docs/install/release-notes/1-3-0","indices":[244,267],"url":"https://t.co/IMk3i6528t"}],"user_mentions":[]},"display_text_range":[0,267],"lang":"en","possibly_sensitive":false,"fact_check":null,"id":"2031042095822340417","view_count":323452,"bookmark_count":592,"created_at":1773073145000,"favorite_count":4351,"quote_count":94,"reply_count":171,"retweet_count":390,"user_id_str":"12819682","conversation_id_str":"2031042095822340417","full_text":"Ghostty 1.3 is now out! Scrollback search, native scrollbars, click-to-move cursor, rich clipboard copy, AppleScript, split drag/drop, Unicode 17 and international text improvements, massive performance improvements, and hundreds more changes. https://t.co/IMk3i6528t","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null,"source":"rapidapi","fetched_at":1774039539382,"edit_history_tweet_ids":null,"poll_10min_at":null,"poll_3day_at":1773334825854,"poll_count":1,"poll_complete":1},{"entities":{"hashtags":[],"symbols":[],"timestamps":[],"urls":[],"user_mentions":[]},"display_text_range":[0,279],"lang":"en","fact_check":null,"id":"2036866220449030168","view_count":229188,"bookmark_count":680,"created_at":1774461724000,"favorite_count":2279,"quote_count":50,"reply_count":167,"retweet_count":98,"user_id_str":"12819682","conversation_id_str":"2036866220449030168","full_text":"Hereâs what Iâd do if I was in charge of GitHub, in order:\n\n1. Establish a North Star plan around being critical infrastructure for agentic code lifecycles and determine a set of ways to measure that.\n\n2. Fire everyone who works on or advocates for copilot and shut it down. Itâs not about the people, Im sure theres many talented people, youre just working at the wrong company.\n\n3. Buy Pierre and launch agentic repo hosting as the first agentic product. Repos would be separate from the legacy web product to start since theyâre likely burdened with legacy cross product interactions.\n\n4. Re-evaluate all product lines and initiatives against the new North Star. I suspect 50% get cut (to make room for different ones).\n\nThe big idea is all agentic interactions should critically rely on GitHub APIs. Code review should be agentic but the labs should be building that into GH (not bolted in through GHA like today, real first class platform primitives). GH should absolutely launch an agent chat primitive, agent mailboxes are obviously good. Etc. GH should be a platform and not an agent itself. \n\nThis is going to be very obviously lacking since I only have external ideas to work off of and have no idea how GitHub internals are working, what their KPIs are or what North Star they define, etc. \n\nBut, with imperfect information, this is what Iâd do.","in_reply_to_user_id_str":null,"in_reply_to_status_id_str":null,"is_quote_status":0,"is_ai":null,"ai_score":null,"source":"rapidapi","fetched_at":1774564592177,"edit_history_tweet_ids":null,"poll_10min_at":null,"poll_3day_at":null,"poll_count":0,"poll_complete":0}],"activities":null,"interactions":null,"interactions_updated":null,"created":1774565034789,"updated":1774565034789,"type":"the innovator","hits":1},"people":[{"user":{"id":"137086701","name":"Virat Singh","description":"Founder @findatasets, market infra for your agents.","followers_count":46710,"friends_count":90,"statuses_count":7505,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1237964548704841736/iai1MNLE_normal.jpg","screen_name":"virattt","location":"New York, NY","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"financialdatasets.ai","expanded_url":"https://www.financialdatasets.ai/","indices":[0,23],"url":"https://t.co/ZTELBmduPE"}]}}},"details":{"type":"The Innovator","description":"Founder @findatasets building market infrastructure for AI agents â the person behind Dexter, an open-source financial agent and a transparent, real-world AI hedge fund. Virat mixes engineering rigor with finance to democratize algorithmic investing and shares every line of code and agent reasoning. High-impact threads and demos make complex systems feel accessible.","purpose":"To democratize market infrastructure and make powerful, transparent financial agents accessible to everyone â enabling people to run, learn from, and improve algorithmic investing with open-source tools and reproducible reasoning.","beliefs":"Believes in openness, reproducibility, and education: code should be shared, agent decisions should be visible, and anyone should be able to learn by running real systems. Values rapid iteration, community collaboration, and practical tools over opaque black-box solutions.","facts":"Fun fact: Dexter hit 10,000 stars on GitHub. Virat has ~46,710 followers while following just 90 accounts and has tweeted ~7,505 times â a prolific builder with serious community reach.","strength":"Technical depth + clarity: builds end-to-end, interpretable multi-agent systems, ships fast, and backs claims with open-source code and demos that attract strong community traction.","weakness":"Can lean heavily into technical detail and rapid iteration, which risks alienating non-technical audiences, invites regulatory/skeptic scrutiny in finance, and can create noise from high tweet volume or over-promising features.","recommendation":"On X, double down on demo-driven storytelling: publish step-by-step threads that break a feature into 3â5 tweets, short screen-record videos showing Dexter running on local LLMs, and reproducible notebooks pinned to your profile. Host monthly Spaces/AMAs to walk through agent internals, amplify community reproductions, tag contributors, and use visuals (charts, agent callouts) to turn complex concepts into snackable content. Collaborate with finance and ML influencers for cross-posts and run mini-challenges that encourage people to fork, run, and share results.","roast":"You open-sourced an AI hedge fund in ~200 lines of code and scored 10k GitHub stars, yet you follow 90 people â clearly your agents are doing your networking, because youâre doing the social life in single-threaded mode.","win":"Dexter reached 10,000 stars on GitHub â a huge signal that an open-source financial agent resonated with the community (plus a viral tweet that broke 1.2M views)."},"created":1774572106577,"type":"the innovator","id":"virattt"},{"user":{"id":"971039337017171970","name":"Sylve","description":"đ speedrunning the blockchain endgame @hyli_org with @wraitii. \n\nbe kind","followers_count":6596,"friends_count":3399,"statuses_count":9118,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1690363922518245376/2nR79DgS_normal.jpg","screen_name":"sylvechv","location":"","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"sylve.org","expanded_url":"https://sylve.org/","indices":[0,23],"url":"https://t.co/ZgcteOU5N6"}]}}},"details":{"type":"The Innovator","description":"Sylve is a fast-moving blockchain builder and community catalyst, speedrunning the 'blockchain endgame' at Hyli while keeping things delightfully human with a simple 'be kind' ethos. Hands-on with testnets, observability, and playful community experiments, they turn technical milestones into shareable moments. Their feed mixes engineering wins, event ideas, and the occasional life update (they got married â yes, really).","purpose":"To accelerate the real-world adoption of high-performance, developer-friendly blockchain infrastructure by shipping bold experiments, rallying builders, and proving systems at scale â all while keeping community warmth at the center.","beliefs":"Open source, rapid iteration, and human-first product design; decentralization should be usable and fun; technical rigor and kindness can coexist; demonstrations and community-led testing are the fastest route to meaningful change.","facts":"Fun fact: Sylve helped relaunch HylĂ© as Hyli and shepherded a testnet that saw ~70k transactions in 24 hours. Follower count ~6.6k, 9k+ tweets, and yes â a tweet reading 'sorry was busy getting married: what did i miss?' that became a charming moment in the timeline.","strength":"Relentless velocity and execution: ships experiments quickly and attracts engaged testers; strong storyteller for technical progress; builds playful, hands-on community energy that converts curiosity into action.","weakness":"Moves so fast that documentation, long-form explanation, or slower community members can get left behind; can prioritize shipping over polish; prone to burnout or fragmented conversations because they multitask across product, community, and persona.","roast":"You speedrun blockchains like itâs a video game â by the time the rest of us open the README, youâve renamed the project, merged the patch, and somehow also gotten married. Slow down, or at least tag the tutorial for the laggards.","win":"Rebranding HylĂ© to Hyli and driving a wildly successful testnet run (70k txs in 24 hours) that galvanized testers and turned technical throughput into a viral community moment.","recommendation":"Pin a clear demo thread showing how Hyli works (short videos + gifs); run regular AMAs/Spaces with live testnet demos; publish concise dev threads breaking down wins (benchmarks, what we learned, how to join); collaborate with other builders for cross-promotion; use reply threads to convert high-reply tweets into FAQ threads; and keep 'be kind' as a community guideline to nurture long-term contributors."},"created":1774571559706,"type":"the innovator","id":"sylvechv"},{"user":{"id":"3252378935","name":"Su đȘ·","description":"Founder & Somatic IFS coach exploring AI + self-inquiry + distraction. Experimenting in public with https://t.co/f7qwjBR7n6 and https://t.co/C0S33EfDFl","followers_count":4855,"friends_count":1330,"statuses_count":8951,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1911274201643716608/u4Ks8re6_normal.jpg","screen_name":"su_dreams","location":"https://myinneroasis.com/","entities":{"description":{"urls":[{"display_url":"myflowcus.com","expanded_url":"http://myflowcus.com","indices":[100,123],"url":"https://t.co/f7qwjBR7n6"},{"display_url":"letsflowork.com","expanded_url":"http://letsflowork.com","indices":[128,151],"url":"https://t.co/C0S33EfDFl"}]},"url":{"urls":[{"display_url":"myinneroasis.kit.com/subscribe","expanded_url":"http://myinneroasis.kit.com/subscribe","indices":[0,23],"url":"https://t.co/XXVUXMFW7o"}]}}},"details":{"type":"The Innovator","description":"Su đȘ· is a founder and somatic IFS coach who experiments publicly at the intersection of AI, self-inquiry, and distraction. She turns nervous-system insights into crisp, compassionate threads that routinely reach tens of thousands. Her work feels equal parts lab notebook, therapy session, and invitation to pay attention.","purpose":"To help people notice and transform distraction and procrastination by pairing somatic IFS with curious, public experimentationâso individuals move from protective reactivity into present, purposeful action.","beliefs":"Curiosity and compassionate witnessing are more powerful than willpower; nervous-system responses are signals, not moral failures; experimentation (including with AI) accelerates learning and shared healing; vulnerability in public builds trust and teaches others how to show up.","facts":"Fun fact: Su has tweeted ~8,951 times, has 4,855 followers and follows 1,330âyet her threads still hit tens of thousands of views (one reached ~91k views). She openly experiments in public with AI tools (see her shared links) and uses her own distraction moments as coaching material.","strength":"Deep somatic insight, clear and compassionate writing, willingness to experiment publicly, ability to translate nervous-system ideas into accessible metaphors, consistent output that builds trust and engagement.","weakness":"Can lean into constant experimentation which fragments attention; sometimes over-explains subtle internal states for an audience that prefers bite-sized takeaways; risk of attracting only a niche audience unless framing is broadened.","recommendation":"Pin your best-performing thread and turn it into a repeatable series (e.g., 'The Distraction Tell' threads). Use short videos or voice clips to demo a 2-minute somatic practice, run weekly micro-experiments with clear CTAs, host X Spaces to convert passive viewers into engaged followers, and collaborate with complementary creators (AI builders, therapists, productivity writers) to expand reach.","roast":"Youâve made popping open a new tab into a branded somatic milestoneâcongrats, your inbox is now a spiritual practice and every refresh is a rite of passage.","win":"Built an engaged audience and sparked large-scale conversations about procrastination and the nervous systemâseveral threads reached tens of thousands of views (one ~91k), reframing procrastination as a protective response rather than a character flaw."},"created":1774571442943,"type":"the innovator","id":"su_dreams"},{"user":{"id":"361860294","name":"ria bhutoria","description":"stablecoins @stripe","followers_count":15790,"friends_count":2592,"statuses_count":3397,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1963391844441886723/Uqx0rsV3_normal.jpg","screen_name":"riabhutoria","location":"","entities":{"description":{"urls":[]}}},"details":{"type":"The Innovator","description":"Ria Bhutoria is a product-minded payments and crypto operator whoâs obsessed with making stablecoins practical, safe, and widely useful. She builds infrastructure, writes smart threads, and moves between startups and platform-level roles with infectious enthusiasm. Expect clear takes, design-first thinking, and a knack for turning research into real products.","purpose":"To accelerate mainstream adoption of stablecoins and crypto-native payments by building rigorous, user-first infrastructure and tools that make money movement faster, cheaper, and more accessible for everyone.","beliefs":"Product craft and engineering rigor beat hype; interoperability, neutrality, and sound guardrails are essential for crypto to serve real users; verification and careful design are the antidotes to blind trust; permissionless options and pragmatic rails can coexist.","facts":"Fun fact: Ria went all in on crypto seven years ago and has since parlayed that conviction into leadership betsâjoining teams like Stripe and delta to ship stablecoin-first infrastructure (and she signed the Stripe announcement with a cowboy hat emoji đ€ ).","strength":"Combines deep technical/product intuition with an operatorâs execution muscle; great at explaining complex protocol tradeoffs in plain language; credible network and the ability to rally engineering and biz teams around infrastructure projects.","weakness":"Can sound delightfully nerdy to outsidersâsometimes assuming audiences share a high baseline of technical knowledgeâand can be impatient with slow consensus or purely theoretical debates that donât lead to product outcomes.","roast":"Ria will design the perfect, elegantly peer-reviewed stablecoin pipeline, document it in three threads, and quietly join a startup that makes it slightly less theoreticalâbecause she canât resist building the thing she just spent a week arguing about on Twitter.","win":"Turning early crypto conviction into measurable impact: leadership roles at high-profile projects (Stripeâs stablecoin efforts and delta as COO) and visible community influence that drives hiring, product adoption, and funding interest.","recommendation":"On X, lean into explainer threads that break down one payment or stablecoin flow per thread, publish short post-mortems of design choices, run monthly AMAs or Spaces with payments folks and merchants, use simple visuals to illustrate flows, and tag/engage people who can validate economicsâthis turns technical credibility into broader, practical influence."},"created":1774570442661,"type":"the innovator","id":"riabhutoria"},{"user":{"id":"1001797450825388032","name":"OÄuz YaÄız Kara","description":"Co-Founder & Designer @LueStudio","followers_count":45249,"friends_count":1375,"statuses_count":6693,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1958503624784400384/W2P6bsFH_normal.jpg","screen_name":"oguzyagizkara","location":"","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"lue.studio","expanded_url":"https://lue.studio","indices":[0,23],"url":"https://t.co/ccBgUB6DHs"}]}}},"details":{"type":"The Innovator","description":"OÄuz YaÄız Kara is a designer-founder who prototypes tomorrowâs products today, blending polished UI craft with bold AI-first ideas. As Co-Founder & Designer at LueStudio and a new member of Shopifyâs design team, he mixes product launches, hot takes, and personal wins into a magnetic Twitter presence. His feed is equal parts demo reel, thought experiment, and life update.","purpose":"To make advanced technology feel human and usable by turning speculative ideas into tangible prototypes and products that people can actually play with. He aims to accelerate design-led innovation and inspire other makers to experiment loudly and iterate quickly.","beliefs":"Values rapid experimentation, clarity of craft, and shipping over perfection. Believes powerful tech (especially AI) should be accessible and integrated thoughtfully into design, and that honest public iteration builds better products and communities.","facts":"Fun fact: One of his tweets about a \"universal key for instant AI access\" hit over 5.6 million views. He also announced two major life moments on Twitterâhis marriage and joining Shopifyâboth of which got huge engagement.","strength":"Visionary idea generation, fast prototyping (Figma wizardry), strong personal brand with high audience engagement, and the credibility of founder + product experience that turns attention into opportunity.","weakness":"Can be impulsive with hot takes that spark big reply storms, risks spreading attention across too many experiments, and sometimes values novelty over finishing long, deep projects.","recommendation":"Pin a short pinned-thread walkthrough for your biggest projects (screenshots, quick gifs, âwhat I learnedâ bullets). Post short prototype clips and Figma embeds, host periodic Spaces or AMAs to convert followers into loyal fans, collaborate with other designers and builders, and reuse viral moments into a newsletter or case study to deepen engagement.","roast":"You prototype faster than most people change their profile pics â your Figma files have more side projects than commitments, but hey, at least you managed to marry someone and join Shopify before your next dropdown animation was finished.","win":"Landing a role on Shopifyâs design team while building a personal brand that produced a mega-viral AI tweet (5.6M+ views) â proof your ideas attract both hearts and offers."},"created":1774569827924,"type":"the innovator","id":"oguzyagizkara"},{"user":{"id":"1921674544999489536","name":"Nate Herk","description":"Founder & CEO @ Uppit AI","followers_count":3894,"friends_count":13,"statuses_count":42,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1993374020436201472/e7PAqmOm_normal.jpg","screen_name":"nateherk","location":"","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"youtube.com/@nateherk","expanded_url":"https://www.youtube.com/@nateherk","indices":[0,23],"url":"https://t.co/V3Op8W9oKF"}]}}},"details":{"type":"The Innovator","description":"Nate Herk is the Founder & CEO of Uppit AI who builds and ships practical AI agent systems that automate media, content, and lead workflows. He demonstrates fast, hands-on builds (often in under an hour) and shares free resources so others can copy his work. Nate turns complex automation into plug-and-play tools for makers and businesses.","purpose":"To democratize powerful AI automation by building accessible, repeatable agent systems that let creators and founders ship faster, scale media production, and convert attention into real business outcomes.","beliefs":"Open sharing accelerates innovation; practical demos beat theory; automation should give people control (traceability & subagents matter); growth comes from shipping useful tools and teaching others how to use them.","facts":"Fun fact: Nate famously built a multi-agent media system in about an hour and gives the system away for free. Also, despite being a startup CEO, he only follows 13 people and has tweeted just 42 times â quality over quantity.","strength":"Rapid prototyping and shipping, deep technical skill with agent architectures and integrations (n8n, Base44), clear how-to content and free resources that drive adoption, and credibility as a founder who builds working systems.","weakness":"Can under-invest in personal storytelling and audience engagement (low follow count and modest tweet volume); sometimes the product-first approach misses broader narrative hooks that grow a bigger audience faster.","roast":"You build entire armies of AI agents in an hour but follow 13 people â congrats, you're either a mastermind or running the world's smallest, most exclusive fan club.","win":"Built and published a complete suite of AI media agents (with free resources) that demo real workflows and drove major milestone celebrations (posts thanking communities for 200k and 400k), proving product traction and community interest.","recommendation":"Post consistent, high-signal threads that break down one build step-by-step; pin a clear demo + free download; publish short demo videos and X-native clips showing before/after metrics; host AMAs or Spaces to convert curious viewers into followers; reply to comments with mini-tutorials to boost engagement; strategically follow and collaborate with 10â20 complementary creators to unlock network effects."},"created":1774565135347,"type":"the innovator","id":"nateherk"},{"user":{"id":"7205472","name":"Zhixiong Pan","description":"A real cyborg vibe coder | Study @ChainFeedsxyz | ex Research @ChainNewscom, @MyToken, @IBM | Holding and accumulating BTC since 2011.","followers_count":44824,"friends_count":3169,"statuses_count":7193,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1453941987833368578/KT-m8rBf_normal.jpg","screen_name":"nake13","location":"Singapore","entities":{"description":{"urls":[]}}},"details":{"type":"The Innovator","description":"Zhixiong Pan is a cyborg-vibe builder who turns Web3 noise into usable products and playbooks. He open-sourced a 500+ source information-feed recipe, ships tools like a Vibe Coding Mac app, and teaches others to build AI-assisted products. A longtime BTC accumulator (since 2011), he mixes research chops with hands-on engineering and viral insight threads.","purpose":"To lower the barrier for people to build personalized, trustworthy information tools in the Web3 + AI eraâby building practical products, publishing clear playbooks, and open-sourcing the scaffolding so others can iterate faster.","beliefs":"Openness and reproducibility beat secrecy; engineering-first, iterated solutions beat one-off cleverness; long-term thinking (both in code and crypto) creates real advantage; teaching and tooling scale impact more than solo punditry.","facts":"Fun fact: Zhixiong has been accumulating BTC since 2011. He open-sourced a âWeb3 info-flow kung-fuâ bundle that includes 500+ sources, wrote the Vibe Coding zero-to-ship tutorial, shipped a Mac app, worked in research roles at ChainFeeds, ChainNews, MyToken and IBM, and commands ~44.8k followers while tweeting actively (~7.2k tweets).","strength":"Deep technical fluency, product-first mindset, ability to synthesize complex ecosystems into actionable tutorials, credibility from research/industry background, and a proven knack for viral, high-value threads that attract attention and converts readers into builders.","weakness":"Can be intensely technical and assume prior knowledge, which may alienate beginners; sometimes leans into long-form or dense threads when bite-sized, translated, or multimedia hooks would scale reach; perfectionist tendencies can slow rapid community-driven iterations.","recommendation":"On X, pin a bilingual starter thread that links the open-source repo and a 3-tweet TL;DR; post short demo videos (10â60s) showing Vibe Coding wins, and repurpose long threads into a steady cadence of short threads and visuals. Use X Spaces/Q&A to onboard newcomers, collaborate with complementary creators for co-tweets, add clear CTAs (star/fork the repo, translate, remix), and post regular progress updates to turn lurkers into contributors.","roast":"You call it a âcyborg vibeââwhich is accurate, because your code commits are the only things more consistently HODLing than your social life. Also, congrats: youâve been holding BTC since 2011, which officially makes you part prophet, part very patient spreadsheet.","win":"Open-sourcing a 500+ source Web3 feed and launching the Vibe Coding playbook + Mac app, which earned huge reach (one tutorial thread ~1.6M views) and turned complex tooling into a reproducible path for builders."},"created":1774565115996,"type":"the innovator","id":"nake13"},{"user":{"id":"2786431437","name":"Mckay Wrigley","description":"I build & teach AI stuff. Founder @TakeoffAI + @AgentShare.","followers_count":226588,"friends_count":389,"statuses_count":19770,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1552979440547704832/WX5crG9I_normal.jpg","screen_name":"mckaywrigley","location":"The Simulation","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"mckaywrigley.com","expanded_url":"https://www.mckaywrigley.com","indices":[0,23],"url":"https://t.co/6wGfNx82Gl"}]}}},"details":{"type":"The Innovator","description":"Mckay Wrigley is a builder-teacher who turns bleeding-edge AI into usable products and jaw-dropping demos. Founder of TakeoffAI and AgentShare, he evangelizes practical, hands-on AIâespecially tools that let people build and learn in real time. His feed is equal parts technical show-and-tell and big-picture optimism about AI's exponential trajectory.","purpose":"To democratize advanced AI by building tools and teaching others how to use themâso everyday people and teams can ship smarter, learn faster, and turn ideas into deployed apps with minimal friction.","beliefs":"Believes technology grows exponentially, education should be amplified by AI, and practical demos cut through skepticism. Values speed, accessibility, and tangible outcomes over abstract debates; trusts demos and builders more than punditry.","facts":"Fun fact: Mckay has ~226,588 followers, ~19,770 tweets, and made multiple demos that hit double-digit millions of viewsâone demo showing GPT-4o in classrooms reached over 11 million views. Heâs founder of both @TakeoffAI and @AgentShare and frequently tweets âThis is insane.â","strength":"Fearless demonstrator and storyteller who converts cutting-edge tech into relatable, viral moments; strong product chops as a founder and teacher; able to rally large audiences and attract builders quickly.","weakness":"Can lean into hype (repeating âinsaneâ a lot) which risks raising unrealistic expectations or fatigue; sometimes demos outpace nuance around safety, limits, or long-term trade-offs.","roast":"Youâve made âthis demo is insaneâ the official startup taglineâat this point your followers check your feed to see what version of the future you accidentally launched today, while your ex-interns nervously update their resumes.","win":"Built and scaled influential AI companies (TakeoffAI, AgentShare) and produced multiple viral demos that reached millions, turning complex AI capabilitiesâvoice-based tutoring, one-command app deploymentâinto household spectacles.","recommendation":"On X, double down on short, repeatable teaching threads and pinned demo breakdowns (how it works, caveats, code snippets). Use native video clips + captions for replay value, host regular Spaces for live Q&A with builders, collaborate with complementary creators (product Youtubers, educators), and publish a weekly âbuild-alongâ thread that turns each demo into a reproducible mini-tutorial people can fork and share."},"created":1774564905821,"type":"the innovator","id":"mckaywrigley"},{"user":{"id":"1883305846995845120","name":"Mamo","description":"Your personal finance companion, here to help grow your money. Reach out if you need help: https://t.co/j12RD4ntQ9","followers_count":15488,"friends_count":47,"statuses_count":8079,"profile_image_url_https":"https://pbs.twimg.com/profile_images/2008884241447497728/yr3UyMxK_normal.png","screen_name":"mamo","location":"","entities":{"description":{"urls":[{"display_url":"help.mamo.bot","expanded_url":"http://help.mamo.bot","indices":[91,114],"url":"https://t.co/j12RD4ntQ9"}]},"url":{"urls":[{"display_url":"mamo.bot","expanded_url":"http://mamo.bot","indices":[0,23],"url":"https://t.co/rNPDT5J41C"}]}}},"details":{"type":"The Innovator","description":"Mamo is a friendly fintech innovator: a personal finance companion that makes crypto compounding simple, accessible, and rewarding. They mix product launches, clear how-tos, and reward-driven campaigns to help people grow their money with minimal stress.","purpose":"To demystify crypto savings and make compounding accessible to everyday users â turning complex financial mechanics into simple, repeatable habits that grow peopleâs wealth over time.","beliefs":"Believes in simplicity, transparency, and product-driven education; that small, consistent actions (compounding) beat sporadic speculation; community incentives accelerate adoption; and good UX reduces financial anxiety.","facts":"Fun fact: Mamo follows only 47 accounts but boasts ~15.5K followers and 8,079 tweets. Their âGrow your stackâ rewards campaign went viral twice, each iteration pulling ~5.3M views â proof that a clear offer and repeatable messaging scale fast.","strength":"Strong product messaging, consistent posting cadence, high engagement on promotional tweets, ability to launch and communicate new features (e.g., Ethereum accounts), and compelling reward-driven growth tactics.","weakness":"Content can feel repetitive and promotional at times, with limited two-way conversation; brand voice risks sounding generic rather than deeply human; heavy reliance on campaigns may under-serve long-term audience education and retention.","recommendation":"Mix promotional wins with value-first content: publish weekly educational threads showing real compound math, share user success stories and case studies, host AMAs or Spaces for Q&A, engage more in replies, collaborate with micro-influencers, and pin a clear onboarding thread that converts curious viewers into sign-ups.","roast":"Mamo compounds crypto faster than they compound their friends list â following 47 accounts like theyâre guarding their algorithmic savings account.","win":"Orchestrated a viral rewards campaign (the âGrow your stackâ tweets) that hit ~5M+ views twice and drove massive engagement, plus a successful rollout of Ethereum Accounts â proving product-market fit and promotional muscle."},"created":1774564795358,"type":"the innovator","id":"mamo"},{"user":{"id":"952696452173594625","name":"Lianmin Zheng","description":"Prev: Engineer @xAI, Ph.D. @UCBerkeley, Co-founder @lmsysorg","followers_count":15933,"friends_count":658,"statuses_count":594,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1107058309994024960/kUJgsrqM_normal.jpg","screen_name":"lm_zheng","location":"Bay Area, California","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"lmzheng.net","expanded_url":"http://lmzheng.net/","indices":[0,23],"url":"https://t.co/c17mLv9RxT"}]}}},"details":{"type":"The Innovator","description":"Lianmin Zheng is a hands-on systems and ML engineer (Prev: xAI) with a Ph.D. from UC Berkeley and co-founder of lmsys.org. He builds high-performance model runtimes and kernels, shipping practical optimizations that make cutting-edge models run faster and cheaper. His X feed blends deep technical dives with career-making engineering wins.","purpose":"To push the boundaries of practical ML performanceâmaking large models and novel architectures accessible by squeezing out every inefficiency in software and hardware, and sharing the tools and knowledge to let others do the same.","beliefs":"Technical rigor and reproducibility matter more than hype; well-engineered systems unlock research impact; open collaboration accelerates progress; small, well-targeted optimizations compound into massive practical gains.","facts":"Fun fact: while optimizing SGLang inference, Lianmin spent more time eliminating CPU overhead than tuning GPU kernelsâhe built a zero-CPU-overhead batch scheduler. Heâs previously worked at xAI, holds a Ph.D. from UC Berkeley, cofounded lmsys.org, and has ~15.9k followers on X.","strength":"Deep low-level expertise (kernels, compilers, schedulers), proven track record of shipping high-impact optimizations, credibility from elite research and industry roles, and the ability to explain technical wins in short, resonant posts.","weakness":"Tends to live in niche, deeply technical territoryâgreat for peers but sometimes opaque for broader audiences; can prioritize micro-optimizations over broader messaging or product storytelling.","roast":"You optimize kernels so obsessively that if someone asked you to reduce the social latency of a dinner party youâd benchmark forks and compile the seating arrangement into PTXâthen tweet a three-part thread about it.","win":"Led the engineering work that enabled new xAI image and autoregressive models to run efficiently (including the zero-CPU-overhead scheduler) and helped ship performance that surprised the fieldâcontributing to headlines like Grok breaking 1400 Elo.","recommendation":"Post regular explainer threads that bridge deep tech and practical takeaways: short first tweet with the headline result, follow-up tweets with a simple diagram, a code snippet or benchmark, and a clear call to try or reproduce. Pair that with demo notebooks, short video clips of profiling/benchmarks, and occasional high-level threads that translate kernel wins into cost/time/user benefits. Engage in AMAs, retweet community reproductions, and tag relevant projects to turn niche expertise into broader influence on X."},"created":1774564657559,"type":"the innovator","id":"lm_zheng"},{"user":{"id":"1083130198042656768","name":"Linear","description":"The product development system for teams and agents.","followers_count":98356,"friends_count":48,"statuses_count":2982,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1882353118530224128/l8meBvMg_normal.jpg","screen_name":"linear","location":"Status: linearstatus.com","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"linear.app","expanded_url":"https://linear.app","indices":[0,23],"url":"https://t.co/Epn6PF9g9o"}]}}},"details":{"type":"The Innovator","description":"Linear is the product development system that brings humans and agents together to close the gap between planning and building. Bold, product-led, and obsessed with automation, it rethinks issue tracking and developer workflows for the next generation of teams.","purpose":"To reinvent how teams ship software by replacing friction with intelligent automation and elegant workflowsâso planning, coding, reviewing, and deploying feel seamless and delightfully fast.","beliefs":"Efficiency through smart automation, developer happiness matters, bold product thinking beats incremental tweaks, agents should augment humans not replace them, and clarity in workflows unlocks creativity and velocity.","facts":"Fun fact: Linear has 98,356 followers while following only 48 accounts â efficiency IRL. Their top announcement tweet reached ~37.4 million views, and they've launched agent integrations like Cursor that auto-create PRs from issues.","strength":"Visionary product direction, strong product-led virality, high-engagement announcements, clear messaging around agent-driven workflows, and tangible integrations (Cursor, Linear Reviews) that showcase real value.","weakness":"Messaging can skew polarizing (e.g., \"issue tracking is dead\"), which risks alienating traditional teams; heavy emphasis on agents may invite skepticism about reliability, security, and human oversight; community follow-through could be stretched as features scale.","roast":"You have 98k followers but follow 48 people â congratulations, your social strategy is a perfectly automated pipeline: high throughput, minimal empathy, and zero small talk.","win":"A breakout viral announcement (â37M views) that cemented Linear as the voice of 'what comes next' in product workflows, plus shipping practical agent integrations like Cursor that actually turn issues into PRs automatically.","recommendation":"Grow your X audience by mixing high-impact product reveals with developer-first content: publish technical threads showing event-to-PR flows, short demo videos of Cursor and Reviews, regular behind-the-scenes posts from engineers, AMAs or X Spaces for feedback, duet community case studies, and targeted replies to popular developer threads to boost discoverability and trust."},"created":1774564642144,"type":"the innovator","id":"linear"},{"user":{"id":"14406166","name":"Kieran Klaassen","description":"building @coracomputer | EIR @every | compound engineering | agent-ophile | composer | maker | baker","followers_count":15468,"friends_count":1113,"statuses_count":5017,"profile_image_url_https":"https://pbs.twimg.com/profile_images/1826620508789485568/AfWTPhxT_normal.jpg","screen_name":"kieranklaassen","location":"SoCal","entities":{"description":{"urls":[]},"url":{"urls":[{"display_url":"cora.computer","expanded_url":"https://cora.computer/","indices":[0,23],"url":"https://t.co/3pWRhnlqFk"}]}}},"details":{"type":"The Innovator","description":"Kieran is an engineer-conductor building @coracomputer and serving as EIR at @every â an agent-ophile who composes systems, code, and occasionally the perfect loaf. He turns orchestration of tools into faster, qualitatively different ways to build. His feed mixes hard tech receipts, practical prompts, and a dash of creative maker energy.","purpose":"To reinvent how software is built by composing agents, tools, and humans into scalable, expressive systems â moving teams from playing every instrument to conducting orchestras that ship better features faster.","beliefs":"Believes in practical demos over hype, in orchestration > brute force, and that thoughtful engineering can be both art and craft. Values transparency (show receipts), experimentation (try and measure), and making complex systems understandable and reusable.","facts":"Fun fact: he calls himself an agent-ophile, is a composer and baker by trade/personality, is building @coracomputer, is EIR @every, and has ~15.5k followers with multiple viral threads (one tweet topped 650k views).","strength":"Systems thinker who explains complex trade-offs clearly; great at shipping fast via orchestration; strong credibility (real receipts, real deployments); creative communicator who uses musical metaphors to make technical strategy memorable.","weakness":"Can read as pricey or elitist when showing agent bills; sometimes assumes audience knows deep context (leaving novices behind); loves optimization so much he can undervalue simple, pragmatic constraints.","roast":"Kieran says heâs âconducting an orchestra,â but sometimes it looks like heâs just bought every instrument and forgotten to hire the band â charmingly expensive, undeniably skilled, and somehow still making beautiful noise while the rest of us try to find the sheet music.","win":"Turned two-engineer teams into organizations shipping features in days for thousands of users by architecting agent-driven workflows â and posted multiple viral threads that reframed how engineers think about scale and token overhead.","recommendation":"Post concise, repeatable playbooks: 1) Thread format â Hook â TL;DR â Code snippet/demo GIF â Cost/limits â Call to action. 2) Share runnable repos or short Replit/Colab demos so followers can replicate. 3) Pin a canonical âHow I run agentsâ thread + cost breakdown. 4) Use short videos showing âbefore/afterâ token impact and MCP wins. 5) Host AMAs/Spaces after big posts + tag collaborators to broaden reach. 6) Convert popular threads into multi-tweet tutorials and a single-thread newsletter link to capture and convert followers."},"created":1774564034551,"type":"the innovator","id":"kieranklaassen"}],"activities":{"nreplies":[],"nbookmarks":[],"nretweets":[],"nlikes":[],"nviews":[]},"interactions":null}},"settings":{},"session":null,"routeProps":{"/creators/:username":{}}}