Matt Moore

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Matt Moore

Matt Moore

@matthewcmoore

Designed things at Uber and Lime. Working on a new AI health platform. Leave it better than you found it.

Redwood City, Calif. Beigetreten Aralık 2008
1.3K Folgt1.7K Follower
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Matt Moore
Matt Moore@matthewcmoore·
Designing for AI. Starting this ongoing thread so you can learn with me 👇
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Matt Moore
Matt Moore@matthewcmoore·
Pushing my “Duolingo for fitness” app to the App Store. Somehow haven’t used Figma *once* up til now with a dozen or so users on it.
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Jason ✨👾SaaStr.Ai✨ Lemkin
Much of traditional SaaS is dying / in likely terminal decay … Yet so many of the hottest, fastest-growing AI companies are B2B plays. SaaS really, but Agentic SaaS. It actually truly is ironic. LLMs are available to everyone as simple APIs. The incumbents >should< be winning. For now, they are not. Here’s why … not:
Jason ✨👾SaaStr.Ai✨ Lemkin@jasonlk

x.com/i/article/2038…

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clem 🤗
clem 🤗@ClementDelangue·
After @Pinterest @Airbnb @NotionHQ @cursor_ai, today it’s @eoghan @intercom publicly sharing that they’re finding it better, cheaper, faster to use and train open models themselves rather than use APIs for many tasks. And hundreds of other companies are doing the same without sharing. Ultimately, I believe the majority of AI workflows will be in-house based on open-source (vs API). It took much more time than we anticipated but it’s happening now!
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Matt Moore
Matt Moore@matthewcmoore·
@RickRubin ever thought of recording songs/albums with bands the music industry kind of failed? So many under realized talents over the years
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Del
Del@TheCartelDel·
I'm gonna be more like Ryan Coogler. Never seen that guy complain about anything, or get annoyed about anything. Dude just locks in, works hard, uplifts his people, makes cool stuff, and thanks his wife.
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Matt Moore
Matt Moore@matthewcmoore·
@Legal_Fil @CodyRobbins Are there any American public transit systems that don’t have this problem? Might be an American thing more than anything.
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Ethan Minton
Ethan Minton@ETrainSports·
The Sacramento Kings are quietly crafting the best front court in the NBA. Maxime Raynaud leads all rookies in double doubles & is a solid passer. Dylan Cardwell is a league leader in blocks per 36 minutes. And if they draft Cam Boozer… the league will be put on notice.
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Matt Moore
Matt Moore@matthewcmoore·
@Dan_Jeffries1 We shouldn’t diminish the bad/toxic experience some had, but for nearly all of who worked at Uber in those days, it was the best experience of our careers. We’ve all been chasing the dragon ever since. Glad TK is getting back out there
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Daniel Jeffries
Daniel Jeffries@Dan_Jeffries1·
I remember reading the beginning of the book Super Pumped, where the author was clearly trying to frame the stories about early Uber and Travis as horrible and toxic and all I could think was "what a fucking badass." Threw that book in the trash. Long live builders. Fuck our modern culture of haters and whiners and fear mongers.
klöss@kloss_xyz

imagine you’re Travis Kalanick you built Uber from nothing into a $70 billion company and changed how every city on earth moves then in the worst three weeks of your life, family tragedies hit, and five of your investors hand you a letter demanding you resign so you step down the board replaces you, your successor and board sell off the self driving division you created, the thing you believed was Uber’s entire future gone $4 billion to Aurora the mainstream media tries to write your obituary: toxic culture, bad leadership, and a cautionary tale silicon valley moves on as they always do but you don’t you don’t really forget you go quiet, completely quiet you take $150 million and buy a ghost kitchen company called CloudKitchens you raise over a billion dollars, hit a $15 billion valuation, build a company with thousands of employees and nobody even knows the name eight years in stealth, employees aren’t even allowed to put your company on their LinkedIn then today you rename the company Atoms, and it’s not a kitchen company anymore it’s a robotics company 1. food 2. mining 3. transport your first move? acquiring Pronto the autonomous vehicle startup built by Anthony Levandowski, the same engineer you originally swooped away from Google to build Uber’s self driving program oh and he went on to deploy 100+ autonomous trucks for one of the largest materials companies on earth now he’s coming back to work with you and the reports say Uber itself the same company that pushed you out, is now backing you to go after self driving harder than Waymo the guy they removed is the guy they end up needing poetic justice your framework aka everything in civilization is mined or grown, manufactured and moved you call it the golden age your manifesto ends with three words: “I never left” eight years of silence then this but here’s what people keep getting wrong about your situation everyone wants to call it a comeback or a revenge story it’s neither you just went quiet and built for eight years while everyone who wrote you off had stopped paying attention that’s not revenge, that’s just what true builder obsession looks like most founders would’ve stayed bitter most would’ve written a book and done a podcast tour, most would’ve taken the $2.5 billion in shares and disappeared off to a beach or Epstein’s island you didn’t do any of that you just kept building and now the same people who pushed you out need you again so whether you love him or hate him the most dangerous person in any room is the one who goes quiet yet never stops building karma is real welcome back Travis

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Matt Moore
Matt Moore@matthewcmoore·
@travisk The days of jugaad too. The best is ahead.
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Matt Moore
Matt Moore@matthewcmoore·
100% agree with this but it’s not just startup employees Schools should teach students on how to use AI to extend themselves
Cody Schneider@codyschneider

I believe this more than anything right now the most effective startup employees will have custom agents and personal software they bring to their jobs and these people will become 100x employees how I see this working: personally, the way I operate now is simple basically whatever I’m working on, I’m trying to automate parts of it in the background while I work on it I’m either building agents that can take over the task as it comes up or building software that eliminates it entirely and this stack of software slowly becomes an extension of m every week it gets a extended, refined, and more capable of doing the things I don’t want to do or the things I shouldn’t be wasting time on over time, it stops feeling like “tools” and starts feeling like infrastructure a personal backend a private ops team a swarm of specialized agents that quietly remove friction from everything I touch and once you start working like this, it’s impossible to go back you start seeing every repetitive action, every manual process, every annoying workflow as a bug not in the company’s system but in your system if you fix 3–5 of these bugs every week, you wake up a few months later with: - your own automations - your own research agents - your own monitoring systems - your own custom interfaces - your own intelligence layer sitting on top of your job it’s compounding leverage and I think that’s where the 100x employee comes from not from raw talent not from hustle but from the quiet accumulation of self-augmenting tools that raise your ceiling until you’re operating on an entirely different curve most people will still be “doing work.” a few will be architecting systems that do their work for them those people win those people become irreplaceable those people become their own force multipliers companies that recognize this and empower it will end up hiring individuals who effectively show up with their own internal R&D department in their github repo we’re entering the era of the 1000x startup employee and it’s going to change everything

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Todd Saunders
Todd Saunders@toddsaunders·
The token cost to build a production feature is now lower than the meeting cost to discuss building that feature. Let me rephrase. It is literally cheaper to build the thing and see if it works than to have a 30 minute planning meeting about whether you should build it. It’s wild when you think about it. This completely inverts how you should run a software organization. The planning layer becomes the bottleneck because the building layer is essentially free. The cost of code has dropped to essentially 0. The rational response is to eliminate planning for anything that can be tested empirically. Don’t debate whether a feature will work. Just build it in 2 hours, measure it with a group of customers, and then decide to kill or keep it. I saw a startup operating this way and their build velocity is up 20x. Decision quality is up because every decision is informed by a real prototype, not a slide deck and an expensive meeting. We went from “move fast and break things” to “move fast and build everything.” The planning industrial complex is dead. Thank god.
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Matt Moore
Matt Moore@matthewcmoore·
@nicoup Keep in mind that Cursor did this with Composer and no one talks about that model. It’s all Opus and GPT still
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Matt Moore
Matt Moore@matthewcmoore·
I’d agree, but they’ll fail because of the bitter lesson. Anthropic sure seems like they’ll be building the vertical agent harness rails. Imagine Claude Cowork with the ability to choose your profession and the all the skills and tools load in for you. Orgs can customize the set. Wins.
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yoni rechtman
yoni rechtman@yrechtman·
Growing suspicion that there are vanishingly few use cases for consumer agents. People don’t do work in their personal lives. The only people who do are sf dorks using spreadsheets to plan trips to tahoe
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Rory O'Driscoll
Rory O'Driscoll@rodriscoll·
Intelligence, generated by foundation models like Claude, will infuse all software over the next decade. That’s a given. The question is how it gets to the enterprise. There are five (non-exclusive) paths for this to happen. Enterprises can: 1. Buy directly from the foundation models (the models “just work”) 2. Build it for themselves on top of foundation models (AI for proprietary advantage) 3. Buy from new companies, founded post-2022, built on top of foundation models 4. Buy from existing software vendors who integrate AI into existing apps 5. Buy the outcome from a full-stack, AI-enabled provider (AI lawyer, etc) Options one or two imply the death of all the non-foundation model application software business (“aka software is dead”). Option three implies all pre-2022 application software is dead or at best legacy (“SaaSpocalypse”). Option four says you buy the WCLD index at 8x EBITDA, and option five has you planning AI-enabled roll-ups. Figuring out, market by market, how this plays out and why is where the venture alpha is for the next five years. Hint: answers will vary for reasons that in retrospect will be obvious, and the pace of adoption will differ significantly by market.
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Matt Moore
Matt Moore@matthewcmoore·
@nikitabier some feedback: - for years I used mobile web exclusively so I’d have control over my Twitter/x experience and be able to return to the content I wanted to see - been using the app more, but there are two persisting issues: 1. On app load, always lose my state. The content I was in progress of looking at is gone. Worst is if I want to see something on load, which is then refreshed and lost forever. Product/design is largely about how you want people to feel. My experience is often pissed at the start. 2. This is more painful with articles. Shit is long! I have intent to keep reading, but the app forces single sessions for thousands of words. Now I just share to the browser to get around feeling frustrated. I’m sure I’m in the minority, but fixing this stuff would make the app experience so much better for some of us
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