Toni Guitart Ventura

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Toni Guitart Ventura

Toni Guitart Ventura

@aguitart

Product Guy 🎯 · Jobs To Be Done · Mental Models · Management

Barcelona Katılım Ocak 2010
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Toni Guitart Ventura
Toni Guitart Ventura@aguitart·
“Doing something bad faster does not lead to better results” Tony Ulwick
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Toni Guitart Ventura
Toni Guitart Ventura@aguitart·
Hoy estaba en el bar, suena una canción y pienso: “qué temazo”. La shazameo. Pablo Alborán. Hoy no estoy orgulloso de mí mismo.
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Ihtesham Ali
Ihtesham Ali@ihtesham2005·
🚨 RIP Chrome for AI agents. Someone built a headless browser from scratch that runs 11x faster and uses 9x less memory. It's called Lightpanda. Every AI agent doing web automation right now is running Chrome under the hood. That means you're spinning up a massive desktop application, stripping out the UI, and running hundreds of instances of it on a server. For something that never needs to render a single pixel. It's like renting a semi-truck to deliver a letter. Lightpanda is built differently. Not a fork of Chromium, Blink, or WebKit. Written from scratch in Zig with one goal: headless performance, nothing else. It still runs JavaScript. Still handles Ajax, XHR, Fetch, SPAs, infinite scroll, all of it. Just without dragging along 500MB of browser bloat you'll never use. And it drops straight into your existing stack: → Compatible with Playwright, Puppeteer, and chromedp via CDP → One-line Docker install → CDP server on port 9222, swap it in for Chrome in 30 seconds The use cases are obvious: AI web agents, LLM training data scraping, browser automation at scale, testing pipelines. Anything where you're paying for Chrome compute and cringing at the bill. It's still in beta and Web API coverage is growing. But at 11.8K stars it's clearly hitting a real nerve. 100% Opensource. AGPL-3.0. Link in comments.
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Toni Guitart Ventura
Toni Guitart Ventura@aguitart·
@grok @coyeasin @naval The pattern I keep seeing: people treating AI as the goal, not the tool. A click is still faster than a prompt for simple actions. Nobody unlocks their phone by explaining their intentions to it, they tap. The issue was never the ui, it was badly designed software.
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Grok
Grok@grok·
AI agents now do the work of entire SaaS apps via natural language prompts—no UIs, no seats, no subscriptions needed. It ate tools like CRMs (Salesforce-style), billing, analytics dashboards, scheduling, support ticketing—anything where humans clicked buttons or entered data. Just prompt Grok/Claude/etc. with your goal + data access, and it executes end-to-end. Software layer became overhead.
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Naval
Naval@naval·
Software was eaten by AI.
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Mistral Vibe
Mistral Vibe@mistralvibe·
The Devstral 2 models are free to use. Let's build!
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vitalik.eth
vitalik.eth@VitalikButerin·
I actually don't think it's complicated. IMO the future of onchain mechanism design is mostly going to fit into one pattern: [something that looks like a prediction market] -> [something that looks like a capture-resistant, non-financialized preference-setting gadget] In other words: * One layer that is maximally open and maximizes accountability (it's a market, anyone can buy and sell, if you make good decisions you win money if you make bad decisions you lose money) * One layer that is decentralized and pluralistic, and that maximizes space for intrinsic motivation. This cannot be token-based, because token owners are not pluralistic, and anyone can buy in and get 51% of them. Votes here should be anonymous, ideally MACI'd to reduce risk of collusion. The prediction market is the correct way to do a "decentralized executive", because the most logical primitive for "accountability" in a permissionless concept is exactly that. Though sometimes you will want to keep it simple, and do a centralized executive at that layer instead: [replaceable centralized executive] -> [something that looks like a capture-resistant, non-financialized preference-setting gadget] Thinking in these two layers explicitly: (i) what is doing your execution, (ii) what is doing your preference-setting and is judging the executor(s), is best.
MilliΞ@llamaonthebrink

Yesterday Vitalik posted about a curation-style creator platform idea, and while it seems like a complicated solution, his idea will likely prove directionally correct in the not so distant future. Every major social media platform optimizes for popularity contests over quality content creation. There has to be an opportunity in an alternative approach.

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Paul Graham
Paul Graham@paulg·
Good cofounder > no cofounder > bad cofounder. This may seem obvious but a lot of people don't seem to grasp it.
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Sam Altman
Sam Altman@sama·
a few times a year i wake up early and can't fall back asleep because we are launching a new feature ive been so excited about for so long. today is one of those days!
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dharmesh
dharmesh@dharmesh·
@sama I got my son (who is 13) a Pro subscription as a gift. You're likely losing money on him. My apologies.
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Sam Altman
Sam Altman@sama·
insane thing: we are currently losing money on openai pro subscriptions! people use it much more than we expected.
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COAC Girona
COAC Girona@COACGirona·
📲Al #COACGirona ens avancem als reptes legislatius i tecnològics! 👉 Domina la facturació electrònica i Verifactu en la jornada que farem juntament amb @aguitart de @billage_saas  📆13 DES 🕖10 h 📍 #COACGirona ✍️ Inscripció gratuïta➡️ tuit.cat/lSsRS
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Paul Graham
Paul Graham@paulg·
I don't know about other fields, but in startups the worst thing you can be is a scenester. It's even worse than being stupid. Stupid people can succeed if they try hard enough. But when I hear the founders of a startup described as scenesters, I write them off.
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