Jorge Marfil

Day 1 of vibe coding my AI App to $1,000,000 ARR. -> Current ARR: $34,227 <- No polished highlights. Just the raw build, bugs, decisions, and progress. I’ll keep posting every session until it hits $1M ARR.

@Validate_QA what are you talking about?

@jorgemarfil_dev 34k ARR and shipping in public... what's your test coverage look like rn? the ARR chart goes one direction until a silent break ships and you find out from a churn spike

Day 1 of vibe coding my AI App to $1,000,000 ARR. -> Current ARR: $34,227 <- No polished highlights. Just the raw build, bugs, decisions, and progress. I’ll keep posting every session until it hits $1M ARR.

🚨 Anthropic just showed a 27-minute workshop on how to actually do prompts for Claude. Taught by the people who built it. Free. No registration. No paywall. I've seen $300 courses that don't cover what they teach in the first 8 minutes. Watch it and bookmark it now.

Hey Builders, Share your App.

> be random guy on the internet > makes decisions purely on vibes > misses a few massive opportunities in crypto > wonders why his life keeps looking random > stumbles on a weird article about probability theory > realizes every decision has expected value > realizes markets are just Bayesian machines > realizes most “genius trades” are survivorship bias > realizes most people size bets completely wrong > realizes he’s been playing the game with no math at all > opens Polymarket > starts thinking in probabilities instead of opinions > suddenly the world looks like one giant EV calculator Turns out most life outcomes are just probability problems people never bothered to model: > career decisions > investments > relationships > risk All of it is just EV + Bayes + Kelly. > the crazy part? None of this math is complicated. > you can literally learn the models in this article > use AI to help you apply them > and completely upgrade how you think in a few months But most people will keep making decisions the same way: > vibes > emotions > scrolling Twitter > one lucky success story And then wonder why nothing compounds.

be honest: is Claude Code making your team genuinely faster or just changing where the bottleneck is?

Why hasn’t Claude released an image or video generation model yet?

unpopular opinion: AI coding tools are still bad at ______

hot take: the hardest part of AI coding in teams isn’t coding it’s ______

looking for small dev teams building heavily with AI Claude Code, Cursor, Codex, agents, whatever drop what you’re building

teams building software with Claude Code: what still takes way longer than it should?

engineers using Claude Code at work what’s the most annoying gap between “AI wrote the code” and “this is ready to merge”?

@Carlos__Ybn @midudev buena pregunta🤣

@midudev Cual de todos esos es muy bueno para programar?

5 modelos chinos brutales de calidad/precio. ⑤ GLM 5.2 ④ Kimi K2.7 Code ③ Qwen3.7 Plus ② MiniMax M3 ① DeepSeek V4 Pro No todo es OpenAI y Anthropic.

engineering teams using Claude Code heavily what’s the one part of your dev workflow that still feels messy? PRs, tests, context, reviews, CI, architecture, anything

AI builders using Claude Code / Cursor / Codex what part of building with AI is still way more annoying than it should be?

AI builders: what are you building right now? I’m open-sourcing 200+ AI-first UI components on July 1. drop your product below ↓

This 1-hour Stanford lecture covers more about the tech behind Claude than most $1,000 AI bootcamps. It answers the exact questions they’ll ask you in an AI product or engineering interview: why can Claude see images but only reply with text? why does making the model “smarter” at reading make it better at generating output? what is the “MoT” architecture that lets Claude learn vision without losing logic? why is physical-world interaction still the hardest problem to solve? Someone who understands this framework doesn’t just use Claude — they can explain how it’s built. Save this before your next interview.

serious question guys open-source 200+ AI-first UI components or charge startups building AI products plz help

1 July. First AI-first UI library goes ope-source.

Introducing AI UI Library — open-source components for AI-first products 80+ components for AI products, apps, agents, workflows, dashboards, and more fully customizable free / open-source when I started building AI products, I kept rebuilding the same components over and over again chat interfaces, agent flows, prompt boxes, dashboards, workflows, onboarding, file uploads, settings, and more unfortunately, there wasn’t a UI library made specifically for AI-first products with the speed and polish I wanted so I built my own it was only meant to speed up my own workflow, but I realized it could help a lot of startups build AI products much faster it’s useful for building AI apps, agents, workflows, dashboards, internal tools, and user-facing products we need to progress faster Should I make all 80+ components free? Created with Claude Fable 5.