Melanys

let me explain the importance of this an engineer solved a problem that’s been plaguing the Internet for 3 decades every website you’ve ever used relies on a text layout system from the 1990s the browser loads a font, measures text, figures out where lines break, and positions everything vertically every step depends on the previous one… every step forces the browser to pause and recalculate you’ve felt this problem plenty times before even if you didn’t know what caused it: → Slack’s scroll jumping when message heights are wrong → Google Docs getting slow on long documents because every keystroke recalculates everything below your cursor → AI chat apps getting janky when streaming because each new token can cause a line wrap that shifts the entire page same root cause every damn time. text measurement is locked inside the browser’s DOM… it’s slow… and there’s been no alternative… for 30 damn years Pretext bypasses all of it: → pure TypeScript text measurement… no DOM… no CSS… no browser reflow → you give it text, a font, and a width... it returns exact line breaks, widths, and heights… using pure math → around 500x faster in many cases than the standard approach → supports every language including mixed bidirectional text, CJK, Japanese, Korean, Arabic, and emojis → the engine is 15 kilobytes → built and validated by running Claude Code and Codex against browser ground truth for weeks the demos are wild: → hundreds of thousands of text boxes virtualized at 120fps with no DOM measurement → shrinkwrapped chat bubbles with zero wasted pixels… something CSS literally cannot do → responsive multi-column magazine layouts that reflow dynamically → variable font ASCII art over the years, developers moved rendering to Canvas… scrolling to custom implementations… positioning to JS but text was the one thing you couldn’t move out of the browser… it was the last piece locked inside the DOM with no alternative now we have a solution this was built by Cheng Lou… one of the foundational developers behind React, Facebook Messenger, and Midjourney. he’s not just anyone… lol if you build anything on the web, this now changes what’s literally possible this unlocks new UI patterns, layouts, interfaces, and experiences like we’ve never seen before go look at the demos in the quote posts it’s open source. npm install @chenglou/pretext insane these are all running in a browser​​​​​​ the future of design is still to come

Distribution is your moat. Can’t stop thinking about this.

Never chase people. People can only meet you as deeply as they’ve met themselves. If they haven’t done the inner work, if they don’t understand their own emotions and patterns they won’t be able to understand yours either. So you end up over-explaining. Over-giving. And that’s exhausting. Connection is built by alignment. When someone just gets you naturally. When they don't need to be convinced of your worth. Stand where you are. And be who you are. Some will get you and some won't. And it’s okay.

Sixteen years ago, one man stood alone on a grassy hill at a music festival in Washington State, USA, and started dancing by himself. People glanced over and looked away. Some laughed. His roommate leaned in and warned him people were filming him. He did not stop. Then one stranger got up and joined him. Then another. Then the hillside tipped. Within minutes, hundreds of people were sprinting from across the field to be part of something that, thirty seconds earlier, had been one man being laughed at in a field. Someone filming from higher up the hill said quietly: "See what one man can do. One man can change the world." The clip spread across the internet in 2009. Entrepreneur Derek Sivers played it at a TED conference to explain how movements actually begin. Not with the first person brave enough to start, he argued, but with the first person willing to join them. Collin Wynter, the man dancing alone, later said he had no idea he had done anything special. He was just tired of watching everyone sit still.

the internet made knowledge free and focus expensive

I urge you to make your skills self-improving right now

@IterIntellectus 🇨🇺❤️

cubans are waking up and you're blackpilling?!

The world is a museum of passion projects

Most people think using Claude Code is about writing better prompts. It’s not. The real unlock is structuring your repository so Claude can think like an engineer. If your repo is messy, Claude behaves like a chatbot. If your repo is structured, Claude behaves like a developer living inside your codebase. Your project only needs 4 things: • the why → what the system does • the map → where things live • the rules → what’s allowed / forbidden • the workflows → how work gets done I call this: The Anatomy of a Claude Code Project 👇 ━━━━━━━━━━━━━━━ 1️⃣ CLAUDE.md = Repo Memory (Keep it Short) This file is the north star for Claude. Not a massive document. Just three things: • Purpose → why the system exists • Repo map → how the project is structured • Rules + commands → how Claude should operate If CLAUDE.md becomes too long, the model starts missing critical signals. Clarity beats size. ━━━━━━━━━━━━━━━ 2️⃣ .claude/skills/ = Reusable Expert Modes Stop repeating instructions in prompts. Turn common workflows into reusable skills. Examples: • code review checklist • refactoring playbook • debugging workflow • release procedures Now Claude can switch into specialized modes instantly. Result: More consistent outputs across sessions and teammates. ━━━━━━━━━━━━━━━ 3️⃣ .claude/hooks/ = Guardrails Models forget. Hooks don’t. Use hooks for things that must always happen automatically. Examples: • run formatters after edits • trigger tests after core changes • block sensitive directories (auth, billing, migrations) Hooks turn AI workflows into reliable engineering systems. ━━━━━━━━━━━━━━━ 4️⃣ docs/ = Progressive Context Don’t overload prompts with information. Instead, let Claude navigate your documentation. Examples: • architecture overview • ADRs (engineering decisions) • operational runbooks Claude doesn’t need everything in memory. It just needs to know where truth lives. ━━━━━━━━━━━━━━━ 5️⃣ Local CLAUDE.md for Critical Modules Some areas of your system have hidden complexity. Add local context files there. Example: src/auth/CLAUDE.md src/persistence/CLAUDE.md infra/CLAUDE.md Now Claude understands the danger zones exactly when it works in them. This dramatically reduces mistakes. ━━━━━━━━━━━━━━━ Here’s the shift most people miss: Prompting is temporary. Structure is permanent. Once your repository is designed for AI: Claude stops acting like a chatbot... …and starts behaving like a project-native engineer. 🚀

Nobody ever regretted starting too small, only starting too late.

Data analysts right now:

This is Cuba now. Cubans and Venezuelans are some of the only people on Earth who really truly understand Iranians, and vice versa. Freedom inspires freedom. May all our countries be liberated this year.

Naval Ravikant explained why obsession beats talent:

do you understand what this means? > idea hits while you're out. > you pull out your phone. > claude code spawns on your laptop at home. starts building. > you keep living your life. > your computer is working while you're not at it. we're not going back.

learning AI skills so that i can stay ahead in a changing world

Do you understand what just happened? The man who told you LLMs aren't real intelligence just raised $1 billion to build what he thinks IS. > @ylecun said "The AI we have right now, Every single one of them are glorified autocomplete" and he said this for 2 years straight > The entire internet called him a boomer > AI fans ratio'd him basically every week > He didn't argue back > He just raised a billion dollars and started building He launched AMI Labs, Advanced Machine Intelligence to build something called world models. AI that actually understands reality, not just predicts the next word and hopes it sounds right. Will he reach AGI first? Here's why he might, everyone else is trying to brute-force intelligence by feeding more text into bigger models. LeCun is building AI the way humans actually learn. A baby doesn't learn physics by reading a textbook. It drops a cup and watches it fall. That's what world models do and that's a different species of AI entirely. The actual future just got funded. And it looks nothing like what you've been paying for.