HOLDER:DEV

Re: The three pillars of JavaScript bloat I really think writing dependency-free JavaScript is the way to go nowadays. The standard library in JS/CSS is great. So are static analysis (TypeScript can check JSDoc), imports (ES modules), UI (web components), etc. People keep telling me the approach I am taking won't scale or will be hard to maintain, yet my experience has been that things stay simple and easy to change in a way I haven't experienced in dependency-heavy projects. auxiliarymoose, 19 hours ago

Re: I put all 8,642 Spanish laws in Git – every reform is a commit I built a pipeline that converts all Spanish state legislation into version-controlled Markdown. Each law is a file, each reform is a real git commit with the historical date. 8,642 laws, 27,866 commits. The idea: legislation is just patches on patches on patches. Git already solves this. Instead of reading "strike paragraph 3 and replace with...", you get an actual diff. The repo is the product. Browse any law, git log to see its full reform history, git diff to see exactly what changed. Built the pipeline in ~4 hours with Claude Code. Source is BOE (Spain's official gazette) consolidated legislation API. Exploring whether there's a business here — structured legislation API for legaltech/compliance, or just a useful open dataset. Curious what HN would build with this data. enriquelop, 4 hours ago

Re: The AI Aesthetic > There are other aesthetics my brain associates with AI, like beige/cream colors, orange accents, and serif typefaces Something to consider regarding the narrow space AI-created designs align on: LLMs are trained to write consistent code. This makes sense for something like a billing or a backend function - you want that code to be consistent. The problem though is that LLMs write code to represent designs as well, which means you get consistent designs. You end up aligning on a generic mean because of it, which is often why you see these repeated aesthetics. It was something I saw when I was working on AI tooling over at Figma. It was very hard to get creative, unique outputs out of LLMs. One thing I'd recommend if you're trying to avoid this is try a diffusion model as a starting point. Gpt-image-2 is a VERY capable designer, and Opus and Fable are fantastic at converting images to webpages. Starting with images will let you sidestep a lot of the uniformity of output that LLMs have. I'm heavily biased here as this is what I left figma to build (https://news.ycombinator.com/item?id=48995754), but even starting with gpt-image-2 to give you a general sense of the look/feel will heavily differentiate you on the design front. Here are some examples of image->webpage outputs I've been playing with: https://html.non.io/tarot/ https://html.non.io/neonRamen/ jjcm, 2 days ago

https://twitter.com/dankulkov/status/2088543384680218732?s=46&t=2esyJhzQGyRy9lJUnbrFvw https://video.twimg.com/amplify_video/2088538104525430784/vid/avc1/1920x1080/CIZObU-aVeyWpq6t.mp4

деньги бесплатно https://frankfurter.dev/ никакого больше openexchangerates