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hnrss.org · 2026-04-17 04:19:13+08:00 · tech

Early in my career I worked on DataLab, the sister site to USASpending.gov before it got merged into it. I then worked on USASpending a bit. Datalab had more of a "for the people" storytelling vibe to it which I liked a lot more and I feel that spirit got lost when we "merged" into USASpending. I built The Public Tab in response to this feeling. My core idea: The district you are in is a more relatable measure of analysis for federal spending for the average person. You want to know what is going on around you. You can more easily "follow the money" this way. I have a pipeline that runs nightly/weekly with data digest from USASpending, SAM.gov, and some other big players in the space. You can subscribe to changes and get updates daily/weekly on spending in your district. You can map that to lobbying, new contracts that pop up, as well as what your rep is voting on. The client libraries are written in ruby and are open source here: https://github.com/govapi-rb You can also check out the API Docs here: https://thepublictab.com/docs/api It is deemed "beta" for now.. I'd love any feedback and to hear what is cool and what is not. Thanks! Comments URL: https://news.ycombinator.com/item?id=47798958 Points: 1 # Comments: 4

hnrss.org · 2026-04-14 15:46:52+08:00 · tech

Over the holidays I went looking for a reading app for my 4-year-old daughter. The top app in this space charges $500/month. Since that's a bit much to pay for an app, I figured I could vibe code something better in a few days, so I tried. The app uses DISTAR phonics, which is a method from the 60s by Siegfried Engelmann. The core idea is simple: teach sounds before letter names, then blend sounds into words, then words into sentences. There's a specific sequence that builds on itself. On top of that I added spaced repetition, same algorithm as Anki. Cards come back at increasing intervals depending on how well the kid does. This keeps sessions short, maybe 5-10 minutes, and the retention is noticeably better than just drilling the same set of cards every day. Each card has an AI-generated illustration and spoken audio. All 721 cards are pre-generated and bundled with the app. Nothing calls an API. The whole thing works offline. What's in it: 721 cards (letters, digraphs, words, sentences), speech recognition for pronunciation practice, no account, no data collection, no ads. Source is on GitHub. She's been using it for a bit more than 3 months now, roughly 10 minutes a day. She can now recognize phonetic patterns in words and read simple books in English. No monetization, no data tracking whatsoever. Also available for free on the App Store (if you don't want to deal with the hassle of compiling the app from source): https://apps.apple.com/us/app/early-reader-preschool/id67571... Comments URL: https://news.ycombinator.com/item?id=47762556 Points: 1 # Comments: 0

hnrss.org · 2026-04-14 00:56:21+08:00 · tech

I’ve been building Aurora, an early-stage browser engine in Rust. It currently implements a minimal end-to-end pipeline: parsing a narrow HTML subset, building a DOM tree, parsing CSS from style tags, computing basic styles, deriving a simple block layout tree, and painting the result into a small text framebuffer. It also includes basic HTTP/HTTPS fetching with redirect support. JavaScript execution is integrated using the Boa JavaScript engine. This is still early, but simple scripts do run. Rendering is done on the GPU from scratch using wgpu and Vello, without relying on Skia. The renderer uses a single atlas and a simple pipeline for batching and rasterization. The goal is not to build a full browser, but to understand and implement the core pieces of the pipeline in a small and explicit way. Next steps are improving tokenization, expanding CSS support, making layout less primitive, and continuing work on the GPU rendering path. Current render snapshot : https://imgur.com/a/NtbgR5i Comments URL: https://news.ycombinator.com/item?id=47754869 Points: 3 # Comments: 1

hnrss.org · 2026-04-13 22:33:51+08:00 · tech

I posted an early version here for my daily paper-folding hole-punching puzzle 3 weeks ago. Since then, I’ve added two major features based on the feedback that it was "too easy". Expert Mode: A timed, harder version of the spatial folding logic. Global Leaderboards: Real-time rankings for the daily expert puzzle. Tech: Built with Next.js. Puzzles are still deterministic and generated on the fly. I’d love to see some of you on the leaderboard today. Comments URL: https://news.ycombinator.com/item?id=47752592 Points: 1 # Comments: 0