Annyeong-Korean
Modular React and Vite starter kit for Korean language apps
What it does
Complete React, Vite & TypeScript source code for Annyeong-Korean. Includes: Clean, modular frontend architecture (100% offline-ready, no backend required) Alphabet, flashcards, grammar, reading practice, and 2,500+ vocabulary words across 25 categories with conjugation Audio pronunciation support & responsive layout Setup README & Standard Commercial License to build and monetize your own apps
Complete, modular source code for Annyeong-Korean, a modern language learning web application built with React, Vite, and TypeScript. What’s Included: Full frontend application codebase (clean, modular architecture) Hardcoded alphabet, vocabulary, flashcards, grammar, and reading practice, and phrases. (100% offline-ready, no backend/database setup required). The vocabulary section has 25 categori
Does the same job
all alternatives →More dev tools this month
the category →



Open-source GTM skills for technical founders
Dev tools · 29d ago · gtmcofounder.com

OpenTrailPaper is open-source bike computer firmware for the LilyGO T5S3 4.7" E-Paper PRO. It supports offline maps, GPX routes, FIT recording and Bluetooth sensors.
Dev tools · 1d ago · opentrailpaper.com

Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com