KoreanParticles
The one-stop reference for Korean particles
What it does
KoreanParticles is a focused learning tool that explains Korean grammar particles clearly and in one place. Each particle has its own page with short, practical explanations and real usage examples, so learners can finally understand when and why to use them. The project is currently in open beta, with 20 particles available for free for a limited time.
Does a similar job
all alternatives →
- KRKimchi Reader – Immersive Korean Learning with a Popup Dictionary2023 · kimchi-reader.app · ▲115
Actually, it is yet another tool to learn a language through immersion (classic set of features, watch on youtube/netflix, read a website or book). It has a popup dictionary so you can click on a word and it will show the definition. Nothing new in that regard, except that it has been made with only Korean in mind and does not plan to extends to other languages. I was learning and still am learning Korean (now using my own tool to learn!). I initially made the tool for myself because none of the tools out there could correctly figure out what a word was in the text. And that's where the…
- HAHan – A Korean programming language written in RustMar 2026 · github.com · ▲208
A few weeks ago I saw a post about someone converting an entire C++ codebase to Rust using AI in under two weeks. That inspired me — if AI can rewrite a whole language stack that fast, I wanted to try building a programming language from scratch with AI assistance. I've also been noticing growing global interest in Korean language and culture, and I wondered: what would a programming language look like if every keyword was in Hangul (the Korean writing system)? Han is the result. It's a statically-typed language written in Rust with a full compiler pipeline (lexer → parser → AST →…
- HOHyperparam: OSS tools for exploring datasets locally in the browser2025 · hyperparam.app · ▲77
For the last year I’ve been developing Hyperparam — a collection of small, fast, dependency-free open-source libraries designed for data scientists and ML engineers to actually look at their data. - Hyparquet: Read any Parquet file in browser/node.js - Icebird: Explore Iceberg tables without needing Spark/Presto - HighTable: Virtual scrolling of millions of rows - Hyparquet-Writer: Export Parquet easily from JS - Hyllama: Read llama.cpp .gguf LLM metadata efficiently CLI for viewing local files: npx hyperparam dataset.parquet Example dataset on Hugging Face Space:…
More ai this month
the category →
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 · 18d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 19d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
