QuShiZi
Chinese stroke order and Hanzi lookup
What it does
QuShiZi helps Chinese learners look up Hanzi, see animated stroke order, check pinyin, and practice characters with less friction. It is useful for beginners, heritage learners, and anyone who wants a faster way to understand how Chinese characters are written.
Does the same job
all alternatives →- HGHanzi.gg – Wordle-inspired Chinese character guessing game2022 · hanzi.gg · ▲13
Tap on a character to reveal the strokes, radicals and components it has in common with the character you're trying to guess. This was designed mainly for learners but I'm curious to hear from fluent hanzi readers whether the game is too easy. The vocabulary is from the Chinese Vocab List project [1]. Character graphics and data are sourced from Make me a Hanzi [2]. There are 95 pre generated games at the moment which are randomly chosen, more will be added soon. Suggestions welcome! [1] https://github.com/kerrickstaley/Chinese-Vocab-List [2]…
- AAAn “automatic” way to learn Chinese2018 · play.google.com · ▲57
- LCLearning Chinese and Japanese with graphs and trees2024 · github.com · ▲9
Just for fun, I built a language learning tool. It represents Chinese and Japanese as graphs of characters, with connections indicating given characters can form a word. It can also decompose characters to give clues on how they're pronounced, analyzes words to understand which ones are commonly used together, and more. It's fully interactive, supports offline use, generates flashcards, has sentences from humans and from AI, and plenty of other features. Check out the README for details. https://github.com/mreichhoff/HanziGraph
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Launched alongside, May 2026
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Dev tools · May 2026 · kilo.ai
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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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Dev tools · May 2026 · github.com