shanjie
善解：以選對同音字為第一優先的開源 macOS 注音輸入法（開發中）
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GITHUB · launched Nov 8, 2026 · 27 upvotes (top 80%) · 0 views
Niche: input method editors · 31 launches, 2 in the last 7 days ▼ -71% · Explore this niche →
Category and tags
- Horizontal
- B2C
- Not AI
- Hobby / open-source project
- bopomofo
- ime
- input-method
- language-model
- macos
- rust
- +4 more
Visit website ↗ Source listing ↗
More like this: all 31 launches in input method editors →
Could you build this?
Partial The macOS input method shell (Input Method Kit, candidate UI, and the Swift app) is vibe-codeable. The sentence-level homophone selection depends on a trained small language model and a curated lexicon with measured accuracy, which needs NLP expertise and data.
What it would actually take: A Swift InputMethodKit app with a candidate window, an on-device pinyin/zhuyin-to-character decoder, and a small language model (possibly quantized and run through Core ML or MLX) to rank homophone sentences. The hard parts are the training corpus and lexicon for Traditional Chinese Zhuyin, plus the evaluation pipeline behind the accuracy numbers. That takes NLP and data engineering, along with macOS input-method internals.
Competitors
Other products that read as similar to this one : 1132 launches clear the similarity bar, closest 8 shown.
Attention rank: #921 of 1133 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 373 days after the earliest competitor.
- hannyeong · github · 2026-10-19 · 15 upvotes · similarity 0.64
- snake · github · 2026-09-11 · 28 upvotes · similarity 0.63
- MijiaLAN · github · 2026-11-02 · 83 upvotes · similarity 0.61
- gksdud · github · 2026-09-16 · 44 upvotes · similarity 0.58
- aime · github · 2026-10-01 · 116 upvotes · similarity 0.56
- macOS-SysPulse · github · 2026-11-08 · 10 upvotes · similarity 0.55
- SunPet · github · 2026-10-22 · 17 upvotes · similarity 0.54
- donyhome · github · 2026-10-14 · 9 upvotes · similarity 0.53
The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.