baturyilmaz/wordpecker-app
A personalized language-learning tool that combines Duolingo-style lessons with your own curated vocabulary lists. Seamlessly add words from books, articles, or videos, and revisit them through interactive quizzes and LLM-generated lessons.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
The project lists 4 contributors on GitHub.
Gained 5% fewer stars in the last 90 days than in the 90 days before.
Use Cases & Benefits
- Provides a personalized language-learning platform combining Duolingo-style lessons with user-curated vocabulary lists and interactive quizzes.
- Enables natural vocabulary discovery and contextual learning by integrating LLM-generated content, voice chat, and image-based word suggestions.
- Use for expanding vocabulary effortlessly through AI-powered word discovery based on user interests and difficulty levels.
- Use for focused learners who want to create and master custom context-aware word lists with detailed word exploration and practice.
- Use for practicing pronunciation and conversational skills via real-time voice interactions with an AI language tutor.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
Watch-outs
- Warning: No commits in over a year (last push Aug 2025).
- No GitHub releases; pin a commit or tag instead of a release.
General guidance from repository metadata, not legal advice. How we score
From the README
Every word has a story.
A personalized language-learning app that brings the magic of Duolingo-style lessons to your own curated vocabulary lists and contexts.
We’ve started developing the mobile version of our web project 🚀 Right now, we’re in the beta testing phase and looking for testers to try the app and share their feedback.
If you ’d like to become a tester: 📩 Send an email to [[email protected]] with the subject "Tester Application".
Your name / username
A short note about yourself
Your feedback will help us make the app even better 💡 Thank you for your support! ❤️
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
Forks
231+9
Open issues
11+1
Compared with peers in LLM
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| thedotmack/claude-mem | 113.6K | +8.8K | 35 | today |
| NVIDIA/auto-ontology | 7.5K | +5.6K | 37 | — |
| HKUDS/DeepTutor | 55.5K | +5.5K | 65 | 5 days ago |
| affaan-m/ECC | 297.9K | +5.2K | 63 | 35 days ago |
| DietrichGebert/ponytail | 185.3K | +5.1K | 60 | 7 days ago |
| baturyilmaz/wordpecker-app | 2.3K | — | 7 | — |
| Category median | 113.6K | +5.5K | 60 | — |
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