Vocabulary — Spaced Repetition Study App
Azizxon Bahodirov
Vocabulary is my open-source word trainer built with Next.js and TypeScript. Its core decision is to schedule recognition and recall separately: knowing a word when you see it does not mean you can produce it from memory.
The task
Build a review workflow that treats those two skills independently rather than giving a word one shared progress score.
Implementation
Each word has two independently scored SM-2 review tracks. A repository interface separates the learning logic from word storage. The published implementation uses Notion for word data and Prisma/PostgreSQL for streak data.
Pronunciation uses browser speech playback through the Web Speech API, avoiding a separate paid text-to-speech service.
My role
I defined the product and learning workflow, directed implementation with Claude Code, and review and maintain the codebase. This is a personal product developed with AI assistance.
Result
The project demonstrates a complete learning interface, review scheduling and a storage boundary that can be changed without rewriting the learning flow. The source is public for inspecting the implementation.
Vocabulary interface on desktop and mobile.
Word trainer home and review interface.
Like this project
Posted Sep 13, 2026
Vocabulary trainer with two independent spaced-repetition tracks — recognizing a word and producing it are different skills, different curves.
