# 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.

Repository: https://github.com/baturyilmaz/wordpecker-app
Canonical: https://ross.abutalabs.com/products/wordpecker-app
Homepage: https://wordpeckerapp.com
Language: TypeScript
License: MIT
License Family: permissive
Last push: 2025-08-08T11:44:40+00:00

## Health v2 (maintenance only)
Score: 36/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 35, release rhythm 35, longevity 42
- inputs: {"age_days": 590, "days_push": 390, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2229, forks 225 (observed 2026-08-28T04:06:28.815900+00:00)

## What it is
WordPecker is a personalized language-learning web application that combines Duolingo-style lessons with user-curated vocabulary lists. It uses LLMs to generate definitions, translations, example sentences, related word suggestions, and interactive quizzes from words collected while reading books, articles, or watching videos.

## Use cases
- build vocabulary lists from books and articles
- learn a new language with personalized lessons
- practice vocabulary with interactive quizzes
- get AI-generated definitions and translations for words
- chat with an AI language tutor
- track vocabulary mastery progress

## When to choose
- you want vocabulary practice built around words you actually encounter in daily life
- you prefer self-hosted, open-source alternatives to generic flashcard apps
- you want AI-generated context, synonyms, and example sentences for your word lists

## When to avoid
- you need a full structured language course covering grammar and speaking from scratch
- you want an offline-only tool without LLM API dependencies
- you need a mature mobile app - the mobile version is still in beta testing

## Facets
- artifact type: application
- maturity: active
- function: llm-inference, chatbot, rag
- domain: education, large-language-models, web-development
- platform: cross-platform
- tags: language-learning, vocabulary-builder, duolingo-style, ai-tutor, spaced-repetition, quiz-app, typescript, natural-language-processing, web-server, docker, nodejs

## Member repositories
- baturyilmaz/wordpecker-app (main) score 36

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:28.815900+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:44:40.367188+00:00, confidence not recorded.
  - readme: https://github.com/baturyilmaz/wordpecker-app (fetched 2026-08-28T04:06:28.815900+00:00, sha 76b9fd48ab6a)
  - homepage: https://wordpeckerapp.com (fetched 2026-08-29T10:25:15.729792+00:00, sha af046d1c2853)
- Data as of 2026-08-30T08:39:29.467469+00:00.