# designfuchen/word-atlas

> A free, open-source PWA for memorizing 7,298 IELTS words, each with an original illustration, UK/US audio and example sentences, using FSRS spaced repetition with no login. The dataset is CC BY 4.0.

- Magnitude: 6.5 out of 10 — Early signal
- Stars: 277 total · +133 stars measured 2026-10-25, 15:52–17:54 UTC, ≈ 167 by evening
- Star trust: star growth looks organic
- Category: Learning & lists · Language: TypeScript · Created: 2026-10-25 · Last push: 2026-10-25
- GitHub: https://github.com/designfuchen/word-atlas · Homepage: https://0xlei.tech/words/ · Page: https://gitnova.dev/en/r/designfuchen/word-atlas

## Useful for

- Study IELTS vocabulary offline with spaced-repetition flashcards on a phone or laptop.
- Import word-atlas.csv into Anki or Excel to build a custom deck.
- Filter data/word-atlas.json by CEFR level and topic to assemble a test set for NLP or language-learning experiments.

## Why it’s here

- Star-counter measurements on 2026-10-25 (UTC), 15:52–17:54: 144 → 277 stars (+133). This is the change over that interval.
- Estimated end-of-day forecast: about +167 stars, using observed gains and the previous day.
- The repository is 0 days old and already has 277 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #73.
- About 280 forks a day — people are taking the code.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 74
- Issues and pull requests: 0
- Watchers: 0
- Average over the last week: 167 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 61

## Stars per day, last 1 day (oldest → newest, today is partial)

2026-10-25 … 2026-10-25: 133

## Spotted in now

- Top new repositories this week: #73

## More in this category

1. **luongnv89/claude-howto** — 7.1 · Breakout · Learning & lists · Python · +417 stars measured 2026-10-25, 00:09–17:54 UTC, ≈ 566 by evening
   A visual, example-driven guide to Claude Code with copy-paste templates: from basic commands to agents, hooks, skills, and MCP servers. Provides a structured learning path from beginner to power user.
   Full card: https://gitnova.dev/en/r/luongnv89/claude-howto.md
2. **xiaoyang111222/cn-math-taxonomy** — 6.7 · Peaking · Learning & lists · Python · +435 stars measured 2026-10-25, 00:09–17:54 UTC, ≈ 576 by evening
   Knowledge graph for Chinese middle-school math (grades 7–9): 315 topic nodes with 616 prerequisite edges, mapping to the 2022 curriculum standards, plus a 1407-question diagnostic bank. An AI-generated draft not yet reviewed by teachers.
   Full card: https://gitnova.dev/en/r/xiaoyang111222/cn-math-taxonomy.md
3. **jbiaojerry/ebook-treasure-chest** — 6.0 · Breakout · Learning & lists · Python · +455 stars measured 2026-10-25, 00:10–17:54 UTC, ≈ 611 by evening
   A collection of ebook download links from Chinese reading apps (帆书, 微信读书, 京东读书, 喜马拉雅) in epub, mobi and azw3 formats, with online search by title, author and tags.
   Full card: https://gitnova.dev/en/r/jbiaojerry/ebook-treasure-chest.md
4. **agharsallah/esp-labs-web** — 5.8 · Early signal · Learning & lists · TypeScript · +121 stars measured 2026-10-25, 00:11–17:54 UTC, ≈ 162 by evening
   An interactive web guide to the ESP32-S3: 32 hands-on labs with in-browser simulators, a live pinout, a 3D board and a line-by-line reader for the esp-labs firmware. Available in 8 languages, including Arabic (RTL).
   Full card: https://gitnova.dev/en/r/agharsallah/esp-labs-web.md
5. **rohitg00/ai-engineering-from-scratch** — 4.5 · Steady · Learning & lists · Python · +381 stars measured 2026-10-25, 00:10–17:54 UTC, ≈ 512 by evening
   Open-source AI engineering curriculum: 523 lessons across 20 phases (~342 hours) in Python, TypeScript, Rust and Julia, where every lesson ships a reusable artifact such as a prompt, skill, agent or MCP server.
   Full card: https://gitnova.dev/en/r/rohitg00/ai-engineering-from-scratch.md

---

Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-10-25 17:55 UTC, updated every 30 minutes.