# byoungd/up

> An open book-guide on lifelong learning in the AI era: English, working with AI, real projects, recovering from setbacks. For ordinary people seeking direction.

- Magnitude: 2.6 out of 10 — Steady
- Stars: 69,961 total · +32 stars measured 2026-11-03, 00:34–13:52 UTC, ≈ 57 by evening
- Star trust: star growth looks organic
- Category: Learning & lists · Language: JavaScript · Created: 2017-05-30 · Last push: 2026-10-30
- GitHub: https://github.com/byoungd/up · Homepage: https://byoungd.github.io/up/ · Page: https://gitnova.dev/en/r/byoungd/up

## Useful for

- Create a learning-state sheet with a real problem and a minimal task
- Run a CEFR self-assessment and pick one structure for a 14-day retest
- Plan a 90-day action cycle using the book's template

## Why it’s here

- Star-counter measurements on 2026-11-03 (UTC), 00:34–13:52: 69929 → 69961 stars (+32). This is the change over that interval.
- Estimated end-of-day forecast: about +57 stars, using observed gains and the previous day.
- About 8 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: 6,960
- Issues and pull requests: 188
- Watchers: 988
- Average over the last week: 66 per day
- Usual pace: 108 per day
- Stars in the last hour (measured): 4

## Stars per day, last 30 days (oldest → newest, today is partial)

2026-10-05 … 2026-11-03: 162, 226, 177, 192, 187, 120, 128, 202, 100, 100, 70, 57, 52, 78, 84, 81, 68, 83, 72, 39, 113, 90, 94, 77, 61, 62, 48, 93, 67, 32

## Magnitude by day, last 14 days

10-12 3.4, 10-13 3.4, 10-14 2.9, 10-15 2.9, 10-16 2.7, 10-17 2.4, 10-27 2.8, 10-28 3.2, 10-29 2.9, 10-30 2.8, 10-31 2.5, 11-01 2.5, 11-02 3.0, 11-03 2.8

## More in this category

1. **patchy631/ai-engineering-hub** — 5.9 · Breakout · Learning & lists · Jupyter Notebook · +74 stars measured 2026-11-03, 00:30–13:47 UTC, ≈ 165 by evening
   A collection of 90+ tutorial projects on LLMs, RAG and AI agents, ranging from simple OCR apps to production systems with MCP and multi-agent workflows.
   Full card: https://gitnova.dev/en/r/patchy631/ai-engineering-hub.md
2. **public-apis/public-apis** — 5.1 · Steady · Learning & lists · Python · +219 stars measured 2026-11-03, 00:31–13:47 UTC, ≈ 415 by evening
   A community-curated list of free public APIs across dozens of categories, from animals and anime to finance, geocoding and weather. Aimed at developers looking for a ready-made API for a prototype or product.
   Full card: https://gitnova.dev/en/r/public-apis/public-apis.md
3. **smithjohn78390/tongjiang-lab** — 4.9 · Cooling · Learning & lists · HTML · +61 stars measured 2026-11-03, 00:31–13:48 UTC, ≈ 109 by evening
   Free interactive 3D science lessons for high school physics, chemistry, biology and geography: 55 lessons, each a single self-contained HTML file that works offline.
   Full card: https://gitnova.dev/en/r/smithjohn78390/tongjiang-lab.md
4. **DeanChensj/jiangshan-map** — 4.8 · Breakout · Learning & lists · JavaScript · +267 stars measured 2026-11-03, 00:31–13:48 UTC, ≈ 465 by evening
   An interactive historical atlas of China from 403 BCE to the present, with 18 dynasties, 164 territory snapshots, place-name genealogy, and poetry routes, designed for history and classical poetry enthusiasts.
   Full card: https://gitnova.dev/en/r/DeanChensj/jiangshan-map.md
5. **jyotipmahes/ML-Interview-Prep** — 4.6 · Early signal · Learning & lists · Jupyter Notebook · +42 stars measured 2026-11-03, 00:31–13:48 UTC, ≈ 75 by evening
   A Jupyter notebook collection with from-scratch implementations of core ML interview algorithms, including linear/logistic regression, K-Means, KNN, MLP, LayerNorm, self-attention, LoRA, and BPE, with math formulations and tests.
   Full card: https://gitnova.dev/en/r/jyotipmahes/ML-Interview-Prep.md

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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 2026-11-03 14:05 UTC, updated every 30 minutes.