# smithjohn78390/tongjiang-lab

> 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.

- Magnitude: 5.9 out of 10 — Early signal
- Stars: 179 total · +61 stars measured 2026-10-28, 09:13–10:40 UTC, ≈ 94 by evening
- Star trust: star growth looks organic
- Category: Learning & lists · Language: HTML · Created: 2026-10-28 · Last push: 2026-10-28
- GitHub: https://github.com/smithjohn78390/tongjiang-lab · Homepage: https://lab.tongjiang.app · Page: https://gitnova.dev/en/r/smithjohn78390/tongjiang-lab

## Useful for

- Open a lesson on a projector or whiteboard without internet
- Embed a lesson into a school site or LMS via iframe
- Walk through a lesson's steps following the PEP 2019 textbook

## Why it’s here

- Star-counter measurements on 2026-10-28 (UTC), 09:13–10:40: 118 → 179 stars (+61). This is the change over that interval.
- Estimated end-of-day forecast: about +94 stars, using observed gains and the previous day.
- The repository is 0 days old and already has 179 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #109.
- 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: 46
- Issues and pull requests: 8
- Watchers: 1
- Average over the last week: 94 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 42

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

2026-10-28 … 2026-10-28: 61

## Spotted in now

- Top new repositories this week: #109

## More in this category

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   A desktop app that uses AI agents to plan and teach lessons from your current understanding to a goal, tracking progress in a persistent knowledge graph.
   Full card: https://gitnova.dev/en/r/amosblomqvist/learnharness.md
2. **designfuchen/word-atlas** — 7.1 · Peaking · Learning & lists · TypeScript · +442 stars measured 2026-10-28, 00:01–10:40 UTC, ≈ 929 by evening
   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.
   Full card: https://gitnova.dev/en/r/designfuchen/word-atlas.md
3. **blakeandersonw/ai-app-playbook** — 6.5 · Early signal · Learning & lists · TypeScript · +117 stars measured 2026-10-28, 00:02–10:40 UTC, ≈ 260 by evening
   A playbook for building and monetizing AI-powered mobile and web apps, covering niche selection, stack choices, costs, and distribution, with an AGENTS.md file for coding agents.
   Full card: https://gitnova.dev/en/r/blakeandersonw/ai-app-playbook.md
4. **agharsallah/esp-labs-web** — 5.0 · Early signal · Learning & lists · TypeScript · +42 stars measured 2026-10-28, 00:02–10:40 UTC, ≈ 102 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. **xiaoyang111222/cn-math-taxonomy** — 4.9 · Peaking · Learning & lists · Python · +399 stars measured 2026-10-28, 00:03–10:40 UTC, ≈ 759 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

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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 2026-10-28 10:52 UTC, updated every 30 minutes.