# ywEdAi/teachable-figures > An agent skill that turns a lesson claim into an interactive figure where learners predict, change a cause, and explain the effect. Ships with rendering kits, reviewed examples, and browser checks. - Magnitude: 5.2 out of 10 — Early signal - Stars: 206 total · +5 stars measured 2026-11-01, 11:01–14:29 UTC, ≈ 30 by evening - Star trust: star growth looks organic - Category: Learning & lists · Language: JavaScript · Created: 2026-10-27 · Last push: 2026-10-28 - GitHub: https://github.com/ywEdAi/teachable-figures · Homepage: https://ywedai.github.io/teachable-figures/ · Page: https://gitnova.dev/en/r/ywEdAi/teachable-figures ## Useful for - Build a standalone HTML figure for a gear-ratio lesson with prediction and reset controls - Generate a 3D cutaway figure to show how an idler gear changes direction but not speed ratio - Verify a generated figure in the browser before sharing it with learners ## Why it’s here - Star-counter measurements on 2026-11-01 (UTC), 11:01–14:29: 201 → 206 stars (+5). This is the change over that interval. - Estimated end-of-day forecast: about +30 stars, using observed gains and the previous day. - The repository is 5 days old and already has 206 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - Top new repositories this week: #166. - About 15 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: 28 - Issues and pull requests: 0 - Watchers: 0 - Average over the last week: 38 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 2 - Latest release: v0.3.0 (2026-10-28) ## Stars per day, last 6 days (oldest → newest, today is partial) 2026-10-27 … 2026-11-01: 0, 0, 0, 44, 155, 5 ## Spotted in now - Top new repositories this week: #166 ## More in this category 1. **patchy631/ai-engineering-hub** — 7.8 · Breakout · Learning & lists · Jupyter Notebook · +190 stars measured 2026-11-01, 11:01–14:28 UTC, ≈ 416 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. **bregman-arie/devops-exercises** — 7.2 · Breakout · Learning & lists · Python · +306 stars measured 2026-11-01, 00:02–14:28 UTC, ≈ 523 by evening A collection of over 2600 questions and exercises on DevOps, SRE and related topics: Linux, networking, Kubernetes, cloud, CI/CD, databases and more. Intended for interview preparation and knowledge checks. Full card: https://gitnova.dev/en/r/bregman-arie/devops-exercises.md 3. **wanghao-SunSky/cs329z-chinese** — 6.4 · Early signal · Learning & lists · HTML · +126 stars measured 2026-11-01, 00:02–14:28 UTC, ≈ 205 by evening Chinese study guide for Stanford CS329Z Engineering AI Agents: 19 lessons and 4 hands-on exercises covering LLMs, RAG, tool calling, memory, multi-agent systems, evaluation and safety, with Markdown sources and an offline HTML reader. Full card: https://gitnova.dev/en/r/wanghao-SunSky/cs329z-chinese.md 4. **nathanliow/atlas-of-physics** — 5.5 · Early signal · Learning & lists · JavaScript · +71 stars measured 2026-11-01, 00:02–14:29 UTC, ≈ 113 by evening An interactive 3D textbook for AP Physics 1 and AP Physics C: each chapter is one motion drawn in 3D like a textbook diagram, with vectors, graphs and click-to-break-down parts. Full card: https://gitnova.dev/en/r/nathanliow/atlas-of-physics.md 5. **designfuchen/word-atlas** — 5.2 · Cooling · Learning & lists · TypeScript · +118 stars measured 2026-11-01, 00:02–14:29 UTC, ≈ 190 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 --- 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 2026-11-01 14:39 UTC, updated every 30 minutes.