# amosblomqvist/learnharness

> 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.

- Magnitude: 7.4 out of 10 — Breakout
- Stars: 1,796 total · +29 stars measured 2026-10-26, 05:01–06:22 UTC, ≈ 385 by evening
- Star trust: star growth looks organic
- Category: Learning & lists · Language: TypeScript · License: AGPL-3.0 · Created: 2026-10-16 · Last push: 2026-10-26
- GitHub: https://github.com/amosblomqvist/learnharness · Homepage: learnharness.ai · Page: https://gitnova.dev/en/r/amosblomqvist/learnharness

## Useful for

- Build a step-by-step lesson plan from what you already understand to a target skill.
- Practice with varied problems that adapt to your reasoning and confidence.
- Import your notes into a knowledge graph that carries across sessions.

## Why it’s here

- Star-counter measurements on 2026-10-26 (UTC), 05:01–06:22: 1767 → 1796 stars (+29). This is the change over that interval.
- Estimated end-of-day forecast: about +385 stars, using observed gains and the previous day.
- Over the last two days the pace is 13× that of the previous 8 days.
- The repository is 10 days old and already has 1,796 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this month: #96.
- About 149 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: 318
- Issues and pull requests: 161
- Watchers: 10
- Average over the last week: 310 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 21
- Latest release: v0.3.7 (2026-10-25)

## Stars per day, last 11 days (oldest → newest, today is partial)

2026-10-16 … 2026-10-26: 1, 4, 4, 6, 3, 2, 7, 289, 852, 634, 29

## Spotted in now

- Top new repositories this month: #96

## More in this category

1. **designfuchen/word-atlas** — 8.4 · Early signal · Learning & lists · TypeScript · +489 stars measured 2026-10-26, 00:11–06:22 UTC, ≈ 1,340 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
2. **luongnv89/claude-howto** — 6.2 · Breakout · Learning & lists · Python · +77 stars measured 2026-10-26, 00:11–06:22 UTC, ≈ 341 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
3. **agharsallah/esp-labs-web** — 5.1 · Early signal · Learning & lists · TypeScript · +22 stars measured 2026-10-26, 00:12–06:23 UTC, ≈ 90 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
4. **xiaoyang111222/cn-math-taxonomy** — 4.7 · Peaking · Learning & lists · Python · +161 stars measured 2026-10-26, 00:11–06:23 UTC, ≈ 524 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
5. **rohitg00/ai-engineering-from-scratch** — 4.5 · Steady · Learning & lists · Python · +122 stars measured 2026-10-26, 00:12–06:23 UTC, ≈ 499 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

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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 2026-10-26 06:33 UTC, updated every 30 minutes.