# Zproger/ConceptLoom > A portable learning workflow for the Codex, Claude Code, and OpenCode coding agents: it helps set a goal, find your knowledge frontier, build a dependency map, and check understanding one connection at a time. - Magnitude: 4.1 out of 10 — Early signal - Stars: 70 total · +2 stars measured 2026-10-05, 10:59–12:34 UTC, ≈ 16 by evening - Star trust: star growth looks organic - Category: Learning & lists · Language: JavaScript · License: MIT · Created: 2026-10-01 · Last push: 2026-10-01 - GitHub: https://github.com/Zproger/ConceptLoom · Page: https://gitnova.dev/en/r/Zproger/ConceptLoom ## Useful for - Set up a learning workspace and MCP server for Codex with one setup.mjs command - Learn database transactions up to choosing an isolation level via the $concept-coach skill - Keep Markdown notes between sessions and check understanding with concealed-answer questions ## Why it’s here - Star-counter measurements on 2026-10-05 (UTC), 10:59–12:34: 68 → 70 stars (+2). This is the change over that interval. - Estimated end-of-day forecast: about +16 stars, using observed gains and the previous day. - The repository is 4 days old and already has 70 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet. - About 37 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: 7 - Issues and pull requests: 1 - Watchers: 1 - Average over the last week: 16 per day - Usual pace: too little history (under two weeks) - Stars in the last hour (measured): 0 ## Stars per day, last 9 days (oldest → newest, today is partial) 2026-09-27 … 2026-10-05: 0, 0, 0, 0, 1, 0, 0, 60, 2 ## More in this category 1. **LAMDA-NeSy/Research-Starter-Kit** — 6.6 · Breakout · Learning & lists · +373 stars measured 2026-10-05, 00:06–12:33 UTC, ≈ 720 by evening A guide to the basics of doing research and writing papers for students new to a research group: how to find and read papers, come up with ideas, present, and prepare publications. Full card: https://gitnova.dev/en/r/LAMDA-NeSy/Research-Starter-Kit.md 2. **rohitg00/ai-engineering-from-scratch** — 5.0 · Steady · Learning & lists · Python · +400 stars measured 2026-10-05, 00:07–12:33 UTC, ≈ 766 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 3. **cdyforever/how-to-live-better** — 4.3 · Peaking · Learning & lists · HTML · +265 stars measured 2026-10-05, 00:07–12:34 UTC, ≈ 522 by evening A single-file HTML reading page for the open book "High Cost-Performance Life Guide" — 528 tips across 32 sections, searchable, offline-capable, zero dependencies. Full card: https://gitnova.dev/en/r/cdyforever/how-to-live-better.md 4. **wuyoscar/AISafetyHot-Hub** — 3.9 · Early signal · Learning & lists · TeX · +10 stars measured 2026-10-05, 00:07–12:34 UTC, ≈ 32 by evening A public hub of daily AI safety digests: news, papers and incidents in md/bib/json, plus instructions for connecting it to agents. Free access, no API key required. Full card: https://gitnova.dev/en/r/wuyoscar/AISafetyHot-Hub.md 5. **byoungd/up** — 3.5 · Steady · Learning & lists · JavaScript · +107 stars measured 2026-10-05, 00:08–12:34 UTC, ≈ 208 by evening 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. Full card: https://gitnova.dev/en/r/byoungd/up.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 2026-10-05 12:40 UTC, updated every 30 minutes.