# yibie/awesome-rea

> A curated list of AI-assisted reverse engineering projects: decompilation, static recompilation, native ports and agent tooling. Each entry states how the project defines correctness.

- Magnitude: 2.3 out of 10 — Early signal
- Stars: 101 total · +1 star measured 2026-10-19, 00:06–01:32 UTC, ≈ 21 by evening
- Star trust: star growth looks organic
- Category: Learning & lists · Language: Python · Created: 2026-10-13 · Last push: 2026-10-18
- GitHub: https://github.com/yibie/awesome-rea · Page: https://gitnova.dev/en/r/yibie/awesome-rea

## Useful for

- Check how game decompilation projects verify correctness via byte comparison against the original ROM
- Find tooling and MCP servers for AI-assisted reverse engineering
- Study practice discussions and post-mortems on real outcomes of AI game ports

## Why it’s here

- Star-counter measurements on 2026-10-19 (UTC), 00:06–01:32: 100 → 101 stars (+1). This is the change over that interval.
- Estimated end-of-day forecast: about +21 stars, using observed gains and the previous day.
- The repository is 6 days old and already has 101 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #188.

## 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: 5
- Issues and pull requests: 0
- Watchers: 0
- Average over the last week: 17 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 1

## Stars per day, last 7 days (oldest → newest, today is partial)

2026-10-13 … 2026-10-19: 14, 24, 12, 14, 14, 22, 1

## Spotted in now

- Top new repositories this week: #188

## More in this category

1. **xiaoyang111222/cn-math-taxonomy** — 7.1 · Early signal · Learning & lists · JavaScript · +29 stars measured 2026-10-19, 00:05–01:29 UTC, ≈ 370 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
2. **Domainsun/awesome-chinese-secondhand-slang** — 5.6 · Early signal · Learning & lists · +16 stars measured 2026-10-19, 00:07–01:29 UTC, ≈ 150 by evening
   An open dictionary of Chinese secondhand-marketplace slang (Xianyu, Zhuanzhuan, Xiaohongshu): 4,569+ variants, seller subtext explanations and buyer inspection tips. Helps spot tricks and choose safe wording in listings.
   Full card: https://gitnova.dev/en/r/Domainsun/awesome-chinese-secondhand-slang.md
3. **withmarbleapp/os-taxonomy** — 5.5 · Breakout · Learning & lists · JavaScript · +18 stars measured 2026-10-19, 00:05–01:29 UTC, ≈ 259 by evening
   An open taxonomy of primary-school learning micro-topics: 1,590 concepts wired into a prerequisite graph and aligned to national curriculum standards (NGSS, Common Core, UK NC). Pure JSON data, no runtime.
   Full card: https://gitnova.dev/en/r/withmarbleapp/os-taxonomy.md
4. **mlabonne/llm-course** — 5.5 · Breakout · Learning & lists · +36 stars measured 2026-10-19, 00:06–01:29 UTC, ≈ 337 by evening
   Free course on large language models with roadmaps and Colab notebooks, covering math and neural networks through training, quantization, and deploying LLM applications.
   Full card: https://gitnova.dev/en/r/mlabonne/llm-course.md
5. **showheyohtaki/motion-prompt** — 5.0 · Early signal · Learning & lists · JavaScript · +4 stars measured 2026-10-19, 00:06–01:29 UTC, ≈ 80 by evening
   A library of names for motion-graphics moves, camera moves, UI components, web effects and photo looks, each with a moving sample and an example prompt. Helps you name what you want an AI to make.
   Full card: https://gitnova.dev/en/r/showheyohtaki/motion-prompt.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 2026-10-19 01:39 UTC, updated every 30 minutes.