# alextnetto/res

> A Claude Code agent skill that studies a SaaS product through a browser and produces a knowledge base for rebuilding it: screens, rules, data model, API shapes and design tokens.

- Magnitude: 4.8 out of 10 — Early signal
- Stars: 121 total · +12 stars measured 2026-10-20, 12:25–15:39 UTC, ≈ 26 by evening
- Star trust: star growth looks organic
- Category: AI agents · Language: JavaScript · License: MIT · Created: 2026-10-15 · Last push: 2026-10-17
- GitHub: https://github.com/alextnetto/res · Homepage: https://alextnetto.github.io/res/examples/pipedrive/REPORT.html · Page: https://gitnova.dev/en/r/alextnetto/res

## Useful for

- Study a SaaS product on a trial account to assemble a rebuild handoff zip
- Generate REPORT.html with screens, business rules and launch barriers for a clone
- Run check-kb to validate an existing reverse-engineering knowledge base

## Why it’s here

- Star-counter measurements on 2026-10-20 (UTC), 12:25–15:39: 109 → 121 stars (+12). This is the change over that interval.
- Estimated end-of-day forecast: about +26 stars, using observed gains and the previous day.
- The repository is 5 days old and already has 121 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #190.
- About 18 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: 24
- Issues and pull requests: 14
- Watchers: 2
- Average over the last week: 21 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 7
- Latest release: v0.4.0 (2026-10-17)

## Stars per day, last 6 days (oldest → newest, today is partial)

2026-10-15 … 2026-10-20: 0, 0, 0, 11, 90, 12

## Spotted in now

- Top new repositories this week: #190

## More in this category

1. **google-research/harness2** — 9.7 · Breakout · AI agents · Python · +2,610 stars measured 2026-10-20, 00:22–15:37 UTC, ≈ 4,028 by evening
   A framework for recursive optimization of AI agent harnesses (prompts, tools, memory, skills) without fine-tuning model weights, with JobBench, LAB and WorkBuddy-Bench benchmarks.
   Full card: https://gitnova.dev/en/r/google-research/harness2.md
2. **MadsLorentzen/ai-job-search** — 9.3 · Breakout · AI agents · Python · +2,443 stars measured 2026-10-20, 00:22–15:37 UTC, ≈ 3,717 by evening
   A job application framework built on Claude Code: evaluates postings, tailors CVs, and writes cover letters. Runs locally, focused on the Danish job market.
   Full card: https://gitnova.dev/en/r/MadsLorentzen/ai-job-search.md
3. **anomalyco/opencode** — 7.9 · Breakout · AI agents · TypeScript · +788 stars measured 2026-10-20, 00:22–15:37 UTC, ≈ 1,196 by evening
   Open source AI coding agent with terminal and desktop interfaces. Ships with a build agent (full edit and command access) and a read-only plan agent for code analysis.
   Full card: https://gitnova.dev/en/r/anomalyco/opencode.md
4. **JoasASantos/REA-Prompts** — 7.7 · Early signal · AI agents · +528 stars measured 2026-10-20, 05:55–15:38 UTC, ≈ 725 by evening
   A curated collection of prompts for using REA (Reverse Engineer Anything) with AI coding agents to inspect binaries, firmware, kernels, games, APKs, Electron apps and websites. Covers installation, feature tracing, cloning, vulnerability…
   Full card: https://gitnova.dev/en/r/JoasASantos/REA-Prompts.md
5. **xerj-org/xerj** — 7.3 · Breakout · AI agents · Rust · +1,192 stars measured 2026-10-20, 00:22–15:37 UTC, ≈ 1,833 by evening
   A local Rust search engine that auto-indexes folders of code, docs, logs and PDFs so AI agents retrieve exact passages instead of reading whole files. Elasticsearch-compatible and cuts token usage for agents.
   Full card: https://gitnova.dev/en/r/xerj-org/xerj.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 2026-10-20 15:55 UTC, updated every 30 minutes.