alextnetto/res
Agent skill to reverse engineer a SaaS product through the browser into a knowledge base for rebuilding it: screens, rules, data model, design tokens and production barriers, without touching production data.
Latest metrics (snapshot 2026-10-28)
| stars | 221 |
|---|---|
| forks | 54 |
| issues | 10 |
| pushed_at | 2026-10-17T18:20:42Z |
History
| Date | GitHub stars |
|---|---|
| 2026-10-28 | 221 |
| 2026-10-27 | 215 |
| 2026-10-26 | 211 |
| 2026-10-25 | 205 |
| 2026-10-24 | 200 |
| 2026-10-23 | 189 |
| 2026-10-22 | 173 |
| 2026-10-21 | 149 |
ADC Momentum: 60/100 (-2 since previous day)
| Growth velocity | 62 |
|---|---|
| Consistency | 100 |
| Recency | 60 |
| Agent demand | 0 |
| Basis | archive |
ADC Momentum (0-100) = 45% growth velocity (stars/likes gained per day in our daily archive, relative and absolute, percentile-ranked within the category) + 20% consistency (share of recent days with growth) + 20% recency (latest push/update/release, decaying) + 15% agent demand (how often AI agents looked it up via our API/MCP this week). MCP servers use release cadence; LLMs use price cuts, context and recency. Recomputed daily; scores marked "bootstrap" use lifetime rates until the archive has enough days. Method
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[](https://agentdataco.com/repo/alextnetto/res)<a href="https://agentdataco.com/repo/alextnetto/res"><img src="https://agentdataco.com/badge/repo/alextnetto/res.svg" alt="ADC Momentum"></a>Details
| description | Agent skill to reverse engineer a SaaS product through the browser into a knowledge base for rebuilding it: screens, rules, data model, design tokens and production barriers, without touching production data. |
|---|---|
| url | https://github.com/alextnetto/res |
| language | JavaScript |
| license | MIT |
| topics | agent-skills ai-agents browser-automation claude-code knowledge-base reverse-engineering saas |
| created_at | 2026-10-15T15:48:07Z |
| homepage | https://alextnetto.github.io/res/examples/pipedrive/REPORT.html |
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