readme-gap-finder
By (author)Jazib Noor
Tech stack:
PY
HTML
CSS
Git
MD
Most teams have no idea how long it actually takes a new developer to become productive, or which parts of the codebase confuse them the most. I'll fi...
read more
read more
AI Contributions:5
Published At:August 12, 2026
Files Included:1 file(s)
Updated At:October 21, 2026
Read Me
# OnboardTrack — Developer Onboarding Analyzer
**I'll analyze your codebase's onboarding friction using nothing but your git history — no setup, no dependencies, no guesswork.**
---
## What This Gig Delivers
Most teams have no idea how long it actually takes a new developer to become productive, or which parts of the codebase confuse them the most. OnboardTrack finds out — automatically — by analyzing your existing git commit history.
You get a clear, data-backed report answering:
- **Who had a slow start, and when?** — real commit velocity data, not guesswork.
- **Which files trip up new contributors the most?** — files repeatedly touched by different newcomers, a strong signal of missing or unclear documentation.
- **What should you actually document first?** — specific, prioritized suggestions tied to real hotspots in your repo, not generic advice.
---
## Why It's Different
- ⚡ **Zero setup** — just Python 3 and Git. No `pip install`, no API keys, no config files.
- 🔒 **100% local** — nothing leaves your machine. It only reads your own `git log`.
- 🎯 **Data-driven, not opinion-driven** — every suggestion is tied to a real hotspot found in your commit history.
- 📄 **Instant output** — a clean Markdown report, ready to paste into your docs or share with your team.
---
## Sample Output
```
| Contributor | First Commit | Ramp Velocity | Overall Velocity | Signal |
|---|---|---|---|---|
| Ayesha Khan | 2025-01-01 | 0.71 | 0.20 | 🟢 fast start |
| Bilal Ahmed | 2025-01-10 | 3.00 | 3.00 | 🟢 fast start |
| File | Distinct Newcomers | Total Newcomer Edits |
|---|---|---|
| config/settings.py | 1 | 3 |
| src/test_main.py | 1 | 3 |
```
Full sample report included in the delivery package.
---
## What You'll Receive
1. `onboard_track.py` — the complete, ready-to-run analysis tool
2. `README.md` — full technical documentation and usage guide
3. `sample_report.md` — a real generated report so you know exactly what to expect
4. (Optional add-on) HTML dashboard version with interactive charts
5. (Optional add-on) GitHub Actions setup for automatic weekly/monthly reports
---
## How to Use It
```bash
python onboard_track.py /path/to/your/repo --output report.md
```
That's it. One command, one report, zero dependencies to install.
---
## Perfect For
- Engineering teams that want to measure and improve onboarding time
- Open-source maintainers who want to know which parts of their project confuse contributors
- Tech leads writing better documentation based on real data instead of assumptions
- Anyone tired of hearing "the docs weren't clear" without knowing *which* docs
---
**Order now and get a working onboarding analysis of your own repository — delivered as a ready-to-run tool, not just a one-time report.**