Record and replay user sessions to fix bugs faster.
LogRocket vs Recruitee
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
LogRocket (Record and replay user sessions to fix bugs faster.) and Recruitee both appear on the Smoower Developer Ecosystem Index.
LogRocket (rank #372) holds a narrow lead over Recruitee (rank #602) on the overall Smoower ecosystem score (42 vs 34). The gap of 8 points reflects composite signals across code, docs, community and reach.
On education (docs, guides and learning material for developers), Recruitee is ahead of LogRocket. On community (issue response, PR reviews and discussion health), LogRocket is ahead of Recruitee. On reach (how visible the ecosystem is beyond its own repos), Recruitee is ahead of LogRocket. On momentum (release cadence and how fast the ecosystem moves), LogRocket is ahead of Recruitee.
LogRocket carries 6,668 GitHub stars across 16 public repos, with 5 repositories active in the last 90 days and 2 external contributors on record. Recruitee shows 411 stars across 56 public repos, 0 active in the last 90 days and 0 external contributors. The star gap on its own does not decide the comparison, but LogRocket's footprint is roughly 16.2x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
LogRocket is the stronger read for anyone weighting momentum. Recruitee looks better where reach is the deciding factor. The table below breaks the scores down pillar by pillar; the linked profiles cover the underlying repos, docs and community signals in full.
Side-by-side metrics
| Metric | LogRocket | Recruitee |
|---|---|---|
| Ranking | ||
| Overall rank | #372 | #602 |
| Pillars | ||
| Overall | 42 | 34 |
| Code | 46 | 46 |
| Education | 62 | 71 |
| Community | 23 | 12 |
| Reach | 22 | 35 |
| Momentum | 43 | 28 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 6,668 | 411 |
| Forks | 379 | 67 |
| Public repos | 16 | 56 |
| Active repos (90d) | 5 | 0 |
| External contributors | 2 | 0 |
| Avg polish | 42 | 38 |
| Avg AI-readiness | 20 | 33 |