Make things that matter, together. See also @productboardlabs
Productboard vs segment
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Productboard (Make things that matter, together. See also @productboardlabs) and segment both appear on the Smoower Developer Ecosystem Index.
segment (rank #569) holds a narrow lead over Productboard (rank #625) on the overall Smoower ecosystem score (35 vs 33). The gap of 2 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Productboard is clearly ahead of segment. On education (docs, guides and learning material for developers), segment is clearly ahead of Productboard. On community (issue response, PR reviews and discussion health), Productboard is slightly ahead of segment. On reach (how visible the ecosystem is beyond its own repos), segment is clearly ahead of Productboard. On momentum (release cadence and how fast the ecosystem moves), Productboard is clearly ahead of segment.
Productboard carries 90 GitHub stars across 87 public repos, with 8 repositories active in the last 90 days and 2 external contributors on record. segment shows 0 stars across 0 public repos, 0 active in the last 90 days and 0 external contributors.
Productboard is the stronger read for anyone weighting momentum. segment 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 | Productboard | segment |
|---|---|---|
| Ranking | ||
| Overall rank | #625 | #569 |
| Pillars | ||
| Overall | 33 | 35 |
| Code | 41 | 0 |
| Education | 30 | 60 |
| Community | 16 | 11 |
| Reach | 22 | 57 |
| Momentum | 48 | 0 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 90 | 0 |
| Forks | 79 | 0 |
| Public repos | 87 | 0 |
| Active repos (90d) | 8 | 0 |
| External contributors | 2 | 0 |
| Avg polish | 32 | 0 |
| Avg AI-readiness | 34 | 0 |