Iterable vs LinkedIn
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Iterable and LinkedIn both appear on the Smoower Developer Ecosystem Index.
Iterable (rank #317) holds a narrow lead over LinkedIn (rank #338) on the overall Smoower ecosystem score (44 vs 43). The gap of 1 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), LinkedIn is ahead of Iterable. On education (docs, guides and learning material for developers), Iterable is slightly ahead of LinkedIn. On community (issue response, PR reviews and discussion health), LinkedIn is ahead of Iterable. On reach (how visible the ecosystem is beyond its own repos), LinkedIn is clearly ahead of Iterable. On momentum (release cadence and how fast the ecosystem moves), Iterable is clearly ahead of LinkedIn.
Iterable carries 269 GitHub stars across 100 public repos, with 16 repositories active in the last 90 days and 10 external contributors on record. LinkedIn shows 77,785 stars across 137 public repos, 28 active in the last 90 days and 52 external contributors. The star gap on its own does not decide the comparison, but LinkedIn's footprint is roughly 289.2x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Iterable is the stronger read for anyone weighting momentum. LinkedIn 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 | Iterable | |
|---|---|---|
| Ranking | ||
| Overall rank | #317 | #338 |
| Pillars | ||
| Overall | 44 | 43 |
| Code | 51 | 63 |
| Education | 59 | 54 |
| Community | 35 | 49 |
| Reach | 16 | 61 |
| Momentum | 58 | 37 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 269 | 77,785 |
| Forks | 212 | 12,231 |
| Public repos | 100 | 137 |
| Active repos (90d) | 16 | 28 |
| External contributors | 10 | 52 |
| Avg polish | 53 | 64 |
| Avg AI-readiness | 34 | 43 |