BTW we use OCaml
Ahrefs vs RingCentral, Inc.
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Ahrefs (BTW we use OCaml) and RingCentral, Inc. both appear on the Smoower Developer Ecosystem Index.
RingCentral, Inc. (rank #372) holds a narrow lead over Ahrefs (rank #401) on the overall Smoower ecosystem score (42 vs 41). 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), RingCentral, Inc. is ahead of Ahrefs. On education (docs, guides and learning material for developers), Ahrefs is slightly ahead of RingCentral, Inc. . On community (issue response, PR reviews and discussion health), RingCentral, Inc. is slightly ahead of Ahrefs. On reach (how visible the ecosystem is beyond its own repos), RingCentral, Inc. is slightly ahead of Ahrefs. On momentum (release cadence and how fast the ecosystem moves), Ahrefs is clearly ahead of RingCentral, Inc. .
Ahrefs carries 1,303 GitHub stars across 171 public repos, with 28 repositories active in the last 90 days and 7 external contributors on record. RingCentral, Inc. shows 1,659 stars across 184 public repos, 31 active in the last 90 days and 17 external contributors.
Ahrefs is the stronger read for anyone weighting momentum. RingCentral, Inc. looks better where code quality 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 | Ahrefs | RingCentral, Inc. |
|---|---|---|
| Ranking | ||
| Overall rank | #401 | #372 |
| Pillars | ||
| Overall | 41 | 42 |
| Code | 42 | 59 |
| Education | 57 | 52 |
| Community | 37 | 42 |
| Reach | 21 | 23 |
| Momentum | 65 | 39 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 1,303 | 1,659 |
| Forks | 261 | 23,722 |
| Public repos | 171 | 184 |
| Active repos (90d) | 28 | 31 |
| External contributors | 7 | 17 |
| Avg polish | 40 | 57 |
| Avg AI-readiness | 35 | 48 |