Patreon vs SoundCloud
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Patreon and SoundCloud both appear on the Smoower Developer Ecosystem Index.
Patreon and SoundCloud sit at essentially the same overall ecosystem score (36), which is unusual and worth reading through the pillars below.
On code quality (the state of repositories, tests, releases and polish), Patreon is ahead of SoundCloud. On education (docs, guides and learning material for developers), Patreon is slightly ahead of SoundCloud. On community (issue response, PR reviews and discussion health), SoundCloud is ahead of Patreon. On reach (how visible the ecosystem is beyond its own repos), Patreon is ahead of SoundCloud. On momentum (release cadence and how fast the ecosystem moves), SoundCloud is clearly ahead of Patreon.
Patreon carries 846 GitHub stars across 62 public repos, with 0 repositories active in the last 90 days and 2 external contributors on record. SoundCloud shows 8,606 stars across 56 public repos, 17 active in the last 90 days and 4 external contributors. The star gap on its own does not decide the comparison, but SoundCloud's footprint is roughly 10.2x larger, which usually shows up in downstream signals like inbound issues and third party integrations.
Patreon is the stronger read for anyone weighting reach. SoundCloud looks better where momentum 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 | Patreon | SoundCloud |
|---|---|---|
| Ranking | ||
| Overall rank | #536 | #536 |
| Pillars | ||
| Overall | 36 | 36 |
| Code | 52 | 42 |
| Education | 63 | 61 |
| Community | 26 | 39 |
| Reach | 61 | 45 |
| Momentum | 0 | 43 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 846 | 8,606 |
| Forks | 220 | 1,142 |
| Public repos | 62 | 56 |
| Active repos (90d) | 0 | 17 |
| External contributors | 2 | 4 |
| Avg polish | 53 | 46 |
| Avg AI-readiness | 37 | 32 |