Your Search Foundation, Supercharged! (acquired by @elastic 2025/10)
Jina AI vs Vercel Labs
Developer ecosystem comparison across GitHub activity, SDKs, documentation, community, reach and momentum.
Jina AI (Your Search Foundation, Supercharged! (acquired by @elastic 2025/10)) and Vercel Labs (Develop. Preview. Ship. Creators of Next.js.) both appear on the Smoower Developer Ecosystem Index.
Vercel Labs (rank #9) holds a meaningful lead over Jina AI (rank #228) on the overall Smoower ecosystem score (71 vs 49). The gap of 22 points reflects composite signals across code, docs, community and reach.
On code quality (the state of repositories, tests, releases and polish), Vercel Labs is slightly ahead of Jina AI. On education (docs, guides and learning material for developers), Vercel Labs is ahead of Jina AI. On community (issue response, PR reviews and discussion health), Vercel Labs is slightly ahead of Jina AI. On reach (how visible the ecosystem is beyond its own repos), Vercel Labs is clearly ahead of Jina AI. On momentum (release cadence and how fast the ecosystem moves), Vercel Labs is clearly ahead of Jina AI.
Jina AI carries 73,086 GitHub stars across 266 public repos, with 9 repositories active in the last 90 days and 11 external contributors on record. Vercel Labs shows 188,839 stars across 348 public repos, 76 active in the last 90 days and 470 external contributors.
Jina AI is worth a look for teams already invested in its stack. Vercel Labs 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 | Jina AI | Vercel Labs |
|---|---|---|
| Ranking | ||
| Overall rank | #228 | #9 |
| Pillars | ||
| Overall | 49 | 71 |
| Code | 61 | 63 |
| Education | 57 | 73 |
| Community | 39 | 46 |
| Reach | 59 | 84 |
| Momentum | 18 | 81 |
| Builder experience | 0 | 0 |
| Signals | ||
| Stars | 73,086 | 188,839 |
| Forks | 7,690 | 14,617 |
| Public repos | 266 | 348 |
| Active repos (90d) | 9 | 76 |
| External contributors | 11 | 470 |
| Avg polish | 63 | 53 |
| Avg AI-readiness | 47 | 71 |