AILead index · updated 21 Aug 2026
Standings
Leaderboards for AI tools, repos and creators — ranked on momentum, not headcount. Every score breaks down into factors you can audit, and nothing here is scored on numbers a vendor supplied.
Open Source
8 rankedRepos ranked on star velocity over absolute size. GitHub exposes retroactive history, so momentum is real from day one.
- 01
n8n-io/n8nWorkflowleads on Velocity66.3 - 02
vllm-project/vllmInferenceleads on Downloads66.3 - 03
ollama/ollamaInferenceleads on Stars61.3
| Rank | Stars | Downloads | Velocity | Score | ||
|---|---|---|---|---|---|---|
| 04 | 18.8 | 56.3 | 68.8 | 55.0 | ||
| 05 | 56.3 | 31.3 | 56.3 | 48.8 | ||
| 06 |  langchain-ai/langchainAgents | 81.3 | 93.8 | 6.3 | 47.5 | |
| 07 |  ggml-org/llama.cppInference | 31.3 | 43.8 | 18.8 | 28.8 | |
| 08 |  langgenius/difyAgents | 43.8 | 6.3 | 31.3 | 26.3 |
Influencers
8 rankedRanked on engagement against reach, not follower count. A sharp 40k audience outranks a stale 500k one.
- 01
Ethan Mollick@emollickWhartonleads on Engagement83.0 - 02
Sabrina Ramonov@sabrina_ramonovleads on Engagement59.8 - 03
Matthew Berman@matthewbermanleads on Reach52.7
| Rank | Reach | Engagement | Score | ||
|---|---|---|---|---|---|
| 04 |  Bilawal Sidhu@bilawalsidhu | 43.8 | 56.3 | 50.9 | |
| 05 |  Rowan Cheung@rowancheungThe Rundown AI | 56.3 | 43.8 | 49.1 | |
| 06 |  Linus Ekenstam@LinusEkenstam | 18.8 | 68.8 | 47.3 | |
| 07 |  Matt Wolfe@mreflowFuture Tools | 93.8 | 6.3 | 43.7 | |
| 08 |  Allie K. Miller@alliekmiller | 6.3 | 18.8 | 13.4 |