Q1 2026 Rankings
AI & Machine Learning Startups to Watch, Q1 2026
AI and ML engineering teams are moving at an unusual pace this quarter. We are tracking model infrastructure startups with commit velocities that have tripled in under three weeks.
| # | Company | Stage | Geo | Commits (14d) | Change | Contributors | Contrib. Growth | New Repos | Signal |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Krexind Open-source personal finance tracking web application powered by ChatGPT. | Pre-seed | Unknown | 732 | -9% | 2 | +0% | 0 | Framework migration |
Sorted by commit velocity change (14-day window, descending). Top 3 highlighted. Data last updated Q1 2026.
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Frequently Asked Questions
What engineering signals are ai & machine learning startups showing in Q1 2026?
In Q1 2026, we are tracking 1 ai & machine learning startups with measurable GitHub engineering signals. 0 of 1 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 1 of the tracked companies. The average 14-day commit velocity across the sector is 732 commits, with Krexind leading at 732 commits (-9% change). These patterns have historically preceded fundraise announcements by six to twelve weeks.
Which ai & machine learning startup has the highest engineering acceleration in Q1 2026?
Krexind leads the ai & machine learning sector in Q1 2026 with 732 commits over a 14-day window, representing a -9% change from the prior period. With 2 active contributors, Krexind is showing a "Framework migration" pattern — one of the more reliable leading indicators of a significant product milestone or fundraise.
Where are the most active ai & machine learning engineering teams located?
The ai & machine learning startups we track are geographically distributed across multiple regions. Startups building AI/ML infrastructure, applications, and tools. We derive geography from GitHub organization profiles.