Q4 2025 Rankings
Supply Chain Startups to Watch, Q4 2025
Supply chain tech is seeing a second wave of engineering investment this quarter.
Key Takeaway
In Q4 2025, 1 of 1 tracked supply chain startups show positive engineering acceleration. glpi-project leads with 113 commits over 14 days (+7% change). The dominant signal pattern is "Framework migration". Average sector commit velocity is 113 commits per 14-day window. These engineering momentum signals have historically preceded fundraise announcements by six to twelve weeks.
Data sourced from public GitHub activity. Read our methodology
| # | Company | Stage | Geo | Commits (14d) | Change | Contributors | Contrib. Growth | New Repos | Signal |
|---|---|---|---|---|---|---|---|---|---|
| 1 | glpi-project Official GLPI Project organization | Growth | EU | 113 | +7% | 100 | +1% | 0 | Framework migration |
Sorted by commit velocity change (14-day window, descending). Top 3 highlighted. Data last updated Q4 2025.
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Frequently Asked Questions
What engineering signals are supply chain startups showing in Q4 2025?
In Q4 2025, we are tracking 1 supply chain startups with measurable GitHub engineering signals. 1 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 113 commits, with glpi-project leading at 113 commits (+7% change). These patterns have historically preceded fundraise announcements by six to twelve weeks.
Which supply chain startup has the highest engineering acceleration in Q4 2025?
glpi-project leads the supply chain sector in Q4 2025 with 113 commits over a 14-day window, representing a +7% change from the prior period. With 100 active contributors, glpi-project 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 supply chain engineering teams located?
Among the 1 supply chain startups we track, EU accounts for the highest concentration with 1 teams. Startups digitizing logistics, procurement, and inventory management. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.