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Q2 2026 Rankings
Supply chain tech is seeing a second wave of engineering investment this quarter.
Key Takeaway
In Q2 2026, 0 of 1 tracked supply chain startups show positive engineering acceleration. medulla-tech leads with 3 commits over 14 days (-92% change). The dominant signal pattern is "Framework migration". Average sector commit velocity is 3 commits per 14-day window. These engineering momentum signals have historically preceded fundraise announcements by three to six weeks.
Data sourced from public GitHub activity. Read our methodology
| # | Company | Stage | Geo | Commits (14d) | Change | Contributors | Contrib. Growth | New Repos | Signal |
|---|---|---|---|---|---|---|---|---|---|
| 1 | medulla-tech Endpoint management solution View signal profile → | Series A/B | EU | 3 | -92% | 25 | +0% | 0 | Framework migration |
Sorted by commit velocity change (14-day window, descending). Top 3 highlighted. Data last updated Q2 2026.
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Best of 2026
Top Supply Chain startups ranked across all 2026quarters →
Q2 2026 vs Q1 2026
How Supply Chaincommit velocity has shifted quarter-over-quarter →
By signal type in this sector
By stage
In Q2 2026, we are tracking 1 supply chain 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 3 commits, with medulla-tech leading at 3 commits (-92% change). These patterns have historically preceded fundraise announcements by three to six weeks.
medulla-tech leads the supply chain sector in Q2 2026 with 3 commits over a 14-day window, representing a -92% change from the prior period. With 25 active contributors, medulla-tech is showing a "Framework migration" pattern — one of the more reliable leading indicators of a significant product milestone or fundraise.
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.