GitDealFlowsignals

Q2 2026 · Europe

Supply Chain Startups in Europe to Watch, Q2 2026

6 supply chain startups based in Europe ranked by GitHub engineering acceleration. Filtered from our broader Supply Chain sector rankings.

#CompanyStageCommits (14d)ChangeContributorsSignal
1pyck-ai

We build an Open-Source Warehouse Management Framework for the AI-driven era.

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Pre-seed10+999%4Engineering hiring burst
2medulla-tech

Endpoint management solution

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Series A/B77+97%26Framework migration
3Part-DB

Open Source Electronic Parts Database using PHP and MySQL

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Growth15-17%53Deceleration
4phamos-eu

Implementing, Consulting and Developing ERPNext

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Seed18-31%18Deceleration
5pluginsGLPI

Official GLPI Project Plugins organization

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Series A/B2-60%30Deceleration
6PyVRP

The PyVRP project develops open-source tools to efficiently solve vehicle routing problems.

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Seed1-80%9Deceleration
Powered by VC Deal Flow Signal , real-time GitHub engineering data for investorsData from public GitHub API

Sorted by commit velocity change (14-day window, descending). Data last updated Q2 2026. Geography from GitHub org profiles.

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Frequently Asked Questions

Which supply chain startups in Europe are showing the strongest engineering signals in Q2 2026?

In Q2 2026, pyck-ai leads supply chain startups in Europe with 10 commits over a 14-day window (+999% change) and 4 active contributors. Across all 6 tracked Europe-based startups in this sector, the average 14-day commit velocity is 21 commits. The dominant signal pattern is "Deceleration", which typically indicates significant technical migration, which often precedes a pivot or platform upgrade.

How does the Europe supply chain startup ecosystem compare to other regions?

Europe accounts for 6 of the supply chain startups in our tracking dataset for Q2 2026. This geographic view filters the broader sector rankings to help investors focused on Europe-based deal flow identify engineering acceleration patterns within their target geography. Regional concentrations often reflect local regulatory environments, talent pools, and investor networks that shape startup trajectories differently from global averages.

How is startup geography determined in these rankings?

We derive startup geography primarily from the GitHub organization profile location field, supplemented by a manually curated enrichment database of known startup headquarters. This means startups without a public GitHub location may appear in our global sector rankings but not in geographic filters. The geographic classification uses broad regions (Europe, etc.) rather than city-level granularity to provide meaningful sample sizes for comparison.

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21-47 days
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