Q4 2025 Rankings
Climate Tech Startups to Watch, Q4 2025
Climate tech engineering activity is concentrated in grid software and carbon accounting tooling.
| # | Company | Stage | Geo | Commits (14d) | Change | Contributors | Contrib. Growth | New Repos | Signal |
|---|---|---|---|---|---|---|---|---|---|
| 1 | carbon-design-system An open-source design system built by IBM. | Growth | Unknown | 89 | +27% | 100 | +0% | 1 | Framework migration |
| 2 | incubateur-ademe Incubateur interne de l'ADEME | Series A/B | EU | 99 | +0% | 30 | +0% | 2 | Framework migration |
| 3 | regen-network A platform to originate and invest in high-integrity carbon and biodiversity credits from ecological regeneration projec | Series A/B | Unknown | 1 | -67% | 27 | +0% | 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 climate tech startups showing in Q4 2025?
In Q4 2025, we are tracking 3 climate tech startups with measurable GitHub engineering signals. 1 of 3 show positive commit velocity growth. The most common signal type is "Framework migration", observed in 3 of the tracked companies. The average 14-day commit velocity across the sector is 63 commits, with carbon-design-system leading at 89 commits (+27% change). These patterns have historically preceded fundraise announcements by six to twelve weeks.
Which climate tech startup has the highest engineering acceleration in Q4 2025?
carbon-design-system leads the climate tech sector in Q4 2025 with 89 commits over a 14-day window, representing a +27% change from the prior period. With 100 active contributors and 1 new repositories, carbon-design-system 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 climate tech engineering teams located?
Among the 3 climate tech startups we track, EU accounts for the highest concentration with 1 teams. Startups developing clean energy, carbon monitoring, and climate adaptation technologies. Geographic distribution matters for investors because engineering talent clusters correlate with sector-specific domain expertise and proximity to early adopter customers.