VC Deal Flow Signal

Q1 2026 Rankings

Climate Tech Startups to Watch, Q1 2026

Climate tech engineering activity is concentrated in grid software and carbon accounting tooling.

#CompanyStageGeoCommits (14d)ChangeContributorsContrib. GrowthNew ReposSignal
1
regen-network

A platform to originate and invest in high-integrity carbon and biodiversity credits from ecological regeneration projec

Series A/BUnknown11+1000%27+0%0Deploy frequency spike
2
carbon-design-system

An open-source design system built by IBM.

GrowthUnknown62+933%100+0%1Deploy frequency spike
3
incubateur-ademe

Incubateur interne de l'ADEME

Series A/BEU112+143%30+0%2Framework 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 climate tech startups showing in Q1 2026?

In Q1 2026, we are tracking 3 climate tech startups with measurable GitHub engineering signals. 3 of 3 show positive commit velocity growth. The most common signal type is "Deploy frequency spike", observed in 2 of the tracked companies. The average 14-day commit velocity across the sector is 62 commits, with regen-network leading at 11 commits (+1000% change). These patterns have historically preceded fundraise announcements by six to twelve weeks.

Which climate tech startup has the highest engineering acceleration in Q1 2026?

regen-network leads the climate tech sector in Q1 2026 with 11 commits over a 14-day window, representing a +1000% change from the prior period. With 27 active contributors, regen-network is showing a "Deploy frequency spike" 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.

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