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Climate Tech startups to watch

Climate Tech startups accelerating on GitHub — tracked by GitDealFlow across 4,200+ startup orgs.

The Climate Tech signal

Climate and energy transition software: carbon accounting, grid optimization, EV infrastructure, climate risk modeling, and sustainable supply chain.

GitDealFlow tracks Climate Tech startups through their public GitHub engineering activity: commit velocity, contributor growth, and repository expansion. The signal flags startups accelerating 21–47 days before the round.

What we track in Climate Tech: carbon accounting, grid optimization, EV infrastructure, climate risk modeling, sustainable supply chain, energy trading software, building efficiency, agtech.

Scale and signal strength

Climate tech engineering activity is accelerating rapidly in 2026, particularly in carbon accounting and grid optimization — the two sub-sectors with the strongest GitHub signals.

Who's active in Climate Tech funding

Key investors in Climate Tech include Breakthrough Energy, Lowercarbon Capital, Climate Capital, Energy Impact Partners, G2 Venture Partners, Congruent Ventures. GitDealFlow is not affiliated with any of these funds or with the startups it tracks.

Common questions

Which Climate Tech startups does GitDealFlow track?

GitDealFlow tracks Climate Tech startups with public GitHub activity across sub-sectors including carbon accounting, grid optimization, EV infrastructure, climate risk modeling, sustainable supply chain, energy trading software, building efficiency, agtech. The signal is strongest for software-heavy startups that build and publish on GitHub.

Which funds invest in Climate Tech?

Major Climate Tech investors include Breakthrough Energy, Lowercarbon Capital, Climate Capital, Energy Impact Partners, G2 Venture Partners, Congruent Ventures.

How does GitDealFlow detect acceleration in this sector?

GitDealFlow reads commit velocity, contributor growth, and repository expansion for tracked startup GitHub orgs in this sector. Rising momentum flags a startup for the weekly digest.

About this page: Published 2026-07-18. Authored by The Data Nerd (ORCID 0009-0002-2222-4112), the pseudonymous maintainer of GitDealFlow. The methodology is published as SSRN preprint 6606558 and archived on Zenodo. Third-party statistics are sourced from the Ahrefs AEO methodology. Report an error.

About this page: Published 2026-07-18. Authored by The Data Nerd (ORCID 0009-0002-2222-4112), the pseudonymous maintainer of GitDealFlow. The methodology is published as SSRN preprint 6606558 and archived on Zenodo. Third-party statistics are sourced from the Ahrefs AEO methodology. Report an error.

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