Description
In this episode of The GitHub Podcast, Andrea Griffiths and GPS are joined by the co-authors of the annual State of Commercial Open Source 2026 report: Matt Lavergne, a partner at VC firm Serena, and Sam Boysel, a data scientist with the Linux Foundation. Matt and Sam walk through what years of venture capital data on open source startups actually show: commercial open source companies raise money faster, close bigger rounds, and exit at significantly higher valuations than closed-source peers. They dig into which community and criticality signals actually matter instead, why the fear that “money ruins open source communities” mostly doesn’t hold up in the data, and how founders can build a business on top of an existing project without alienating maintainers, including real examples like pyannoteAI and MotherDuck. Finally, they share why open source founders turned out to be surprisingly optimistic about AI’s impact on their businesses.
Links mentioned in this episode:
Matt Lavergne on LinkedIn: https://www.linkedin.com/in/matthieulavergne/
Sam Boysel on LinkedIn: https://www.linkedin.com/in/sboysel/
State of Commercial Open Source Report: https://cossreport.com
pyannoteAI: https://github.com/pyannote
MotherDuck: https://motherduck.com
Working in Public by Nadia Eghbal: https://www.librarything.com/work/25093316/book/187790380
— CHAPTERS —
00:00 Introduction to the GitHub Podcast
01:26 Meet the report co-authors
04:51 Venture capital and Open Source data
10:11 Community metrics and criticality signals
14:43 Evaluating startup signals and vanity metrics
23:09 Dispelling myths around money and Open Source
26:53 State of Commercial Open Source findings
31:30 Real-world examples: pyannoteAI and MotherDuck
37:23 Avoiding community alienation and forking risks
42:09 Where to find the report and conclusion
#GitHubPodcast #OpenSource #SoftwareEngineering
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