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Welcome back to another LIVE rendition of The Room Podcast! This week, we are back at our live conference, Inside Summit. Listen in as we sit down with Michel Tricot, Co-Founder and CEO of Airbyte — the open-source platform that’s transforming how companies move data across their modern stacks. Airbyte gives teams the ability to extract and load data from virtually any source, empowering both AI-native companies and legacy enterprises to sync their information seamlessly and securely across hundreds of tools.
In this conversation, Michel shares the lessons behind scaling Airbyte from its first connector to 600+, building open source community momentum, and navigating shocks like COVID and a disrupted engineering team during the war in Ukraine. We dive into why ELT architecture matters, what separates AI-native companies from incumbents trying to adopt AI, and why founders should optimize for survival before anything else. Tune in for tactical guidance on fundraising, building at “internet scale”, breaking data silos, and how to stay grounded when the journey becomes nonlinear — because it always does.
(00:00) Introduction
(04:23) Where did Michel grow up and how did that shape his view of the world?
(05:09) Did Michel always think he was going to become a founder?
(05:35) What early career milestones led Michel to move to San Francisco?
(07:56) What insights brought Michel to want to develop a better data stack?
(09:25) How did Michel transition from full-time work to launching an open-source solution and building Airbyte?
(11:05) Why did Michel choose to name Airbyte’s architecture as “ELT”?
(12:01) How did the “ELT” architecture choice influence decisions around scaling the company?
(13:15) What was Airbyte’s first connector?
(13:33) What was harder — going from 1 to 50 connectors or from 50 to 600?
(14:20) Who was the first person to ever say yes to investing in Michel?
(14:47) What metrics convinced investors that Airbyte was a billion-dollar-plus market?
(15:23) What advice does Michel have for first-time founders preparing for their first fundraise?
(16:00) What is something that went wrong during the founder journey?
(16:31) What does “AI data infrastructure” really mean — is it just rebranding?
(17:39) Where does Airbyte fit in the evolving AI ecosystem?
(18:47) How does Airbyte think about competing with giant platforms building internal integration tools?
(20:08) What separates AI-native companies from larger incumbents trying to cross the AI chasm?
(21:21) When data infrastructure is fully solved, what does that mean for the world?
(22:26) What general career and life advice does Michel have for future founders today?
(23:49) Who is a woman in Michel’s life that had a profound impact on him and his career?
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