Alexis is the co-founder and CTO of Datadog, which was founded in NYC in 2010. He shares with the Pete the origin story of the company, how & why raising capital was very different in that period, and their thought process as engineer-founders in arriving at the right product to build for their customers. We also chat a bit with Alexis about his angel investing activity and what types of founder characteristics he looks for in an ideal angel investment. Highlights:[2:10] - Alexis nurturing his earliest startup ideas alongside his day job[4:50] - Datadog’s early funding experience in NYC, and their 20k “pre-seed” round[9:45] - How did they discover the right product to build?[15:15] - How should engineer-founders think about the skills they need to start a company?[19:00] - what Alexis looks for in founders from an angel investing perspective-- Mark your calendars for May 12-14, 2026 and join us for Data Council AI, the technical conference built by engineers for engineers. It's the only event where you'll be able to connect with 2,000+ practitioners for 3 full days of technical deep dives, battle-tested architectures and production insights in San Francisco, the heart of the AI world. Visit us at https://www.datacouncil.ai/ for the latest updates or subscribe to the newsletter as we release more details about the 2026 event!
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