#43 Marc Klingen: On Building Trust, Shipping Fast, and Staying Open in AI

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Mostly Awesome

Center for Digital Technology and Management (CDTM)

54 episodes

1 week ago

Mostly Awesome is a podcast about the personal journeys of innovators. We talk to the doers and thinkers of our time to understand what motivates them and why they do what they do. Together we reflect upon their decisions, wins, and setbacks. Meet our inspiring yet relatable guests from the world of entrepreneurship and technology to find out what may help you to become an innovator of tomorrow! Get ready for bi-weekly episodes on Wednesdays. We are looking forward to our guests and your feedback to podcast@cdtm.de. Mostly Awesome is brought to you by the Center for Digital Technology and Management (CDTM) in Munich. For more information, check www.cdtm.de/podcast. And now lean back, listen in, and learn from the thought leaders of our time!

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#43 Marc Klingen: On Building Trust, Shipping Fast, and Staying Open in AI

Mostly Awesome

39 minutes 51 seconds

5 months ago

#43 Marc Klingen: On Building Trust, Shipping Fast, and Staying Open in AI

Insights from Marc Klingen CEO and co-founder of Langfuse, the open-source LLM observability platform.

In this episode, we dive Marc shares his journey of moving back to Europe post-YC and establishing a high-agency, high-trust team culture. We delve into the complexities of building an open-source community, the hurdles in exciting developers about your product, and strategies for monetization. Marc also shares observations on the current state of AI applications, highlighting common use cases like customer support, market research, and software development.

00:36 - The "WHY" of decisions

02:27 - The Langfuse Story

04:18 - Pivoting

05:09 - The "YC" effect

08:14 - Building high trust and high talent team

10:02 - Team Motivation

11:01 - Reasons not to start a company

12:21 - Building a Company in Europe

14:01 - Speed and Progress in AI

15:50 - Why open source?

19:49 - Creating a developer community

22:51 - Patterns in AI teams

26:58 - What do teams get wrong?

28:43 - Moats in AI applications

30:56 - Missing in Stack

34:08 - Afraid of and optimistic about....

35:01 - Running from and running towards