Peter Coyle, CTO and co-founder of AudioStack, shares insights on building an AI-driven audio production company before the AI hype. He discusses the importance of understanding customer needs, the impact of AI on workflows, and the significance of team dynamics in a distributed environment. Coyle also emphasizes the value of open source contributions and offers advice for startup founders navigating the competitive landscape of AI technology.

00:00 Building AI Before the Hype

03:41 Surviving the GPT wave

05:57 Defensibility without mega-rounds

07:30 What AudioStack actually does

08:11 One-to-many: turning unscalable into scalable

12:06 Thin wrappers vs thick platforms

14:58 Model churn & provider neutrality

19:34 Ship faster: the metric that matters

24:17 Open Source Communities vs. Business Customers

26:40 Scaling across locations

30:25 Government advice

36:05 CTO and Startup Lessons

Peadar Coyle is CTO and co-founder of AudioStack.

Together with the Head of Engineering, he is dedicated to making AudioStack’s audio production infrastructure flexible, reliable, secure and scalable to meet the diverse ambitions of agencies, brands, publishers and AdTech.

He is an authority on software engineering, data science and AI, and has been invited on multiple occasions as a contributor to steering groups on AI innovation by industry groups and the UK Government.

He has long been an involved member of the Open Source community, and his core role in developing PyMC3, a Bayesian Computing Library, has supported the development of numerous scaleups around the world.

With an AI-native, technical founder’s perspective, he is passionately involved in conversations about the culture of engineering and has published a series of interviews of the teams behind data science innovations at some of the world’s best-known tech disruptors (Amazon, Spotify, Etsy).

• Audiostack Website: http://www.audiostack.ai/
• Peader's LinkedIn: https://www.linkedin.com/in/peadarcoyle/
• and on Youtube: https://www.youtube.com/c/Aflorithmic
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