ABOUT THIS PODCAST 🔗

Update frequency:
every 9 days
Average audio length:
31 minutes
Guest interviews
English
United States
35 episodes
since Oct. 15, 2025
episodic

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What does it look like when the person best positioned to disrupt an industry is the one who used to run the process about to become obsolete? One founder managed a 90-person team deploying water meters the slow, decades-old way, watched a hyperscaler quietly ship a piece of infrastructure almost n…

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What happens when you build the right idea a decade too early? Most founders would call that a failure and move on to something else. One founder built the exact same business twice, over ten years apart, and this time the world finally caught up to the idea. Sandra Trittin co-founded a distribute…
Picture a city government worried about crime: robberies, car accidents, crooks on the street. An AI vendor walks in pitching license plate recognition and predictive policing. It sounds right. Except the city's more urgent problem might be flooded streets, and no security vendor ever thought to as…
What do you do when the exact data your AI needs to get smart is legally required to stay private forever? A confidentiality agreement doesn't show up in a public training set, by definition it can't. One founder discovered that gap years before generative AI existed, and had to build an entire ope…
Andrew Laffoon is co-founder and CEO of Mixbook, a photo book platform he has led for 20 years—from hobbyist niche to mainstream storytelling product. In this episode, Andrew explains how Mixbook built Story Mode (an AI-powered photo book creator powered by OpenAI, Claude, and Google, launched 8 da…
Would you turn away a paying customer to protect a product that isn't ready for them? Last year, a major telecom company came to a fast-growing AI startup wanting to buy in. The founder said no, not because the money was bad, but because his product hadn't earned the right to serve that industry ye…
In 2019, before ChatGPT, before Sora, before most people had heard the word "foundation model" used in a business context, one founder made a call that looked strange at the time: he decided not to train his own AI models. Not because he couldn't. Because he believed the models would arrive — and t…
Most founders believe their team isn't aligned because the team isn't capable enough. Almost none of them have considered that the team can't align around a direction that lives entirely inside the founder's head. That distinction — between a team development problem and a founder bottleneck proble…
What does it actually take to build an AI-powered construction intelligence platform — and why does it take 12 years? Most founders trying to layer AI onto physical industries discover too late that the data problem is the real problem. The model is only as good as what you fed it, and construction…
Most founders have more marketing data than they know what to do with — and are making worse decisions because of it. The issue isn't measurement. It's that the metrics they're watching were never designed to match the sales cycle they're actually running. When you compare this week's ad spend to t…
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