Ep 85 | Having A Company Is Maybe The Hardest Way To Get Rich (w/ Maximilian Schilling)
Maximilian Schilling, co-founder and CEO of warmwind, is building a new kind of browser where AI works like a digital employee: clicking, typing, and navigating apps visually instead of through APIs. In this episode, we talk about his mission to make automation transparent, reliable, and accessible for every business, and how he’s building one of Europe’s most ambitious AI startups from Jena, Germany.We dive into Max’s story, from growing up in a family that both inspired and warned him against entrepreneurship, to starting his first business at 14, and selling his second before launching Warmwind. He shares how financial independence as a teenager shaped his drive, why failure never felt like a real risk, and how curiosity (not comfort) has guided every decision he’s made.Max also explains Warmwind’s approach to building Warmwind OS, a browser-based system where AI agents automate workflows for small and medium businesses by acting on the screen instead of behind closed APIs. We talk about building reliable software, hiring in Europe, retraining vision-first AI models, and why he believes European founders should channel their “rage to compete” into world-class products.If you’re interested in AI, automation, or the mindset behind building bold companies from scratch, you’ll love this conversation with Max.
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Ep 84 | Fundamental Improvement Over Incremental Change (w/ Xavier (Tianhao) Chi)
Robots still need weeks of coding to learn one new task. Xavier (Tianhao) Chi is changing that with Mbodi AI:Mbodi helps industrial robots learn through language and demonstration. No coding, no engineers, just simple instruction. We talk about how his team is closing the gap between advanced AI research and real factory floors, and what that means for the future of automation.Xavier shares his path from growing up in Shenyang to leading Google Public DNS, one of the internet’s core services, and why he left to build Mbodi with his co-founder. He explains why the next wave of robotics will come from adaptable software, not humanoids.We also talk about risk, ambition, and what it takes to move from stable engineering to startup chaos. Xavier breaks down Mbodi’s hybrid AI approach, its sub-0.5 second response times, and how their partnership with ABB is turning it into real deployments.A must-listen for anyone building in robotics, AI, or industrial automation.
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Ep. 83 | You Become Who You Hang Out With (w/ Ashish Kapoor)
Ashish Kapoor is building General Robotics to solve the biggest deployment problem in robotics: Getting real robots to work in the real world. In this episode, he shares how he’s doing it, and why most robotics stacks aren’t built to scale.We talk about growing up in India, studying at IIT and MIT, and how his mindset shifted from solving hard problems to finding the right ones. Ashish shares why he left research to start General Robotics, the limits of today’s robotics stacks, and how Grid aims to solve the deployment bottleneck, especially for enterprises drowning in PoCs and fragmented software.He also opens up about his background in aviation, building his own airplane, and how he's betting on cloud-first skills infrastructure while others chase edge. This one’s packed with insight from someone who’s worked across every layer of the robotics stack... and is now trying to make it all work in the real world.
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Ep 82 | College Is Going to Be Obsolete by the End of This Decade (w/ Brian Walker)
In this episode, I talk with Brian Walker, founder and CEO of REVEL, the company building the simulation backbone for humanoid robotics. Brian’s journey started far from Silicon Valley: growing up in the Czech Republic and working on Hollywood sets like Avatar and The Mandalorian, where he helped pioneer real-time XR production.We talk about what pulled him from filmmaking into robotics, and how sci-fi inspired him to stop watching the future and start building it. Brian shares why he founded REVEL to create a massive library of digital twins, turning real-world products into high-fidelity simulation assets so robots can train on them before ever touching them.His goal? To make every product “robot-ready” and compress a decade of physical experience into just hours of training.We also dive into his views on self-education, outsider thinking, and why he acquired a startup during a 20-hour hackathon, with a mic-drop and a €20K offer.If you’re into robotics, simulation, or stories of wild career pivots, don’t miss this one.
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Ep 81 | Opportunities Only Arise After An Incredible Amount Of Work (w/ Jan Liphardt)
A Stanford physicist leaves academia to build open-source software for humanoid robots? I talked to OpenMind founder Jan Liphardt: OpenMind a new robotics company building an open-source, AI-native operating system for humanoid robots.We talk about being born in Germany, his upbringing in Michigan, early love for taking things apart, and how his path led from biochemistry at Reed to a PhD at Cambridge, then faculty roles at Berkeley and Stanford.Jan shares why he made the leap from academia to entrepreneurship, how a Nature paper and a Christmas Eve email nudged him out of the lab, and what drives his belief in transparency, modularity, and decentralized control for intelligent machines.We also discuss OpenMind’s strategy, where robots download their rulebooks from Ethereum, and why he thinks humanoids won't fold your laundry... but could teach your kids or assist in hospitals.
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Each episode features founders, executives, and builders in AI, robotics, and hardware — breaking down how they build, scale, and learn.
We talk about systems, mistakes, GTM strategy, funding lessons, and how to move from research to traction.
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