Heavybit Podcasts

In episode 47 of Generationship, Rachel Chalmers chats with Dr. Milette Gillow and Sedinam Simpson, co-founders of The Tech Bros, about their mission to make tech more inclusive and inventive. They unpack lessons from their first accelerator cohort, debate the future of AI, and share what it takes to build confidence and community in an evolving industry.

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In episode 24 of Open Source Ready, Brian Douglas and John McBride sit down with Ivan Burazin, CEO of Daytona, to explore how his company is building runtime infrastructure for AI agents. Ivan shares how Daytona pivoted from developer environments to powering the next wave of autonomous AI systems, and what it takes to make agents fast, secure, and scalable. They also discuss open source licensing, enterprise adoption, and dopamine-driven development.

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In episode 46 of Generationship, Rachel Chalmers and Don Marti trace a thoughtful arc from the open source protests of the 1990s to today’s AI-driven world. They explore how large language models blur truth and plausibility, debate ethics in benchmarking and market-based definitions of intelligence, and mourn the loss of the web’s early democratizing promise. Don discusses sustainable open source ecosystems, AI tooling, and practical advice for new graduates navigating an AI-saturated job market.

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In episode 86 of o11ycast, Ken Rimple and Jessica Kerr sit down with Amarilis Campos from Nubank. They explore how Brazil’s largest digital bank uses observability to build resilience and autonomy at scale. Amarilis shares how Nubank’s culture of “acting like owners, not renters” and its journey from metrics and logs to tracing with Honeycomb helped the company grow to over 100 million customers.

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In episode 45 of Generationship, Rachel Chalmers speaks with Allegra Guinan of Lumiera about the trust dynamics and design ethics of voice-based AI. Together they explore how human tendencies to anthropomorphize voice systems can both build and erode trust, underscoring the need for responsible design and diverse perspectives.

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In episode 23 of Open Source Ready, Brian Douglas and John McBride sit down with Davanum “Dims” Srinivas to discuss the health and future of the Kubernetes community. They explore how corporate changes impact open source contributions, the importance of onboarding programs, and the challenge of sustaining long-term contributors. Dims also shares insights into Kubernetes’ evolving role in AI and GPU workloads. The discussion is equal parts career advice, technical insight, and open source storytelling.

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On episode 15 of Platform Builders, Christine Spang and Isaac Nassimi sit down with Amrit Dhangal. Together, they explore his journey building Acquire from a scrappy live chat tool to a venture-backed customer service platform. Amrit reflects on scaling challenges, personal sacrifices as an immigrant founder, and the lessons he’s carrying into his new company, Aero.

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In episode 22 of Open Source Ready, Brian and John sit down with Benji Kalman, co-founder of Root, to explore the intersection of AI, software development, and security. They unpack "vibe coding," its impact on API proliferation, and the hidden costs of increased technical debt. Learn why a security vulnerability is just a bug with a purpose, and discover how AI agents can be used not just to write code, but to automatically find and remediate vulnerabilities in open-source containers.

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On episode 14 of Platform Builders, Christine Spang and Isaac Nassimi speak with Anthony Presley. Anthony walks through his journey from early consulting to creating workforce management SaaS, highlighting how persistence and customer-driven development shaped his companies. Together, they dig into the complexities of restaurant software, the importance of open ecosystems, and where dining tech is headed.

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In episode 44 of Generationship, Rachel speaks with Felipe Huici, CEO and co-founder of Unikraft, about the powerful world of unikernels. Felipe breaks down how these lightweight, specialized VMs can achieve millisecond cold starts, enabling services to truly "scale to zero" without users noticing a delay. Learn how this efficiency is not just about saving money, but also about providing a secure and scalable foundation for the next wave of AI-generated applications.

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