BeaconLayer Podcast takes listeners inside the real stories behind the companies shaping web3. Hosted by the BeaconLayer team, each episode features long-form conversations with founders, builders, and operators who are turning ideas into products, teams, and ecosystems. We go beyond headlines, announcements, and polished launch threads to understand what building actually looks like: the early conviction, the products shipped, the things that broke, the hiring decisions, the hard pivots, the near-death moments, and the choices that ultimately made it work. This is web3 from the builder’s side — the wins, the chaos, the mistakes, and the lessons you won’t find on the timeline.
Michael Heinrich | Founder of 0G Labs — Building the First Modular AI Chain
In this episode of BeaconLayer Podcast, Kenzi Morikawa, Sachi Miyasaki, and Diksha Wells sit down with Michael Heinrich, Founder of 0G Labs, to explore a bold thesis: the future of AI infrastructure may need its own modular, crypto-native stack.
Michael shares his unconventional journey — from high school boredom to building 0G Labs — and how practices like spiritual reading and meditation reshaped his leadership style as a founder. We talk about the less-discussed side of company-building: clarity, emotional regulation, and staying consistent when the market (and your own head) is volatile.
On the product side, we dive into what “the first modular AI chain” means in practice, why decentralized AI infrastructure is emerging as a category, and why Michael believes a community-owned approach is essential for the future of AI and data. 0G Labs is building a modular Web3 platform aimed at unlocking data infrastructure and storage for advanced AI workloads — connecting decentralized networks with tooling designed for machine-learning-native applications.
Expect a wide-ranging conversation on decentralized AI, community ownership, founder psychology, and what it takes to build at the frontier where crypto meets compute.
29 Apr 2026
Ron Bodkin | CEO & Co-Founder of Theoriq — Understanding Agent Collectives in AI
In this episode of BeaconLayer Podcast, Kenzi Morikawa sits down with Ron Bodkin, CEO and Co-Founder of Theoriq, to unpack what “agent collectives” really are — and why the next wave of AI may be coordinated by crypto-native incentives.
Ron explores the intersection of AI and Web3 through the lenses of responsibility, governance, and long-term alignment. He shares his journey from Google to founding Theoriq and ChainML, and reflects on what changes when you move from corporate AI leadership to startup execution.
The conversation dives into agent collectives, why standardization in AI is still a mess, and what metrics might actually matter for decentralized AI success. Ron introduces “Proof of Contribution” and “Proof of Collaboration” as trust-building mechanisms for agents and teams — and explains Theoriq’s core pillars: interoperability, composability, and decentralized innovation.
We also get into token economics, governance design, and how company culture shapes what a protocol becomes over time. Ron closes with lessons on leadership — and a forward-looking view of where decentralized AI could go next.
25 Apr 2026
Anna Kazlauskas | CEO & Co-Founder of Vana — Solving AI’s Data Dilemma
In this episode of BeaconLayer Podcast, Kenzi Morikawa, Sachi Miyasaki, and Diksha Wells sit down with Anna Kazlauskas, CEO and Co-Founder of Vana, to unpack one of the biggest bottlenecks in AI: data ownership and incentives.
Anna shares her path from traditional finance into decentralized AI, and what it’s like building Vana — a platform designed to let people own their data and contribute it to AI models on their terms. We dig into why tokenomics matters in this model (and where it can go wrong), plus the hard parts of starting a Web3 company: hiring mission-aligned teams, staying focused through noise, and designing systems that can survive contact with real users.
The conversation goes deep on the AI data shortage and how Vana approaches it through decentralized data ownership and data DAOs. Anna breaks down the difference between data DAOs, trusts, and unions, why private data is uniquely valuable, and what the ecosystem has learned from experiments like the Reddit Data DAO concept.
If you’re interested in the future of AI, data rights, and crypto-native coordination, this one is packed.
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