Conversations with the founders, protocol architects, and enterprise operators building the financial infrastructure layer for the autonomous economy.
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Sreeram Kannan is the founder of EigenLayer, the protocol that invented the concept of crypto-economic restaking — a primitive that allows Ethereum validators to extend cryptoeconomic security to new protocols without requiring them to bootstrap their own validator sets.
Before EigenLayer, Sreeram was an Associate Professor of Electrical and Computer Engineering at the University of Washington, where his research focused on information theory, blockchain scalability, and distributed systems. He holds a PhD from the University of Illinois Urbana-Champaign.
EigenLayer has raised over $164M from investors including a16z crypto, Polychain, Hack VC, Blockchain Capital, and dao5, and today secures over $14B in Ethereum TVL across 120+ Actively Validated Services (AVS).
Sreeram walks through the invention of restaking, why Ethereum's economic security was always the deepest moat in crypto, and how EigenLayer unlocks an entirely new design space for protocols that can now share that security without bootstrapping their own validator sets. We cover the mental models behind choosing which ideas to pursue, his framework for early-stage fundraising, the operational playbook for scaling from 1 to 10, and what he's watching in 2026.
Michael Heinrich is the Co-founder & CEO of 0G Labs, the team building the world's first decentralized AI operating system — a modular blockchain purpose-built for AI workloads that need sub-second finality and massive data throughput.
Before 0G, Michael was the CEO of Garten (YC-backed, $100M+ raised) and held roles at Allianz, SAP, and Bain & Company. He holds an MBA from Stanford's Graduate School of Business.
0G Labs has raised significant funding from top-tier Web3 investors and is building toward becoming the foundational infrastructure layer for on-chain AI agents, models, and data marketplaces.
Michael Heinrich on building 0G — the modular AI blockchain designed to make on-chain AI viable at scale. We explore why current infrastructure can't support the data throughput AI workloads demand, how 0G's design separates consensus, storage, and compute into modular layers, and Michael's thesis on where decentralized AI ends up being the only real option.
Prabal Banerjee is a Co-founder of Avail, a trust-minimized modular blockchain focused on data availability — the foundational layer that lets rollups and app-chains scale without sacrificing security.
Prabal is a cryptography researcher with a PhD in theoretical computer science. Before Avail, he worked on cryptographic protocol design and was involved in Polygon's early scaling research. Avail was spun out of Polygon in 2023 to independently focus on the data availability layer of the modular stack.
Avail has raised $75M+ in funding from Founders Fund, Dragonfly, Cyber Fund, and Figment Capital, and its testnet has processed billions of transactions across its Data Availability, Nexus, and Fusion layers.
Prabal Banerjee on Avail's thesis that the future of blockchain is modular — where data availability, execution, and settlement become specialized, independently optimized layers. We discuss the origin story of spinning Avail out of Polygon, why data availability is the missing primitive for the rollup-centric future, and how Avail's light client design fundamentally changes scalability economics.
Trevor Koverko is a Co-founder of Sapien, a decentralized AI data network that pays humans to label, verify, and contribute high-quality data for AI model training — with quality guaranteed through gamified, game-theoretic consensus.
Trevor is a long-time builder at the intersection of tokenization and real-world utility. He previously co-founded Polymath, a pioneering security token platform, and has been active across Web3 infrastructure for nearly a decade. His focus has always been on designing tokenized systems that create durable economic activity rather than speculative cycles.
Sapien has built one of the largest decentralized data workforces in Web3, with contributors across 60+ countries producing labeled data for Fortune 500 AI customers, research labs, and protocol-level AI builders.
Trevor Koverko on why the bottleneck for AI isn't compute or models — it's high-quality, domain-specific data. Sapien is building a gamified, Web3-native data labeling network that turns data contribution into an economic activity rewarded by tokens. We cover the architecture of Sapien's labeling pipelines, the game-theoretic design that ensures quality, and why Trevor believes on-chain data marketplaces become a $100B+ category.
Art Abal is a Co-founder of Vana, the first Layer 1 blockchain where users own, govern, and monetize the data they generate — flipping the data-extraction model of Web2 into a data-ownership economy.
Before Vana, Art led product and engineering teams across Web3 infrastructure companies, focusing on the intersection of privacy, cryptography, and user-centric economics. He's been deeply involved in the broader conversation around data sovereignty and consent-based AI.
Vana has raised $25M from Paradigm, Coinbase Ventures, Polychain, and MH Ventures, and today powers dozens of Data DAOs where users pool, govern, and license their data to AI model builders.
Art Abal on Vana — the first Layer 1 built to make user data a first-class asset class, where individuals own, govern, and monetize their personal data rather than surrendering it to platforms. We explore Vana's Data DAO architecture, the privacy-preserving technology stack that keeps user data cryptographically sealed, and why Art believes the next decade of AI will be defined by data ownership economics.