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Exponential: A Nexus Podcast

Exponential: A Nexus Podcast

By: Nexus
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Exponential is a Nexus podcast about people, code, and capital.

© 2026 Exponential: A Nexus Podcast
Episodes
  • Episode 31: Growing SheFi
    Apr 29 2026

    A conversation with Maggie Love, the founder of SheFi, about six years of building one of crypto's largest education communities.

    The idea for SheFi arrived on a run in 2019. Love had been at ConsenSys long enough to live through the 2018 bear market, and as the first DeFi teams began to form she noticed two things at once: people were earning twenty percent on their tokens through MakerDAO and Compound, and none of the people building or talking about it on stage at ETHDenver looked like her.

    Find more details about this episode on the Nexus blog.

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    35 mins
  • Episode 30: Selective Disclosure
    Apr 22 2026

    Hank Korth has watched a lot of distributed systems cycles come and go.

    A professor in the Department of Computer Science and Engineering at Lehigh University — with an appointment in the business college and as the lead at Lehigh Blockchain — he has been thinking about networked systems since the late 1980s, when his database research examined how independently administered systems could transact across a network.

    On this episode of Exponential, he joined the show to talk about where his students and research team are concentrating their attention now: zero-knowledge acceleration, onchain privacy that can coexist with regulation, and the agentic era beginning to take shape beneath the headlines.

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    32 mins
  • Episode 29: From Nodes to Agents
    Apr 2 2026

    Mrudul Gole, Head of Business Development at NodeOps, joined Exponential to trace the arc of a company that started as a blockchain validator and is now building the infrastructure layer for the AI era.

    The conversation covered the evolution of decentralized compute, the unlikely synergies between blockchain and AI, and a bold prediction about what dev teams will look like in six months.


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    37 mins
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