Epicenter - Learn about Crypto, Blockchain, Ethereum, Bitcoin and Distributed Technologies Epicenter Media Ltd.
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Epicenter brings you in-depth conversations about the technical, economic and social implications of cryptocurrencies and blockchain technologies. Every week, we interview business leaders, engineers academics and entrepreneurs, and bring you a diverse spectrum of opinions and points of view.
Epicenter is hosted by Sebastien Couture, Brian Fabian Crain, Friederike Ernst, Meher Roy and Felix Lutsch. Since 2014, our episodes have been downloaded over 8 million times.
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Safe: Securing $100 Billion of Crypto Assets - Lucas Schor
We were joined by Lukas Schor, co-founder of Safe, to discuss Gnosis’ role in building early Ethereum infrastructure and tooling, and how Safe branched out to help secure >$100Bn worth of assets.
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Saga: 'Ethereum and Solana CAN NOT Scale. Our Chainlets Fix This!' - Rebecca Liao
We were joined by Rebecca Liao, co-founder & CEO of Saga, to discuss blockchain scalability, its effects on dApp development and how Saga chainlets could provide 'infinite' horizontal scaling.
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Movement Labs: 'Facebook's MOVE Will Bring Billions of Users to Crypto' - Rushi Manche
We were joined by Rushi Manche, co-founder of Movement Labs, to discuss the rise of modern VMs and how Move-VM aims to offset Ethereum’s shortcomings through parallelisation.
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Wintermute: 'Avoid These Trading Mistakes!' Secrets of a Market Maker - Yoann Turpin
We were joined by Yoann Turpin, co-founder of Wintermute, to discuss the ever-changing trading landscape, the skills needed to succeed, and how a top-level market making firm operates.
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Gearbox Protocol: 'DeFi Is Boring, Let's Reinvent Credit' - Ivan & Mikael Lazarev
We were joined by Mikael Lazarev and Ivan from Gearbox Protocol, to discuss how they aim to create a universal and composable on-chain credit layer, through credit account abstraction.
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Humayun Sheikh: Fetch AI – Decentralising AI Economies
We were joined by Humayun Sheikh, co-founder & CEO of Fetch.ai, to discuss AI economic models and how LLMs can be integrated by agentic systems as a foundation for autonomous AI apps.