The DeFi landscape has significantly evolved since 2018 when Chainlink was launched. Recent developments such as L2 rollups, liquid staking, restaking and the rise of BTC DeFi have created huge demand for more customizable, modular oracles that would be able to provide accurate data for countless use cases, crosschain. RedStone set out to do exactly that and are now securing over $6.6 bn worth of assets (1000+ assets), across more than 60 chains, without a single mispricing event.

Topics discussed in this episode:
- Marcin’s background
- Early oracle landscape
- RedStone’s technical architecture
- Network incentives
- Data aggregation module
- Node operator module
- Push vs. Pull oracles
- RedStone’s business model
- The role of RedStone token
- Pyth vs. RedStone
- Restaking
- Oracle extractable value
- Synergies between oracles and institutional investors

Links mentioned in this episode: 
- Marcin Kaźmierczak on X: https://bit.ly/4j7JJpu
- RedStone on X: https://bit.ly/3BPwd9r

Sponsors: 
- Chorus1: Chorus One is one of the largest node operators worldwide, supporting more than 100,000 delegators, across 45 networks. The recently launched OPUS allows staking up to 8,000 ETH in a single transaction. Enjoy the highest yields and institutional grade security at chorus.one - 
- Gnosis: Gnosis builds decentralized infrastructure for the Ethereum ecosystem, since 2015. This year marks the launch of Gnosis Pay— the world's first Decentralized Payment Network. Get started today at gnosis.io -

This episode is hosted by Brian Fabian Crain. Show notes and listening options: https://epicenter.tv/581

#581 Marcin Kaźmierczak: RedStone – The Oracle Pioneering the Future of DeFi

Epicenter is a podcast about the technologies, projects & people driving decentralization and the global blockchain revolution.

Epicenter is hosted by Brian Fabian Crain, Sebastien Couture and Meher Roy. Every week, we find the most interesting people in the industry for in-depth discussions about their projects, ideas and stories.

Popular tracks tagged #pyth,