In this episode I invited Jay Jog, the cofounder of Sei Labs, to discuss the optimization and innovation that Sei Network has done for on-chain orderbook trading. We touched upon some interesting topics such as the MEVs on different L1s and how the orderbook matching engine on Sei works.
Show notes:
Core team members' background and why did they start Sei Labs
The purpose of Sei Network
Sei's optimization done for the on-chain orderbook
About front-running prevention and MEV opportunities
User experience on Sei that optimized for trading on chain
Comparing the order matching engine with Serum
Cross-chain bridging
The roadblocks for on-chain orderbook DEXs to get mass adoption
How can someone build with Sei and apply for the ecosystem fund today
推特: @SeiNetwork / @jayendra_jog
重要声明：Mable Jiang或嘉宾在播客中的观点仅代表他们的个人看法。此播客仅用于提供信息，不作为投资参考。Mable Jiang有时可能会在此节目中讨论的某项目中持有头寸。
Twitter: @SeiNetwork / @jayendra_jog
Website: linktr.ee/seinetwork
Important Disclaimers: All opinions expressed by Mable Jiang, or other podcast guests, are solely their opinion. This podcast is for informational purposes only and should not be construed as investment advice. Mable Jiang may hold positions in some of the projects discussed on this show.
Relevant Links:
Whitepaper: https://docs.seinetwork.io/introduction/overview
Apply for Sei Ecosystem Fund: https://y8e47wadwqp.typeform.com/to/Ia7t8DxY