Comparison of Tendermint and Hyper BFT Algorithms with a Focus on Performance Enhancements and an Ad for Wormhole

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This chapter delves into the differences between Tendermint and Hyper BFT algorithms, emphasizing the asynchronous nature of Hyper BFT and the absence of inherent wait times. It also touches on the evolution from Tendermint's research-focused implementation to the performance-enhancing iterative improvements of Hyper BFT, along with an advertisement for Wormhole, an interoperability platform supporting multi-chain bridges and applications.

In this episode, Jeff Yan, Co-founder of Hyperliquid, joins to discuss Hyperliquid’s journey and growth thus far. He provides insights into how they developed the HyperBFT consensus algorithm, Hyperliquid’s Vault System, and their plans to decentralize the Hyperliquid L1. Jeff also gives his thoughts on competing with Centralized Exchanges, and what’s in store for Hyperliquid in the future.

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Timestamps:

(0:00) Introduction

(1:50) Hyperliquid Overview

(6:05) Competing with Centralized Exchanges

(7:51) Hyperliquid's Vault System & Bridging Experience

(13:59) The Hyperliquid L1

(19:11) Building the HyperBFT Consensus Algorithm

(21:26) Wormhole Ad

(22:04) Pear Ad

(22:30) Products Built on Top of the Hyperliquid L1

(32:30) Decentralizing the L1

(38:19) Bootstrapping Hyperliquid

(42:10) Consolidating Users on One Chain

(45:36) Future Plans for Hyperliquid

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Disclaimer: Nothing said on 0xResearch is a recommendation to buy or sell securities or tokens. This podcast is for informational purposes only, and any views expressed by anyone on the show are solely our opinions, not financial advice. Boccaccio, Carolina, and our guests may hold positions in the companies, funds, or projects discussed.