Monad BFT Consensus Mechanism

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They discuss the Monad BFT consensus mechanism and its various optimizations including a heavily optimized gossip layer, P2P, mempool, and broadcast trees for proposals. They also mention the use of probabilistic assembly for efficient data transmission and deferred execution as another feature.

In this week's interview Dan and Sam are joined by James Huntsaker, co-founder of Monad, a rising L1 project focused on optimizing and scaling the Ethereum Virtual Machine (EVM). The conversation delves deep into Monad's technical architecture, its challenges, and how it differentiates itself in an increasingly competitive L2 and L1 landscape. Find out how Monad utilizes hardware to its full potential, its roadmap, and how it aims to enable truly scalable, secure EVM based applications.

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Hexens is the premier cybersecurity provider in web3 with an essential focus on blockchain technologies. Always exceeding clients’ expectations, Hexens is a trusted security partner of the most prominent web3 projects like Polygon & zkEVM, 1inch, Lido, Nubank, TON, Risc0, EigenLayer, Mantle, Celo and more.

https://hexens.io/

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Timestamps:

(00:00) Introduction

(02:58) Monad's Key Design Difference

(08:25) “Hexens Ad’

(09:29) Monad Parallel Execution Design

(15:27) Monad BFT and Consensus Mechanism

(25:01) Monad DB - Database Structure

(32:34) Managing State Bloat

(37:48) Monad Client C++ and Rust Decision

(43:39) Are L2s Necessary?

(46:20) Transaction Fees

(48:43) Enabling Next Gen Apps

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Resources

Resource Docs

https://docs.monad.xyz/

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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. Dan, Sam, and our guests may hold positions in the companies, funds, or projects discussed.