
Web3 Innovators #112 - Chainlens Spaces: Scaling the EVM with BlockDAG on Waterfall Network
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Oct 28, 2024 Sergii Grybniak, Head of Research at Blue Wave Inc. and Waterfall Network, holds a PhD specializing in directed acyclic graphs (DAGs). In this chat, he outlines how BlockDAG can scale Ethereum’s Virtual Machine while navigating the challenges of decentralization. Sergii shares insights from his PhD journey that led to the creation of Waterfall Network, focusing on low hardware requirements for validators and a vision for virtually unlimited sharding. He believes DAG technology is key to the future of decentralized, high-performance networks.
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PhD Research Became Waterfall Network
- Sergii traced Waterfall Network back to his PhD research on directed acyclic graphs (DAGs).
- He turned academic research into a production project after years building Ethereum-inspired tools.
DAGs Unlock Multi-Level Parallelism
- DAGs enable parallelism at multiple levels to increase scalability and decentralization.
- Sergii views DAGs as a way to reduce the trade-off between scalability and decentralization.
Eight Testnets Led To Mainnet
- Waterfall ran eight testnets from 2021 before launching mainnet.
- Sergii says the mainnet shows promising intermediary results but the team remains cautious.

