EthereumZuri.ch 2024

Andra Fecioru

Andra blends her rich background in data and AI with a keen interest in blockchain technology at TokenFlow, where she's is transforming how we understand and interact with blockchain data.Leveraging her experience from building traditional Web2 data-centric AI platforms to the dynamic world of Web3, Andra passionate about developing products that tackle complexity head-on, enabling scalable insights. Currently, she focuses on making blockchain analytics accessible and actionable, contributing to the ecosystem's growth and transparency


Session

04-05
11:45
30min
Why diffs matter?
Andra Fecioru

The current state of blockchain analytics is limited. Traditional methods focus on basic data like events and calls, missing the depth of data processed by the EVM. Storage, an essential yet often overlooked component in EVM-compliant blockchains, is key to maintaining consistency, supporting smart contracts, conserving resources, and enhancing security.
Accessing and interpreting 'storage diffs' (changes in storage) at scale poses significant technical and computational challenges. Decoding these storage diffs is even more complex. A standard RPC method like getStorageAt method falls short in shedding light on storage changes. Moreover, the need to decode hashes of slots and keys adds another layer of difficulty, especially when dealing with hash maps without precise hash knowledge.
There’s a however a method to simplify the use of storage by indexing and decoding every storage and state change. This innovation allows analysts to effortlessly query and interpret data previously inaccessible to them.
We will showcase how storage diffs can be used to track token supplies without needing in-depth knowledge of their implementation and therefore streamline DeFi accounting processes. We'll demonstrate how fully decoded datasets provide powerful insights, even to analysts with limited expertise in blockchain or smart contracts.

EVM & L1 optimization
Merge Stage