Data

GM

Did a deep dive into channels and wrote out key findings:

- How much overlap is there between users?
- What are the different flavors of chaneloooors?
- What's the dispersion of topics (crypto native vs general purpose)?

Hope you enjoy 🙏

GM

Did a deep dive into channels and wrote out key findings:

- How much overlap is there between users?
- What are the different flavors of chaneloooors?
- What's the dispersion of topics (crypto native vs general purpose)?

Hope you enjoy 🙏 

https://paragraph.xyz/@castaway/channels-and-crypto-natives

cooking @askgina.eth | prev: blockchain research @coinbase | sidshekhar.com | askgina.ai

This is fantastic 💯

How did you get/process the data? I'd love to have a live version of these visualisations

easiest way to build on farcaster @ neynar.com | /neynar

let's build clank.fun. prev: web3 founder, improbable, github, amazon. ntik.me

thanks! All the data sourced from @neynar hosted DBs. Can probably make a running version on Dune!