Data

I’d love to see a visualization of the journey that a $noice takes. 

How frequently does it change hands? How many accounts does it touch? 
How many times does it come back to the same wallet, from a previously traveled path or new? 
What accounts get tipped $noice and effectively end the tokens journey. 

Tracking the journey would be easy, what would be the best visualization?

worked with @noiceapp to better understand their ecosystem of curators (accounts giving tips) and creators (accounts receiving tips)

interactive map (~30k accounts!) may be found here https://maps.socialforensics.com/noice/#noiceapp https://farcaster.xyz/noiceapp/0x2375337c https://farcaster.xyz/noiceapp/0x590113af

I like running, poker and oysters | Founder, Social Forensics | Berkeley & UPenn | Learning to listen

Love Geoff’s viz’s- similar but slightly different

More like this:

loading...built interested.fyi + peeple.work || ex mesh.xyz

@vinaydebrou.eth is also interested in this

Love Geoff’s viz’s- similar but slightly different

More like this: https://observablehq.com/@visionscarto/routing-dollars

cc @geoffgolberg 

https://farcaster.xyz/geoffgolberg/0x88e1861b

these are some great questions, will make for great storytelling as well

I have previously spend time doing Network Analytics on Farcaster, and while great, I wanted to devote some energy into doing this on mainnet chains. Below is an image of a graph community from a very large Ethereum network. You can see it's just chains of payments as if people are moving funds back and forth between a group of accounts, but doing it in long chains.

I would go pretty far in saying this is completely botted.

I'm starting to hit the point where if I had a few billion dollars lying around, I would start an activist short fund where we basically look at the data and write journalist articles about how many of these protocols have obviously fake user interactions, and short the market on those tokens.

Who wants to be the Micheal Burry of crypto? Can that guy send me a message ASAP?

Check DMs. I might be able to help with pulling some of the raw tx data. Below is some of the flows for a day with USDC on Polygon. It's not super hard to do and just takes a small script, but the costs increase the further back in the chain you go.

Check DMs. I might be able to help with pulling some of the raw tx data. Below is some of the flows for a day with USDC on Polygon. It's not super hard to do and just takes a small script, but the costs increase the further back in the chain you go.

https://farcaster.xyz/monteluna/0xdb2f4e04