hi hi today's HF dataset: All user relationships (follows) ever, you can use this to:

1. Grab following information in bulk instead of using an API
2. Investigate growth over time of the average user vs power users
3. Draw (non dick shaped) visuals

hi hi today's HF dataset: All user relationships (follows) ever, you can use this to:

1. Grab following information in bulk instead of using an API
2. Investigate growth over time of the average user vs power users
3. Draw (non dick shaped) visuals

https://huggingface.co/datasets/jc4p/farcaster-links

I like running, poker and oysters | Founder, Social Forensics (SocialForensics.com) | Berkeley & UPenn | Learning to listen

Tech exec, board member, and advisor to startups and investment groups.  
Builds things.

it is my hope and wish that Geoff never stops, love committing to a bit

awesome stuff kasra!

fans of @geoffgolberg are going to be disappointed in #3

Building @warpcast and @farcaster / dad / like to read, cook, ski, code

it's a very lame method but i have the parquet files on an EC2 instance and then I make requests to a tiny python middleware that takes the input and does a duckdb query -- i mostly only use them as one-offs like calculating a pgsql table of "who are other people's best friends?" for the Guess Who frame

can you / do you / how do you access this data directly from your backends?