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

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

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

1000% but it's funny i didn't even realize this before, the frames logic was "I want people to have fun" and the HF dataset logic was "THE DATA DEMANDS TO BE FREE AND PUBLICLY ACCESSIBLE" but you're totally right they go hand in hand

interesting, makes sense

the secret sauce of making interesting Farcaster apps is effectively leveraging this social data which is admittedly not easy to do

the fact you're figuring out these hard data problems and your frames are having the massive success they're having are strongly related imo