Data

How can we quantify "vibes" on Farcaster? 

In this @paragraph piece, I dive into some fascinating cast data to see what + who drives engagement here.

Let me know your thoughts and if any other areas worth exploring.

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We automatically summarize and cast about the best posts on Paragraph.

How can we quantify "vibes" on Farcaster? 

In this @paragraph piece, I dive into some fascinating cast data to see what + who drives engagement here.

Let me know your thoughts and if any other areas worth exploring. 

https://paragraph.xyz/@castaway/quantifying-vibes

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

Interesting write-up ! "At this stage of its growth, what's kept Farcaster engaging is a core culture of people giving generously - their questions, answers, likes, tips, and ideas." 
Don't you think this is the case of any nascent social media ? smaller = cosier.
But how does a network keep this vibe as it grows ?

Data @ Dune
Prev. Coinbase, Skew, and Goldman Sachs.

This has been the question at 1000, 2000, 40000, 8000, 16000, 32000, 64000, 128000, now ~256000.

Channels, and human behavior keeps it cozy.

Persist the vibe, that was all it was.