Content pfp
Content
@
https://warpcast.com/~/channel/theai
0 reply
0 recast
0 reaction

ted (not lasso) pfp
ted (not lasso)
@ted
solid, easy-to-grok AI-related read on reverse engineering algorithms. ultimately learns that the difference between posts that went viral vs. not viral wasn't the quality of the topic, but timing, luck, and social momentum. users get influenced by existing engagement numbers, position on the page, whatever else is trending that day. author even provides a Claude template for businesses to create their own virtual Hacker News prompt to see how different stories may perform. https://every.to/also-true-for-humans/i-cloned-2-000-hacker-news-users-to-predict-viral-posts
2 replies
2 recasts
26 reactions

Giuliano Giacaglia 🌲 pfp
Giuliano Giacaglia 🌲
@giu
This matches my experience with social media. It is so hard for me to predict which posts will go viral versus which will go viral. If it gets momentum early on by some people that like the content, then more people are prone to like the post and the algo rewards it.....
0 reply
0 recast
1 reaction

Web3Gen0 pfp
Web3Gen0
@web3gen0
Now I see why my posts never go viral :( The only time I earned from Farcaster when you replied to my comment lol
0 reply
0 recast
0 reaction