its widely accepted that people trust and engage with other people more than they do with brands

Farcaster is a great example of this. The network's success stems from the tight knit community of people who keep coming back every day to engage with each other and there are almost no brand accounts

Social apps need to be designed with this in mind
 
If you're an app builder we can help you leverage those network effects in the best possible ways with our user recommendation and API calls like:

1. returning a list of similar users for an input user_id (fid)
2. taking text as input and search for users that are "similar" to the content of the text
3. returning a list of users based on a channel and event_type (like, share, comment)

We're actively supporting devs who experiment with adding social context and social graph based recommendations to their app. If this sounds like you would love to chat!

