Follows & Replies by @mackuba.eu

Feed that shows all posts from people you follow and all their replies to anyone – kind of like in the original Following feed (though without reskeets). Excludes replies to you, to the same user, and replies made in your own threads. (See also the "Only Replies" and "Only Posts" versions.)

Mutuals by @skyfeed.xyz

Posts from users who are following you back

Confessions of an Instagram Influencer

“Whatever you do in life, it helps to have a following.”

[Draft] Follow anyone — Open Indie

I just wanna keep track of people I care for and find interesting. The type of feed(s) available for subscription (blog, micro-blog, chat...

WTF: The Who to Follow Service at Twitter

This describes the architectural overview including the technologies used behind, building and running the popular service known as “Who To…

WTF: the who to follow service at Twitter | Request PDF

Request PDF | WTF: the who to follow service at Twitter | WTF ("Who to Follow") is Twitter's user recommendation service, which is responsible for creating millions of connections daily between users... | Find, read and cite all the research you need on ResearchGate

Thoughts on a "Web Follow" protocol

Mastodon's cross-instance following is clunky. I propose a solution using the web+follow URL scheme, like mailto, to streamline following users on ActivityPub platforms. A user's home instance registers as a handler for web+follow. Clicking a web+follow link opens the home instance, redirecting to a /follow request on the target instance. This page uses a meta refresh tag to redirect to /resolve-app, which redirects back to web+follow: with the user's ID. This triggers the registered handler (if available), creating a seamless follow experience within the user's preferred app. If no handler is installed, the user remains on the target instance's follow page, preserving existing functionality.

Paper Notes - WTF - The Who to Follow Service at Twitter

Explore Twitter's recommendation system - in-memory graph processing with Cassovary, random walks, and SALSA for user suggestions.

For You by @spacecowboy17.bsky.social

A personalized algorithmic feed based on your likes. It finds people who liked the same posts as you, and shows you what else they've liked recently. https://foryou.club

Choosing to Stay Human

If you go to your favorite social media site, you will find it full of posts that start to look suspiciously similar to each other: