So personally I'd be wary of adopting it. I think it's likely the API gets locked down and the comments break in a couple of years.
and would say the bright side of the "enshittification cycle" is that we get nice places for a while and then we can move on. It's not like people party at the Mudd Club or CBGB anymore and why should they? Theory at
They also sold a bunch of shirts as a stunt against Meta earlier this year, and the shirt sales were more revenue than the domains had been.
You aren't wrong, there will be a turn at some point just like there was with Twitter, but then the same is true of 'AI' and people seem happy to go all-in on that. If VC's want to burn their money on the dream of becoming some new kind of rich... good, let them. Sure it turns sour after a while (Uber, Doordash, etc)... but enjoy the largess before they figure out there's no magic money tree in those hills.
...and you loose access to all your messages and network.
Data is hosted on PDSs (which are already super cheap to host and are not resource-intensive because they’re just storing data and not doing much computation). They’re not “talking to each other” or serving the web app like Mastodon servers do — they just store your commits like Git and let you subscribe to that stream. I don’t know what “relatively large” means to you as most independent PDS’s are individual people hosting their own data (so they’re actually small) but this sector is growing.
Then, there’s relays (not a lot now but again, they’re now much cheaper to run since Sync 1.1 updates).
And then there’s AppViews (which are more expensive to run because it’s like running an actual app backend with database and all that). Which isn’t too bad if you serve a smaller userbase but is harder if you want to serve millions of people like Bluesky’s own AppView does. Normal considerations of “running a web app for millions of users” apply here. But keep in mind that people on all backends see exactly the same data — it’s not being sent back and forth like messages between “federated servers” like on Mastodon. It’s being aggregated from the entire network via relay(s). So if I want to run a Bluesky backend (aka AppView) for a small group of people, I can do that relatively cheap and see the same content as the rest of the network sees. If my content goes viral, my servers won’t go down because going viral has nothing to do with the load on AppView. The load on AppView is just about how many people are hitting my own backend from their browsers (apps) — nothing to do with which server I have chosen to store data on (PDS) or to host my custom web app on (AppView).
So when you say “list of servers”, what kind of servers are you referring to? They all have different incentives to run (I’ve enumerated them above) and different relation to the user (PDS is something you choose, akin to hosting; AppView is determined by your client; relay is kind of behind the scenes and determined by AppView). And if you’re concerned about the load, I want to better understand which scenario you’re describing.