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How are we going to pay for all this? (sh.itjust.works)

submitted 1 year ago* (last edited 1 year ago) by psylancer@sh.itjust.works to c/asklemmy@lemmy.ml

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I'm really enjoying lemmy. I think we've got some growing pains in UI/UX and we're missing some key features (like community migration and actual redundancy). But how are we going to collectively pay for this? I saw an (unverified) post that Reddit received 400M dollars from ads last year. Lemmy isn't going to be free. Can someone with actual server experience chime in with some back of the napkin math on how expensive it would be if everyone migrated from Reddit?

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[–] honk@feddit.de 3 points 1 year ago (7 children)

I don't believe this is how it works though.

Let's say your tiny 3 person instance is connected to a big one. I believe it only pulls in content from the communities somebody from the small instance is subscribed too. Correct me if I'm wrong.

[–] panoptic@fedia.io 4 points 1 year ago (4 children)

That's what they're saying.

Essentially - if someone from the small instance subscribes to a community that has a ton of data (huge post volume, images, whatever), the small instance needs to pull data over from the larger instance. At some point there may be communities that are so large small instances can't pull them in without tanking.

[–] ShadowAether@sh.itjust.works 1 points 1 year ago (1 children)

Could that be solved by caching? Can't the smaller instance avoid some duplication?

[–] panoptic@fedia.io 1 points 1 year ago

If I'm reading the protocol right, it's probably larger instances that will avoid more duplication, since:

There's a higher chance they're going to have more communities shared among users (for really tiny instances you're probably going to get a lot of overlap since those people likely have interconnected interests, but I expect that would fall off quickly, but then converge at scale).
The larger number of users will mean they 'use' more of the content they're pulling down (I can't read all of a highly active community in a day, but 1000 people together checking through the day might 'use' it all).

I'm not sure I see where you see caching fitting in.
I am surprised I don't see some kind of lower resolution digest concept in the protocol (which might be what you're looking for)

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