[derefr]

I would note that YouTube/Twitch content-creators create subreddits for a very specific reason: they ask their communities to share links to "relevant" content there, and to upvote the links that the community would most want the content-creator themselves to see. Then, when the content-creator feels too lazy to make real content, they instead start a screen-recording + video session, sort their subreddit by "top - this week", and start clicking through the posts and live-reacting to them.

It's in theory equivalent to a "share things for me to react to" Discord channel — but the fact that it's Reddit means that it has automatic chronologically-segmented userbase-wide voting rounds applied to the links, which makes it easy for the content-creator to react "blind" to a bunch of "interesting" things in a row, without needing to do any pre-filtering for things they haven't seen yet, or editing out boring things, or showing anything that would break content-guidelines on a livestream.

Does your software have an answer to this use-case?

[dsir]

So within a community on our platform the creator can create different discussion boards for all the relevant topics related to their niche. Within those discussion boards, posts can get "bumped" to increase their relevancy within the board. We have an aggregation feed as well which shows the most relevant posts across each board within the community. We are working on expanding the ways in which we aggregate the most topical posts across different time spans for the reasons you mentioned.

As far as content moderation, we are leaving it mainly up to each community to self moderate. We are also looking into leveraging AI to assist with flagging posts for the moderators to review to help improve their job.