I’ve noticed that the current sorting algorithms prioritize posts based on votes, which can sometimes lead to posts with high votes but few comments dominating the feed. This may not accurately reflect user engagement. On the other hand, sorting by “Most Comments” disregards votes entirely. I believe Lemmy should consider taking into account multiple user engagement metrics in their algorithms like comments, votes, time spent on a post, etc. What are your thoughts on this? Would you prefer a new sorting algorithm that combines various metrics, adjustments to existing algorithms to include more metrics, or do you like the current sorting algorithms available the way they are?
Caching. As an example, an all feed and it’s associated indexes gets cached in the DB’s memory, allowing it to keep pace with thousands of users. And there are millions of posts on a server, sorting has to be done in the DB or the volume of meta in memory would be astounding.