The mix of post types among everything we have captured. Posting a link where almost nothing but images lands is wasted effort, and this is the fastest way to see it.
48%20%15%10%
Image 48%Text 20%Gallery 15%Question 10%Video 6%
The topics it labels
Flairs are the community's own categories, and the closest thing a subreddit has to telling you what it wants.
Answered from the posts ViralHunt holds from this community, not from Reddit's own about page.
How many members does r/libraryofruina have?
r/libraryofruina has about 53.1K members. ViralHunt has tracked 300 of its posts; the biggest reached 3.4K upvotes, which is 63 per 1,000 members.
What is the most viral post on r/libraryofruina?
"Talking about Family [@PKEIIQ]" reached 3.4K upvotes and 117 comments in 2026, the highest score among the posts we hold from r/libraryofruina.
What subreddits are similar to r/libraryofruina?
Communities of a comparable size we track: r/themayormccheese, r/greenland, r/Astuff, r/FreeFolkNation, r/InvictaSolaris, r/Leakednews.
What kind of posts do best on r/libraryofruina?
Of the posts we hold, 48% are image posts and 20% are text posts.
When is the best time to post on r/libraryofruina?
Across 300 timestamped posts we hold, the slots whose posts averaged the highest score are Tuesday at 00:00 UTC (1.1K avg upvotes), Saturday at 12:00 UTC (714 avg upvotes), Wednesday at 13:00 UTC (614 avg upvotes). The busiest day is Friday. For Reddit as a whole, see the best time to post on Reddit page.
How many upvotes does a post need to reach the top of r/libraryofruina?
The 20th-best post we hold from r/libraryofruina has 939 upvotes, so that is roughly the bar for the top twenty. We captured 300 posts from it in the last 30 days.
See what is climbing here before you write
ViralHunt tracks Reddit and eight other networks, records how every post grows, and puts what is taking off in front of your team in one list.
Every figure here is what ViralHunt has captured from r/libraryofruina, not everything the
community has ever posted. We deliberately do not publish an average score: our sample is
weighted toward a community's best posts, so an average would be flattering and wrong.
Peak per 1,000 members is computed the same way for every community listed.
See how we measure.