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.
98%
Image 98%Video 1%Text 1%
What the ceiling looks like
The biggest posts we have captured here. Links go to the original on Reddit.
Answered from the posts ViralHunt holds from this community, not from Reddit's own about page.
What is r/MathJokes?
r/MathJokes ("Math Jokes") is a Reddit community. It was founded in 2012 and has 123.6K members.
How many members does r/MathJokes have?
r/MathJokes has about 128.4K members. ViralHunt has tracked 105 of its posts; the biggest reached 36.6K upvotes, which is 285 per 1,000 members.
What is the most viral post on r/MathJokes?
"Interesting survey!" reached 36.6K upvotes and 105 comments in 2025, the highest score among the posts we hold from r/MathJokes.
What subreddits are similar to r/MathJokes?
Communities of a comparable size we track: r/greenland, r/Leakednews, r/stevehofstetter, r/StrikeAtPsyche, r/PopularCultureZone, r/topofreddit.
What kind of posts do best on r/MathJokes?
Of the posts we hold, 98% are image posts and 1% are video posts.
When is the best time to post on r/MathJokes?
Across 105 timestamped posts we hold, the slots whose posts averaged the highest score are Monday at 13:00 UTC (8.3K avg upvotes), Tuesday at 07:00 UTC (7.3K avg upvotes), Friday at 13:00 UTC (6.4K avg upvotes). The busiest day is Sunday. 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/MathJokes?
The 20th-best post we hold from r/MathJokes has 10.8K upvotes, so that is roughly the bar for the top twenty. We captured 1 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/MathJokes, 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 We deliberately do not publish an average score: our sample is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.