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.
Answered from the posts ViralHunt holds from this community, not from Reddit's own about page.
What is r/technicallytrue?
r/technicallytrue ("Technically True") describes itself this way: Technically True Facts. It was founded in 2014 and has 59.6K members.
How many members does r/technicallytrue have?
r/technicallytrue has about 59.4K members. ViralHunt has tracked 322 of its posts; the biggest reached 33.8K upvotes, which is 570 per 1,000 members.
What is the most viral post on r/technicallytrue?
"Got it!" reached 33.8K upvotes and 3.3K comments in 2021, the highest score among the posts we hold from r/technicallytrue.
What subreddits are similar to r/technicallytrue?
Communities of a comparable size we track: r/greenland, r/Leakednews, r/LetsDiscussThis, r/stevehofstetter, r/StrikeAtPsyche, r/InvictaSolaris.
What kind of posts do best on r/technicallytrue?
Of the posts we hold, 88% are image posts and 5% are text posts.
When is the best time to post on r/technicallytrue?
Across 322 timestamped posts we hold, the slots whose posts averaged the highest score are Thursday at 11:00 UTC (11.3K avg upvotes), Tuesday at 13:00 UTC (10.8K avg upvotes), Friday at 05:00 UTC (9.1K avg upvotes). The busiest day is Thursday. 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/technicallytrue?
The 20th-best post we hold from r/technicallytrue has 7.9K upvotes, so that is roughly the bar for the top twenty. We captured 33 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/technicallytrue, 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 We deliberately do not publish an average score: our sample is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.