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.
100%
Image 100%
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/ScarySigns?
r/ScarySigns ("Signs found in the world that you don't want to be near!") describes itself this way: Signs that stop you in your tracks. It was founded in 2014 and has 439.5K members.
How many members does r/ScarySigns have?
r/ScarySigns has about 438.8K members. ViralHunt has tracked 101 of its posts; the biggest reached 39.1K upvotes, which is 89 per 1,000 members.
What is the most viral post on r/ScarySigns?
"Scary-sad, but comforting to know you can be safe." reached 39.1K upvotes and 548 comments in 2020, the highest score among the posts we hold from r/ScarySigns.
What subreddits are similar to r/ScarySigns?
Communities of a comparable size we track: r/Trumpvirus, r/alaska, r/Louisiana, r/popculture, r/Antimoneymemes, r/BlueskySkeets.
What kind of posts do best on r/ScarySigns?
Of the posts we hold, 100% are image posts.
When is the best time to post on r/ScarySigns?
Across 101 timestamped posts we hold, the slots whose posts averaged the highest score are Sunday at 20:00 UTC (12.2K avg upvotes), Monday at 01:00 UTC (9.8K avg upvotes), Tuesday at 15:00 UTC (9.3K 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/ScarySigns?
The 20th-best post we hold from r/ScarySigns has 10.3K upvotes, so that is roughly the bar for the top twenty.
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/ScarySigns, 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 We deliberately do not publish an average score: our sample is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.