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.
32%24%13%12%11%8%
Text 32%Image 24%Question 13%Gallery 12%Video 11%Link 8%
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/ebikes have?
r/ebikes has about 281.7K members. ViralHunt has tracked 577 of its posts; the biggest reached 5.3K upvotes, which is 19 per 1,000 members.
What is the most viral post on r/ebikes?
"Proof of Concept: It's getting cold out, so I thought I'd make my cat a heated basket." reached 5.3K upvotes and 216 comments in 2019, the highest score among the posts we hold from r/ebikes.
What subreddits are similar to r/ebikes?
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/ebikes?
Of the posts we hold, 32% are text posts and 24% are image posts.
When is the best time to post on r/ebikes?
Across 577 timestamped posts we hold, the slots whose posts averaged the highest score are Monday at 22:00 UTC (1.3K avg upvotes), Wednesday at 06:00 UTC (1.2K avg upvotes), Tuesday at 04:00 UTC (748 avg upvotes). The busiest day is Wednesday. 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/ebikes?
The 20th-best post we hold from r/ebikes has 1.6K upvotes, so that is roughly the bar for the top twenty. We captured 302 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/ebikes, 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 We deliberately do not publish an average score: our sample is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.