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.
62%31%
Text 62%Question 31%Video 5%Link 2%
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/MusicRecommendations have?
r/MusicRecommendations has about 209.6K members. ViralHunt has tracked 303 of its posts; the biggest reached 229 upvotes, which is 1 per 1,000 members.
What is the most viral post on r/MusicRecommendations?
"Story telling songs" reached 229 upvotes and 1.7K comments in 2026, the highest score among the posts we hold from r/MusicRecommendations.
What subreddits are similar to r/MusicRecommendations?
Communities of a comparable size we track: r/Leakednews, r/circled, r/Global_News_Hub, r/FBI, r/Trumpvirus, r/alaska.
What kind of posts do best on r/MusicRecommendations?
Of the posts we hold, 62% are text posts and 31% are question posts.
When is the best time to post on r/MusicRecommendations?
Across 303 timestamped posts we hold, the slots whose posts averaged the highest score are Tuesday at 22:00 UTC (67 avg upvotes), Wednesday at 22:00 UTC (60 avg upvotes), Monday at 04:00 UTC (60 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/MusicRecommendations?
The 20th-best post we hold from r/MusicRecommendations has 25 upvotes, so that is roughly the bar for the top twenty. We captured 303 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/MusicRecommendations, 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 We deliberately do not publish an average score: our sample is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.