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.
38%34%14%8%
Text 38%Image 34%Question 14%Gallery 8%Link 4%Video 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/hackintosh have?
r/hackintosh has about 227.4K members. ViralHunt has tracked 399 of its posts; the biggest reached 3.9K upvotes, which is 17 per 1,000 members.
What is the most viral post on r/hackintosh?
"Hackintosh... but on a phone? (LumiPhone 1020 SE)" reached 3.9K upvotes and 370 comments in 2025, the highest score among the posts we hold from r/hackintosh.
What subreddits are similar to r/hackintosh?
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/hackintosh?
Of the posts we hold, 38% are text posts and 34% are image posts.
When is the best time to post on r/hackintosh?
Across 399 timestamped posts we hold, the slots whose posts averaged the highest score are Monday at 19:00 UTC (1.2K avg upvotes), Sunday at 10:00 UTC (805 avg upvotes), Tuesday at 17:00 UTC (713 avg upvotes). The busiest day is Friday. 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/hackintosh?
The 20th-best post we hold from r/hackintosh has 1.2K upvotes, so that is roughly the bar for the top twenty. We captured 110 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/hackintosh, 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 We deliberately do not publish an average score: our sample is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.