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.
42%36%21%
Gallery 42%Image 36%Video 21%Link 1%
The topics it labels
Flairs are the community's own categories, and the closest thing a subreddit has to telling you what it wants.
Images 92Videos 26Chun-Li 1
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/CallinaLiang?
r/CallinaLiang describes itself this way: Dedicated to Chinese/Canadian actress Callina Liang. It was founded in 2025 and has 22.2K members.
How many members does r/CallinaLiang have?
r/CallinaLiang has about 22.2K members. ViralHunt has tracked 119 of its posts; the biggest reached 7.3K upvotes, which is 328 per 1,000 members.
What is the most viral post on r/CallinaLiang?
"Results of training for Street Fighter" reached 7.3K upvotes and 37 comments in 2026, the highest score among the posts we hold from r/CallinaLiang.
What subreddits are similar to r/CallinaLiang?
Communities of a comparable size we track: r/greenland, r/Leakednews, r/LetsDiscussThis, r/InvictaSolaris, r/stevehofstetter, r/StrikeAtPsyche.
What kind of posts do best on r/CallinaLiang?
Of the posts we hold, 42% are gallery posts and 36% are image posts.
When is the best time to post on r/CallinaLiang?
Across 119 timestamped posts we hold, the slots whose posts averaged the highest score are Saturday at 04:00 UTC (1.6K avg upvotes), Tuesday at 16:00 UTC (772 avg upvotes), Monday at 10:00 UTC (605 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/CallinaLiang?
The 20th-best post we hold from r/CallinaLiang has 1K upvotes, so that is roughly the bar for the top twenty. We captured 49 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/CallinaLiang, 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 We deliberately do not publish an average score: our sample is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.