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.
Answered from the posts ViralHunt holds from this community, not from Reddit's own about page.
What is r/IndianStockMarket?
r/IndianStockMarket ("Front page of Indian Stock Market") describes itself this way: If it affects the stock market, we discuss it here. It was founded in 2014 and has 1.4M members.
How many members does r/IndianStockMarket have?
r/IndianStockMarket has about 1.4M members. ViralHunt has tracked 721 of its posts; the biggest reached 9.5K upvotes, which is 7 per 1,000 members.
What is the most viral post on r/IndianStockMarket?
"He retired at 45 with ₹4.7 crore." reached 9.5K upvotes and 773 comments in 2025, the highest score among the posts we hold from r/IndianStockMarket.
What subreddits are similar to r/IndianStockMarket?
Communities of a comparable size we track: r/StarWarsBattlefront, r/alberta, r/massachusetts, r/goodnews, r/AnarchyChess, r/Indiana.
What kind of posts do best on r/IndianStockMarket?
Of the posts we hold, 53% are image posts and 23% are text posts.
When is the best time to post on r/IndianStockMarket?
Across 721 timestamped posts we hold, the slots whose posts averaged the highest score are Monday at 09:00 UTC (2.7K avg upvotes), Tuesday at 03:00 UTC (2.2K avg upvotes), Tuesday at 06:00 UTC (1.5K 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/IndianStockMarket?
The 20th-best post we hold from r/IndianStockMarket has 3.4K upvotes, so that is roughly the bar for the top twenty. We captured 610 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/IndianStockMarket, 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 We deliberately do not publish an average score: our sample is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.