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r/PredictionMarkets

9.9K members. The best post we have captured here reached 237 upvotes, which works out to 24 per 1,000 members.

24peak upvotes per 1,000 members
9.9Kmembers
237best post
114most comments
179posts we track

Open r/PredictionMarkets on Reddit β†—

What actually lands here

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.

33% 31% 17% 10%
Image 33% Text 31% Link 17% Question 10% Video 5% Gallery 4%

What the ceiling looks like

The biggest posts we have captured here. Links go to the original on Reddit.

$45 turned into $1700+

↑ 237 πŸ’¬ 114 image 2026

KALSHI refusing to pay Khameni bets citing its unwritten "death caveat"

↑ 176 πŸ’¬ 84 image 2026

Mapped 5,000 Polymarket smart traders across confidence level and edge

↑ 134 πŸ’¬ 37 image 2026

700$ to 19k+

↑ 83 πŸ’¬ 36 image 2026

He has $910K in lifetime Polymarket profits. He just bet $4.37M against Argentina winning the World Cup.

↑ 58 πŸ’¬ 52 image 2026

Built an automated arbitrage + value betting bot for Kalshi, Polymarket, and sportsbooks, feedback welcome

↑ 54 πŸ’¬ 27 video 2026

Wtf is this guy with 94.8% winrate on 445 markets, started trading 11th of April

↑ 49 πŸ’¬ 16 gallery 2026

Another 94.4% winrate (225W/15L closed positions), 22 days of trading identified

↑ 43 πŸ’¬ 23 image 2026

He backed all 49 World Cup teams to win. He's up $75,991.

↑ 41 πŸ’¬ 34 image 2026

This guy turned $83.58 into $473,344.34 in less than 6 months.

↑ 33 πŸ’¬ 18 image 2026

Communities its size

Within four times the member count either way, so the comparison is fair. Sorted by upside.

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.

Start free β†’

Every figure here is what ViralHunt has captured from r/PredictionMarkets, 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 We deliberately do not publish an average score: our sample is weighted toward a community's best posts, so an average would be flattering and wrong.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.