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r/SaaS

788.3K members. The best post we have captured here reached 2.5K upvotes, which works out to 3 per 1,000 members.

3peak upvotes per 1,000 members
788.3Kmembers
2.5Kbest post
915most comments
100posts we track

Open r/SaaS on Reddit ↗

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.

71% 24%
Text 71% Image 24% Question 4% Video 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.

B2C SaaS 5 B2B SaaS 5 AmA (Ask Me Anything) Event 2 Build In Public 2 B2B SaaS (Enterprise) 1

What the ceiling looks like

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

I'm Jacob, I made an AI Resume SaaS that bypasses ATS & lands people more interviews. It has 3M+ professionals using it & made $5m+ in lifetime reven…

↑ 2.5K 💬 260 text 2025

Real and pain

↑ 1.9K 💬 361 image 2026

Keep going. No matter what.

↑ 1.9K 💬 248 image 2026

Stop building useless sh*t

↑ 1.9K 💬 277 text 2025

A motivation you need

↑ 1.8K 💬 260 image 2026

I made an app that moans when you slap your MacBook. It made $5K in 3 days.

↑ 1.4K 💬 489 text 2026

I just made $1.5 B by selling my SaaS (AMA)

↑ 1.4K 💬 293 text 2025

Just hit $2K MRR after 8 months of grinding

↑ 1.4K 💬 239 image 2026

The most expensive simple advice

↑ 1.3K 💬 265 image 2026

My biggest competitor reached out to acquire me. The conversation taught me more about my business than 3 years of running it.

↑ 1.3K 💬 198 text 2025

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.

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 We deliberately do not publish an average score: our sample is weighted toward a community's best posts, so an average would be flattering and wrong.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