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r/TalesFromTheFrontDeskNSFW

1.1M members. The best post we have captured here reached 17K upvotes, which works out to 16 per 1,000 members.

16peak upvotes per 1,000 members
1.1Mmembers
17Kbest post
879most comments
101posts we track

Open r/TalesFromTheFrontDesk 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.

89% 11%
Text 89% Question 11%

The topics it labels

Flairs are the community's own categories, and the closest thing a subreddit has to telling you what it wants.

Short 43 Medium 41 Long 10 Epic 4

What the ceiling looks like

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

Dinner date with a guest

↑ 17K 💬 270 text 2018

I watched a guest’s world fall apart at the front desk

↑ 14.1K 💬 587 text 2025

Bridezilla and her extended family destroy 70 hotel rooms

↑ 13.3K 💬 361 text 2019

Congratulations on your wedding and your 1st DUMB mistake as newlyweds

↑ 10.8K 💬 879 text 2026

I tried to warn someone not to dispute his no-show charge, but they never listen.

↑ 10.1K 💬 257 text 2018

Man requests a room for $50. I explain it costs more than that, then it hits me what he's asking for.

↑ 9.1K 💬 327 text 2021

I thought she was checking in for a one-night stand.... boy was I glad to be wrong.

↑ 8.9K 💬 137 text 2020

20-something year old calls Mommy because she was mistreated

↑ 8.9K 💬 237 text 2018

Guest got mad that I didn't get mad/upset about a gay man flirting with me

↑ 7.8K 💬 238 text 2019

Yup, I remember 9/11. Just not the way people want me to.

↑ 7.7K 💬 400 text 2021

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/TalesFromTheFrontDesk, 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 We deliberately do not publish an average score: our sample is weighted toward a community's best posts, so an average would be flattering and wrong.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.