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r/wien

225.7K members. The best post we have captured here reached 6.1K upvotes, which works out to 27 per 1,000 members.

27peak upvotes per 1,000 members
225.7Kmembers
6.1Kbest post
622most comments
101posts we track

Open r/wien 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.

72% 17%
Image 72% Gallery 17% Video 5% Text 5% 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.

:Bilder: Bilder | Pictures 43 :Memes: Memes 12 :Kurios: Kurios | Interesting 9 :Humor: Satire | Humor 8 :Rathaus-L::Rathaus-M::Rathaus-R: Politik | Politics 4 :Posthorn-L: Nachrichten | News 3 :OhneSchmaeh: Ohne Schmäh | Serious 3 :Zeitgeist: Zeitgeist 2 :Freizeit: Freizeit | Leisure Time 2 :Tiere: Tiere | Animals 2

What the ceiling looks like

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

Essen bin vor die Wohnungstür

↑ 6.1K 💬 98 image 2023

You had one Job

↑ 3.4K 💬 114 video 2023

Polozwei

↑ 3.2K 💬 77 image 2025

Die Emotionen laufen hoch in Floridsdorf

↑ 3.2K 💬 168 image 2026

Gestern auf der Gumpendorfer Straße

↑ 2.6K 💬 108 image 2026

shoutout an pizza john! (mollardgasse)

↑ 2.6K 💬 53 image 2025

Ein paar Bilder aus dem Februar dieses Jahres

↑ 2.5K 💬 115 gallery 2026

Was war da los heut

↑ 2.5K 💬 136 text 2026

Ist das Kannibalismus?

↑ 2.4K 💬 56 image 2026

An alle dies net sehen konnten

↑ 2.4K 💬 100 gallery 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.

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 We deliberately do not publish an average score: our sample is weighted toward a community's best posts, so an average would be flattering and wrong.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