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r/londoncycling

79.9K members. The best post we have captured here reached 3.7K upvotes, which works out to 46 per 1,000 members.

46peak upvotes per 1,000 members
79.9Kmembers
3.7Kbest post
1Kmost comments
101posts we track

Open r/londoncycling 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.

45% 32% 13% 8%
Video 45% Image 32% Gallery 13% Text 8% Link 2% Question 1%

What the ceiling looks like

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

Have just had a scotch egg thrown at my face by this well adjusted chap from FBE Electrical...

↑ 3.7K πŸ’¬ 786 image 2024

How I improved from my near accident

↑ 3.1K πŸ’¬ 236 video 2026

KINDNESS PREVAILS!!

↑ 2.9K πŸ’¬ 151 image 2026

Can we get a group together to confront London bike thieve?

↑ 2.3K πŸ’¬ 253 question 2024

some of you are insane. almost two accidents within a few mins.

↑ 1.8K πŸ’¬ 456 video 2025

This man stole my bike in Putney. 30 mins later I saw him cycling past on my bicycle and stopped him.

↑ 1.8K πŸ’¬ 224 image 2025

Average Westminster Bridge Experience

↑ 1.7K πŸ’¬ 548 video 2025

OK they’re *properly* taking the p now.

↑ 1.6K πŸ’¬ 504 gallery 2024

London bridge bike thief! Recognise this man?

↑ 1.6K πŸ’¬ 202 image 2025

How do I report this?

↑ 1.6K πŸ’¬ 1K image 2024

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 We deliberately do not publish an average score: our sample is weighted toward a community's best posts, so an average would be flattering and wrong.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