← All communities
Reddit community

r/LLMDevs

165.3K members. The best post we have captured here reached 4.8K upvotes, which works out to 29 per 1,000 members.

29peak upvotes per 1,000 members
165.3Kmembers
4.8Kbest post
365most comments
100posts we track

Open r/LLMDevs 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.

42% 34% 11%
Image 42% Text 34% Video 11% Link 5% Gallery 4% Question 4%

The topics it labels

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

Discussion 49 Resource 24 News 7 Great Resource 🚀 6 Tools 5 Help Wanted 4 Great Discussion 💭 3

What the ceiling looks like

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

Soo Truee!

↑ 4.8K 💬 73 image 2025

deepseek is a side project

↑ 2.6K 💬 87 image 2025

It's a free real estate from so called "vibe coders"

↑ 2.5K 💬 128 image 2025

DeepSeek R1 671B parameter model (404GB total) running on Apple M2 (2 M2 Ultras) flawlessly.

↑ 2.3K 💬 111 video 2025

On to the next one 🤣

↑ 1.8K 💬 83 gallery 2025

State of OpenAI & Microsoft: Yesterday vs Today

↑ 1.7K 💬 52 image 2025

Doctor vibe coding app under £75 alone in 5 days

↑ 1.4K 💬 365 image 2025

Vibe coding from a computer scientist's lens:

↑ 1.2K 💬 147 image 2025

Everything is a wrapper

↑ 1.2K 💬 123 image 2025

I built RAG for a rocket research company: 125K docs (1970s-present), vision models for rocket diagrams. Lessons from the technical challenges

↑ 957 💬 151 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.

Start free →

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 We deliberately do not publish an average score: our sample is weighted toward a community's best posts, so an average would be flattering and wrong.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