r/LLM rules, stats, and what to post
Know the rules before you post. So easy grandma can do it.
- To post
- No minimum in the rules
- To comment
- No minimum in the rules
- Self-promotion
- Banned
- Links
- Banned
- Promo risk
- High
- From the rules, not from removal counts
- Community age
- 13 years
- Since Nov 2013
About r/LLM
A source-backed Rankhog guide to r/LLM: public rules, community context, posting fit, and startup-promotion risk before you publish.Checked from the r/LLM rules on Reddit.
r/LLM rules
1 rule, in the community's own words.
- 1
No Spam, Self-Promotion, or SEO Manipulation
This community is for genuine discussions about Large Language Models. Posts intended primarily for self-promotion, SEO manipulation, or commercial gain are not allowed. Prohibited content includes:
- Promotional posts for products, services, websites, or platforms
- Affiliate links or referral codes
- Content designed to manipulate search engine rankings
- Repetitive posting of the same or similar content
- Links to personal blogs, YouTube channels, or social media for traffic generation
What to post in r/LLM
What fits the room, and what gets removed.
Works well
- Sharing a unique prompt and discussing its performance results in detail.
- Troubleshooting a specific technical issue encountered while working with an LLM.
- Discussing a recent breakthrough in AI and NLP research and what it means for the field.
- Sharing a project that explores a real-world application of Large Language Models.
Avoid
- Posting content that is intended primarily for self-promotion or commercial gain.
- Including affiliate links or referral codes in your posts.
- Sharing links to your personal blogs, YouTube channels, or social media for traffic generation.
- Repetitively posting the same or similar content.
Best hours to post in r/LLM
No pattern yet. r/LLM does not have enough top posts from the last 90 days to name its best hours.
What r/LLM Is For
This community is for everything Large Language Models. People can discuss the latest research, share prompts, troubleshoot issues, explore real-world applications, and stay updated on breakthroughs in AI and NLP. It welcomes developers, researchers, hobbyists, and anyone curious about language technology.
Rules That Matter Before Posting
The main rule that determines whether a marketing-adjacent post survives is “No Spam, Self-Promotion, or SEO Manipulation”.
What To Post
For respectful marketing, your posts should be genuine discussions about Large Language Models. Share a project you built that uses LLMs, or ask a detailed question about a research paper or a technical issue you are troubleshooting. Focus on the technology itself, not on selling something.
What To Avoid
You must avoid posts that are intended primarily for self-promotion, SEO manipulation, or commercial gain. This includes promotional posts for products, services, websites, or platforms. You must also avoid sharing affiliate links or referral codes.
A note from Anthony
The rules here are extremely strict about self-promotion. They specifically ban links to personal blogs or social media channels used for traffic generation. Since there are no observed top posts, it seems the community highly values genuine discussion over marketing announcements.
By Anthony Riera, founder and operator of Rankhog. Every guide is built from the community's own public rules and data, then checked by Rankhog's grounding audit before it goes live.
Common questions about r/LLM
What subreddits are similar to r/LLM?
Subreddits like r/LLM are r/ChatGPT, r/singularity, r/MachineLearning, r/OpenAI, r/ArtificialInteligence, r/artificial, r/ClaudeAI and r/LocalLLaMA.
Can I share my projects in this community?
Yes, you are welcome to share your projects and connect with others shaping the future of language technology.
Is it okay to promote my products or services here?
No, posts intended primarily for self-promotion, SEO manipulation, or commercial gain are not allowed.
What kinds of topics are allowed in r/LLM?
The community is for everything Large Language Models, including discussing the latest research, troubleshooting issues, and exploring real-world applications.
Subreddits like r/LLM
Other rooms for the same crowd.