r/LocalLLaMA 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
- Allowed with conditions
- Keep self-promotion under 10 percent of your content and disclose your affiliation clearly.
- Links
- Not mentioned in the rules
- Promo risk
- High
- From the rules, not from removal counts
- Community age
- 3 years
- Since Mar 2023

About r/LocalLLaMA
A source-backed Rankhog guide to r/LocalLLaMA: public rules, community context, posting fit, and startup-promotion risk before you publish.Checked from the r/LocalLLaMA rules on Reddit.
r/LocalLLaMA rules
5 rules, in the community's own words.
- 1
Please search before asking
Before posting a question, please spend a reasonable amount of time searching for existing questions that may provide an answer.
- 2
Off-Topic Posts
Posts must be related to Llama or the topic of LLMs.
- 3
Low Effort Posts
- Asking questions is allowed, but follow Rule 1. Low effort posts may be removed.
- LLM based bots posing as humans are strictly not allowed.
- Completely/primarily LLM generated copy, code is not allowed.
- Only exception is for non-native, non-English speakers who may use LLMs to translate/refine their post. When used, poster must make LLM use transparent and clear
- 4
Limit Self-Promotion
- The 1/10th rule is a good guideline: self-promotion should not be more than 10% of your content.
- Affiliation must be disclosed: No engagement farming, No “I found this..”, etc.
- 5
Follow Reddit's Content Policy
Please remember to follow Reddit's Content Policy.
What to post in r/LocalLLaMA
What fits the room, and what gets removed.
Works well
- A writeup of your experience running a specific model on your own hardware, with real numbers and what you learned.
- A technical question about a setup problem you already tried to solve, showing the searches and fixes that failed.
- Sharing a tool you built for local model hosting, with a clear first line saying you built it.
- A comparison of two approaches to running models locally, written from your own testing.
Avoid
- Posting something that has nothing to do with LLMs or locally hosted AI, because “Off-Topic Posts” gets it removed.
- Asking a question without searching first, because “Please search before asking” is the first thing moderators check.
- Dropping a link to your product with no history in the community, which breaks the 10 percent guideline in “Limit Self-Promotion”.
- Saying you just found a great tool when it is your own product, since undisclosed affiliation is called out directly in “Limit Self-Promotion”.
- Posting copy or code written by an LLM, because “Low Effort Posts” bans primarily AI-generated content.
- Using an LLM to write your post and not saying so, which removes the only exception the rules allow for translation help.
Best hours to post in r/LocalLLaMA
These hours are in UTC. The free tool converts them to your clock. Based on 135 top posts from the last 90 days.
- Wednesday 17:00 UTC5 top posts
- Sunday 14:00 UTC4 top posts
- Friday 19:00 UTC4 top posts
The week, hour by hour
Top posts that went up in each hour (UTC), last 90 days UTC Sun Mon Tue Wed Thu Fri Sat 00:00 2 1 01:00 1 02:00 1 1 03:00 1 1 1 04:00 1 1 2 05:00 1 06:00 1 3 1 07:00 1 1 08:00 09:00 2 1 1 1 10:00 1 11:00 1 1 1 1 1 12:00 2 2 1 13:00 1 1 1 1 1 1 14:00 4 1 1 2 2 1 15:00 1 4 1 3 4 16:00 2 1 1 3 2 17:00 3 1 1 5 1 2 18:00 1 1 1 1 1 1 19:00 4 1 1 1 4 1 20:00 1 2 2 2 1 1 21:00 3 1 1 2 1 22:00 1 2 2 1 1 1 23:00 1 1 1
What actually works in r/localllama
These are the highest scoring posts Rankhog observed in r/localllama over the past month, with what each one did differently. Rankhog watches this community continuously, so it sees posts when they are published and again as they climb.

- Upvotes
- 5.2k
- Comments
- 575
- Posted
- Nov 2, 2026
Why it worked
- Rankhog breakout tier from a local post-score estimate
- Short paragraphs rather than one block of text
- Almost no downvotes (97% upvoted)

- Upvotes
- 2.4k
- Comments
- 498
- Posted
- Nov 5, 2026
Why it worked
- Rankhog breakout tier from a local post-score estimate
- Told in the first person

- Upvotes
- 2.0k
- Comments
- 355
- Posted
- Nov 3, 2026
Why it worked
- Rankhog breakout tier from a local post-score estimate
- Almost no downvotes (98% upvoted)

- Upvotes
- 1.6k
- Comments
- 275
- Posted
- Nov 6, 2026
Why it worked
- Rankhog breakout tier from a local post-score estimate
- Kept short enough to read in one pass
- Almost no downvotes (97% upvoted)

- Upvotes
- 1.5k
- Comments
- 377
- Posted
- Nov 5, 2026
Why it worked
- Rankhog breakout tier from a local post-score estimate
- Short paragraphs rather than one block of text

- Upvotes
- 1.5k
- Comments
- 142
- Posted
- Nov 1, 2026
Why it worked
- Rankhog breakout tier from a local post-score estimate
- Broken into a scannable list
- Short paragraphs rather than one block of text
- Almost no downvotes (99% upvoted)

- Upvotes
- 1.5k
- Comments
- 279
- Posted
- Nov 4, 2026
Why it worked
- Rankhog breakout tier from a local post-score estimate
- Almost no downvotes (99% upvoted)

- Upvotes
- 1.4k
- Comments
- 73
- Posted
- Nov 8, 2026
Why it worked
- Rankhog breakout tier from a local post-score estimate

- Upvotes
- 1.2k
- Comments
- 196
- Posted
- Nov 5, 2026
Why it worked
- Rankhog breakout tier from a local post-score estimate
- Kept short enough to read in one pass

- Upvotes
- 1.1k
- Comments
- 181
- Posted
- Nov 6, 2026
Why it worked
- Rankhog breakout tier from a local post-score estimate
- Told in the first person
- Short paragraphs rather than one block of text
What r/LocalLLaMA Is For
This is a community for people who discuss locally hostable AI. The description says it plainly, it is a subreddit to discuss locally hostable AI, and it opens with a friendly hi william, which tells you the tone is casual even though the rules are strict. The people here care about running large language models on their own hardware, so you will find hobbyists, developers, and builders who test models, share setups, and ask technical questions. Rule 2 makes the scope clear, posts must be related to Llama or the topic of LLMs, so anything outside that world does not belong here.
Rules That Matter Before Posting
Four rules decide your fate here. “Off-Topic Posts” means your post must relate to Llama or the topic of LLMs, so a general marketing post with no AI angle gets removed. “Please search before asking” means you look for existing answers before you post a question. “Low Effort Posts” is the one that catches most founders, because it bans LLM-generated copy and code, and it only allows LLM use for non-native English speakers who are translating or refining a post, and even then the poster must make that LLM use transparent and clear. “Limit Self-Promotion” points to the 1/10th rule, which means self-promotion should not be more than 10 percent of your content, and it requires that affiliation be disclosed, with no engagement farming and no fake “I found this” framing. “Follow Reddit's Content Policy” is the baseline that applies everywhere.
What To Post
A good post here is genuinely about locally hostable AI or LLMs, and it shows real effort. If you built something, like a tool that helps people run models locally, you can share it, but say clearly that it is yours and make sure most of your activity in the community is normal participation, not promotion. If you have a question, search first, then ask something specific that shows you did your homework. Write the post yourself in your own words, because this community explicitly does not want LLM-written content. Technical detail, honest benchmarks, and real experience from running models on your own setup fit the room well.
What To Avoid
The fastest way to get removed is posting off-topic content, so keep everything tied to LLMs or locally hosted AI. Do not ask a question without searching first, because the rules allow questions but expect you to have looked for existing answers. Never post copy or code that an LLM wrote, and never use an LLM to pose as a human, because bots pretending to be people are strictly not allowed. The single exception is if you are a non-native English speaker using an LLM to translate or refine your post, and even then you must say so clearly. On the marketing side, keep self-promotion under 10 percent of your activity, always disclose that you are affiliated with the product, and never frame your own launch as something you just found. Finally, follow Reddit's Content Policy like anywhere else.
A note from Anthony
The greeting in the description, hi william, tells me this is a community with personality, but the rules show it takes quality control seriously. The ban on LLM-generated content is the strictest I have seen, and it makes sense for a crowd that builds and runs models themselves, because they can spot machine-written text a mile away. If you are a founder here, your honest voice is not just nice to have, it is basically required.
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/LocalLLaMA
What subreddits are similar to r/LocalLLaMA?
Subreddits like r/LocalLLaMA are r/ChatGPT, r/singularity, r/MachineLearning, r/OpenAI, r/ArtificialInteligence, r/artificial, r/ClaudeAI and r/learnmachinelearning.
What is r/LocalLLaMA about?
It is for discussing locally hostable AI and large language models, so your post has to connect to that topic to survive.
Can I ask a question here as a founder?
Yes, questions are allowed, but the rules say you have to search for existing answers first and put real effort into the post.
Can I share my own AI tool here?
Only under 10 percent of your overall activity, and only if you clearly state that it is yours.
Can I use an LLM to write my post?
No. The rules ban primarily LLM-generated copy and code, and the only exception is translation help for non-native speakers, which must be disclosed.
Are links allowed?
The rules do not ban links outright, but any link to your own work counts as self-promotion and falls under the 10 percent and disclosure rules.
Subreddits like r/LocalLLaMA
Other rooms for the same crowd.