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r/PromptEngineering rules, stats, and what to post

A source-backed Rankhog guide to r/PromptEngineering: public rules, community context, posting fit, and startup-promotion risk before you publish.

By Anthony Riera, founder and operator of Rankhog.

Subreddit guides combine public Reddit source URLs, captured rules, visible verification dates, and Rankhog's account-safety workflow.

Current public stats

Members
416,336
Verified
September 18, 2026
Category
AI builders, operators, and researchers

Rules can change, so Rankhog keeps verification dates and the original public Reddit sources visible.

Rule summary

No subreddit-specific rules were displayed on the public rules page when Rankhog verified it on 2026-09-18.

Works well

  • A post breaking down a specific prompt you engineered, what you tested, and what results you got.
  • A question about a prompt engineering challenge, framed to invite technical discussion.
  • A comparison of two prompt approaches for the same task, with your observations.
  • A deep dive into how you structured a prompt for a particular generative model, shared as a learning.

Avoid

  • Don't post off-topic content that isn't about prompt engineering.
  • Don't treat this as a place to drop promotional links with no context.
  • Don't ignore the engineering mindset this community expects, meaning no vague or low effort posts.

What r/PromptEngineering Is For

This community is for people who treat prompt engineering as an actual engineering practice. That means developing and refining inputs for generative models like GPT or Midjourney. You will find people who care about the craft of building prompts, testing them, and sharing what works. The community has no published rules on its public rules page, so the only stated expectation is that you keep your posts relevant to prompt engineering.

What To Post

A good post here is a high quality prompt engineering discussion. That could be a technique you tried, a breakdown of how a specific prompt performed, or a question about getting better results from a generative model. If you are a founder, share something genuinely useful about how you engineered a prompt, not just what your product does. The goal is to add to the conversation and earn trust before you ever mention your tool.

What To Avoid

Since the community has no published rules, you have to read the room carefully. The one thing that is clear from the policy brief is that posts should stay relevant to prompt engineering. Avoid anything that drifts into generic AI news, product launches with no prompt engineering angle, or low effort content. Don't use this place as a billboard.

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Common questions about r/PromptEngineering

Are there any published rules I need to follow?

The community has no published rules on its public rules page, so you won't find a list of do's and don'ts. The only guidance is a moderator note asking you to keep posts relevant to prompt engineering.

Can I promote my product or service here?

Promotion policy is unknown since there are no published rules. Your safest path is to focus on high quality prompt engineering discussions rather than overt marketing.

Is it okay to share links to my tool or blog?

Link policy is unknown because the community has no published rules. If you include links, make sure they serve a genuine prompt engineering discussion.

Can I post AI-generated content?

AI content policy is unknown. The community is about prompt engineering, so any AI content should be tied to that topic and add real value.

What should I post to stay safe given there are no rules?

Since there are no published rules, focus on high quality prompt engineering discussions. That means sharing techniques, questions, and insights rooted in the engineering of prompts for generative models.

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