A source-backed Rankhog guide to r/computervision: public rules, community context, posting fit, and startup-promotion risk before you publish.
Checked October 27, 2026 from the community's public Reddit pages:
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.
This is a community about computer vision, the scientific subfield of AI that builds algorithms to pull meaningful information out of raw images, videos, and sensor data. The people here are academics and engineers who advance the field or apply it, coming from computer science, machine learning, robotics, mathematics, and related backgrounds. The description says they welcome everyone from published researchers to beginners, so you do not need a PhD to take part. The rules make clear this is an educational community first. People come here to ask real technical questions, share work that moves the field forward, and discuss vision topics seriously. It is not a place to pitch products or drop links and leave.
The rule that decides most marketing outcomes here is “Quality Content: Commercial”. It says all commercial posts are subject to review, and that content should be broadly beneficial to the community, not just the company behind the posting. In practice that means you get moderator approval before you post anything commercial, and the post has to teach or help people, not advertise. “Quality Content” is the second gate, because no low effort posts are allowed in any category and posts should contain or redirect to meaningful questions, answers, or discussion. “Quality Content: Help” matters if you ask the community for input, because you must state the approaches you have tried so far and their results, and Googling is called a bare minimum. “Quality Content: Showcases” applies if you want to show off something you built, because the work must be directly related to or make a significant contribution to topics in vision, and it must not be plagiarized code, text, or equations. Minimally rewriting tutorials counts as plagiarism. “Flair Posts Appropriately” is required, so every post needs the right flair. Finally, “Be Professional” sets the tone, since this is an educational community and rude or offensive comments are out.
The safest useful post for a founder here is a genuine technical contribution. If you have built something with a vision component, share it as a showcase, but only if it is directly related to computer vision or makes a real contribution to the field, and only if the work is your own. Write up what you built, how it works, and what you learned, and pick the right flair for it. If you are stuck on a technical problem, ask for help the way the rules want it: state the approaches you have already tried and their results, and show you did the basic research first. Thoughtful discussion posts about vision topics also fit, as long as they contain or lead to meaningful questions, answers, or discussion. If anything you want to post is commercial in nature, message the moderators for review before you post, and frame it around what the community gains, not what your company gains.
The fastest way to get removed is posting commercial content without moderator approval, because all commercial posts are subject to review under “Quality Content: Commercial”. Low effort posts get removed in any category under “Quality Content”, so a bare link or a vague question will not survive. Asking for help without listing what you already tried breaks “Quality Content: Help”, and speculative or broad answers are also called out there. A showcase that is plagiarized code, text, or equations, or a tutorial with light rewriting, breaks “Quality Content: Showcases”. Skipping the right flair breaks “Flair Posts Appropriately”. And anything unprofessional, NSFW, hateful, illegal, rude, or offensive breaks “Be Professional”.
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Yes, but the “Quality Content: Commercial” rule says all commercial posts are subject to review, so you need moderator approval before posting, and the content must be broadly beneficial to the community rather than just your company.
The rules require every post to be flaired appropriately, and the community links to a flair guide if you are unsure which applies.
The “Quality Content: Help” rule requires you to state the approaches you have already tried and their results, and says Googling is a bare minimum.
Yes, the public description explicitly welcomes everyone from published researchers to beginners, but your post still has to meet the quality rules.
It must be directly related to or make a significant contribution to topics in vision, and it cannot be plagiarized code, text, or equations, with minimally rewritten tutorials counting as plagiarism.
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