5K members. The best post we have captured here reached 164 upvotes, which works out to 33 per 1,000 members.
Open r/OntologyEngineering on Reddit ↗
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.
Flairs are the community's own categories, and the closest thing a subreddit has to telling you what it wants.
The biggest posts we have captured here. Links go to the original on Reddit.
Bro is about to discover OWL
AI engineering is rediscovering ontology engineering the hard way
Karpathy's new "LLM Wiki" pattern is converging on exactly what this community has been building
Bigger context windows won’t fix your semantics
My current approach to engineering the r/ontologyengineering ontology
LLMs are just giant probability machines pretending to think
We need to stop using LLMs to extract knowledge graphs when deterministic parsing exists
How have you personally used (agentic) ontologies recently?
Your semantic layer used to be a person, you just automated them out of the loop.
ontology based data access at Anthropic
Within four times the member count either way, so the comparison is fair. Sorted by upside.
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/OntologyEngineering, 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 We deliberately do not publish an average score: our sample is weighted toward a community's best posts, so an average would be flattering and wrong.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.