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Asclevor Case Search

Semantic search for clinical case records

Clinical case reports hold decades of medical experience, but they're locked behind keyword search. If you don't use the exact right term, you miss the case that matters. Asclevor changes that. Describe a patient in plain language -presentation, history, findings - and Asclevor returns the nearest cases on record, ranked by semantic similarity rather than exact keyword matches.

Top comment

Hey Product Hunt 👋 I built Asclevor after watching how much clinical knowledge is effectively invisible. Case reports exist for almost every presentation you can imagine — but finding the one that matches your patient means guessing the exact words the authors used. Asclevor flips that: you describe the case in plain language, and it surfaces the nearest matches ranked by similarity. No keywords, no filters, no query-building. What's different from generic AI search: • Results are actual case records, ranked by case-to-case similarity — not an LLM summary that might hallucinate • You see the reasoning: your request side-by-side with each match • Fast, focused, and purpose-built for clinical text It's early, and I'd genuinely love your feedback — especially on the ranking quality and what you'd want in a v2 (filters by specialty? full-text view? export?). Ask me anything about how it works under the hood. Thanks for stopping by! 🙏

About Asclevor Case Search on Product Hunt

Semantic search for clinical case records

Asclevor Case Search was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #140 on the daily leaderboard. Clinical case reports hold decades of medical experience, but they're locked behind keyword search. If you don't use the exact right term, you miss the case that matters. Asclevor changes that. Describe a patient in plain language -presentation, history, findings - and Asclevor returns the nearest cases on record, ranked by semantic similarity rather than exact keyword matches.

On the analytics side, Asclevor Case Search competes within Health & Fitness, Artificial Intelligence and Search — topics that collectively have 579.4k followers on Product Hunt. The dashboard above tracks how Asclevor Case Search performed against the three products that launched closest to it on the same day.

Who hunted Asclevor Case Search?

Asclevor Case Search was hunted by Leander Guo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of Asclevor Case Search including community comment highlights and product details, visit the product overview.