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supp.fit

Supplement evidence from randomized controlled trials

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supp.fit turns 150K+ studies into clear answers on supplements. Every claim is graded by evidence strength and links to its PubMed study. Photo your shelf to rank your whole stack. Free to browse; paid plan available.

PH · launched Oct 16, 2026 · 1 upvote (top 67%) · 1 view

Niche: health and personal care guides · 74 launches, 13 in the last 7 days ▲ +63% · Explore this niche →

Category and tags

  • Healthcare
  • Search & retrieval
  • B2C
  • Not AI
  • Commercial product
  • Health & Fitness
  • Artificial Intelligence
  • Medical

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Could you build this?

Partial The UI and photo-to-stack flow are buildable, but the core value depends on a curated, evidence-graded database of 150K+ studies, which requires substantial expert curation or NLP work that vibe coding cannot produce.

What it would actually take: A real version would ingest PubMed and clinical-trial data through NLM's E-utilities API, then extract supplement–outcome claims with NLP and LLM pipelines. Assigning evidence grades consistently needs domain experts (nutrition scientists or clinicians) to design the grading rubric and validate outputs, along with a computer-vision model to identify products from shelf photos.

Competitors

Other products that read as similar to this one : 118 launches clear the similarity bar, closest 8 shown.

Attention rank: #67 of 119 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 318 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.