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Supplement Analyzer

AI-powered analysis separating scientific facts from marketing claims on supplements

SaaS Health & beauty Show HN · launch post · ▲ 94

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pillser.com

What it does

Supplement Analyzer uses AI to compare supplement products against published research on their ingredients. The tool indexes supplements by breaking down their ingredient lists and quantities, then cross-references those ingredients against scientific studies on supplementation. It ranks research findings by effect type and effect size, creating a way for users to see which claims have evidence backing them and which do not.

Who it is for

The product targets consumers shopping for supplements who want to distinguish between marketing language and actual scientific evidence. People researching specific ingredients or comparing supplement products would use this to verify whether marketed benefits have research support.

Pricing

The site does not show prices.

How it stands out

Most supplement retailers present claims without systematic evidence review. Supplement Analyzer attempts to solve this by building a structured database of both products and research, then mapping them together. The three-layer approach—indexing supplements, indexing research, and linking the two—creates a reference tool rather than a shopping interface. This positions it as an analysis layer rather than competing directly with retailers or existing supplement review sites.

What a founder should check

First, verify the research indexing problem. Supplement research is vast, fragmented across journals, and includes many low-quality studies. A founder should investigate whether the AI ranking system reliably filters signal from noise, and whether supplement makers contest the effect sizes assigned to their ingredients. This matters because marketing claims often cite legitimate studies with small effect sizes, and how the tool handles that gray area determines its credibility.

Second, examine switching costs and habit. Most supplement buyers rely on brand loyalty, price comparison sites, or retailer ecosystems like Amazon. Users would need to change their research workflow to consult Supplement Analyzer before purchase. A founder should test whether people actually adopt this extra research step or whether they view it as friction in an already-established buying pattern.

Third, assess the competitive moat. Retailers like iHerb and Now Foods already employ scientists to review ingredients. Established supplement brands publish research on their own websites. Incumbent fitness apps and nutrition trackers could add this feature. A founder should determine what prevents these players from building equivalent analysis in-house, and whether Supplement Analyzer's independent status gives it credibility that affiliated analyses lack.

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