The product intelligence layer
Know what’s
actually good.
insyder.ai's mission is to do for consumer products what Google did for the web: organize the world's consumer product information — objective, reproducible, and verifiable, computed from public label data by a fixed, published methodology, never editorial opinion or paid placement. That matters for an agentic future where autonomous browsing and buying by agents becomes the norm: agents transacting on someone's behalf need a trust layer, and that's what we're building. We only rank what we can verify — where the evidence is thin, the page says so instead of guessing. Starting vertical: GLP-1 supplements.
Explore GLP-1 rankings →How it works
Trust, made mechanical.
- 01
Public data
Every score starts from public label data, not marketing copy or a brand's own claims — the first vertical draws from the NIH Dietary Supplement Label Database.
- 02
Fixed methodology
Products are scored against a fixed, published, versioned methodology, before we know what we can sell — price only ever affects one scoring factor, never which products score well overall.
- 03
Disclosed relationships
Every product discloses whether a purchase earns us a margin ("ships via our store") or nothing at all ("no relationship") — never paid placement, never a sponsored ranking.
Live verticals
Start where the labels
can tell the truth.
- LIVE NOWGLP-1 supplements
live
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