About Us

Skino is a beauty dupe database for comparing makeup and skincare products with evidence.

What is Skino?

Skino is a public directory of beauty dupes built around relationships between specific products. The goal is to be your first stop when searching for makeup and skincare dupes, formula comparisons, and lower-cost products that may fit the same use case.

Skino does not publish brand-level replacement claims. A dupe claim is directional: one product may dupe another product, and the page should show the evidence, uncertainty, and known differences behind that relationship.

How did Skino get started?

Beauty shoppers already search for dupes across social posts, retailer reviews, spreadsheets, and short videos. The useful signals are scattered, and many pages mix editorial copy, affiliate incentives, and ads without showing enough structure.

Skino was started to make that research easier to inspect. The product is built as a self-owned evidence pipeline and public directory, so product identity, formula signals, AI-written explanation, sponsorship, and published snapshots stay in their own lanes.

How are dupe claims evaluated?

Skino uses structured product data and comparison signals to evaluate whether one product is a plausible dupe for another. The public page keeps deterministic facts separate from AI-assisted explanation.

The comparison looks at several factors:

  1. Dupe relationship: the dupe and the reference product stay in a fixed direction.
  2. Formula signals: ingredient overlap, key actives, exclusions, and category-specific traits are checked before a claim is presented.
  3. Experience signals: texture, finish, use case, shopper language, and known differences are kept visible instead of hidden inside a single score.
  4. Price context: savings matter, but low price does not override formula risk, missing evidence, or a poor use-case fit.

This approach helps Skino balance price-aware discovery with the reality that beauty products are not interchangeable just because they look similar or share a few ingredients.

Why dupes?

Good dupe research helps shoppers spend less, avoid bad-fit purchases, and understand when two products only look similar from a distance. It also gives emerging brands a cleaner way to be discovered without buying a verdict.

A useful dupe page should not declare a winner as fast as possible. It should make the tradeoffs clear enough for a shopper to decide for their own skin, budget, and routine.

  • Evidence should be inspectable.
  • Known differences should stay visible.
  • Sponsored visibility should never change the dupe verdict.

Affiliate links and sponsored placements

Skino may contain affiliate links or sponsored product placements. When a placement is sponsored, the page should say so in the interface instead of hiding that relationship in fine print.

Brands can buy placement, retailer exposure, and reporting around relevant dupe demand. They cannot buy Skino's verdict, AI Match, Ingredient Match, Attribute Match, evidence summaries, or removal of known differences.

- Skino