Centaur Labshttps://centaurlabs.com/

Your landing page’s weakest score is Trust.

How Centaur Labs ranks

  1. 1.Centaur Labs70
  2. 2.Scale AI61
  3. 3.Theora58
  4. 4.Mercor54
  5. 5.Surge AI46
Fix Trust
70Growth scoreupdated

category scores

Trust62Information hierarchy68
category scoresShowHide
Trust62Information hierarchy68

Trust

62Fair

Proof that the product is real, competent, and safe to try.

Trust read
Centaur LabsLeaderboard cards with task completion counts, e.g. "Skin Lesion Classification — 2,847 COMPLETED" showing Centaur Aggre
Theora"Backed by Y Combinator" badge above the headline
Mercorimplicit context Mercor may benefit from pre-existing familiarity among its target audience.
Surge AI"New Frontier data and RL environments, off the shelf" announcement banner
Scale AIimplicit context Scale AI may benefit from pre-existing familiarity among its target audience.

Information hierarchy

68Fair

Does the design help or inhibit what the page is trying to say?

Information hierarchy annotations on the desktop capture1234
  1. Dual hero CTAs — "Explore Datasets" and "Join Centaur Arena" sit side by side at similar weight, splitting the primary action.
  2. Header Book a demo — A third high-contrast black CTA competes with the hero buttons, leaving no single obvious next step.
  3. Leaderboard card cluster — Three data-dense cards with scores, ranks, and footnote text ask for heavy parsing before the headline argument lands.
  4. Top announcement banner — Full-width banner with an outbound "See the results" link pulls attention away before the hero is read.

CTA

72Fair

Copy, size, verb, cost-feel — does the primary CTA earn the click?

Centaur Labs

How Centaur Labs compares

Recommended rewrites

Mobile web

72Fair

The phone experience as a first-class citizen.

Centaur Labs mobile capture for Mobile web

What works

What to improve

Value props

78Fair

Title, subtitle, hero — do they sell the product's true value?

Centaur Labs’s headlineWhen annotators compete, your model winsThe best AI models aren't built with human data alone — they're built with superhuman data. Data that's shaped through the collective intelligence of humans and AI working together.

Working

Could improve