Your landing page’s weakest score is Trust.
How Qdrant ranks
category scores
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Trust
56FairProof that the product is real, competent, and safe to try.





| Trust read | |
|---|---|
| Qdrant | "30k+ GitHub Stars" badge on the mobile fold |
| "Backed by Y Combinator" badge above the hero headline | |
| Customer logo wall (Anthropic, Notion, Atlassian, NYT, Linear) headed "1T+ documents, 10M+ writes/s, and 25k+ queries/s | |
| "Tomorrow's AI is being built on LanceDB today" logo strip at the fold's bottom edge | |
| Headline claim "Everything we learned from powering 20% of the Internet" | |
| Customer logo strip: Workday, L'Oréal, Microsoft, Mercado Libre, OpenAI, cohere |
Value props
72FairTitle, subtitle, hero — do they sell the product's true value?
High-Performance Vector Search at Scale
Qdrant helps you build the AI retrieval you want. Ship high performance, full-feature vector search at any scale and with any deployment model.
Working
- Names the exact category: vector search
- Claims performance and scale directly
- Subhead adds deployment flexibility
Could improve
- No numbers or benchmarks in desktop fold
- Subhead repeats headline claims
- Hero art decorates, shows no product
Mobile web
72FairThe phone experience as a first-class citizen.

What works
What to improve
Information hierarchy
82StrongDoes the design help or inhibit what the page is trying to say?

What works
What to improve
CTA
82StrongCopy, size, verb, cost-feel — does the primary CTA earn the click?

How Qdrant compares
Recommended rewrites
