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Vectorly

A repositioning and landing-page system for an AI retrieval platform, built to convert technical evaluators into trials.

Vectorly is a retrieval-and-memory layer that helps teams ship accurate AI features without hallucinations. Developers loved the docs, but the marketing site failed to explain — in plain terms — why a team should pick Vectorly over rolling their own. Smart visitors bounced before reaching the ‘start free’ button.

The challenge

Technical buyers are skeptical and fast. They scan for proof, scan for control, and leave the moment a site feels like fluff. Vectorly’s old page led with adjectives instead of architecture, and the trial CTA was three scrolls deep.

What I designed and built

I rewrote the narrative to lead with the problem developers feel every day, then built a landing system that earns trust quickly: diagrams over stock photos, copy-paste code blocks, and benchmark tables that respect the reader’s intelligence.

  • A problem-first hero with an instant, copyable code snippet

  • An architecture section using real diagrams, not decorative gradients

  • Benchmark and accuracy tables built as reusable CMS blocks

  • A comparison page that honestly frames ‘build vs. Vectorly’

  • Conversion paths that route to either ‘read the docs’ or ‘start free’

Product improvements

I partnered on the trial experience too — simplifying the API-key-to-first-query flow, designing clearer dashboard empty states, and writing the in-product microcopy so the product felt as considered as the marketing.

The outcome

Vectorly now reads like infrastructure a serious team can trust. Trial starts from the marketing site improved, the docs and site finally tell one coherent story, and the team has a flexible page kit for launches and integrations.

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