A knowledge and rating platform for beer
A knowledge base and rating app for beer, on web, iOS and Android. Taken from idea to a live product with daily users: research, positioning, data, design, apps, SEO and social.
The challenge
Beer data is scattered, duplicated and inconsistent across sources. The best-known apps are built for check-ins, not for learning what to drink next.
The product had to be useful on day one for someone holding a bottle in a shop, and discoverable on Google for someone searching a style.
What it does
See it in motion
From a bottle on the table to everything worth knowing about it, in a few seconds.
- Point the cameraat any bottle or can.
- Get the matchwith its Smart Score and the closest alternatives.
- Read the profileflavours, serving, food pairings.
- Rate itwith one drag of the dial.
What we did
Discover
Market research, competitor scans and a Reddit research pipeline to hear how beer drinkers really talk.
Define
Positioning as a living atlas of beer, business plan and pricing hypothesis.
Plan
A roadmap ordered by what brings people back: scan, score, rate, learn.
Design
A brand system, a rating dial instead of a form, and a scan flow that works one-handed.
Build
A data pipeline that cleaned and merged 570K beers from several sources. Web app with server-side rendering, iOS and Android apps from one codebase.
Launch
App Store and Google Play releases, SEO prerendering, directory submissions.
Grow
Guest rating without sign-up, search-shaped pages, and a daily social engine that renders and posts branded reels on its own.
Improve
AI-assisted workflows to clean data, classify styles and rewrite descriptions at scale.
What it took
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