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Home»Latest News»Business»A solo founder built CafeRadar, an AI-powered “Vivino for cafés,” – now it’s taking on Google Maps for specialty coffee
Business

A solo founder built CafeRadar, an AI-powered “Vivino for cafés,” – now it’s taking on Google Maps for specialty coffee

Nazrul Islam JibonBy Nazrul Islam JibonMarch 23, 2026Updated:March 23, 2026No Comments4 Mins Read
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A new app wants to fix specialty coffee discovery and turn it into a personalized, AI-driven experience.

For years, finding a good specialty coffee shop in a new city has been a surprisingly broken experience. Search “coffee near me” and you’ll get a mix of chains, random restaurants, and cafés with little context beyond star ratings.

A solo founder who moved to Madrid ran into this problem repeatedly and decided to build a solution.

“I couldn’t find good specialty coffee without a 20-minute Google Maps deep dive or relying on Instagram,” the founder said. “So I built an app for it.”

That app is CafeRadar, an AI-powered specialty coffee discovery platform that aims to do for cafés what Vivino did for wine.

Filtering signal from noise

CafeRadar strips away the clutter by focusing exclusively on specialty cafés – no chains, no fast food, no irrelevant listings.

Instead of showing dozens of options, the app narrows results down to a handful of highly relevant recommendations based on:

  • Personal taste preferences
  • Café “vibe” (quiet, social, laptop-friendly)
  • Dietary filters (vegan, gluten-free, oat milk)
  • Real-time context like busyness and proximity

The goal is simple: go from 40+ search results to 3 good choices in seconds.

This is a gap that traditional platforms haven’t solved. As highlighted in the company’s investor materials, Europe alone has hundreds of thousands of independent cafés but no dominant discovery platform.

An AI barista that learns your taste

At the center of CafeRadar is an AI recommendation system that builds a “CoffeeDNA” profile for each user.

The system combines:

  • Behavioral data (what you order, where you go)
  • Community input
  • and a matching layer called “Taste Twins,” which connects users with similar preferences

The result is a feed of recommendations that evolves – something closer to Spotify or TikTok than Google Maps.

There’s also a computer vision layer: users can scan coffee bags or menus to get origin details, roast profiles, or nutritional breakdowns.

Built in 3 months, largely with AI

What stands out is how the product was built.

CafeRadar was developed by a single founder in roughly three months, with an estimated 60-70% of the codebase generated using AI tools.

The rest, including authentication, payments, and performance-critical systems, required manual work.

In total, the app includes:

  • 100+ API routes
  • 40+ edge functions
  • 200+ database migrations
  • a full merchant SaaS platform

“Without AI, this would have been a 12-18 month project,” the founder said.

The build process reflects a growing trend of “vibe coding,” where developers use AI to rapidly generate large portions of production code while focusing their own effort on critical infrastructure.

More than discovery: a SaaS layer for cafés

CafeRadar isn’t just a consumer app – it also includes a merchant platform for café owners.

The SaaS layer offers:

  • Loyalty programs and digital punch cards
  • Event bookings
  • Customer CRM tools
  • Analytics dashboards

This targets a key gap in the market: many independent cafés spend little to nothing on marketing and lack affordable digital tools.

Subscriptions start at around $10/month, positioning CafeRadar as a low-cost alternative to fragmented tools and ad spend.

A large market with no clear winner

The timing may be favorable.

The global specialty coffee market is projected to reach $183 billion by 2030, growing faster than traditional coffee.

At the same time:

  • Coffee consumption is increasingly experience-driven
  • Remote work is turning cafés into “third spaces.”
  • Younger consumers expect personalized, mobile-first discovery

Despite this, discovery remains fragmented across Google Maps, Instagram, and niche apps.

CafeRadar is betting that a vertical, AI-first platform can unify that experience.

Launch and what’s next

The app recently cleared Apple’s review process after multiple iterations addressing privacy and compliance issues — including removing unused tracking frameworks and adding explicit AI data consent.

CafeRadar is currently live in:

  • Madrid
  • Barcelona
  • Lisbon

with plans to expand to Paris, Berlin, and Amsterdam.

The broader ambition is to build a category-defining platform for coffee discovery — one that blends personalization, community, and commerce.

Or as the founder puts it:

“The goal is to become the Strava for specialty coffee.”

About CafeRadar:

Website: https://caferadar.app/
Instagram: https://www.instagram.com/caferadar.app
X: https://x.com/Caferadarapp
Get the App: https://apps.apple.com/us/app/caferadar/id6759011397

Cafe CafeRadar SaaS
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Nazrul Islam Jibon
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