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CodeHarmonic Product · Consumer

BookMatcher: AI Book Recommendations on iOS and Web

AI book recommendations and a reading tracker: a SwiftUI iOS app on the App Store, a Next.js web app with programmatic SEO, and a TypeScript Hono API on Vercel.

BookMatcher: AI Book Recommendations on iOS and Web preview

The Project

BookMatcher is a native iOS app that uses AI to recommend books based on your reading history and taste — with personalized shelves, tracking, and a clean reading workflow that does not feel like a database.

Why It Matters as a Case Study

BookMatcher is a CodeHarmonic-owned product, not a client engagement. It exists as proof: end-to-end native iOS, shipped to the App Store, with AI-powered recommendations and a real user experience. When clients ask whether we can build them a real native iOS app, this is the answer.

Architecture

  • SwiftUI native iOS app
  • Next.js + TypeScript companion web property
  • Supabase for data and auth
  • OpenAI for recommendation generation
  • Tailwind CSS for the web side

Where to See It

What This Demonstrates

We can take a consumer iOS product from concept to App Store launch — design, native engineering, AI integration, and the launch lifecycle. The same engineering rigor goes into client builds.