fablr

Production Candidate

Meet fablr.
The AI Discovery
Engine for Books.

Solving "Book Paralysis" with a hook-first discovery model and React Native performance.

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Project Overview

High-Fidelity Book Matchmaking

fablr is designed to solve Book Paralysis. Built for genre-fiction enthusiasts (Webnovels, Manga, Fantasy), it uses a Hook-First discovery model that prioritizes narrative DNA over misleading cover art.

The Tech Stack

React Native Expo SDK 56 TypeScript Zustand Supabase PostgreSQL Edge Functions Reanimated 4 TanStack Query
95%
UI Fidelity
60fps
Perf
Supabase
Backend
Zero
Ops

Leveraged Supabase Edge Functions for the recommendation engine to keep complex "Match %" logic server-side while maintaining a lean client bundle.

Engineering Details

Architecture & Experience

✨
Experience
Chameleon UI
Real-time background color shifts driven by content "vibes" and tactile 3D card-flip mechanics using React Native Reanimated.
🧬
Logic
Taste DNA
Mathematical visualization of user narrative preferences via radar charts. Implemented InfiniteQuery pagination to handle infinite content catalogs with zero memory leakage.
🏗️
Infra
Supabase RLS
100% Row Level Security coverage on all Postgres tables, ensuring private library data remains strictly isolated. Real-time community chatrooms powered by Postgres Changes.

Ready to explore?

fablr is currently in Closed Beta for Android.

Support & Inquiries