MangaMatch

Finding great manga that genuinely matches your taste is hard. Most recommendation algorithms rely on generic popularity, while plain AI chatbots often hallucinate fake titles or recommend the same 5 mainstream series.

MangaMatch bridges this gap: it pulls real, curated candidate pools live from the AniList GraphQL API and uses Gemini AI to intelligently evaluate, rank, and explain why each manga matches your specific mood, favorite genres, and reading habits.

Key Features:

AI Matchmaker: 3-step recommendation engine anchored around your favorite library titles, custom prompts, and genre/chapter filters with personalized AI rationale for every pick.

Personal Library & Tracking: Manage your collection with Reading Status (Planning / Reading / Completed), 1–10 star ratings, and custom category tags.

Sticky Sidebar & Fast Poster Grid: High-density 2:3 poster cards with instant title search and genre filters.

Instant Reader Shortcuts: One-click links to read chapters directly on popular platforms like MangaFire and Comix.

1-Click Backup & Restore: Complete JSON library export and flexible merge/replace import.

UPON LIVE DEMO:

Isolated Guest Sessions: Your library changes are unique to your browser.

12 Starter Titles Pre-Loaded: Test Gemini's AI recommendations immediately.

Zero Signup Required: Just click and explore.

Who is it for?

Manga readers, webcomic fans, and collectors who want an organized, distraction-free library.

Anyone in a reading slump looking for tailored, high-quality recommendations that actually exist.

Tech Stack:

Next.js (App Router + Turbopack), React 19, TypeScript, Tailwind CSS, Prisma (SQLite), AniList GraphQL API, Google Gemini AI API, Vitest.