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AI flashcards

Case study

Deckbase

Learn with decks, FSRS spaced repetition, rich templates, and AI-assisted card creation.

Website

Deckbase website

Mobile app

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Deckbase - AI flashcards with MCP + Anki-friendly import/export | Product Hunt
01

Problem

Existing flashcard tools are either too rigid (simple text-only cards) or too complex (steep learning curve, poor mobile experience). Spaced repetition algorithms are powerful but underutilized because creating quality cards is time-consuming.

02

Solution

A modern flashcard app combining FSRS scheduling, rich multi-block templates (text, image, audio, quiz), and AI-assisted card generation. OCR and voice input reduce friction in creating cards from real-world material.

  • Flutter app: Anki-style study (Again/Hard/Good/Easy), FSRS scheduler, templates with text/image/audio/quiz blocks, OCR and voice input, Anki .apkg and spreadsheet import.
  • Offline-first Drift/SQLite with Firebase sync (Auth, Firestore, Storage), RevenueCat, FCM, home widgets.
  • Web companion: Next.js marketing site, SEO/ASO workflows, Cloud Functions, optional MCP server for tooling.
03

Outcome

Users create and study decks efficiently across devices. Offline-first architecture ensures study sessions work anywhere; Firebase sync keeps progress consistent.

04

Stack

FlutterRiverpodDriftFirebaseRevenueCatNext.js
05

Industry

This project belongs to the EdTech industry.

View EdTech industry page
07

Stack

Explore the technology stacks used in this project.

08

Contact

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