Memivo – Smart Flashcards

Experiment

A minimal flashcard app built around mastery, weighted repetition, and optional AI-powered enhancements.

Memivo is a modern, minimal flashcard application designed around clarity, consistency, and mastery.

Unlike many flashcard tools that introduce unnecessary complexity, Memivo focuses on what truly improves retention: structured repetition, clear progress tracking, and distraction-free learning.

The core system is based on a lightweight mastery model: - Only the last 3 answers are tracked - Smart weighted repetition prioritizes weak words - Learned words are dynamically excluded

The app works fully offline for vocabulary practice and includes an optional AI enhancement layer powered by credits, allowing users to generate translations, explanations, and pronunciations when needed.

Memivo is built as a scalable universal flashcard platform, starting with German B1 vocabulary and designed for future expansion across languages and levels.

Why it exists

Language learning improves through simplicity and repetition, not feature overload. I built Memivo to explore how far a focused, minimal system can go when it prioritizes mastery over gamification.

The problem

Many flashcard apps either become too complex or too gamified, introducing unnecessary friction. Learners often need a clean, consistent environment that encourages long-term retention without cognitive overload.

Current state

Memivo is live and actively used as a structured vocabulary learning tool. It includes weighted repetition, a 3-step mastery model, bookmark functionality, and an AI credit-based enhancement layer. The app is production-ready with secure backend AI proxy integration and a scalable deck architecture.

What's next

Expand to additional languages and levels
Introduce deck marketplace or custom deck import
Improve AI enhancement experience
Publish to Google Play with a clean freemium model Continuous UX refinements and analytics-based improvements

Open app