About

The system schedules reviews at increasing intervals based on how well you remember each card. When you rate a card as "Easy", you'll see it again later than when you rate it "Again" or "Hard".

This approach is rooted in research by Hermann Ebbinghaus and his work on the forgetting curve—the observation that we forget information over time unless we actively reinforce it. Spaced repetition helps you review just before you're about to forget, making each review more effective.

Answering flashcards forces your brain to retrieve information rather than passively re-reading it. This act of retrieval strengthens memory—each time you successfully recall something, you make it easier to remember next time.

Unlike passive re-reading or highlighting, active recall creates stronger and more durable memory traces. That's why flashcards are so effective: they turn learning into a practice of testing yourself.

The system can generate flashcards using LLMs to accelerate learning. Simply provide a topic or paste text, and the AI creates question-and-answer pairs for you.

This lets you quickly build decks without manually writing every card. You can still add your own cards or edit the generated ones to customize your learning.

The system adjusts review frequency based on your performance. Cards you struggle with appear more often, while cards you know well appear less frequently—so you spend time where it matters most.

By rating cards as Again, Hard, Good, or Easy, you guide the algorithm to optimize your study schedule. Over time, the system learns which cards need more reinforcement and which you've mastered.