Creates filtered cram decks with infinite retry loops, tag filtering, and live session statistics, letting you repeatedly review decks without affecting long-term spaced repetition scheduling.
Alternatives to Confidence Crammer: Brainscape-style learning
AnkiWeb addon 1078247873
AI answer
Answers are generated by Claude from the catalog data and may contain mistakes.
Similar addons (found without AI)
Automatically moves failed cards into a two-stage filtered deck loop, promoting and releasing them as they pass, without altering long-term scheduling.
Adds a customizable pacing HUD that tracks front and back review times, adapts timer targets via EMA and session flow, shows visual rewards, and leaves Anki scheduling unchanged.
Identifies high-yield weak areas from Again/Hard review patterns, recommends linked resources, saves study plans, and generates targeted UWorld or AMBOSS practice-question sets.
Converts Brainscape flashcard packs into Anki decks from a pasted pack URL, preserving images and line breaks and handling lazily loaded cards.
Displays an interactive heatmap calendar and stats on Anki's main screen, tracking reviews, retention, speed, focus, workload forecasts, plus themes and background photos.
Extracts timestamps and subtitles from MKV files to create Anki cards, plays speech segments in mpv, and auto-grades based on whether subtitles were shown.
Adds a draggable floating Pomodoro and study timer during review sessions, with automatic breaks, pause/resume, card counter, optional Focus Rhythm feedback, session summaries, and customizable display modes.
Repurposes the Hard button to mark a card as failed and bury it until the next day, postponing complicated cards.
Adds instant sounds for correct answers, confetti celebrations at deck and session completion, card status badges, colorful answer buttons, custom milestone sounds, and a settings panel with live previews.
Locks Anki until a chosen study goalβreviews, correct answers, timer, or finishing a deckβis met, using passwords or blind locks, with strict-mode enforcement, progress HUD, and local stats.
Adds statistics showing correct-answer percentages for each learning step and review interval, separately for learning, relearning, and cramming reviews, to help tune learning steps and the interval modifier.