Turns card reviews into Old School RuneScape-style skill training across six skills, gathering and crafting resources, with a bank, achievements, hiscores, a review HUD and optional online sync.
Alternatives to Nnf Nnf
AnkiWeb addon 695590350
AI answer
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Similar addons (found without AI)
Gamifies Anki reviews with collectible items, dungeons, milestones, quests and leveling, adding rebalanced difficulty, rewards, bonus stats and streak fixes while preserving progress migration.
Converts Anki card reviews into in-game currency for a competitive tower defense game with single-player CPU matches, hosted online multiplayer, five turret types, and HP-based battles.
Turns Anki study into a networked multiplayer game where players battle each other on filtered decks, track progress, and optionally share badges and daily study time.
Converts Anki reviews into a territory-conquest strategy game where card performance earns coins and soldiers for single-player or real-time multiplayer battles, plus global leaderboards and region bonuses.
Converts daily Anki reviews into coins for an asynchronous multiplayer hexagonal strategy game, where learners race to find keys and artifacts while hazards force extra reviews.
Counts the cards you answer and sends only that count to a browser-based farm game, batching and retrying when offline.
Turns card reviews into a farming game where answering grows animals, selling them earns coins, with leaderboards, employees, random events, and animal synergies.
Turns flashcard reviews into a basketball game: each answer triggers a shot matching its rating, with a pixel-art arena, live scoreboard, tracking stats and a resizable, non-intrusive window.
Randomly triggers a Foxy jumpscare with a 1-in-10,000 chance per second while studying in the focused main Anki window, with configurable volume and chance.
Gamifies Anki study by converting review streaks and card learning into gold, farm progress, and turn-based battles, including leaderboards and multiplayer matches.
Silently collects learning-process data and card metadata in the background, without affecting study, to support machine-learning research on estimating intervals from user performance and card specifications.