AF:Note Cards is made and published by 晓 郭. AppBrain is an independent app data site and isn't affiliated with 晓 郭. The app name, icon, screenshots and description belong to 晓 郭 and are shown as published on the App Store.
AppBrain's verdict
- Last updated
- May 14, 2026
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Releases
Updates seen on the App Store- Version
- 1.0
- Launched
- May 2026
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Technology
Found in the app by AppBrain- Price
- Free
- App size
- 391.0 KB
- Content rating
- Low
Technologies used by AF:Note Cards
About the app and developer
About AF:Note Cards
AF:Note Cards is an utilities app developed by 晓 郭.
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App Information
AF:Note Cards is freely available from the App Store. The app size is 391.00 kB. The latest version available is 1.0. The last update was on May 14, 2026.
Technical Requirements
The app has a content rating of Low Maturity. The app has been available on the App Store since May 2026.
Developer information for 晓 郭
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Store listing
By 晓 郭, from the App StoreScreenshots by 晓 郭, from the the App Store listing
Description by 晓 郭 Written by the developer, not by AppBrain. Click to read.
Note Cards is a professional flashcard learning tool built on the principle of Active Recall from cognitive science.
Master Active Recall. Note Cards transforms scientific learning into a seamless, offline iOS experience. No distractions, just pure focus.
Core Features and Technical Implementation:
· Active Recall Training — The flip-to-reveal interaction pattern forces your brain to actively retrieve memories, proven to be over fifty percent more effective than passive reading.
· Quantified Learning Analytics — Each card independently tracks correct and incorrect attempts with automatic deck-wide accuracy calculation, enabling data-driven learning decisions.
· Randomized Spaced Review — Cards are shuffled each session, combined with accuracy data to identify weak areas, delivering efficient spaced repetition effects.
· Session-Level Performance Metrics — Real-time tracking of accuracy and error rates per study session, quantifying your learning return on investment.
· Localized Data Security — Local persistent storage via UserDefaults, zero network dependency, ensuring complete privacy of your learning data.
Ideal For:
- Language Learners: systematic vocabulary and grammar acquisition
- Students: efficient review of key concepts and formulas
- Professionals: continuously updated industry knowledge and terminology
Technical Architecture: Native SwiftUI development, iOS 17 plus support, Swift 5.9, purely local operation, zero third-party dependencies.
Master Active Recall. Note Cards transforms scientific learning into a seamless, offline iOS experience. No distractions, just pure focus.
Core Features and Technical Implementation:
· Active Recall Training — The flip-to-reveal interaction pattern forces your brain to actively retrieve memories, proven to be over fifty percent more effective than passive reading.
· Quantified Learning Analytics — Each card independently tracks correct and incorrect attempts with automatic deck-wide accuracy calculation, enabling data-driven learning decisions.
· Randomized Spaced Review — Cards are shuffled each session, combined with accuracy data to identify weak areas, delivering efficient spaced repetition effects.
· Session-Level Performance Metrics — Real-time tracking of accuracy and error rates per study session, quantifying your learning return on investment.
· Localized Data Security — Local persistent storage via UserDefaults, zero network dependency, ensuring complete privacy of your learning data.
Ideal For:
- Language Learners: systematic vocabulary and grammar acquisition
- Students: efficient review of key concepts and formulas
- Professionals: continuously updated industry knowledge and terminology
Technical Architecture: Native SwiftUI development, iOS 17 plus support, Swift 5.9, purely local operation, zero third-party dependencies.