AnkiCat — Platform to Get Smarter https://ankicat.com Updates from AnkiCat — the platform to get smarter across any study category. Flashcards, quizzes, and summaries scheduled by spaced repetition. One AI feature, with conscience. Real human support. en © 2026 MARTINS HIGH QUALITY SOFTWARE LTDA. All rights reserved. Fri, 27 Jun 2026 00:00:00 +0000 Fri, 27 Jun 2026 00:00:00 +0000 AnkiCat Discovery Layer 1440 https://www.rssboard.org/rss-specification support@ankicat.com (Sayuri M.) support@ankicat.com (AnkiCat Engineering) https://ankicat.com/favicon.svg AnkiCat https://ankicat.com 32 32 AnkiCat Logo Education Technology Artificial Intelligence AnkiCat Waitlist Now Open — Join Early Access https://ankicat.com/#waitlist https://ankicat.com/updates/waitlist-open Fri, 27 Jun 2026 00:00:00 +0000 Join 2,400+ learners on the AnkiCat waitlist. Be first to know when the AI-powered flashcard platform launches on iOS, Android, and web. AnkiCat is an AI-powered learning platform that helps students transform PDFs, notes, and study materials into intelligent flashcards using spaced repetition and active recall.

Key features:

  • AI generates flashcards from your notes and PDFs
  • Spaced repetition schedules reviews optimally
  • Quizzes that test active recall
  • Native iOS and Android apps (coming soon)
  • Offline study support with cloud sync

Join the waitlist for early access.

]]> Sayuri M. Product Launch Waitlist Built on Learning Science — Spaced Repetition and Active Recall https://ankicat.com/#science https://ankicat.com/updates/learning-science Fri, 27 Jun 2026 00:00:00 +0000 AnkiCat is built on decades of cognitive psychology research. Spaced repetition, active recall, and the testing effect — explained. AnkiCat applies three evidence-based learning techniques:

  • Spaced Repetition: Cards return right before you would forget them.
  • Active Recall: Retrieving information from memory strengthens it more than re-reading.
  • The Testing Effect: Quizzes are both assessment and learning tools.

Read the research: Dunlosky et al. (2013). Improving students' learning with effective learning techniques. Psychological Science in the Public Interest.

]]> Sayuri M. Learning Science Research Native iOS and Android Apps — Coming to App Store and Google Play https://ankicat.com/ https://ankicat.com/updates/native-apps Fri, 27 Jun 2026 00:00:00 +0000 AnkiCat native mobile apps are coming to iOS and Android. Optimized for quick reviews, offline study, and background sync. AnkiCat is launching with native apps for iOS and Android, optimized for:

  • Quick review sessions on the go
  • Offline study with automatic sync
  • Push notifications for due reviews
  • Native gesture navigation and haptics

Join the waitlist to get notified when the apps launch.

]]> Sayuri M. Mobile iOS Android AI With Conscience: Only 1 Feature Uses AI, and We Pay For What We Use https://ankicat.com/ https://ankicat.com/updates/ai-conscience-credit-model Fri, 27 Jun 2026 00:00:00 +0000 AnkiCat has 15+ features. Only 1 uses generative AI — and it does so with conscience: limited credits per subscription, per-use extras via Stripe, and a monthly cap. Backed by peer-reviewed research on AI's real environmental cost. AnkiCat is a full study platform — flashcards, quizzes, spaced repetition, expert decks, sync, offline support, and more. Only one feature (AI deck drafting) uses generative AI.

How the credit model works: Subscriptions include limited AI drafting credits. Need more? Purchase extras per use via Stripe. A monthly cap prevents wasteful consumption. Every generation has a real environmental cost.

The data behind our decision (peer-reviewed):

  • Training GPT-3 evaporated 700,000 liters of clean freshwater in Microsoft's U.S. data centers.
  • A typical 20-50 question AI conversation consumes about 500ml of water for cooling.
  • Global AI demand is projected to withdraw 4.2-6.6 billion cubic meters of water in 2027 — more than the total annual water withdrawal of 4-6 Denmarks combined, or half the UK.

Source: Li, P., Yang, J., Islam, M. A., & Ren, S. (2023). Making AI Less "Thirsty". Communications of the ACM. arXiv:2304.03271

AnkiCat's model: visible cost, intentional use, capped monthly. When you buy credits, you support economical AI — fewer wasted runs, less water for cooling, and flashcards generated only when your material deserves them.

Also: All support is human. Real Analyst CS Support team members, no chatbots, no deflection.

]]> Sayuri M. Sustainability AI Ethics Product