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Retain Cards: AI Flashcards icon

How much does Retain Cards: AI Flashcards earn?

iOS app from Retain Labs GmbH · News

ML forecast ★ 4.5 · 186 +41.2% MoM Free

~10.4K/mo

ML revenue forecast. Calibrated against 2560 apps in this category.

Confidence band
±15%
High — many comparable apps with verified data

At a glance

Retain Cards: AI Flashcards's revenue trajectory

Forecast revenue from snapshot history. Last 5 months.

Where Retain Cards: AI Flashcards sits in News

Revenue distribution of 2560 comparable apps. Retain Cards: AI Flashcards highlighted.

Retain Cards: AI Flashcards vs comparable apps

Revenue trajectory side-by-side. Bold = Retain Cards: AI Flashcards, ghosted = peers.

App spec

Version
2.7
Last update
Jun 30, 2026
Launched
May 07, 2025
Min OS
15.0
Rating
4+
Price
Free
Monetization
Free
Languages
DA, NL, EN, FI +8

What Retain Cards: AI Flashcards actually does (from App Store listing)

Welcome to Retain – the AI-powered flashcard app that turns your personal learning materials into effective study tools. Whether you're in school, university, or pursuing self-learning, Retain helps you study faster, retain more, and stay on track. How it works: 1. Upload your study material (PDF/image/video) 2. Verify the AI-generated flashcards 3. Select desired grade and exam date 4. Follow your personalized learning plan What you can do with Retain: → Automatically generate flashcards from…
Read full description →

🆕 What's new · v2.7

Added Voice Mode for learning sessions.

Comparable iOS apps

The five apps in News with the closest revenue to Retain Cards: AI Flashcards. Click any to see its detail page.

AppRevenueRatingRatings
Kleine Bauarbeiter icon Kleine Bauarbeiter 10.4K ★ 4.4 3K
Gleam: Social Intelligence icon Gleam: Social Intelligence 10.4K ★ 4.8 5K
CPD Portfolio icon CPD Portfolio 10.4K ★ 5.0 8
IHK.AEVO–Trainieren und Testen icon IHK.AEVO–Trainieren und Testen 10.4K ★ 4.2 3K
Просте ЗНО/НМТ icon Просте ЗНО/НМТ 10.4K ★ 4.8 3K
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How we calculated this

Each forecast combines App Store rating, ratings count, monetisation model, pricing tier, IAP signals and ad-supported flag. The base estimate is then multiplied by a per-category scaling factor learned from apps with founder-verified MRR. Every number on this page comes from public APIs and bumetric's own snapshot history.

Full methodology covers input variables, accuracy bands per category and how we treat apps without comparable anchors. See also the live data on Retain Cards: AI Flashcards's tracker page for current rating, reviews and snapshot timeline.

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