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Iori Flashcards: Sprachen icon

How much does Iori Flashcards: Sprachen earn?

iOS app from Lior Levy · News

ML forecast ★ 4.7 · 576 +3035.0% MoM Freemium

~412/mo

ML revenue forecast. Calibrated against 2624 apps in this category.

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

At a glance

Iori Flashcards: Sprachen's revenue trajectory

Forecast revenue from snapshot history. Last 8 months.

Where Iori Flashcards: Sprachen sits in News

Revenue distribution of 2624 comparable apps. Iori Flashcards: Sprachen highlighted.

Iori Flashcards: Sprachen vs comparable apps

Revenue trajectory side-by-side. Bold = Iori Flashcards: Sprachen, ghosted = peers.

App spec

Version
1.3.0
Last update
Feb 06, 2026
Launched
Sep 09, 2025
Min OS
15.1
Rating
4+
Price
Free
Monetization
Freemium
Languages
EN

What Iori Flashcards: Sprachen actually does (from App Store listing)

Learning a foreign language has never been so simple and motivating! With Iori Flashcard, turn your revision into a real game thanks to a fun, effective, and personalized method. - Learn the language of your choice Discover complete courses for each language Review with thematic decks adapted to your level From essential vocabulary to useful everyday phrases - Gamified learning Unlock achievements and beat your high scores Track your progress statistics (accuracy, combos, cards learned) …
Read full description →

🆕 What's new · v1.3.0

- Daily Flashcards - Bug fixes

Comparable iOS apps

The five apps in News with the closest revenue to Iori Flashcards: Sprachen. Click any to see its detail page.

AppRevenueRatingRatings
Готувати Торт - Гра для Дітей icon Готувати Торт - Гра для Дітей 412 ★ 4.0 3K
Полиглот - Испанский язык icon Полиглот - Испанский язык 411 ★ 4.9 35
QuranStart icon QuranStart 410 ★ 4.7 37
QuizAcademy icon QuizAcademy 414 ★ 5.0 1
ЗНО тести icon ЗНО тести 410 ★ 5.0 2
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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 Iori Flashcards: Sprachen's tracker page for current rating, reviews and snapshot timeline.

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