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Matematicko-fyzikální fakulta Univerzity Karlovy icon

How much does Matematicko-fyzikální fakulta Univerzity Karlovy earn?

YouTube channel from @matfyz · YouTube Channels

✓ Verified MRR ★ 1.8 · 4K Free

~10/mo

Founder-verified via Stripe Connect or App Store Connect.

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

At a glance

Matematicko-fyzikální fakulta Univerzity Karlovy's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Matematicko-fyzikální fakulta Univerzity Karlovy sits in YouTube Channels

Revenue distribution of 685093 comparable apps. Matematicko-fyzikální fakulta Univerzity Karlovy highlighted.

Matematicko-fyzikální fakulta Univerzity Karlovy vs comparable apps

Revenue trajectory side-by-side. Bold = Matematicko-fyzikální fakulta Univerzity Karlovy, ghosted = peers.

App spec

Launched
May 06, 2026
Price
Free
Monetization
Free

What Matematicko-fyzikální fakulta Univerzity Karlovy actually does (from store listing)

👨‍🔬 Vítejte na Matfyzu – fakultě matematiky, fyziky, informatiky a učitelství! Narazit tu můžeš na záznamy přednášek, rozhovorů, ale i videa ze života a výzkumu našich studentů a studentek. #studylikeaking #budmatfyzak 🎓 Welcome to Matfyz – the Faculty of Mathematics, Physics, Computer Science, and Education! We are one of the leading institutions in Central Europe and as part of Charles University, one of the oldest and most prestigious universities in Europe, we are dedicated to excellence in…
Read full description →

Comparable YouTube channels

The five apps in YouTube Channels with the closest revenue to Matematicko-fyzikální fakulta Univerzity Karlovy. Click any to see its detail page.

AppRevenueRatingRatings
CelebWatch icon CelebWatch 10 ★ 2.2 25K
Manicero scan icon Manicero scan 10 ★ 1.8 4K
بنت زايد icon بنت زايد 10 ★ 2.4 50K
Oreste Eduardo Calcagni icon Oreste Eduardo Calcagni 10 ★ 1.9 6K
깨비도령TV icon 깨비도령TV 10 ★ 2.4 62K
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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 Matematicko-fyzikální fakulta Univerzity Karlovy's tracker page for current rating, reviews and snapshot timeline.

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