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How much does Harsh Barasiya earn?

Android app from Harsh Barasiya · Education

ML forecast ★ 5.0 · 1K Free

~353/mo

ML revenue forecast. Calibrated against 120891 apps in this category.

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

At a glance

What the app looks like

Live screenshots from the Play Store, captured by our snapshot worker. Tap any image to enlarge.

Harsh Barasiya screenshot 1 Harsh Barasiya screenshot 2 Harsh Barasiya screenshot 3 Harsh Barasiya screenshot 4

Harsh Barasiya's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Harsh Barasiya sits in Education

Revenue distribution of 120891 comparable apps. Harsh Barasiya highlighted.

Harsh Barasiya vs comparable apps

Revenue trajectory side-by-side. Bold = Harsh Barasiya, ghosted = peers.

App spec

Version
Varies with device
Launched
Dec 27, 2020
Price
Free
Monetization
Free

What Harsh Barasiya actually does (from store listing)

Harsh Barasiya is an online platform for managing data associated with its tutoring classes in the most efficient and transparent manner. It is a user-friendly app with amazing features like online attendance, fees management, homework submission, detailed performance reports and much more- a perfect on- the- go solution for parents to know about their wards’ class details. It’s a great amalgamation of simple user interface design and exciting features; greatly loved by students, parents, and tu…
Read full description →

Comparable Android apps

The five apps in Education with the closest revenue to Harsh Barasiya. Click any to see its detail page.

AppRevenueRatingRatings
10. Sınıf Tüm Ders İnternetsiz icon 10. Sınıf Tüm Ders İnternetsiz 353 0
Romanian-Turkish Translator icon Romanian-Turkish Translator 353 0
Model Mobil Kütüphane icon Model Mobil Kütüphane 353 0
EMT Flashcards icon EMT Flashcards 353 ★ 4.2 362
Marathi Alphabet icon Marathi Alphabet 353 0
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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 Harsh Barasiya's tracker page for current rating, reviews and snapshot timeline.

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