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How much does Jai Jinendra earn?

Android app from Ultraliant Infotech Pvt. Ltd. · Social

ML forecast ★ 4.0 · 2K Free

~693/mo

ML revenue forecast. Calibrated against 23165 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.

Jai Jinendra screenshot 1 Jai Jinendra screenshot 2 Jai Jinendra screenshot 3 Jai Jinendra screenshot 4

Jai Jinendra's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Jai Jinendra sits in Social

Revenue distribution of 23165 comparable apps. Jai Jinendra highlighted.

Jai Jinendra vs comparable apps

Revenue trajectory side-by-side. Bold = Jai Jinendra, ghosted = peers.

App spec

Version
4.2.4
Last update
Sep 07, 2024
Launched
Mar 08, 2016
Price
Free
Monetization
Free

What Jai Jinendra actually does (from store listing)

Jai Jinendra ! Its a App for Jain Community across the world to bring all Jains more closer to help each other Socially, Personally and in Profession... This App has been conceptualize by Brand Community and developed by Ultraliant Infotech Pvt ltd. Please grant permission of accessing mobile data and other permissions manually in case of any misbehave of the app. If you are new then please click on "I am New User" for Registration. If you are existing User and want to change your de…
Read full description →

Comparable Android apps

The five apps in Social with the closest revenue to Jai Jinendra. Click any to see its detail page.

AppRevenueRatingRatings
Good News Bible icon Good News Bible 694 ★ 4.1 7K
MR X: Gay Dating & Chat icon MR X: Gay Dating & Chat 692 ★ 2.8 3K
OceanHero Browser icon OceanHero Browser 692 ★ 4.8 19K
Birthday Info Widget icon Birthday Info Widget 691 ★ 3.4 3K
Heymandi Make Friends by Words icon Heymandi Make Friends by Words 696 ★ 3.0 6K
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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 Jai Jinendra's tracker page for current rating, reviews and snapshot timeline.

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