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Divya Chakshu icon

How much does Divya Chakshu earn?

Android app from Abhinandan Narendra · Lifestyle

ML forecast ★ 3.8 · 1K Free

~503/mo

ML revenue forecast. Calibrated against 51929 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.

Divya Chakshu screenshot 1 Divya Chakshu screenshot 2 Divya Chakshu screenshot 3 Divya Chakshu screenshot 4

Divya Chakshu's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Divya Chakshu sits in Lifestyle

Revenue distribution of 51929 comparable apps. Divya Chakshu highlighted.

Divya Chakshu vs comparable apps

Revenue trajectory side-by-side. Bold = Divya Chakshu, ghosted = peers.

App spec

Version
8.5
Last update
Jan 01, 2026
Launched
May 08, 2017
Price
Free
Monetization
Free

What Divya Chakshu actually does (from store listing)

Vedic astrology is super science with high number of calculations. These calculations aid in improving the accuracy of predictions. Having most of the calculations in one app helps in faster analysis and hence i have built this software. The objective behind developing this app is to make vedic astrology reach all those people who are in need and also help in deeper research on this subject. The software is built as per classical literature. General predictions based on the planet position will …
Read full description →

Comparable Android apps

The five apps in Lifestyle with the closest revenue to Divya Chakshu. Click any to see its detail page.

AppRevenueRatingRatings
엠틱 icon 엠틱 503 0
Классическое Таро: Гадание icon Классическое Таро: Гадание 503 ★ 4.3 2K
Alcohol Check - BAC Calculator icon Alcohol Check - BAC Calculator 503 ★ 4.2 2K
GC Barbershop icon GC Barbershop 504 0
Lal Kitab icon Lal Kitab 504 ★ 4.1 1K
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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 Divya Chakshu's tracker page for current rating, reviews and snapshot timeline.

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