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How much does Apps We Recommend earn?

Android app from AppTornado · Tools

ML forecast ★ 4.0 · 2K Free

~632/mo

ML revenue forecast. Calibrated against 77129 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.

Apps We Recommend screenshot 1 Apps We Recommend screenshot 2 Apps We Recommend screenshot 3 Apps We Recommend screenshot 4

Apps We Recommend's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where Apps We Recommend sits in Tools

Revenue distribution of 77129 comparable apps. Apps We Recommend highlighted.

Apps We Recommend vs comparable apps

Revenue trajectory side-by-side. Bold = Apps We Recommend, ghosted = peers.

App spec

Version
3.0.1
Last update
Jun 03, 2026
Launched
Feb 07, 2013
Price
Free
Monetization
Free

What Apps We Recommend actually does (from store listing)

<b>Hot Apps is the fastest way to discover recommended apps and games for your Android device.</b> This app provides a convenient, quick interface to browse through the latest apps and games on Google Play. Find out about the latest app trends. Updated daily! * Three categories of apps: Apps, Alltime Popular apps and Featured apps * App preview with icon, downloads, creator and market category of each app * Each market category is quickly visible by an appropriate icon * Updated daily f…
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Comparable Android apps

The five apps in Tools with the closest revenue to Apps We Recommend. Click any to see its detail page.

AppRevenueRatingRatings
Solves: Calculator for All icon Solves: Calculator for All 632 ★ 4.2 2K
Darwin VPN Fast, Secure, Proxy icon Darwin VPN Fast, Secure, Proxy 632 ★ 4.2 6K
Speed View GPS icon Speed View GPS 632 ★ 4.0 2K
ZONT icon ZONT 632 ★ 4.7 5K
PAYGE icon PAYGE 632 ★ 3.9 2K
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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 GetAppValue'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 Apps We Recommend's tracker page for current rating, reviews and snapshot timeline.

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