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How much does CrazyStone DeepLearning earn?

Android app from UNBALANCE Corporation · Board

ML forecast ★ 4.2 · 10K Free

~976/mo

ML revenue forecast. Calibrated against 6680 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.

CrazyStone DeepLearning screenshot 1 CrazyStone DeepLearning screenshot 2 CrazyStone DeepLearning screenshot 3 CrazyStone DeepLearning screenshot 4

CrazyStone DeepLearning's revenue trajectory

Forecast revenue from snapshot history. Last 1 months.

Where CrazyStone DeepLearning sits in Board

Revenue distribution of 6680 comparable apps. CrazyStone DeepLearning highlighted.

CrazyStone DeepLearning vs comparable apps

Revenue trajectory side-by-side. Bold = CrazyStone DeepLearning, ghosted = peers.

App spec

Version
3.1.9
Last update
Jan 27, 2026
Launched
Jul 18, 2017
Price
Free
Monetization
Free

What CrazyStone DeepLearning actually does (from store listing)

The strongest, the best Go app in the world based on Crazy Stone employing Deep Learning technology ! New Features!! -Online Games against Go players all over the world -IAGA Rating Certification Tests Challenge the Dan/Kyu tests provided by the International AI Go Association. -Premium Membership Completely ad free, higher levels and additional features for Premium Members. Crazy Stone has made a huge step forward by combining Deep Neural Networks with Monte Carlo Tree Se…
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Comparable Android apps

The five apps in Board with the closest revenue to CrazyStone DeepLearning. Click any to see its detail page.

AppRevenueRatingRatings
Cultura Chupistica 2 icon Cultura Chupistica 2 974 ★ 4.2 7K
Backgammon icon Backgammon 979 ★ 4.4 11K
神來也暗棋2:線上暗棋、象棋麻將 icon 神來也暗棋2:線上暗棋、象棋麻將 979 ★ 3.2 14K
Ludo Mania icon Ludo Mania 972 ★ 4.2 5K
Chinese Chess / Co Tuong icon Chinese Chess / Co Tuong 971 ★ 4.4 7K
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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 CrazyStone DeepLearning's tracker page for current rating, reviews and snapshot timeline.

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