Fish AI - AI Fishing App

786.8K installs
15.7K ratings
134K monthly active users
$<10K monthly revenue est.
IAP 100% · Ad 0%
Install Trends
Weekly +15.8K
Trending
Monthly +50.4K
Trending

Fish AI - AI Fishing App Summary

Fish AI - AI Fishing App is a with in-app purchases iOS app in Sports by GymBros Inc.. Released in Jan 2025 (1 year ago). It has 15.7K ratings with a 4.72★ (excellent) average. Based on AppGoblin estimates, it reaches roughly 134K monthly active users and generates around $<10K monthly revenue (100% IAP / 0% ads). Store metadata: updated Apr 10, 2026, version 84.

Recent activity: 298 new ratings this week View trends →

Data tracking: SDKs and third-party integrations were last analyzed on Apr 25, 2026.

Store info: Last updated on App Store on Apr 10, 2026 (version 84).


4.72★

Ratings: 15.7K

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Screenshots

App Description

HOW TO USE FISH AI:


1) Answer fishing questions to customize predictions specifically for you.


2) Get daily personalized fishing spot suggestions up to 10 days in advance.


3) Consult the AI-powered Fish Coach anytime for expert fishing tips, strategies, and advice.


4) Log and rank your catches to track your progress.


Fish AI isn't another complicated fishing app depending on manual data from other anglers. Instead, we leverage science-based insights, professional expertise, and proven fish behavior to deliver precise, reliable predictions. Our mission is to empower every angler, helping you catch more fish and enjoy every moment on the water. Patience and the right tools are essential—Fish AI equips you with the critical information to enhance your fishing success!


If you have any ideas or questions, please email us at support@fishai.app

NOTE: We do not condone illegal or unauthorized fishing activities. Any and all recommendations should be viewed as purely informational, please consult with local authorities and do your own research before fishing at the water.

*PREDICTION RESULTS REQUIRE A SUBSCRIPTION.

TERMS: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/