Fish AI - AI Fishing App

What it does

Fish AI is a data-driven companion for anglers. The app's primary function is to predict successful fishing spots using a combination of environmental parameters, weather data, and user preferences. It offers a map-based interface to explore these locations, a camera feature to identify fish species from a photo, and a log to keep track of catches. It also includes an AI-powered 'Fish Coach' to provide conversational advice on techniques and conditions.

Where it shines

Fish AI stands out with its incredibly thorough onboarding process. The app invests over a minute in a detailed quiz (starting at 00:10) to understand the user's habits, goals, and frustrations. This isn't just data collection, it's a powerful way to frame the app as a deeply personalized tool. Another highlight is the 'Fish Scanner' (02:49). By allowing users to identify a catch with their camera, the app creates a moment of magic and utility, turning a simple photo into a data-rich entry in their log.

UX highlights

Personalization Priming: The extensive onboarding quiz successfully primes the user to expect a highly tailored experience, justifying the subsequent subscription offer.
Value-Driven Loading: The 'building your plan' screen (01:43) is a brilliant piece of UX. It turns a wait into a trust-building exercise by showing a multi-step process and a user testimonial.
AI Fish Coach: The integrated chatbot (04:22) provides a natural, conversational way for users to get answers without navigating complex menus, offering specific advice on where to fish or what lure to use.
Data-Rich Fish Profiles: When a fish is identified or looked up (03:06), the app provides a comprehensive profile covering its diet, habits, and key characteristics, adding educational value.
Interactive Map Filters: The map interface includes intuitive filters for fish type, distance, water type, and location type (06:31), allowing for powerful, customized searches.
Multiple Map Styles: The app offers different map views like Satellite and Street Dark (07:25), catering to user preferences for different lighting conditions and terrain visibility.

Monetization & growth

Monetization is handled through a soft paywall presented after the onboarding quiz. The primary offer is a 3-day free trial that converts to an annual subscription. The paywall screen (02:24) effectively reduces friction by showing a clear visual timeline of the trial: when access starts, when a reminder is sent, and when billing begins. A secondary, shorter-term paid trial is also offered as a lower-commitment alternative. The app also includes a referral code field (01:39), suggesting a user acquisition loop.

Who it’s for

This app is designed for recreational anglers, from beginners to intermediate enthusiasts, who are looking to improve their success rate. It appeals to users who are comfortable with technology and believe that data can give them an edge. The features cater to those who want to plan their trips more effectively, learn about different species, and keep a digital log of their accomplishments.

Notes & opportunities

The onboarding, while effective at personalization, is very long and may lead to significant user drop-off. Shortening the quiz or making more questions optional could improve completion rates. The main dashboard (02:40) presents a lot of information at once, which could be overwhelming for new users. A more guided tour of the main UI after subscription could help with initial engagement.