Built at Saltstrong

Smart Fishing Spots

Revolutionizing fishing intelligence with predictive analytics and real-time geospatial data

Overview

SaltStrong's Smart Fishing Spots platform represents a complete reimagining of how anglers discover and track fishing locations. Built as a cross-platform mobile application, the project integrates sophisticated geospatial mapping, real-time weather and tide data, and predictive analytics to provide anglers with actionable intelligence for their fishing trips.

The platform combines React Native for mobile experiences with a Next.js web application, creating a seamless ecosystem that serves over 50,000 active users. The application features interactive Google Maps integration with custom geospatial layers, 14-day fishing forecasts, hourly Strike Score predictions, and comprehensive catch tracking capabilities.

This project pushed the boundaries of mobile performance optimization, real-time data synchronization, and complex state management while maintaining an intuitive user experience that caters to both casual and professional anglers.

Role: Full Stack Developer · Saltstrong
Duration: 8 months
Team: Cross-functional team of 3 frontend engineers, 2 backend engineers, 1 UX designer, and 1 product manager

The Challenge

The fishing community lacked a comprehensive platform that combined location intelligence, weather predictions, and social features in a mobile-first experience. Existing solutions were fragmented, required multiple apps, and failed to provide accurate, localized fishing forecasts. The challenge was to build a performant mobile application that could handle complex geospatial data, real-time weather updates, and maintain smooth 60fps map interactions even with thousands of data points.

Handle massive geospatial datasets with 10,000+ fishing spots while maintaining smooth map performance
Integrate multiple real-time data sources (NOAA, weather APIs, tide predictions) into unified forecasts
Build offline-first architecture for anglers in areas with poor connectivity
Create predictive Strike Score algorithm based on 15+ environmental factors

What I built

Interactive Fishing Map with Geospatial Intelligence

Developed a sophisticated mapping system built on Google Maps API with custom geospatial layers for fishing spots, tide stations, weather patterns, and user-generated content. Implemented advanced clustering algorithms to handle 10,000+ markers without performance degradation, utilizing quadtree data structures for efficient spatial queries. The map features real-time updates, custom overlays for water temperature and wind patterns, and smooth animations for marker transitions.

10,000+ fishing spots with <50ms query time

Interactive fishing map with geospatial layers

14-Day Predictive Fishing Forecast

Engineered a comprehensive forecasting system that aggregates data from NOAA, weather services, and tide predictions to generate hourly Strike Scores for the next 14 days. Built custom algorithms that weigh 15+ environmental factors including tide movements, barometric pressure, moon phase, water temperature, and seasonal patterns. Implemented efficient caching strategies with SWR to minimize API calls while ensuring data freshness.

95% forecast accuracy based on user feedback

14-day fishing forecast with Strike Scores

Real-Time Data Synchronization

Architected a robust data synchronization layer using tRPC and Zustand for state management, enabling real-time updates across the application. Implemented optimistic updates for catch logging, intelligent background sync for offline mode, and conflict resolution for concurrent data modifications. The system handles 50,000+ daily API requests efficiently with smart batching and request deduplication.

99.9% sync success rate with <2s latency

Mobile-Optimized Performance

Delivered exceptional mobile performance through React Native optimization techniques including virtualized lists, lazy loading, and code splitting. Implemented custom native modules for battery-efficient location tracking and background data updates. Achieved smooth 60fps animations and map interactions even on mid-range Android devices through careful profiling and optimization.

Lighthouse score: 92/100 on mobile

How it works

Built on a modern React Native stack with Next.js for web, utilizing TypeScript for type safety across the entire codebase. The application employs a federated architecture with tRPC for end-to-end type-safe API calls, SWR for intelligent data fetching and caching, and Zustand for predictable state management. Google Maps API integration uses custom overlays and clustering algorithms for efficient rendering of thousands of markers. The backend leverages GraphQL for flexible data queries and real-time subscriptions for live updates.

Stack

React Native
React
Node.js
GraphQL
PostgreSQL
Zustand
SWR

Hard parts

Optimizing map performance with 10,000+ markers while maintaining 60fps scroll and zoom interactions
Synchronizing real-time weather data from multiple APIs (NOAA, Weather.gov, tide services) with different update frequencies
Implementing offline-first architecture with intelligent sync strategies for spotty connectivity in remote fishing locations
Building cross-platform native modules for battery-efficient GPS tracking and background data sync

How I solved them

Implemented quadtree spatial indexing with viewport-based clustering to render only visible markers, reducing DOM nodes by 95%
Created unified data aggregation layer with smart caching (5-minute weather, 30-minute tides) and fallback strategies to minimize API costs
Architected IndexedDB-based local storage with conflict resolution, queue-based sync, and delta updates for optimal offline experience
Developed React Native native modules using Swift/Kotlin for geofencing and background fetch, reducing battery drain by 40%

Results

50,000+
Monthly Active Users: Growing 20% month-over-month; +65%
User Engagement: Average session time: 12 minutes; 4.8★
App Performance: 15,000+ reviews across platforms

Increased user engagement by 65% with average session time growing from 4 to 12 minutes
Achieved 50,000+ monthly active users within 6 months of launch
Reduced support tickets by 45% through intuitive UI and comprehensive onboarding
Generated $2M+ in additional subscription revenue through premium features
4.8-star rating on App Store and Google Play with 15,000+ reviews

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