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Mobile Data Repository

Mobile App
React NativeAndroidiOSTypeScriptAPI
Mobile Data Repository cover image

Summary

A high-performance mobile data repository developed in React Native, featuring asynchronous ingestion of 1,000+ unique data entries from a large-scale RESTful API.

Details

StellarDex is a cross-platform mobile application designed as a high-scale data repository for indexing and managing massive datasets. Built with React Native and TypeScript, the application demonstrates advanced capabilities in asynchronous data orchestration, successfully ingesting and populating a dynamic catalog of over 1,000 unique entries from a complex, public RESTful API.

The application architecture uses a modular framework similar to CafeCalc, but optimized for higher data density and frequent read-operations.

High-Volume API Orchestration

The core of the application is a robust data ingestion pipeline designed to handle large-scale entity sets:

  • Asynchronous Data Fetching: Implemented advanced async/await logic to manage concurrent requests, ensuring the UI remains responsive while the system fetches detailed metadata for over 1,000 unique indexed items.
  • RESTful Ingestion: Engineered a data-parsing layer that normalizes raw JSON output from a large-scale public API into a standardized format used across the application's internal state.
  • Service Layer Integration: Orchestrated Google AdMob for dynamic revenue generation and RevenueCat for secure in-app purchase and entitlement management, mirroring a production-ready monetization stack.

Performance Optimization & State Management

Managing a repository of this scale required specific optimizations to prevent memory leaks and ensure smooth navigation:

  • Dynamic Catalog Rendering: Developed optimized list-rendering logic (FlatList) to efficiently display 1,000+ entries, using lazy loading and virtualization to maintain high frame rates.
  • Context Caching Layer: Leveraged the React Context API to implement a caching strategy that stores previously fetched entity data, significantly reducing redundant network overhead and improving transition speeds between data views.
  • TypeScript Type Safety: Utilized strict typing to define the complex data schemas returned by the API, ensuring data integrity across the entire application lifecycle.

Modular Interface & Theming

The front-end focuses on clarity and accessibility for data-dense environments:

  • Interactive Data Visualization: Developed custom UI components to represent complex entity attributes through responsive charts and categorized data grids.
  • Proprietary Theming Engine: Developed custom logic to handle global theme states, allowing users to toggle between multiple visual modes (including system-aware dark/light modes) without performance reduction.
  • Responsive Layouts: Engineered a fluid UI/UX that adapts to various screen resolutions, ensuring a native-level experience on both smartphone and tablet form factors.

Deployment & Scalability

  • Active Development: The application is currently in a late-stage development phase, preparing for public deployment.
  • Cross-Platform Readiness: The codebase is fully architected for simultaneous deployment to the Google Play Store and Apple App Store.
  • Advanced Filtering Logic: Future R&D includes implementing client-side algorithmic sorting and filtering to allow users to navigate the 1,000+ entry catalog efficienctly.

Gallery

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