Technical Analysis: How Immediate Luminary Works
Immediate Luminary version 1.1.1 is a specialized cryptocurrency transaction management application built specifically for iOS devices running version 14.0 or later. The application implements a local-first architecture, storing all transaction data directly on the device using iOS secure storage mechanisms without any cloud synchronization or external server communication.
Technical Specifications
- Application Size: 4.5 MB compressed download
- Platform Compatibility: iPhone and iPod touch with iOS 14.0 minimum
- Storage Architecture: Local SQLite database with encrypted storage
- Network Requirements: None after initial installation
- Data Privacy Model: Zero external transmission, all processing on-device
- Developer: Agence De Placement Select Inc (Finance category publisher)
The application's core functionality centers on a folder-based organization system that allows users to categorize cryptocurrency transactions into custom groups. The interface implements a dual-view toggle system for separating incoming and outgoing transactions, with each transaction record containing comprehensive blockchain data including transaction hashes, wallet addresses, block numbers, timestamps, and confirmation status indicators.
What differentiates Immediate Luminary from competing transaction trackers is its multi-blockchain support without requiring API integrations. Users can manually input transaction details from any blockchain network, whether Ethereum, Bitcoin, Tron, or alternative chains, without the application needing direct blockchain access. This approach eliminates the privacy risks associated with API-based trackers that must connect to external services.
The statistical visualization system uses a donut chart implementation with color-coded segments representing transaction distribution across folders. The current analytics display shows percentage breakdowns with distinct visual identifiers: blue segments for primary folders, pink and purple for secondary categories, and red for specialized tracking groups. This visual approach allows users to quickly identify spending patterns and transaction frequency across different categories.