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Notable Code: RATU Moon Radar

This document highlights key code sections that demonstrate the technical strengths and architectural patterns implemented in this multi-chain DEX scanner.

Overview

RATU Moon Radar is a multi-chain DEX pair scanner and early token detector using the Moralis API. The system demonstrates prototyping-focused blockchain integration patterns including multi-chain support, dynamic pair parsing, and connection pooling.

1. Multi-Chain Configuration

File: Configuration files
Lines: Chain-specific settings

The system supports multiple blockchain networks (Ethereum, BNB Chain, Polygon, Base) with unified interface and chain-specific token address mappings.

Why it's notable:
- Unified interface across different blockchain networks
- Chain-specific configuration for token address mappings
- Supports major DEX protocols per chain (Uniswap, PancakeSwap, QuickSwap)
- Enables comprehensive token discovery across networks

2. Dynamic Pair Parsing

File: Pair parsing implementation
Lines: parse_pair() function

The system implements flexible CLI parsing supporting multiple input formats: ethusdt, eth/usdt, ETH/USDT with automatic separator detection.

Why it's notable:
- Handles multiple input formats gracefully
- Token address lookup per chain handles variations
- Improves user experience with flexible input handling
- Automatic separator detection and normalization

3. Connection Pooling for API Optimization

File: HTTP client implementation
Lines: httpx connection pooling setup

The system uses httpx connection pooling to reduce API latency for repeated requests by reusing connections across calls.

Why it's notable:
- Reduces API latency for repeated requests
- Reuses connections across requests
- Optimizes performance for multi-chain scans
- Type-safe dataclass results ensure structured output

Architecture Highlights

CLI-Based Architecture

  1. Dynamic Pair Parser: Flexible input format handling
  2. Multi-Chain Scanner: Unified interface across chains
  3. Moon Token Scanner: Early detection of trending assets
  4. Connection Pooling: Optimized API performance

Design Patterns Used

  1. Multi-Chain Pattern: Unified interface for different networks
  2. Dynamic Parsing Pattern: Flexible input format handling
  3. Connection Pooling Pattern: Reuse connections for performance
  4. Type Safety Pattern: Dataclass results for structured output

Technical Strengths Demonstrated