An Ethereum-based Telegram bot aimed at optimizing bundling functionalities and addressing migration challenges.

Project Description

Catapult is an innovative Ethereum-based bundling bot primarily used within Telegram to facilitate seamless transactions and bundling operations. Originally built with Rust, the application faced critical challenges when migrated to Node.js, causing inefficiencies in bundling and transaction execution. The primary users of this system are developers and organizations involved in Ethereum transactions requiring optimized process flows and enhanced bundling mechanisms. By leveraging advanced Ethereum bundling techniques, Catapult ensures optimal gas fee usage and efficient transaction simulations, providing users with streamlined and reliable operations. It integrates directly with Telegram, offering a user-friendly interface for monitoring and managing Ethereum transactions. Enhanced with robust testing and validation procedures, Catapult significantly improves transaction reliability and operational efficiency.

Scope of Work

The client initially sought a resolution for the critical issues faced after migrating from Rust to Node.js, where the application was consuming excessive ETH during simulation and execution phases. Key challenges included optimizing the Telegram bot integration with Ethereum bundling processes, ensuring accurate transaction simulations, and addressing discrepancies in the new Node.js code that were not present in the Rust version. The goal was to establish a seamless and efficient bundling mechanism capable of reducing operational costs and improving transaction speed, necessitating thorough troubleshooting and testing to align with Ethereum's transaction processing standards.

Our Solution

Crazi Co implemented a structured and comprehensive approach to address the client's challenges. The existing Node.js code was meticulously analyzed to identify and rectify discrepancies with the original Rust implementation. Strategic refactoring of the bundling logic was undertaken to align more closely with Ethereum's established transaction standards, significantly reducing the excessive ETH requirement during simulations. Additional features incorporated included multi-bonding curve support for enhanced token trading and a robust referral system to incentivize user interactions. Comprehensive testing was conducted on a simulated network to ensure seamless integration and functionality, alongside a timeline-based approach allowing for efficient troubleshooting and enhancements, ultimately delivering a reliable and optimized solution.

Key Features

• Optimized Ethereum Bundling: Enhanced bundling logic aligning with Ethereum’s processing standards to reduce excessive ETH utilization and promote cost efficiency.

• Advanced Telegram Integration: Seamless integration with Telegram, providing users an intuitive interface to manage and monitor Ethereum transactions effectively.

• Multi-Bonding Curve Support: Integration of multi-bonding curve functionalities to facilitate efficient token trading and improve liquidity creation strategies.

• Robust Testing and Validation: Conducted comprehensive testing on a test network to validate transaction simulations and bundling functionalities, ensuring reliability and performance.