
Akhilesh Goswami developed and enhanced revenue tracking features for the DefiLlama/dimension-adapters repository, focusing on both single-chain and cross-chain scenarios. He consolidated revenue streams across KStore, service charges, swaps, staking, and Loyalty, introducing native token tracking for Aptos and integrating Kgen fee contracts for Aptos and Polygon. His technical approach involved refactoring event fetching logic to support fungible and native deposits, optimizing data retrieval with batch processing and timestamp caching, and improving documentation for clarity. Using TypeScript, smart contract interaction, and event-driven architecture, Akhilesh’s work provided a robust foundation for accurate, scalable, and maintainable multi-chain revenue analytics.

Concise monthly summary for 2025-11 focusing on DefiLlama/dimension-adapters work. Delivered a cross-chain revenue-tracking feature by introducing Kgen fee contracts for Aptos and Polygon, enhancing revenue event handling and reporting across chains. No major bugs fixed this month. Overall impact includes improved revenue tracking accuracy, better cross-chain visibility, and a foundation for future multi-chain expansion. Key technologies include Kgen fee contracts, Aptos and Polygon integrations, and cross-chain data handling.
Concise monthly summary for 2025-11 focusing on DefiLlama/dimension-adapters work. Delivered a cross-chain revenue-tracking feature by introducing Kgen fee contracts for Aptos and Polygon, enhancing revenue event handling and reporting across chains. No major bugs fixed this month. Overall impact includes improved revenue tracking accuracy, better cross-chain visibility, and a foundation for future multi-chain expansion. Key technologies include Kgen fee contracts, Aptos and Polygon integrations, and cross-chain data handling.
July 2025 performance summary for DefiLlama/dimension-adapters: Delivered KGeN Revenue Tracking Enhancements, consolidating revenue-related changes across KStore, service charges, swaps, staking, and Loyalty. Introduced Aptos native token revenue tracking, clarified revenue streams, refactored event fetching to handle fungible and native deposits, and optimized data retrieval using batch processing and timestamp caching to improve revenue calculations. This work lays groundwork for more accurate revenue analytics and faster calculations across adapters.
July 2025 performance summary for DefiLlama/dimension-adapters: Delivered KGeN Revenue Tracking Enhancements, consolidating revenue-related changes across KStore, service charges, swaps, staking, and Loyalty. Introduced Aptos native token revenue tracking, clarified revenue streams, refactored event fetching to handle fungible and native deposits, and optimized data retrieval using batch processing and timestamp caching to improve revenue calculations. This work lays groundwork for more accurate revenue analytics and faster calculations across adapters.
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