
Developed two foundational features for the Neverland ecosystem, focusing on backend enhancements and DeFi protocol integration. Delivered a fees and revenue module within the DefiLlama/dimension-adapters repository, enabling calculation and distribution of interest and liquidation fees for veDUST holders. Introduced a protocol adapter in DefiLlama-Adapters to track total value locked, borrowing activity, and governance token staking, drawing on an Aave V3-inspired architecture for scalability and consistency. Emphasized data quality and reliability throughout, leveraging TypeScript and JavaScript for implementation. The work established a robust adapter-based framework, improving revenue modeling, risk visibility, and supporting future governance and revenue-sharing features.
Monthly Summary - 2025-11: Delivered two core features across the Neverland ecosystem, establishing revenue modeling, TVL/borrowing tracking, and governance token staking capabilities. These changes enable clearer revenue distribution for veDUST, improve risk visibility, and create a scalable, adapter-based architecture for future expansions. No major bugs fixed this month; focus was on feature delivery, reliability, and data quality. Technologies demonstrated include TypeScript, adapter-oriented architecture, protocol integration, and data modeling. Commits included: e935f7ad1a1277897a2279859631da275605a284; 660a52d9690e91dd9f7e2bb10fbdcb7a961dafe8.
Monthly Summary - 2025-11: Delivered two core features across the Neverland ecosystem, establishing revenue modeling, TVL/borrowing tracking, and governance token staking capabilities. These changes enable clearer revenue distribution for veDUST, improve risk visibility, and create a scalable, adapter-based architecture for future expansions. No major bugs fixed this month; focus was on feature delivery, reliability, and data quality. Technologies demonstrated include TypeScript, adapter-oriented architecture, protocol integration, and data modeling. Commits included: e935f7ad1a1277897a2279859631da275605a284; 660a52d9690e91dd9f7e2bb10fbdcb7a961dafe8.

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