
Worked on the DefiLlama/dimension-adapters repository to enhance the coverage of GMGN fee accounts data by expanding the set of addresses included in fee analytics queries. Leveraging SQL and TypeScript, adjusted the backend logic to use an IN clause for addresses and a NOT IN clause for trader_id, incorporating nine additional addresses to improve data completeness. This targeted update enabled more comprehensive retrieval and processing of fee account information, supporting accurate revenue reporting and partner insights. The change was delivered through a focused commit with clear documentation, reflecting a methodical approach to backend development and database management within the project.
October 2025 (2025-10) — In DefiLlama/dimension-adapters, delivered a targeted feature enhancement to broaden GMGN fee accounts data coverage. By adjusting the query to use an IN clause for addresses and NOT IN for trader_id, and adding nine new addresses, the team expanded the scope of fee account data fetched and processed. This tightens data completeness for fee analytics and supports more accurate revenue reporting and partner insights. The change was implemented via a focused commit and aligns with ongoing improvements to data dimensionality and reliability.
October 2025 (2025-10) — In DefiLlama/dimension-adapters, delivered a targeted feature enhancement to broaden GMGN fee accounts data coverage. By adjusting the query to use an IN clause for addresses and NOT IN for trader_id, and adding nine new addresses, the team expanded the scope of fee account data fetched and processed. This tightens data completeness for fee analytics and supports more accurate revenue reporting and partner insights. The change was implemented via a focused commit and aligns with ongoing improvements to data dimensionality and reliability.

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