DefiLlama/DefiLlama-Adapters
Dec 2025 – Jan 2026
2 Months active
Languages Used
JavaScript
Technical Skills
DeFiJavaScriptbackend developmentblockchain development
dashboardsdata
PROFILE
Dashboardsdata
During a two-month period, Dune Datadash enhanced DefiLlama’s dimension-adapters and DefiLlama-Adapters repositories by delivering four features focused on cross-network analytics and financial metric accuracy. He improved trading volume and fee calculations for o1.exchange by restructuring SQL queries to aggregate data from Base and Solana, enabling more reliable analytics. In DefiLlama-Adapters, he refined TVL calculations for BSC and Privacy Cash by updating token lists and incorporating additional yield-bearing contracts, which increased reporting accuracy. Working primarily with JavaScript, TypeScript, and SQL, Dune Datadash’s contributions strengthened data pipelines and improved the reliability of dashboards for business and product teams.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
4
Lines of code
128
Activity Months2
Your Network
1051 people
Work History
January 2026
2 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary: Delivered high-impact financial enhancements across two DefiLlama adapters, improving visibility into trading activity and TVL calculations. The work encompassed a new o1-exchange volume calculation in dimension-adapters and an updated Yield Bearing TVL calculation in DefiLlama-Adapters, enhancing metric accuracy and supporting better business decisions for partners and product teams. These changes strengthen data quality, reporting reliability, and revenue-related insights while maintaining a lightweight, maintainable codebase.
2 Commits • 2 Features
Jan 1, 2026January 2026 monthly summary: Delivered high-impact financial enhancements across two DefiLlama adapters, improving visibility into trading activity and TVL calculations. The work encompassed a new o1-exchange volume calculation in dimension-adapters and an updated Yield Bearing TVL calculation in DefiLlama-Adapters, enhancing metric accuracy and supporting better business decisions for partners and product teams. These changes strengthen data quality, reporting reliability, and revenue-related insights while maintaining a lightweight, maintainable codebase.
January 2026
December 2025
3 Commits • 2 Features
Dec 1, 2025December 2025: Key features delivered and major fixes across two DefiLlama repositories, delivering improved cross-network analytics, accurate TVL reporting, and enhanced data pipelines. These changes improve user insights, transparency of financial metrics, and data reliability for dashboards and decision making.
December 2025
3 Commits • 2 Features
Dec 1, 2025December 2025: Key features delivered and major fixes across two DefiLlama repositories, delivering improved cross-network analytics, accurate TVL reporting, and enhanced data pipelines. These changes improve user insights, transparency of financial metrics, and data reliability for dashboards and decision making.
Activity
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Quality Metrics
Correctness92.0%
Maintainability84.0%
Architecture84.0%
Performance84.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScriptTypeScript
Technical Skills
API developmentAPI integrationDeFiJavaScriptSQLTypeScriptbackend developmentblockchain developmentdata aggregation
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
DefiLlama/dimension-adapters
Dec 2025 – Jan 2026
2 Months active
Languages Used
TypeScript
Technical Skills
API integrationSQLbackend developmentdata aggregationAPI developmentTypeScript