April 2026: Focused on enhancing token risk visibility in DefiLlama/defillama-app. Key delivery: Risk Timeline on the Token Details page, a chronological view of risk-related actions and events with source, directional impact on token, and reasoning to help users assess token risk profiles. This was delivered with a single commit (942122682331bc6a4c849880bbcdff404f89d86e) implementing the UI component and data wiring (#2831).

March 2026 performance highlights: Strengthened data accuracy, transparency, and reliability across DefiLlama's adapters and server stack. Delivered feature-rich fee data improvements, data normalization, performance and reliability enhancements, governance tooling, and strategic deprecations to reduce risk. Key outcomes include expanded fee-adapter breakdowns with new metrics and FeesChargedV2 data, revenue-distribution refinements, Dune query optimizations for ostium, pacifica rate-limit timeout increase for resilience, governance modules for treasury tracking, and onboarding improvements like Bitcoin address management. In parallel, legacy modules were deprecated to simplify maintenance, and data-availability improvements (normalized volumes for Nado/StandX, gate-perp removal on the server) improve user experience and analytics.

February 2026 (2026-02) highlights a broad expansion of revenue-attribution and analytics capabilities across DefiLlama's adapters and server components, delivering measurable business value through deeper protocol economics insights, improved data freshness, and higher data quality. Key features were delivered across dimension-adapters, defillama-server, and adapters, enabling comprehensive revenue/fees/bribes tracking and faster, more accurate analytics. Notable accomplishments include: - Revenue-tracking expansions across Hydrex, MetaDAO, Secondswap, LighterV2, LayerZero, Maple Finance, and Kgen, providing end-to-end visibility into fees, revenues, and breakdowns. - New metrics and data improvements: daily Active Liquidity metric, global fee fetching for transfer/withdrawal metrics, and cached route data for normalized volume (dal-lite), plus a TVL cache version upgrade to v0.10. - Performance and data-quality enhancements: refactored normalized volume fetching for efficiency, refactored fetch functions with updated minContracts for several protocols, and event-based Ithaca daily premium volume fetching for accuracy. - Protocol and chain coverage expansion: Maple fixed-term/open-term loans, LayerZero buyback revenue, MEGAETH chain configuration, Orynth contract migration on Solana, Open-Interest Pacifica (-oi) update, and added coverage for Lunar-finance adapter metrics. - Reliability and quality improvements: fixes to test adapters and SQL parsing, plus staking and revenue integrity improvements around referral-fee changes to supply-side revenue. - These efforts collectively improve decision-support data, enable more accurate revenue attribution, and accelerate analytics across multi-chain protocols.

January 2026 performance highlights: Expanded data coverage and revenue-tracking across three DefiLlama repos (dimension-adapters, defillama-server, defillama-app) with major features, normalization improvements, and reliability fixes. Delivered new revenue-tracking and volume-normalization capabilities, extended adapter surface, and improved data quality for dashboards and API consumers. Implemented cross-repo patterns that enhance maintainability and scalability of the data pipeline, while addressing key data quality bugs to ensure accurate business metrics.

Month: 2025-12 — Consolidated delivery across DefiLlama/dimension-adapters and DefiLlama/defillama-server with a strong emphasis on expanding coverage, improving data quality, and strengthening reliability. Key features delivered span cross-protocol tracking and builder tooling, while major fixes stabilized revenue calculations and data exposure. This month also included refactors that improve maintainability and performance, enabling faster onboarding of new adapters and more accurate business insights.

November 2025: Delivered multi-repo data platform enhancements across dimension-adapters, defillama-server, and adapters. Expanded cross-chain coverage, improved data integrity, and introduced new revenue-tracking metrics and tests. Achieved significant bug fixes, performance improvements, and architectural refinements to support scalable analytics and business decisions.

October 2025 delivered targeted business-value improvements across DefiLlama's dimension-adapters and defillama-server, focusing on data accuracy, reliability, and expanded protocol coverage. Key features include lotus-finance volume tracking and a Dune adapters dependencies flag to improve data integrity; expanded liquidity sources with Kyberswap on Plasma; Aborean adapters and Maestro/1delta enhancements to widen protocol coverage; and robust data refresh and quality controls across adapters. Critical bug fixes included virtual protocol query corrections and Solana disablement for very low volume, OI calculation fixes for Pacifica and Paradex, and fee calculation corrections after removing dispatcher logic. In parallel, defillama-server improvements added Salsadex derivatives volume, genuine spikes harmonization, and Gauntlet fee enablement, all contributing to more accurate metrics and revenue visibility. The combined impact: more trustworthy analytics, lower risk of data drift, faster onboarding of new chains, and improved confidence for business decisions.

September 2025 highlights: Expanded cross-protocol Open-Interest coverage, strengthened data quality, and modernized revenue attribution across DefiLlama repos. Major technical accomplishments include expanded Open-Interest adapters and protocol-specific enhancements for cross-protocol OI tracking (Aster Perps, Paradex, Curve, Aerodrome-slipstream) with a new adapter type, enabling broader analytics and revenue attribution. Implemented Polymarket backfill dune query updates to improve data timeliness and accuracy. Re-architected revenue and fees tracking with new adapters and migrations (RIP.FUN, Rabby perps builder fee, collector-crypt fees, phygitals fees with breakdown labels, EtherFi revenue tracking and token buybacks, Navigator buyback revenue, and fee/revenue adapter migration), delivering clearer attribution and partner value. Addressed critical data quality and integrity issues with HL holder revenue percentage fixes, OpenSea spike handling, and volume corrections (OpenSea aggregator). Additional improvements include the kelp refactor methodology, new Open-Interest adapters, Kalshi integration fixes, and Aerodrome pre-launch token bribe revenue.

August 2025 performance snapshot: Across DefiLlama’s dimension-adapters, defillama-server, and DefiLlama-Adapters, we expanded cross‑chain coverage, strengthened revenue tracking, and improved data reliability. The month delivered a wave of new adapters and features that unlock additional business value while tightening data quality and performance. Key features delivered: cross‑chain aggregators and new adapters expanding market coverage, improved fees handling, and builder code reliability. Major items include Kyberswap aggregator on Hyperliquid chain, Token Holder Revenue from AAVE Treasury, Opensea Bridge-aggregator and Aggregator, NordStream Dex Aggregator integration, EulerSwap chain support on BSC/Unichain, and StarkNet extension, complemented by new builder code adapters and HL/Fees refactor. Major reliability and data quality improvements: Across revenue zero and add missing chains; pfun transaction dedup and Dune query fixes; Houdini inflated volume corrections on Arbitrum; Solana lst stake accounts fix; EtherFi missing fees/revenue accounted for. We also advanced token coverage (TREE) and feature enablement in server, and expanded TVL adapter support in DefiLlama-Adapters. Business impact: broader chain coverage and richer revenue/fee analytics enable better decision-making for partnerships and product strategy, improved data integrity reduces risk of misinformed business decisions, and faster iteration cycles for new market datasets. Technologies/skills demonstrated: cross-repo collaboration, multi-chain adapter architecture, data quality controls, feature flag enablement and refactoring, and performance-oriented data pipelines for TVL and revenue metrics.

2025-07 Monthly Summary (DefiLlama Core): Focused on expanding revenue/fees telemetry, stabilizing data pipelines, and delivering multi-chain adapters. Shipments included new Fee/Revenue adapters and enhanced chain coverage, coupled with critical fixes that improved data accuracy and system stability. Business value delivered through better revenue attribution, open market insights, and a foundation for scalable monetization across ecosystems.

June 2025 monthly summary for DefiLlama platform data engineering and integrations. The month focused on expanding data coverage, improving data quality, and optimizing performance across dimension-adapters, DefiLlama-Adapters, and the server stack, delivering tangible business value for revenue tracking, data reliability, and partner integrations.

May 2025 focused on delivering high-impact features and reliability improvements across DefiLlama's adapters and server stack, with a clear emphasis on business value, data integrity, and revenue analytics. The month also advanced integration and governance-relevant metrics (Eden, Jito) while tightening asset/token handling and exposure controls.

April 2025 monthly summary: Delivered high-impact features across dimension-adapters and the central server, focused on expanding fee data coverage, improving data reliability, and boosting performance. Notable features include Lifi Fees integration and update to Sushi v3 optimism subgraph, Echo Fees, Sanctum Reserve fees adapter for Solana, Launchlab fees, and Prefetch Function Support in Adapter. Major bug fixes enhanced fee calculation accuracy and data reporting across multiple chains (Solana base/priority fee calc, Solar-dex wrong fee and volume, Jumper volume helper for LiFi, sanctum dune querysql fixes, Hyperliquid fee handling: remove 0 fee in Lido, Raydium Buyback: fix incorrect total dimensions). Additionally, data prefetching improvements and Windows compatibility work in the server layer improved throughput and reliability. Technologies demonstrated include TypeScript/JavaScript, GraphQL/Subgraphs, Dune querysql, data prefetch patterns, and Windows process management.