Summary
Hello, I’m a blockchain developer with a passion for building tools that empower DeFi users with clearer insights. I am proposing a Comprehensive Historical Analytics Dashboard for Orca’s liquidity pools. This solution will enable users to dive into detailed historical data—beyond the summarized 7-day, monthly, and yearly yield estimates—providing more transparent insights and helping liquidity providers make more informed decisions that ultimately benefit the Orca ecosystem.
Motivation
The current yield estimates on Orca, while useful, only offer a high-level snapshot that masks the underlying day-to-day volatility and trends. This approach can be misleading, as users don’t get to see the detailed performance history or the transient events that affect pool stability. By addressing this limitation, we can enhance decision-making, improve risk management, and foster greater trust and engagement within the Orca community.
Description
I propose to develop an interactive dashboard that aggregates historical performance metrics directly from Orca’s APIs and Solana’s on-chain data. Key features include:
- Multi-Timeframe Historical Data:
Display detailed yield data on daily, hourly, and even intra-day intervals. This will complement the existing 7-day, month, and year estimates by offering a granular view of liquidity performance trends. - Component Breakdown:
Decompose overall yield into critical components such as APR, TVL, fee generation, and transaction volumes, making it easier to identify the drivers behind performance fluctuations. - Interactive Visualizations:
Utilize dynamic visualization libraries (e.g., D3.js, Chart.js) to create charts and graphs that users can interact with—such as zooming into specific periods or comparing different pools—ensuring an intuitive and engaging experience. - Predictive Analytics and Risk Assessment:
Integrate machine learning models to forecast future trends and potential volatility. This addition can help users anticipate changes, better manage risks, and enhance the overall decision-making process. - Developer API and Community Plugins:
Develop a dedicated API layer for easy data access, enabling developers to build custom plugins and integrations. This will nurture a collaborative ecosystem, encouraging third-party contributions and continuous innovation. - Scalability and Real-Time Updates:
Implement efficient data aggregation and caching strategies to ensure that the dashboard remains responsive even as data volumes grow, thereby supporting long-term scalability.
The project will be rolled out in phases, starting with a beta version to collect early user feedback and refine features before a full public release.
Compensation
I am requesting a total grant of $15,000 for the development of the Historical Analytics Dashboard, structured into milestone-based payments to ensure clear accountability and transparency. The funding will be released as each milestone is successfully met, based on community feedback and documented deliverables:
- Milestone 1: Planning & Architecture (Duration: 2 weeks) – $3,000
Deliverables:- Detailed project plan including technical architecture and system design.
- Wireframes and data model prototypes.
- A comprehensive roadmap that outlines the development stages and performance metrics for success.
- Milestone 2: MVP Development – Data Aggregation & Basic Visualization (Duration: 4 weeks) – $5,000
Deliverables:- Implementation of API integrations with Orca and Solana for real-time and historical data retrieval.
- A functional MVP dashboard that displays key historical metrics (such as yield, APR, TVL, and fee generation) over chosen timeframes with basic interactive visualizations.
- Initial documentation and unit tests for core components.
- Milestone 3: Enhanced Features & Predictive Analytics (Duration: 4 weeks) – $4,000
Deliverables:- Development of interactive visualizations with enhanced user controls (e.g., zooming, filtering, comparison across pools).
- Integration of a predictive analytics module that forecasts trends and assesses risk based on historical performance.
- Refinement of data aggregation methods to ensure scalability and performance.
- Milestone 4: Beta Testing, Feedback Integration, & Final Adjustments (Duration: 2 weeks) – $3,000
Deliverables:- Launch of a public beta version of the dashboard.
- Collection and analysis of user feedback, followed by necessary adjustments and debugging.
- Final documentation, a deployment guide, and a proposed post-launch support plan.
This phased approach ensures that funding is released based on tangible progress and measurable deliverables. It provides transparency and minimizes risk, ensuring that each stage of the project is validated before moving on to the next, ultimately delivering a high-quality tool that benefits the Orca ecosystem.
Conclusion
This proposal aims to transform how Orca users interact with liquidity pool performance data by offering a transparent, detailed, and interactive historical analytics dashboard. By bridging the gap between short-term estimates and long-term historical insights, we empower users with the data they need to make informed decisions, ultimately strengthening the Orca protocol and its ecosystem.
I look forward to community feedback and the opportunity to contribute to Orca’s innovative future.