This proposal aims to develop a modular, scalable, and privacy-aware reputation system to improve Deep Funding’s voting process by shifting the focus from monetary investments to contributions and engagement. The goal is to create a fairer decision-making mechanism where users are rewarded for active participation, expertise, and valuable contributions, rather than solely for financial backing. Our approach is to use a microservices-based architecture that allows for independent data collection, reputation scoring, and analytics. The system will include an initial suite of microservices and a user-friendly interface that enables voters to configure how reputation scores are calculated.
The goal of this project is to develop functionality that will enable modular microservices that support data collection, scoring, and analytics functions as part of a reputation and voting weight system. This should include an architecture to allow for the integration of future microservices, an initial suite of key microservices, and a user interface that allows users to find and utilize various configurations of the microservices.
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The foundation of the project will be built, mapping out how everything fits together. This includes designing a system that allows new features to be added easily and ensuring different parts can communicate smoothly.
- A clear blueprint of how the system works - Guidelines for how microservices will connect - A structured plan for data storage and security
$20,000 USD
- The architecture is well-documented and approved - APIs are clearly defined and ready for development
The essential services that track user engagement, proposals, voting history, and blockchain data will be developed. These will be the building blocks of the reputation scoring system.
- Functional tools to track proposals, votes, and blockchain activity - A scoring system that calculates reputation based on real data - A set of APIs that allow other tools to pull reputation scores
$30,000 USD
- The microservices work independently and interact correctly - Reputation scores can be calculated and tested with sample data
A user-friendly dashboard will be created, where people can customize how reputation scores are calculated. This will allow users to pick and adjust different scoring factors.
- A fully designed and interactive dashboard - Tools for selecting and adjusting scoring settings - A search function to find and apply different microservices
$25,000 USD
- Users can interact with the system and make real adjustments - The interface is clear, functional, and visually appealing
The system will be secured to protect user data, with a framework set up to add Zero-Knowledge Proof (ZKP) privacy features in the future.
- User consent management system. - Security audit and penetration testing report - Documentation for ZKP integration framework
$20,000 USD
- Secure reputation scoring with user-controlled data sharing. - System passes security audits with no critical vulnerabilities.
The system will go through thorough testing to find and fix bugs, improve performance, and refine the user experience based on feedback.
- Beta version of the platform. - Performance and stress test reports. - Bug fixes and improvements based on user feedback.
$20,000 USD
- System operates smoothly with no major bugs or performance issues. - User feedback is incorporated into refinements.
The platform will go live, with clear documentation provided to ensure smooth adoption. A portion of the budget is reserved for future support and maintenance.
- A fully deployed reputation system, ready for real-world use - Easy-to-follow documentation for users and developers - A plan for long-term support and future updates
$25,000 USD
- The system is live and accessible - Documentation is complete and easy to follow
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