Vasco Santos
Project OwnerSoftware Engineer previously part of IPFS and libp2p core teams, as well as web3.storage project. Currently interested in decentralizing badbits, ZPs, privacy and Did. Will form a team :)
Develop a modular reputation system to assign voting weights based on contributions and trustworthiness, strengthening the BadBits claims network (https://hackmd.io/@vasco-santos/Sy2Pv9V9kg). It aligns with DeepFunding’s objectives by fostering decentralized governance, trust, and fairness in decision-making. Key features include a microservices architecture, decentralized identity verification, scoring algorithms, analytics, and a configurable UI. Privacy is ensured via ZKPs and data anonymization, preventing Sybil attacks and enabling transparent, scalable participation. Full proposal: https://hackmd.io/@vasco-santos/rJmrjZQjJe
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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Define the architecture for the reputation system, including modular microservices, data collection, scoring algorithms, and privacy mechanisms. Conduct research on existing reputation models, decentralized identity standards (DIDs), and Zero-Knowledge Proof (ZKP) implementations.
- System architecture documentation outlining service components and data flow. - Initial design of the scoring algorithm and voting weight model. - Research report on privacy-preserving reputation systems (ZKPs & anonymization).
$35,000 USD
- Clear, modular architecture that allows for scalable and flexible reputation scoring. - Defined methodology for trust scoring and voting weight calculations. - Feasibility analysis of ZKP-based privacy measures.
Implement the core reputation engine that aggregates user contributions, computes trust scores, and assigns voting weights. Develop the initial scoring algorithm based on contribution history, trust signals, and cryptographic verification.
- API for submitting, retrieving, and verifying reputation scores. - Implementation of the first version of the reputation scoring algorithm. - Integration with the BadBits claims network for real-world testing.
$35,000 USD
- Functioning reputation scoring system with API access. - Ability to compute trust scores based on predefined rules. - Verified integration with BadBits, showing its impact on decision-making.
Develop and integrate Zero-Knowledge Proof-based identity verification and data anonymization techniques to enhance privacy and prevent Sybil attacks. Ensure that participants can prove their contributions and reputation without exposing sensitive details.
- Implementation of ZKP-based proof of trustworthiness. - Anonymization layer for identity data in reputation calculations. - Testing and validation of privacy-preserving reputation computations.
$35,000 USD
- Users can provide cryptographic proofs of their reputation without revealing identities. - System prevents multiple fake identities (Sybil attacks) while maintaining fairness. - Seamless integration with the reputation scoring system.
Develop a frontend dashboard and governance mechanisms for configuring reputation rules, viewing trust scores, and auditing voting weight calculations. Create an adoption guide and outreach plan for integrating the system into other decentralized applications.
- UI for configuring reputation parameters and monitoring trust scores. - Governance model outlining participation rules and decision-making processes. - Adoption strategy document for onboarding partners and ecosystem integration.
$35,000 USD
- Fully functional UI with real-time reputation monitoring. - Governance framework that enables fair participation and transparency. - Interest from at least one external decentralized project in testing or adopting the system.
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