Last updated 7 months ago
Most ADA holders struggle to choose DReps due to lack of clarity, accessible tools, and value alignment data. Active ADA participation remains low, and DRep voting power concentration is raising
drep.space will be a governance matching tool that helps ADA holders delegate based on shared values with DReps. Through a Vision Quiz, the platform aims to simplify governance & DRep discoverability
This is the total amount allocated to drep.space – MVP Validation of Governance Matching Tool.
Please provide your proposal title
drep.space – MVP Validation of Governance Matching Tool
Enter the amount of funding you are requesting in ADA
47500
Please specify how many months you expect your project to last
6
Please indicate if your proposal has been auto-translated
No
Original Language
en
What is the problem you want to solve?
Most ADA holders struggle to choose DReps due to lack of clarity, accessible tools, and value alignment data. Active ADA participation remains low, and DRep voting power concentration is raising
Supporting links
Does your project have any dependencies on other organizations, technical or otherwise?
No
Describe any dependencies or write 'No dependencies'
No dependencies
Will your project's outputs be fully open source?
Yes
License and Additional Information
All codebase and validation reports outputs will be publicly shared and open-sourced
Please choose the most relevant theme and tag related to the outcomes of your proposal.
Governance
Describe what makes your idea innovative compared to what has been previously funded (whether by you or others).
drep.space is the first governance onboarding tool designed to match ADA holders with DReps based on values and alignment, not just visibility or reputation. Unlike generic directories or static lists, the MVP uses an interactive Cardano Vision Quiz, a side-by-side DRep comparison view, and transparent behavioral metrics. This approach gamifies governance, decentralizes attention away from a few “popular” DReps, and introduces reusable open-source matching logic that can power future Cardano governance apps.
Describe what your prototype or MVP will demonstrate, and where it can be accessed.
The MVP will demonstrate a live governance matching experience:
It will be accessible via https://drep.space (open web app. current website is a PoC), with all code and validation reports available on a public GitHub repository.
Describe realistic measures of success, ideally with on-chain metrics.
Primary measures of success:
While delegation itself happens on-chain outside the MVP, success can be partly measured by tracking referrals to delegation endpoints and, in future iterations, direct integration with delegation smart contracts.
Please describe your proposed solution and how it addresses the problem
Many ADA holders want to participate in governance but do not know which DRep to choose. Information is fragmented, value alignment is unclear, and visibility tends to concentrate on a few well known DReps. The net effect is low confidence, lower participation, and a rising risk of DRep power concentration.
drep.space is a values based governance onboarding tool that helps ADA holders discover and compare DReps in minutes. The MVP delivers a short Cardano Vision Quiz, a transparent matching engine, a side by side DRep comparison in the results, and an open directory of DRep profiles with search and filters. The goal is to reduce choice friction, surface alignment rather than popularity, and give delegators a clear path to act.
Design principles
User journey
What the MVP contains
Please define the positive impact your project will have on the wider Cardano community
drep.space will directly strengthen Cardano’s governance by lowering the barriers for ADA holders to delegate meaningfully. The platform increases voter participation by providing a simple, values-based onboarding flow, reducing reliance on popularity or brand recognition. By offering a transparent quiz, comparison view, and open DRep directory, it decentralizes visibility and gives emerging representatives a fairer chance to attract delegations.
All outputs will be open source, enabling other governance tools to integrate the matching logic.
In the short term, this improves trust, clarity, and distribution of voting power.
In the long term, it lays the foundation for more advanced features such as notifications, delegation flows, and Q&A forums, positioning drep.space as a sustainable hub for DReps and delegators.
What is your capability to deliver your project with high levels of trust and accountability? How do you intend to validate if your approach is feasible?
Team capability & track record
AI Players combines governance-aware product thinking, UX design, and proven engineering. We’ve shipped production automations and user-facing products for organizations including Pulso.health, Bookster.ai (1.2M installs), N&N Lubricentro, and La Guardería, giving us the discipline to deliver auditable, privacy-respecting services. The MVP will be led by AI Players (getaiplayers.com) with a lean core team (product/UX + engineering) and a Cardano development partner (to be confirmed) for an external review of API/registry integrations and future Voltaire alignment.
How we ensure trust & accountability
Transparency by default: All code, quiz design, matching logic, weights, and test cases will be published in a public GitHub repo with an open license, CHANGELOG, and issue tracker. The Cardano Vision Quiz v1 and the matching algorithm spec will include rationale and example I/O so the community can reproduce results.
Fairness & neutrality: Matches are driven by values/stance signals—not popularity. The UI shows why a match was suggested (explainability notes), rotates visibility to reduce “rich-get-richer” effects, and provides a DRep appeal/update path.
Data minimization & privacy: The MVP does not require wallet connection. We collect only consented, minimal data; analytics are anonymized; retention is time-boxed; and users can request deletion.
Ecosystem alignment: We will index 100+ DRep profiles where available, invite DReps to verify/update stances, and publish a clear policy for profile sourcing, edits, and conflicts of interest.
Operational reliability: CI checks, automated tests for matching edge cases, and runbooks for incident response. Public uptime/health page during the open pilot.
Feasibility & validation plan
M1 – Quiz & Matching (Month 1): Ship quiz engine v1, matching logic v1, and public DRep submission form. Publish specs, weights, and tests in GitHub.
M2 – Closed Cohort (by Month 3): Run a structured test with governance contributors and delegators; collect surveys, triage issues by severity, and prioritize fixes.
M3 – Open Pilot & Awareness (by Month 4): Launch the public MVP at drep.space with quiz → results → comparison → directory. Target 300–600 quiz completions and 30%+ feedback response rate; reach 100+ verified DRep profiles.
M4 – Validation & Close-out (by Month 6): Publish Validation Report v1 (methods, behavior insights, limitations), a live metrics dashboard (visits, starts, completions, comparisons, outbound delegation clicks) plus an archived PDF snapshot, and a short YouTube summary video per Catalyst guidelines.
Key risks & mitigations
Low DRep participation: Proactive outreach + self-service submission/verification; clear profile policy; fallbacks from public statements when consented.
Popularity bias/gaming: Visibility rotation, capped exposure for top profiles, logged changes, and public matching rules.
Data drift/accuracy: Versioned profiles, dated stances, and a routine refresh cadence; community PRs with review.
Scope creep: Strict MVP: quiz, matching, comparison, directory, feedback, and reporting only; change control documented in the roadmap.
Bottom line: We will deliver a working, explainable values-based DRep matching MVP, with open code, public metrics, and a transparent validation report, so the community can inspect, reproduce, and iterate on the approach.
Milestone Title
Quiz Engine and Matching Logic
Milestone Outputs
Acceptance Criteria
Evidence of Completion
Delivery Month
1
Cost
12500
Progress
20 %
Milestone Title
Closed Cohort Test and Feedback
Milestone Outputs
Acceptance Criteria
Evidence of Completion
Delivery Month
3
Cost
12500
Milestone Title
Open Pilot Launch and Awareness Campaign
Milestone Outputs
Acceptance Criteria
Evidence of Completion
Delivery Month
4
Cost
12500
Progress
70 %
Milestone Title
Working MVP Launch, Valdiation Conclusion Report, and Close-Out
Milestone Outputs
Acceptance Criteria
Evidence of Completion
Delivery Month
6
Cost
10000
Progress
100 %
Please provide a cost breakdown of the proposed work and resources
We request 47,500 ADA for the delivery of the drep.space MVP launch. The budget is distributed across the main workstreams required to design, build, validate, and report on the project.
Product & UX Design – 7,000 ADA
Engineering & Development – 12,000 ADA
Cardano-Specific Integration – 9,000 ADA
Infrastructure & Tools – 4,500 ADA
Testing & Validation – 4,000 ADA
Community Engagement & Awareness – 4,000 ADA
Reporting & Close-Out – 2,000 ADA
Buffer & Contingency - 5,000 ADA
Total: 47,500 ADA
How does the cost of the project represent value for the Cardano ecosystem?
This proposal delivers a fully functional MVP, public validation data, and open-source governance tooling at a lean cost of 47,500 ADA. The budget directly funds tangible outputs: quiz engine, matching algorithm, submission form, Cardano integration, closed and open testing cohorts, infrastructure, awareness campaign, and final reporting.
Compared to typical Catalyst-funded dApps or governance platforms, this budget is modest. It avoids overhead and focuses on high-leverage activities: enabling ADA holders to delegate based on values, giving visibility to smaller DReps, and producing reusable components that other DApps can adopt.
If funded, this proposal will deliver a working MVP for an innovative new solution to improve DRep voting power distribution, reduce power concentration, and ultimately strengthen Cardano's governance decentralization.
Terms and Conditions:
Yes
Project Team
Julian Di Iulio – Project Lead, Get AI Players
Founder and operator of AI Players with experience coordinating cross-functional teams and delivering production-grade AI automation solutions. Responsible for project strategy, overall coordination, stakeholder communication, and quality assurance across all deliverables.
Tomas Garro – Cardano Specialist
Governance Lead. Ensures the platform aligns with ecosystem needs. Manages community engagement, DRep onboarding, and feedback collection.
Fabian Camargo – Senior Full-Stack & Automation Engineer
Senior developer with extensive experience in Java, React, Spring, and microservices, with a track record at companies such as Globant. Specialist in building and integrating automated flows with n8n, GPT, TTS, and rendering tools (Veo3/Synthesia). Ensures the reliability, scalability, and optimization of API integrations and critical processes.
Daniel Méndez – Backend & Production Support Specialist
Java developer and production support specialist with experience in high-demand enterprise environments (Apple, TCS). Expert in monitoring (Splunk), test automation (Selenium), incident response, and runbook creation. Ensures continuous system operation and rapid issue resolution.
Cardano Development Firm (Partner, TBD)
Blockchain Integration. Provides expertise on Cardano APIs, governance data, and technical integration to guarantee the platform runs smoothly and is future-proof for Voltaire features.