Voterax (Extending Zcash Privacy into Coordination, Governance & Rewards)

Hello Zcash community :waving_hand:

We’re excited to share our grant proposal for Voterax, a privacy-preserving coordination infrastructure designed to bring Zcash-level privacy guarantees into how decisions are made, contributions are evaluated, and rewards are distributed.

:backhand_index_pointing_right: Full application:

The Problem

Today’s coordination systems both Web2 and Web3 are fundamentally broken:

In Web3 governance:

  • Token-weighted voting = plutocracy
  • Whales dominate decisions
  • Contributors lose influence

In Web2 systems:

  • Decisions are opaque
  • Reputation is fragmented
  • Talent discovery is inefficient

The result:

:backhand_index_pointing_right: Low trust

:backhand_index_pointing_right: Low participation

:backhand_index_pointing_right: Misaligned incentives

What is Voterax?

Voterax is a privacy-preserving, reputation-powered coordination layer for fair decision-making and talent discovery across Web2 & Web3.

We combine:

  • Reputation (CP/RP systems) → influence earned through contribution
  • Zero-knowledge proofs → privacy for voting, identity, and rewards
  • Verifiable outcomes → trust without exposing sensitive data

Why Zcash?

Zcash pioneered private money.

We believe the next frontier is:

:backhand_index_pointing_right: Private coordination

Voterax extends Zcash’s philosophy into:

  • Private voting systems
  • Confidential contributor evaluation
  • Privacy-preserving reward distribution

Instead of exposing:

  • who voted
  • how they voted
  • how much they earned

We prove:

:check_mark: valid participation

:check_mark: fair outcomes

:check_mark: correct rewards

without revealing sensitive data.

What We’re Building

With support from Zcash, we will deliver:

1. Reputation-Based Coordination Engine

  • Contribution Points (CP)
  • Reputation Points (RP)
  • Eligibility-based participation

2. ZK-Powered Voting

  • Private voting
  • Proof of eligibility
  • Verifiable outcomes without identity exposure

3. Confidential Reward Distribution

  • Winners are determined transparently
  • Rewards are distributed privately
  • No public exposure of earnings or identities

4. Real-World Campaigns

Use cases include:

Hackathons

Grants

Bounties

DAO governance

Talent discovery pipelines

Why This Matters

We’re not just building a product.

We’re solving a fundamental gap:

Privacy exists for money but not for coordination.

Yet coordination determines:

  • who gets funded
  • who gets opportunities
  • who builds the future

Voterax ensures that:

:backhand_index_pointing_right: fairness is verifiable

:backhand_index_pointing_right: privacy is preserved

:backhand_index_pointing_right: contribution matters more than capital

Traction So Far

:white_check_mark: Full UI/UX system completed

:white_check_mark: Live prototype 80% ready

:white_check_mark: ZK-first architecture ongoing

:white_check_mark: Smart contract development will commence soon

:white_check_mark: Early conversations with DAOs & organizers

:white_check_mark: Business model validated (5% campaign fee)

:white_check_mark: Community growth significant

We are currently transitioning from idea ⇒prototype (80%)→ MVP → live campaigns

The Team

Voterax is built by a multidisciplinary team across product, engineering, and community growth, led by:

Dr. Damilola Oguntola (Founder & Project Lead)

Backed by The Mirror Hub, a growing community focused on:

Web3 education

ecosystem building

onboarding contributors across emerging markets

The rest of the team can be found here

We are not just building tech we are building usage and adoption from day one.

Ecosystem Value for Zcash

Voterax directly contributes to Zcash by:

  • Expanding ZK usage beyond payments

  • Introducing new demand for privacy infrastructure

  • Driving real-world applications of zk-SNARKs

  • Onboarding new users into privacy-first systems

This is how Zcash evolves from:

:backhand_index_pointing_right: private money → private digital society layer

We Want Your Feedback

We’re sharing this early because we want:

  1. Technical feedback on our ZK approach
  2. Thoughts on privacy in governance
  3. Input on potential integrations with Zcash tooling
  4. Ideas for pilot use cases within the ecosystem

Closing

We believe Voterax represents a natural extension of what Zcash started.

Not just protecting how we transact but also how we decide, collaborate, and allocate value.

We’d love your thoughts, critiques, and ideas

Let’s build this together.

Team Voterax (by The Mirror Hub)

Ongoing prototype

voterax.xyz

3 Likes

Separating voting weight from token holdings is the right instinct for Zcash governance. The CP/RP model sidesteps the whale dominance problem that plagues most token weighted voting.

Five milestones from June to October on $35K is tight. Which ZK proof system are you building on for the private ballot verification?

2 Likes

Thanks for this and fully agree, separating influence from capital is long overdue, especially in governance systems.

On the ZK side, we’re taking a modular approach rather than locking into a single proving system too early, but here’s how we’re currently thinking about it:

ZK Approach (Current Plan)

For private ballot verification, we plan to use zk-SNARK-based systems, aligned with the broader cryptographic direction pioneered by Zcash.

Specifically:

  • Proof Type: zk-SNARKs for succinct verification

  • Use Cases:
    Proof of eligibility (based on CP/RP thresholds)

  • Verifiable tallying without revealing individual votes

  • Private vote submission


System Design

We are separating the flow into 3 layers:

  1. Eligibility Proofs

    Users generate a proof that they meet participation criteria (e.g., reputation threshold) without revealing identity or exact scores.

  2. Private Voting

    Votes are committed privately and later verified via ZK proofs to ensure:

    • one valid vote per eligible participant

    • no double voting

    • no identity leakage

  3. Result Verification

    Aggregated results are proven correct without exposing individual inputs.


Tooling Direction

We are currently evaluating:

  • Circuits: Circom for custom circuit design

  • Proving systems: Groth16 initially (due to efficiency), with flexibility to evolve

  • Potential exploration of PLONK-style systems depending on scalability and dev overhead


Why This Approach

Given our current stage (prototype → MVP), the priority is:

  • Fast iteration

  • Low verification costs

  • Compatibility with existing ZK tooling

Rather than over-engineering early, we’re designing the system to be upgradeable at the proving layer as usage scales.


On Timeline

You’re right May to October is tight.

We’ve structured milestones to:

  • Ship a working MVP early

  • Introduce ZK components incrementally (not all at once)

  • Validate with real campaigns before full optimization

So the goal isn’t “perfect ZK from day one”

it’s:
usable system → validated → progressively hardened


Happy to go deeper here, especially if there are specific Zcash-native primitives or tooling you think we should be aligning with early.

1 Like