Job Identity & Tokenized Recruitment DApp on Midnight

[Proposal setup] Proposal title

Please provide your proposal title

Job Identity & Tokenized Recruitment DApp on Midnight

[Proposal Summary] Time

Please specify how many months you expect your project to last

3

[Proposal Summary] Translation Information

Please indicate if your proposal has been auto-translated

No

Original Language

en

[Proposal Summary] Problem Statement

What is the problem you want to solve?

Job hunting and hiring force people to send CVs, IDs and private history to many sites, and developers lack a clear, privacy-first example of how to handle this on-chain.

[Proposal Summary] Supporting Documentation

Supporting links

• https://x.com/IvanJRomeroS
,
• https://x.com/AnGPT_pe
,
• https://x.com/SenseEarn
,
• https://www.senseearn.com/

[Proposal Summary] Project Dependencies

Does your project have any dependencies on other organizations, technical or otherwise?

No

Describe any dependencies or write 'No dependencies'

No dependencies

[Proposal Summary] Project Open Source

Will your project's outputs be fully open source?

Yes

Please provide here more information on the open source status of your project outputs

All code produced must be under a permissive open-source license (MIT or Apache-2.0) and source available from day one.

[Theme Selection] Theme

Please choose the most relevant theme and tag related to the outcomes of your proposal

Business Services

[Campaign Category] Category Questions

What is useful about your DApp within one of the specified industry or enterprise verticals?

Hiring touches almost everyone, and it routinely handles extremely sensitive data: full work history, education, location, contact details, sometimes health or background checks. Today this information is spread across many job boards, email inboxes and tracking systems.

Our DApp shows how Midnight can support privacy-friendly recruitment:

• Employers define what they are looking for.
• Candidates prove they meet the requirements without exposing all their personal details.
• Both sides stay anonymous until there is a strong reason to reveal who they are.

This is particularly relevant for:

• Governance and compliance: hiring often involves strict rules, fairness, and audits. Midnight can help ensure that the process is transparent in terms of rules, while personal data stays protected.
• AI and data use: many companies want to use AI for talent matching, but do not want or cannot store full CVs for everyone. Our reference DApp shows how match results can be used instead of raw data.

It is a working example on the Midnight test network that demonstrates what is possible and gives other teams something concrete to build on.

What exactly will you build? List the Compact contract(s) and key functions/proofs, the demo UI flow, Lace (Midnight) wallet integration, and your basic test plan.

We will build a reference recruitment DApp using three-module approach on Midnight testnet.

a) Identity Module

• Each participant (employer, candidate, possibly recruiter) is represented as a certificate with private information.
• We will decide between: DID / VC-based identity tied into Lace, or a custom certificate system for the PoC.
• The decision depends on the status of Lace and Midnight’s roadmap when we implement the module.

b) Tokenization Module

• Job postings are represented as tokens (NFTs) on Midnight testnet.
• Some job information is public (title, region, high-level description).
• Other details are private (for example, stricter conditions or internal employer notes).

c) DeFi / Platform Logic Module

• This module defines how candidates and jobs interact.
• It ensures that private details stay private during matching.
• It provides simple, rule-based logic for deciding when candidates appear “qualified” for a job, without revealing all of their personal data.

Development structure (3 stages)

1. Smart contracts and unit testing

• Implement the main logic of the three modules in Midnight’s smart contract environment.
• Create unit tests to check the key behaviours for posting jobs, representing participants and basic qualification.

1. Contract APIs, providers and TUI with integration tests

• Build an API layer to talk to the contracts via node/indexer/proof server.
• Develop a text-based interface so that employers and candidates can simulate the whole process in the terminal.
• Create integration tests to validate full flows.

1. Web UI (React), wallet integration and UX

• Build a small, clear React interface.
• Integrate a browser wallet (Lace on Midnight testnet).
• Provide basic employer and candidate screens to demonstrate the main ideas, not a full ATS product.

How will other developers learn from and reuse your repo? Describe repo structure, README contents, docs/tutorials, test instructions, and extension points. Which developer personas benefit, and how will you gauge impact (forks, stars, issues, remixes)?

This DApp is aimed at builders who want to explore:

• Private recruitment and HR.

• Private governance roles in DAOs or organizations.

• Any kind of role-based matching where privacy is important.

Developers will find:

• A well-structured repository (contracts, APIs, TUI, web UI, docs).

• A clear README explaining: The story behind the DApp in simple words, how to run everything locally against Midnight testnet, and the idea behind the three modules.

• Comments and small guides explaining where to plug in: Different identity systems, more complex job rules, and additional views or analytics dashboards.

As with the real-estate project, impact will be measured by:

• Forks and stars.

• Issues and contributions.

• References in later proposals and talks as “the recruitment reference DApp on Midnight”.

[Your Project and Solution] Solution

Please describe your proposed solution and how it addresses the problem

The current hiring world asks candidates to leak their life story to dozens of places. Our solution shows a different approach, using Midnight as the privacy layer:

• Employers express their needs in a structured way (what kind of candidate they are looking for).
• Candidates share proof that they meet those needs rather than sharing everything about themselves.
• Both sides only share identities and contact details once there is a mutual decision to move forward.

Instead of hiding all the technical workings in complex diagrams, we keep the story simple and human: “jobs”, “candidates”, “private matching”, “opt-in reveal”. Under the hood, we apply three modules (identity, tokenization, platform logic) and three dev stages. This makes it easy for non-technical voters to follow and gives enough room for technical refinement during implementation.

[Your Project and Solution] Impact

Please define the positive impact your project will have on Midnight ecosystem

This project gives Midnight:

a) A reference DApp for private recruitment that many industries can relate to.

b) A concrete pattern for:

• Representing jobs and people with a mix of public and private info.

• Running fair matching.

• Handling identity reveal in a careful way.

c) A starting point for more advanced systems:

• Recruitment platforms.

• Role assignment in DAOs.

• Private membership checks.

• AI-based matchers that rely on privacy-preserving labels rather than raw CVs.

It helps anchor Midnight’s value in a very familiar context: getting a job and hiring the right people without giving away more information than necessary.

[Your Project and Solution] Capabilities & Feasibility

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?

Our team combines technical delivery and financial discipline.

Iván Romero – Project Lead & Technical Architect

PhD in Science (Germany), Master’s in Renewable Energy (Sweden) and Electronic Engineering (Peru). Iván has experience building full-stack web platforms and IoT systems, and has worked with modern web tools, authentication systems and blockchain integrations.

For this project he will:

• Lead design and implementation of smart contracts and tests.
• Build and integrate the APIs, TUI and React web interface.
• Implement wallet integration on Midnight testnet and maintain code quality.

Angelica Rojas – Finance & Operations

MBA (Germany) and Accountant (Peru) with experience in treasury management, financial control and reporting. Angelica ensures that:

• Ensure the liquidity of the project by allocating the necessary resources to each milestone and monitoring their efficient use.
• Financial reports to Catalyst and the Midnight Foundation at any time when required or at the end of each milestone.

The team has previously delivered the SenseEarn pilot (www.senseearn.com) and built up a small community around it, proving we can ship working software and communicate progress.

To validate feasibility and maintain trust:

• We will provide GitHub and X profiles in the final proposal so reviewers can verify our history.
• All core work will be done directly by us, not outsourced.
• The repo will be public from the beginning, with a permissive license.
• We will start by validating a minimal flow on the Midnight test network, then gradually layer on functionality.
• We will share regular updates (code tags, short videos, written summaries) so progress is visible.

[Final Pitch] Budget & Costs

Please provide a cost breakdown of the proposed work and resources

Total requested: 10,000 USDM for 3 months.

• Milestone 1 (Month 1): 3,000 USDM

• Milestone 2 (Month 2): 3,500 USDM

• Milestone 3 (Month 3): 3,500 USDM

The budget covers:

• Smart contract design and implementation.

• API layer, TUI and integration tests.

• Web UI development, wallet integration and documentation.

There are no marketing or outsourcing costs; it is purely for building and documenting the reference DApp.

[Final Pitch] Value for Money

How does the cost of the project represent value for the Midnight ecosystem?

The recruitment DApp delivers:

• A relatable, easy-to-explain example of privacy-preserving hiring.

• A flexible pattern that can be reused by many different projects needing private matching of people to roles.

• A complete, open-source reference on Midnight testnet for only 10,000 USDM.

It reduces the barrier for future teams who want to build HR, governance or credential-based applications. They get a working starting point instead of a blank page, which is a good trade-off for the requested budget.

[Self-Assessment] Self-Assessment Checklist

I confirm that the proposal clearly provides a basic prototype reference application for one of the areas of interest.

Yes

I confirm that the proposal clearly defines which part of the developer journey it improves and how it makes building on Midnight easier and more productive.

Yes

I confirm that the proposal explicitly states the chosen permissive open-source license (e.g., MIT, Apache 2.0) and commits to a public code repository.

Yes

I confirm that the team provides evidence of their technical ability and experience in creating developer tools or high-quality technical content (e.g., GitHub, portfolio).

Yes

I confirm that a plan for creating and maintaining clear, comprehensive documentation is a core part of the proposal's scope.

Yes

I confirm that the budget and timeline (3 months) are realistic for delivering the proposed tool or resource.

Yes

[Required Acknowledgements] Consent & Confirmation

I Agree

Yes