Agent.Recruit

Consensus-native talent accelerator

Powered by GenLayer Consensus

Where Consensus Finds Talent.

Agent.Recruit evaluates rendered public evidence, not keyword stuffing. Talent and opportunities live onchain, while GenLayer validators score fit, refresh recommendations, and assemble draft teams in the background.

Create Your ProfilePost an Opportunity

Profiles Registered

1

Opportunities Live

1

Recent Match Events

4

Personal Dashboard

See your owned profile, tier status, and every match tied to your wallet.

Open aspirant view

Founder Dashboard

Track wallet-owned opportunities, match records, and team drafts in one place.

Open founder view

Markets-inspired, evidence-first product design

The workflow is explicit about signatures and automation.

Profile and opportunity writes are signed. Tier review, match scoring, recommendation refresh, and team generation are automated relayer flows. The interface keeps that distinction visible with status strips, badges, and synced timestamps.

Signed writes only

Create or update a profile. Create or update an opportunity. Every other action is relayer-driven.

Consensus outcomes only

No validator reasoning, no hidden deliberation, no AI chain-of-thought. Only fit scores, tiers, and status outcomes.

Submitted→
Evaluating→
Matches Ready

Talent Registry

Full-stack product engineer for AI hiring and trust tooling

AUTOMATED

The latest submitted profile is now available onchain and ready for relayer-driven review.

maya-proofsmithBasic

Talent Registry

Evidence-backed profiles with consensus-reviewed tiers.

Basic

Start with your essentials and register your onchain talent identity.

  • Wallet ownership
  • Headline and role preferences
  • Initial public proof links

Verified

Add stronger public proof so the network can render and validate real execution signals.

  • Rendered GitHub + portfolio proof
  • Expanded skills evidence
  • Consensus-reviewed tier

Elite Builder

Signal top-tier execution for founders assembling serious onchain teams.

  • Deep proof stack
  • Stronger fit visibility
  • Priority in draft generation

Opportunity Registry

Founder opportunities with explicit slots, skills, and commitments.

Founders publish role structures onchain. Updates require a signature, while every downstream fit score, cache refresh, and team draft stays automated.

Post Opportunity

Live opportunity card

Frontend Lead for AI Recruiting Platform

We need a senior frontend/product engineer to lead the interface for an AI recruiting network. The role requires strong React and TypeScript experience, good product judgment, and the ability to turn structured onchain data into clear user workflows.

ReactTypeScriptNode.jsProduct DesignGenLayer

Frontend Lead

React / TypeScript / Product Design

Smart Contract Integrator

GenLayer / Smart Contracts / Node.js

Matching Engine

Focused-pair consensus scoring that still feels alive across the network.

Every viewed profile-opportunity pair becomes a real match event. Fit scores are persisted onchain and reflected in the recent activity feed, recommendation cache, and team draft pipeline.

AUTOMATED
Leader validator
Peer validator
Peer validator

Outcome only

52% Consensus Fit

Latest recorded pair: maya-proofsmith × Frontend Lead for AI Recruiting Platform.

Recommendation Cache

Fresh when it matters.

Evaluations are cached for instant reads and only recomputed when profile or opportunity versions change.

maya-proofsmith × Frontend Lead for AI Recruiting PlatformWeak
52% fitSync #4
Recent onchain match activity

Recent Match Activity

See fit scores as they are evaluated across the network.

Sync #4maya-proofsmith × Frontend Lead for AI Recruiting Platform · 52% fit
Sync #3maya-proofsmith × Frontend Lead for AI Recruiting Platform · 52% fit
Sync #2maya-proofsmith × Frontend Lead for AI Recruiting Platform · 72% fit
Sync #1maya-proofsmith × Frontend Lead for AI Recruiting Platform · 76% fit
Sync #4maya-proofsmith × Frontend Lead for AI Recruiting Platform · 52% fit
Sync #3maya-proofsmith × Frontend Lead for AI Recruiting Platform · 52% fit
Sync #2maya-proofsmith × Frontend Lead for AI Recruiting Platform · 72% fit
Sync #1maya-proofsmith × Frontend Lead for AI Recruiting Platform · 76% fit

Team Formation

Auto-best-fit draft teams, filled from fresh consensus scores.

A founder’s single automated action can shortlist matching talent, trigger missing pair evaluations, and write a draft team outcome onchain.

Draft team preview

AUTOMATED

Frontend Lead

maya-proofsmith

72% fit

Smart Contract Integrator

Waiting for qualified profile

Open

Why GenLayer

Recruitment quality is subjective. Consensus makes that a feature, not a flaw.

Profiles, rendered evidence, and opportunity structure deserve more than single-model keyword scoring. Agent.Recruit uses independent validators to produce shared, onchain outcomes for tiers, fit scores, and team drafts.