Software revenue first.
Evidence that compounds.

New purchases use one-time hiring campaigns and optional AI credits. The recurring subscription simulator below is a legacy scenario, not a forecast for the new offer. Prepaid balances are not automatically earned revenue; reconcile purchases, consumption, refunds and delivery costs separately.

ExiLnk starts with a useful recruiting tool for Australian SMEs hiring people across traditional and non-traditional work. Hiring outcomes can improve evaluation over time, subject to explicit candidate consent.

Recorded workspace traction

These are private figures for your signed-in workspace, not platform-wide revenue or audited company metrics. Demo records are excluded.

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Explore the unit economics

Change the inputs to understand the business. These values are illustrative assumptions, not actual sales, market size or a promise of returns.

Illustrative model output

Subscription MRR$24,900
Subscription ARR$298,800
Success fee revenue / month$5,000
Managed margin / month$500
Monthly revenue + managed margin$30,400
CAC payback (months)2.5
Simplified gross profit LTV$6,640

MRR = paying customers × average monthly subscription. ARR excludes success fees and managed services. LTV = monthly subscription gross profit per customer ÷ monthly churn. Payback = CAC ÷ monthly subscription gross profit.

Managed margin is contribution after contractor payroll pass-through; it is not gross payroll volume. This model excludes fixed costs, tax, working capital, collection delays, discounting and cohort effects.

A first hire is hard to evaluate.

Small teams need evidence of practical ability. A resume’s keywords alone do not establish depth. Validate this with SME discovery interviews.

A focused recruiting workspace.

Resume intake, skill evidence and structured interview shortlists for roles and projects across work areas, using an employer’s existing pipeline.

Show what is actually recorded.

Separate active subscription value, imported resumes, assessment evidence and employer-reported outcomes. Add billing reconciliation and cohort retention before fundraising.

Size it from the bottom up.

Reachable junior-tech-hiring SMEs × validated willingness to pay. Add separately researched project spending. No unverified multibillion-dollar TAM claim.

Earn a useful outcome dataset.

Consent-based skill and hiring outcomes, disciplined evaluation and partner relationships could improve the product. A proprietary trained model is a milestone, not a present claim.

Prove one narrow workflow.

Run 3–5 university pilots, recruit paying SME design partners, measure shortlist review time and interview conversion, and validate retention before broadening scope.