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Live Adzuna vacancy signalsCareerOneStop federal skill standardsGitHub repo proof verificationMRI formula: 40% skill + 30% demand + 30% proofReal-time salary benchmarks2027 AI shift simulation90-day agentic mission planningLive Adzuna vacancy signalsCareerOneStop federal skill standardsGitHub repo proof verificationMRI formula: 40% skill + 30% demand + 30% proofReal-time salary benchmarks2027 AI shift simulation90-day agentic mission planning
Live Market Signals Active

Are You Actually Hireable — or Just Hopeful?

We combine live GitHub engineering signals with real hiring demand data, then stress-test your career readiness against the next AI market shift.

Stress-Test My Career
Methodology

What We Provide, How We Calculate It, and Why the Data Is Legitimate

Market Ready combines federal skill standards, real vacancy signals, proof verification, and transparent formulas so students can make decisions based on traceable evidence rather than guesswork.

What we provide

  • A 0-100 Market Readiness Index with a clear component breakdown and gap priorities.
  • Skill Gap Auditor and Certification ROI guidance mapped to your target role.
  • Proof portfolio tracking, GitHub-backed evidence checks, and AI-shift stress simulation.

How we provide it

  • We map your selected role to required skill standards using CareerOneStop.
  • We pull live market demand and salary momentum from Adzuna.
  • We compare required skills against your verified proofs and repo signals, then recalculate your score.
  • Every run returns freshness metadata, provider status, and source citations.

APIs and systems used

  • Adzuna Jobs API for vacancy trend, salary benchmarks, and hiring company signals.
  • CareerOneStop Skills Matcher for role-to-skill requirements (with O*NET role mapping).
  • GitHub API for repository, language, and code-signal verification workflows.
  • Configurable AI provider (OpenAI or Groq) for guidance and proof-assist flows.

Calculation Logic

Core MRI Formula

MRI = (Federal Standards x 0.40) + (Market Demand x 0.30) + (Evidence Density x 0.30)

Federal Standards

70% non-negotiables + 30% strong signals, weighted by proficiency (Professional 1.0, Intermediate 0.75, Beginner 0.50).

Evidence Density

35% proof-type diversity + 35% proficiency quality + 15% certificate bonus + 15% GitHub profile signal.

Market Stress Formula

Stress score uses 40% skill overlap + 30% market trend + 30% evidence verification with 2027 scenario simulation.

Data Integrity and Trust Signals

  • Provider traceability: responses include source mode (live or snapshot fallback), provider status, and query details used.
  • Freshness controls: market snapshots use strict TTL windows so stale data is not silently treated as fresh.
  • Citation-backed scoring: each score run includes source-signal-value citations for skill overlap, market trend, and proof density.
  • Proof integrity: evidence is tied to submitted artifacts, verification status, and metadata instead of hidden manual overrides.
Services

Some of the Services We Offer

These services are designed to move you from confusion to clear, job-ready execution.

Increase your job readiness score

Prioritize what to improve first and track measurable readiness gains as your proofs and skills grow.

Start Your Plan

Get personalized certification recommendations

Use role-aware ROI guidance to choose certificates based on demand, salary impact, budget, and effort.

Start Your Plan

Build a 90-day career plan

Turn goals into weekly execution with a guided plan tied to real market signals and your target pathway.

Start Your Plan

Get ATS resume help

Use our ATS-focused resume support to improve keyword alignment, structure, and recruiter readability.

Start Your Plan
2027 AI Shift Simulation

What Happens to Your Score?

When AI demand surges 40% and generic frontend roles drop 25%, your readiness index shifts in real time.

BeforeAfter 2027 Shift
82
Current
82
-0 • LOW RISK
Threat
Generic frontend demand ↓ 25%
Opportunity
AI skill demand ↑ 40%