What is ApplyFlow Radar?

A hosted workflow radar for local-first AI job search teams that need job fit scoring, portal scan planning, application evidence, and export-ready career operations.

Does the service submit applications automatically?

No. The workflow is designed for human-approved job search decisions, evidence review, and exportable tracking.

How does annual billing work?

Annual checkout uses a 50% discount and is a one-time purchase for the selected cycle with no automatic renewal.

Visitors want a practical open source AI job search workflow, not another generic resume builder.

Open source AI job search with fit scores, evidence, and a hosted workbench

ApplyFlow Radar turns a local-first AI job search into a structured online workbench. Paste a job description, add a profile snapshot, and get a readiness score, missing evidence, scanner plan, and next action list before you spend time applying.

Run an open source AI job search check View pricing plans

When this page helps

Evaluate whether a role is worth applying to
Prepare a clean evidence trail before generating a resume
Coordinate a weekly job search without losing source links

How the workflow runs

Paste a job description or role URL
Add resume facts, target region, and search strictness
Review the fit score, blockers, and portal scan plan
Export the tracker after checkout

Risks to review first

AI can overstate experience if source facts are vague
Portal rules can change and require human review
Automated application submission should stay human-approved

Open workflow receipt

Turn a local career-ops run into a shareable scorecard.

Use this page when a candidate wants the benefits of an open workflow but needs a hosted place to compare role fit, source facts, and weekly next steps.

Checkout Operator annual

Output receipt Role-fit triage receipt

Captures the JD summary, profile facts used, fit score, unsupported claims, source URL, and next review step.

Related workflows

More ways to operate an open job search.

Job Portal Scanner AI for Greenhouse, Ashby, Lever, and Career PagesVisitors want to scan ATS-backed career pages and turn scattered roles into a decision queue.Career-ops GitHub Workflow CompanionVisitors searching for the GitHub project need a practical way to understand and operationalize the workflow.Career-ops AI Readiness WorkbenchVisitors want to know how AI helps the job search without blindly submitting applications.Career-ops Plugin and Workflow Extension PlanningVisitors are looking for plugin or extension paths around the workflow.How to Use Career-ops Without Losing the Application TrailVisitors want a usage path, setup order, and practical operating model.Career-ops Claude Workflow NotesVisitors want to connect Claude-style assistant workflows to career operations.