Autonomous job application runner

Apply while you sleep.
Know what you applied to.

Glidyr runs continuously in the background — discovering jobs, scoring fit, tailoring materials, and submitting applications on supported company career pages. No autofill browser extension. No mass-apply spam. A system that actually executes.

Product Marketing Operations RevOps BizOps Customer Success

Discovers

Continuously scans direct company career pages — not aggregator boards. Finds openings that match your targets, constraints, and compensation requirements.

Interprets

Reads application forms as structured data — not screenshots. The form-intelligence layer understands field types, constraints, and platform families so it can execute correctly.

Tailors

Adapts your profile, resume, and application package to each role — keywords, context, credentials — before submission. No generic mass-send.

Submits

Executes the application directly on the company's career page. Stores the pattern for future runs. Reports what was submitted, what was skipped, and why.

Glidyr only runs on supported, validated career pages. Unsupported flows fail safely — they don't guess.

How it works

Three steps to a running system, then daily progress in your inbox.

01

Upload once

Drop in your resume, define your target roles, locations, compensation floor, and deal-breakers. This is your candidate profile — stored, versioned, and used for every application.

02

Activate

Flip the switch. Glidyr begins discovering open roles on supported company career pages, scores them against your profile, and queues matching applications.

03

Watch the feed

Your dashboard shows every action taken: jobs found, match scores, what changed in your application package, submissions completed, flows skipped or failed. Full transparency, always.

Design principles

One monorepo

All surfaces, services, schemas, and execution logic live in one repository. Development, deployment, and agent-driven maintenance stay simple.

One form-intelligence layer

No separate product per ATS. One universal layer handles the middle band of application flows, augmented by a growing library of learned patterns and fingerprints over time.

AI interprets, code executes

LLM handles the fuzzy work — understanding a form field, scoring a job, adapting language. Deterministic code handles the execution. Clean separation, observable outcomes.

Fail safely

Unsupported flows skip rather than guess. The system tells you what it couldn't do and why. Low support burden. High trust.

What you get

20–40
hours saved per month by mid-career professionals on job applications
100%
visibility into every action taken — submitted, skipped, failed, and why
Quality
every submission is tailored to the role, not copy-pasted from a template
Continuous
runs in the background — daily discovery, scoring, and submission while you focus on interviews

The job search was never supposed to be a full-time job. Glidyr makes it async.