Add to Chrome instantlyBuilt for Greenhouse
You spend hours on applicants who never chose your job.
Auto-apply tools flood your Greenhouse list with applications nobody actually meant to send. ApplyIntended marks the people who applied to your job themselves — so you sort straight to the ones who really want to work for you, instead of digging for them.
Protect 3 active job roles. For free. No card. Install now.
Greenhouse today. Lever, Ashby, Workable, Personio, and Jobvite next.
- We never see the application
- Native to Greenhouse
- Nothing for applicants to do
- Reversible anytime
Works in your browser
Safari
Firefox
Edge
Arc
OperaThe auto-apply flood
Not every application
is an applicant.
Auto-apply tools and AI agents now fire hundreds of applications on one person’s behalf — often to roles they’ve never seen. The cover letter and resume are real. The person is real. Their intent to work for you isn’t.
- How many applicants actually chose your role?
- How many hours will it take to find them?
- How many will still be interested when you call?
You invest in a promising applicant, reach out — and hear nothing. An agent applied for them; they may not even remember your role. Every one is time you’ll never get back — and maybe the hire you actually wanted, gone.
You can’t stop the blast. We'll show you who actually wants to work for you.
ApplyIntended marks the applicants who applied to your role themselves — Likely-Human, right inside Greenhouse. Filter once, and start with the people who actually chose you.
See who actually applied — in three steps.
You swap one link. We mark whoever applied on their own.Click the filter — and see who actually chose to apply.
- 01
Nothing to rebuild.
- Use the protected link wherever people apply: job boards, LinkedIn, your careers page.
- Swap it in once — no job posts to rebuild, no links to hunt down and replace.
- 02
No one lifts a finger.
- The moment someone applies, we read whether they applied themselves or an auto-apply tool sent it for them — invisibly, in about a second.
- The people who applied themselves get marked Likely-Human in Greenhouse — and no one’s blocked or turned away.
- 03
Know who to interview first.
- Filter your Greenhouse list to Likely-Human in one click.
- Review real intent first — nothing’s removed, the rest stays in your pipeline.
Risk-free to try
Nothing to break. Nothing to lose.
It’s free, and it’s reversible in one click. Nobody ever gets blocked — every applicant still reaches your application. Turn it off whenever, and you’re right back where you started.
We never see the application
Names, resumes, and answers go straight to Greenhouse. We mark the visit; applicant data never reaches us.
Native to your Greenhouse
The Likely-Human mark is a real Greenhouse source, set through their own tracking links. No scraping, no workarounds.
Nothing changes for applicants
No click, no form, no account, no captcha on the way through. Everyone reaches your application exactly as they would have.
See it on your own roles
Turn it on for one open role and watch the auto-apply share light up. Your first list is the only proof you need.
A recruiter I know spent a week on her dream hire — three calls, a take-home, an offer half-written. Then he vanished. An AI tool had fired his resume at 200 companies; he’d never even seen her role. A week, poured into a ghost. That’s when it hit me: recruiters don’t need more applicants. They need to know who actually chose them. So I built ApplyIntended.
Stop chasing ghosts. Start hiring.
One filter, and the people who actually came for your job sit at the top of your list — so your day goes to hiring them, not the ones who vanish.
Here’s everything you get:
- Your hours back — spent on people who actually chose you
- Every applicant who applied on purpose, marked for you automatically
- The ones who meant it, right at the top of your list — one click
- Nothing changes for applicants; no one’s blocked or removed
- We never see your applicant data
- Reversible in one click — turn it off anytime
Free forever. No card. Live in minutes.