Every day we check hundreds of real companies' own career portals directly —not generic aggregators— and an AI reads every posting against your real resume and what you're actually looking for. You decide what to apply to; we just bring you what's worth your time.
None of this is manual on your end. The system runs on its own, every day.
We go straight into Workday, Greenhouse, SuccessFactors and dozens of other platforms companies actually use — we don't scrape LinkedIn or generic job boards.
It's not a keyword filter. A language model compares the role's real responsibilities against your experience and what you're looking for, and gives you an honest fit %.
Every posting comes with "why it fits" and "what's missing" in plain language — so you decide in seconds if it's worth it, instead of guessing what the algorithm saw.
We generate a cover letter and a resume tailored to that specific posting — but the final "send" click is always yours.
Tools that fire off hundreds of applications automatically are flooding recruiters — so much that companies like Greenhouse are already filtering out bot-smelling applications before a human sees them. We do the opposite on purpose: fewer postings, better evaluated, and the final decision is always yours.
Every posting is scored 0–100% against your resume and preferences, with a written explanation of why it fits and what's missing.
A summary of your best-fit postings, with a direct link to your full dashboard — you don't have to log in every day to check.
We generate a cover letter and adjust your resume for each specific role, fully translated into the language you choose.
We use semantic vectors to rank thousands of postings by how close they are to your real profile, before spending AI time evaluating them in depth.
Once the AI has classified every posting, filter your list by seniority level, remote/hybrid/onsite, or country — without losing anything already found.
The entire interface switches between Spanish and English — posting titles and descriptions are shown exactly as the company published them, never blindly translated.
Log in to your dashboard and check what we already found today.
Go to my dashboard →