layiq
/la·yiq/adjective
worthy; deserving; fitting; suitable.
A role, opportunity, or path that merits attention, time, and pursuit.
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How LAYIQ works
Better signal for better career decisions.
Rather than relying on what you type into a search box, we use what we know about your professional background and what you’re looking for next to continually evaluate opportunities for you. You can still search and explore when you want to, but you don’t have to be particularly good at constructing searches just to find an opportunity that fits you.
Seven connected ideas
Profile Context
A résumé was written to describe where you've been, and we're also interested in where you'd like to go.
Your résumé is one of the first things LAYIQ uses, because it contains a lot of useful information about your experience, skills and career progression. It isn't enough on its own, though.
As you set up LAYIQ, you can tell us more about the work you're interested in and the things that matter in your next role. That may include the type and level of role, compensation, location, remote or hybrid preferences and other considerations that influence whether you would seriously consider an opportunity.
Two people with remarkably similar résumés can have completely different ideas about what they'd like to do next.
Opportunity Field
There is a lot of work between finding a job listing and deciding it's a good opportunity.
LAYIQ works with an enormous inventory of jobs gathered from company career sources. Before matching becomes useful, that information needs attention. Jobs can be duplicated across sources, remain visible after they've gone stale, use inconsistent titles or contain incomplete information. We work through those issues as part of maintaining the job inventory rather than expecting you to sort through all of it.
Once we have a clearer picture of an opportunity, we can consider it in the context of your profile: the work itself, relevant experience and skills, seniority and scope, career direction, location and work preferences, compensation when it's available, and other information that can materially change whether the role makes sense.
This is also why we don't equate a large number of results with a good experience.
Fit Evidence
We don't simply submit your résumé and a job description to a model and ask whether it thinks the two belong together.
Traditional job search is good at finding explicit things. If you search for a particular title in Seattle, software can find those words and that location very efficiently. Careers contain a lot of information that isn't nearly as tidy. Titles vary between companies, responsibilities overlap across functions, and experience gained in one industry may be surprisingly relevant somewhere else.
AI helps us interpret some of that context, but it works alongside structured rules and other signals within LAYIQ. The analysis considers different aspects of the opportunity independently and then brings them together.
It also pays attention when something doesn't make sense.
Fit Explanation
A job appears under “recommended for you,” but it's difficult to tell whether the system recognized something meaningful about your experience or simply found the same job title somewhere in your history.
When we identify an opportunity as a potential fit, we show you what contributed to that assessment. You can see where your background lines up well and where there may be gaps or questions worth considering.
That doesn't mean the highest-rated opportunity will automatically be the job you want. Nor should it. Maybe you've spent ten years in an industry and desperately want to leave it. Maybe a slightly lower-paying role gives you access to work you've wanted to do for years. Perhaps you simply read the description and think, “Absolutely not.”
LAYIQ gives you another informed perspective on the opportunity. The decision remains yours.
Decision Feedback
We don't want to optimize the experience around submitting the greatest possible number of applications.
When you decide to apply, LAYIQ sends you to the company's own application process. We made that choice deliberately. We want to help you decide which applications are worth submitting in the first place.
What you do with those opportunities also tells us something. Saving a role, dismissing one, pursuing another or telling us a recommendation missed the mark can provide additional context about your interests.
Over time, that gives LAYIQ a better understanding of the difference between a job you're technically qualified to do and one you'd actually consider doing.
Job Curator
Your Job Curator keeps working between visits.
Searching repeatedly is one of those chores people have learned to accept as part of looking for work. New jobs appear every day, so you either keep checking or create a collection of alerts and hope something useful eventually lands in your inbox.
Your LAYIQ Job Curator takes a different approach. It continually evaluates new opportunities against the profile and preferences you've already established, which means LAYIQ can continue looking for relevant roles even when you aren't actively searching.
When you come back, you're not starting another search from the beginning.
From Prototype to Platform
Before LAYIQ was a company, it was a tool one of our founders built for himself.
What began as a desktop application gradually became much more. Hunter began learning how company career sites and Applicant Tracking Systems worked behind the scenes, moving from traditional searches and parsing to direct access to structured job data.
Friends started using the product. The desktop application moved to the web. The technology became more sophisticated, and eventually the database grew to roughly half a million active jobs.
Along the way, Hunter discovered something that would become fundamental to LAYIQ: more jobs didn't make the product better. Better signal did.
The throughline
Understand the person. Reduce the noise. Explain the evidence. Leave the decision where it belongs.
Your career is yours. We’re here to understand it, earn your trust, and help you make more of what comes next.