Get a boolean string you can actually edit

A string that runs on one search surface will not necessarily run on another, and the failures are quiet rather than loud. Some platforms cap the number of operators or the total character length and truncate the rest. Some ignore parentheses beyond a nesting depth. Some treat a hyphenated term as an exclusion because the hyphen reads as a minus. Some strip wildcards. Some have their own field syntax, a title or company qualifier, that does the job better than a general keyword search.

The generator produces a variant per platform rather than one universal string, and tells you what it changed and why. That is more useful than a single string plus a disclaimer, because the differences are the whole problem. It also flags where a platform's own structured filters, location radius, seniority, current employer, will do a cleaner job than cramming the same constraint into the keyword box.

You give it a role title, the skills that genuinely matter, a location, and optionally a seniority and things to exclude. It expands the title into a synonym group, because the person you want may be a software engineer, a developer, a programmer or a member of technical staff depending on who wrote their job title. It groups the skills you marked essential with AND and the interchangeable ones with OR.

Then it adds the exclusions that save you time on most searches: recruitment agency terms if you are searching a public web index, obvious student and internship signals if you asked for senior, and the noise terms that come with the specific title you entered. Every one of those additions is shown separately so you can strip the ones you disagree with.

This is the honest part. No generator knows your market. It does not know that in your city the role is called something else, that a particular former employer is a reliable source of the skill you need, that the certification you listed was renamed in 2023 and both names are still in use, or that the term you excluded is also how half your best candidates describe themselves.

So the workflow that works is to run the generated string, look at the first twenty results, and then edit. If the results are dominated by one wrong role family, add an exclusion. If the count is in the tens of thousands, add an AND term. If it is in single figures, take the most restrictive term out and see what surfaces. Two or three edits usually gets you somewhere a first-pass string never would.

The value of the generator is that it removes the syntax errors and the blank-page problem. It does not remove the sourcing judgement, and any tool that claims to has not been used on a hard requisition.

The generator will process the role, skills and location you enter to build the strings and will not retain them. No account is needed and none is created by using it. The inputs here are role and skill terms rather than personal data, which makes this the lowest-risk tool on the page.

That changes if you paste in something else. Recruiters sometimes paste a candidate profile or a resume into a string builder to extract search terms from it. If you do that, you have put another person's personal data into a free web tool, and that is a processing decision you are making as controller under your own privacy notice. It is not one we can make for you. Extracting the terms by hand takes a minute and avoids the question entirely.

It will not run the search. It produces text you paste into a platform you have your own access to, under that platform's terms. It will not scrape results, bypass a login or automate anything against a site that does not permit it, and it will not return candidate profiles.

It will not know how many results a string returns, because it has not run it. It will not guarantee a string is accepted, because platforms change their syntax without notice and a string that worked last quarter can silently degrade. It will not replace a platform's own structured filters, and where those are better it says so rather than pretending the keyword box is the only route.

The cheapest candidate you will ever place is one already in your database, and boolean strings for external platforms are the second step rather than the first. Inside Surhires the Candidate Sourcing Agent searches your own records against a live requisition before you go outside, surfacing people who already match and who you have already spoken to.

That search runs against structured fields, normalised skills, seniority, location, notice period, alongside the parsed resume text, so it can express a brief that a keyword string cannot. Saved searches turn a brief into a live list that repopulates as new candidates arrive. The boolean generator remains useful for external platforms; it just should not be the first place you look.