LinkedIn boolean prospecting 101
A practitioner's primer on boolean search for sourcing candidates: operators, title synonyms, seniority terms, must-have vs nice-to-have skills, and X-ray search you run yourself in your own browser.
Free tools and short, practical guides — LinkedIn sourcing, notice periods, rate signals, writing a job description that actually filters. Plus a peek at how the app keeps candidate data honest.
AI summary · generated Jun 3 — the app never invents data it didn't find.
Paste a job description, get a ready-to-paste Boolean search — broad, narrow and Google X-ray variants. Free with a Deelbert account.
Tip: found someone good? Paste their LinkedIn URL in the app and it captures the profile in one click.
A practitioner's primer on boolean search for sourcing candidates: operators, title synonyms, seniority terms, must-have vs nice-to-have skills, and X-ray search you run yourself in your own browser.
Notice period is the field that makes or breaks a start date, and it's the one most often guessed. Here's how to read it, what to ask, and why the candidate's own words beat any assumption.
A candidate says "around 600." Per day or per month? Gross or net? B2B or permanent? Here's how to read money signals out of a conversation without filling the gaps with guesses — and why a blank rate beats a wrong one.
A practitioner's guide to where AI extraction is reliable (stack, titles, stated availability) and where it should stay silent. The case for "null beats a guess" — and why a tool that admits its limits is the one you can trust.
A messy JD produces messy boolean queries and weak fit context. Here's how to clean a job description so it sources well: a precise title, must-haves split from nice-to-haves, real seniority signals, and the location and rate facts that actually drive a search.
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