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Jackson Kujurleft a comment
"Hey Product Hunt! š I built this because the old "keyword match" method is broken. It ignores context and rejects a deserving talent. We trained our NLP on 1,000+ criteria to give a transparent 1ā100 relevance score instead. Iām curious to hear your take: When you look at a resume, what is the one "green flag" or subtle detail that makes you hire someone, which standard AI tools usually miss?
JobLens Lets find your dream job
Unlike standard keyword matchers, our NLP engine evaluates resumes against 1,000+ deep criteria, capturing nuance others miss. We move beyond binary filtering to provide a precise 1ā100 relevance score, instantly ranking candidates by true fit. This granular accuracy ensures you stop sifting through noise and focus immediately on the top talent that actually matches the job context.
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