Zorlya is on Product Hunt today. See the launch and tell us what you think.
See the launch
How Zorlya scores and matches jobs, where the jobs come from, and what the dates and salaries on a posting mean.
Plain explanations of the data behind every score, with what it cannot tell you.
Newest first.
An embedding is a list of numbers that places a piece of text by meaning, so texts about similar work land close together. Zorlya uses them to find candidate jobs quickly, and then relies on separate checks for skills, salary and location, because a closeness score cannot see those.
Zorlya drops a posting as a duplicate in two cases only. Either its link matches one already seen, or its title, company, location and description are identical to a stored posting. Anything that is merely similar is kept as a separate job.
Every job gets a score from 0 to 100, built from four parts, and a fifth when the posting states a seniority level. Resume fit, skills match, salary fit and location fit are scored separately, weighted, and combined, and a part with nothing to measure is left out instead of counted as average.
Showing 13 to 15 of 15 posts
