AI Matching & Resume Scoring
A shortlist that tells you
why
AI scores every resume against your job description and shows the reasoning — not a black-box number.
How it works
Score, explain, rank — automatically
AI turns the JD into a rubric
Hard requirements, nice-to-haves, and weights — extracted from the job description, no manual setup.
Every resume gets scored
Resume, screener answers, portfolio — graded against each requirement, not a single keyword pass.
You see the reasoning per requirement
Each candidate card shows their score, the breakdown by hard and extra requirements, and the reasoning behind every number.
Why it's different
Contextual, explainable, live
Resume scoring that reads context the way a senior recruiter does — not keyword matching, not a fixed score, and never a black box.
What makes it work
Three properties every hiring manager asks about
Contextual resume scoring
"React" on a toy project and "React" at a real company aren't the same signal. The scorer reads the resume in context — depth, recency, scope — not just the word.
Explainable per requirement
Every score breaks down requirement by requirement, with the reasoning. If you disagree, you can see exactly why and tune the rubric.
Live, not frozen
New screener answers, new portfolio links, new feedback — scores update as the picture fills in.
See your first scored shortlist.
Post a job, let applicants send their resumes, and watch the scored shortlist assemble itself.
