Describe your ideal hire.
Write your criteria to the AI engine in plain language — as if you were briefing a colleague. Smart Match reads your entire applicant pool, scores each candidate for fit, and explains the reasoning behind every score.
From a sentence to a shortlist, with the reasoning attached.
No boolean filters, no rigid dropdowns. Describe what "good" looks like for this role, and let the engine do the reading, scoring and explaining.
Write criteria in plain language
Instead of filter checkboxes, describe who you're looking for in a sentence: experience, skills, must-haves and nice-to-haves.
AI reads and scores the whole pool
The engine reads every application — CV, application answers, portfolio — and gives each candidate a 0–100 fit score against your criteria.
See the reasoning behind each score
Click any candidate to read which criteria were met, which were missing, and exactly why the score landed where it did.
Write once. Rank the whole pool. Click any candidate for the why.
Meets almost every criterion: 6 years of React, strong TypeScript, and built and maintained a company-wide design system from scratch. The only gap is no direct fintech experience — which was only a nice-to-have.
6 years of React on the CV; last 3 in a senior role, including team leadership.
Type-safe component library in the portfolio and a conference talk on TS.
"Built and maintained a design system used by 12 product teams" — from the application answer.
Fully remote for the last 2 years, working across time zones.
No direct fintech; but worked on a regulated healthtech product — partial transfer.
A fit score is never a black box.
Each criterion you write becomes a weighted signal. The engine reads across the full application and shows exactly how much each part contributed — and where the gaps are.
Skills & experience
Required technologies, seniority and role history — matched semantically, not as exact keyword hits.
Application evidence
CV, cover letter, portfolio and answers to application questions are all read and weighed.
Must-have vs. nice-to-have
It understands the difference; a missing bonus doesn't drop the score as much as a missing requirement.
Transparent weighting
Each criterion's contribution to the score is visible; no signal stays hidden, the decision stays yours.
Faster than screening, fairer than a keyword filter.
Keyword filters miss the candidate who wrote "built a UI framework" instead of "design system." Smart Match reads for meaning, not string matches — and hands you the reasoning so the decision stays yours.
Reads meaning, not strings
Recognizes "built a UI framework" and "shipped a design system" as the same capability. Catches candidates keyword filters miss.
Every score is explainable
Behind each fit score is a readable rationale of which criterion was met and how. No black box.
The decision stays yours
Smart Match never auto-rejects; it ranks and explains. You make the final hiring call, backed by evidence.
Meet Jobnest.ai.
Explore Jobnest.ai's AI interview experience.
