Describe the candidate Let an AI agent screen 800M+ public profiles

Move from a vague job description to high-caliber, under-the-radar candidates in minutes thanks to AI agents combined with Nova's proprietary merit-based search engine

✨ Who are you looking for?

You don't have to remember everything upfront, or stay on one tab to fix it.

What recruiters run into every day

You're scrolling through hundreds of profiles that don't matter.

Most searches return a wall of loosely-relevant names, and the only way to find the handful worth reaching out to is opening every single one.

Search "Banking," and a regional branch and a Global Systemically Important Bank rank the same.

A great candidate never shows up, because they didn't use your exact words.

Keyword search only finds people who described themselves the way you searched for them. Anyone who phrased it differently just isn't in the results, qualified or not.

Search "ML Engineer," miss the "Applied Scientist" who's just as qualified.

Every good candidate lives on a different platform, and you're checking each one by hand.

LinkedIn, GitHub, niche job boards. The person you need could be on any of them, so sourcing turns into ten open tabs and a spreadsheet just to keep track.

How the agent learns what you want

Nova Recruiter's search builder: a plain-language brief turned into role titles, and FinTech and Banking split between Must have and Nice to have criteria

Start from any search.

The agent proposes Mandatory and Desirable criteria straight from your filters. Drag them into the order that matters to you.

The agent asking “Would you consider this a valid candidate?” beside a candidate's profile, with Yes and No to answer

Calibrate it.

It shows you real candidates from your search, one at a time, "Would you consider this a valid candidate?" Say yes or no. If something's off, tell it right there ("I want to exclude fashion") and it adjusts before it's seen the rest.

The scope step: a slider set to 100 candidates, next to a note that the agent will not shortlist anyone who misses the criteria

Set the scope.

Pick the maximum number of candidates you want, and whether they land in a new list or an existing one. If fewer candidates qualify, that's fine. The agent won't pad the list just to hit a number.

A finished shortlist named “Fintech PMs London”, each candidate labelled Top, High or Good match with the reason beside it

Put the agent to work.

It runs through the rest of your search on its own, applying everything you just calibrated, and saves only genuine matches.

The impact

2x
Higher-quality matches

Every candidate is screened against your exact criteria before they reach your list, not just keyword-matched.

+12–15h
Saved per week on search work

Hours that used to go into opening profile after profile, back in your week for the calls that actually close a placement.

Two scores, one clear view

Top 1% Talent
Talent Score

Nova's own quality signal, built on 150,000+ assessments from its recruiter network. It weighs international experience, languages, education, and career trajectory, independent of any one role, so a strong candidate reads as strong no matter what you're searching for.

Top match
Match Score

How well this candidate fits this search, specifically. Recalculated every time.

Nova Recruiter vs. the alternatives

Everything you can do with Nova Recruiter, and more.

Capability
Nova Recruiter
Natural language + full filter builder
LinkedIn Recruiter
Filter UI + Boolean
Other sourcing tools
Sourcer + Boolean strings
Search method
Natural language + structured filters
Boolean + filter UI
Boolean strings only
Keyword logic
AND/OR groups, must-have, nice-to-have, exclude
Boolean only
Boolean only
Role coverage
Find Similar Roles auto-suggests equivalent titles
One title at a time, manual
One title at a time, manual
Location
Include or exclude any city, region, or country
Include only
Varies by platform
Industry depth
22 industries, 340+ subindustries
One industry tag
Rarely available
Company caliber
Talent Tiers rank company caliber per sector
Not available
Not available
Experience & tenure
Min/max years and time-in-role, each flexible to nice-to-have
Fixed cutoff only
Varies
Education
Graduation year, field, degree, institutions include/exclude
Basic school filter
Rarely available
Candidate ranking
Talent Score + Match Score, both AI-ranked
Single relevance score
Alphabetical or by date
Match reasoning
AI-written explanation on every candidate
Not available
Not available
Lookalike search
Paste any LinkedIn profile to find similar candidates
Not available
Not available
List export & import
Export full profiles to CSV, bulk-import via LinkedIn URLs
Limited export, no bulk import
Manual copy-paste

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