Define the type of candidate you recruit and map the companies who'd hire them. The recruitment counterpart to Desks.
How it works
Reverse Market Profile — describes who the candidate IS: role title, must-have skills, move triggers, target employers, disqualifiers, seniority, and LinkedIn boolean search
Linked candidates — real candidates are linked to a Reverse Market Profile and tracked through the recruitment pipeline (identified → shortlisted → contacted → placed)
Company map — target employers where this type of candidate works or could be placed. Auto-populated via Deep Research or manually curated
Each Reverse Market Profile has its own tabs: Leads, Companies, Candidates, and Prospects. The Leads tab pairs two cards — Discovery (scraped roles at companies not yet on the profile; Add to Reverse Market or Dismiss) and Role Matches (roles at companies already mapped to the profile — this card is specific to Reverse Market Profiles). Unlike a Desk's engine-backed Feed, the Reverse Market Profile has no classification engine — the Leads tab is a straight lead list. See Leads and Discovery for the full explainer. Monitoring itself is configured on the profile's linked Desk — the Reverse Market Profile page shows a read-only status row with a link to manage it there.
Reverse Market to Desk flow (reverse marketing)
Generate a Desk from a Reverse Market Profile — generate a Desk targeting the companies who'd hire this type of person directly from the profile. The Desk inherits the candidate's industry, location, and company size criteria
CV-reverse desks — upload a candidate's CV and AI generates both the Reverse Market Profile and a reverse-marketing Desk in one step. The generated Desk is clearly marked as candidate-led, so you know the companies are placement targets, not product prospects
Deep Research — run research from the generated Desk to discover real companies hiring for this role right now. Found companies feed into campaigns targeting hiring managers
Float outreach — a campaign linked to a Reverse Market Profile automatically uses the
Float copy framework: it drips the candidate to hiring managers over a short sequence (teaser → proof points → full one-pager and CV) instead of dumping the whole pitch in one email
Creating a Reverse Market Profile
AI generation — describe the role in plain English and AI builds the full profile (1 cr)
From CV — upload a candidate's CV and AI extracts skills, experience, target employers, and generates a placement-ready profile
Manual — define the role criteria yourself: title, sectors, employers, locations, must-haves
From candidate — click "Reverse Market Profile" on any candidate detail page to reverse-engineer a profile from their data
Desk vs Reverse Market — when to use which
Desk — "which companies should I sell my service to?" Used for sales outreach. Companies are product/service prospects
Reverse Market Profile — "which companies would hire this candidate?" Used for recruitment placement. Companies are potential employers
Both together — recruit candidates via Reverse Market Profiles, then reverse-market them to companies discovered via the generated Desk. Two sides of the same market