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Your best candidate for a new role may have already applied to an old one. Talent Rediscovery searches every candidate who has ever applied to any of your team’s job openings and ranks them against the role you are hiring for now. Open it from the sidebar under ATS → Talent Rediscovery. The page shows how many past candidates your team has, so you know the size of the pool before you start.
Talent Rediscovery is part of Equip’s free ATS. Searching and ranking your past candidates does not consume any credits.

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How Rediscovery Works

There are two ways to start a search. You can upload a job description, which opens a modal where you paste the JD and Equip extracts the search criteria for you. Or you can set a skill filter directly and refine from there.
1

Open Talent Rediscovery

In the sidebar, go to ATS → Talent Rediscovery. The empty state shows your team’s total number of past candidates.
2

Set your criteria

Click Upload a Job Description and paste the JD so Equip can extract criteria, or set a skill filter above the results to begin.
3

Review the ranked results

Once a skills filter is set, each candidate receives a relevance score. Scan the ranked list and refine your filters as needed.
4

Open a candidate's detail panel

Click a candidate to see their full application history across all your openings, including the stage and fit score of each application, plus their work and education history.
Each result row packs in everything you need to judge a candidate without opening their profile:

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Scoring Weights

Relevance scoring activates as soon as a skills filter is set. Every candidate in the results is scored on three components, and you control how much each one counts. The three weights must always sum to 100. You edit Skills and Experience directly, and Recency takes whatever remains.
Hiring for a fast-moving stack? Lower the Experience weight so Recency rises, and recent applicants with fresher skills float to the top.
Each candidate’s relevance score comes with a per-component breakdown, so you can see whether a high ranking is driven by skill match, depth of experience, or how recently they applied.

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How Experience Is Estimated

Candidates keep gaining experience after they apply, so Talent Rediscovery ages their numbers forward. A banner on the page reminds you: “Experience and per-skill years are estimated based on time since each candidate applied.” The estimation works in two parts, explained in the How experience is estimated modal on the page:
  • Total experience grows by the time elapsed since the candidate applied.
  • Per-skill years grow proportionally to that same elapsed time.
Aged figures are estimates, not facts. A candidate may have switched stacks or taken a break since applying. The results show both the aged and the original values, so always confirm current experience with the candidate before making decisions.

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Exporting Results

Once you have a ranked list you are happy with, you can export the results to work with them outside Equip.
Export a rediscovery run before opening a new role to build a warm longlist for your hiring manager. Reaching out to past applicants is usually faster and cheaper than sourcing cold candidates.
  • Candidate Search - Look up a specific candidate by name or email across all activity
  • Job Fit Score - How Equip ranks active applicants within a single job opening
  • Candidate Profile - What lives in a candidate’s detail panel and journey
  • Bulk CV Import - Grow your talent pool by importing up to 100 CVs at once