The candidate exists. The context is scattered.
You remember a promising person from a previous assignment, but their resume is in a folder and the useful detail came from a call. Reopening every file is slow; starting a new sourcing exercise repeats work you already did.
CandiKeep gives existing resumes and accepted recruiting context a searchable home. It is useful for independent recruiters moving between client roles and founders returning to people they met before.
Search the knowledge, then verify the fit
- Import the resumes you already have and review the extracted profiles.
- Search by names, skills or role terms. Narrow with supported company, current-location and maximum current INR CTC filters when relevant.
- Read the context behind a possible match. A skill mention does not establish depth, recency or willingness to take the role.
- Save a shortlist in a role workspace and record follow-ups. Reconfirm important current details with the candidate.
An illustrative starting point
“Who in my existing database has Python and forecasting experience?” is a useful first pass. Read the returned profiles to distinguish a personal project from professional experience, then check the role’s actual requirements. Optional AI refinement can help inspect evidence; it does not guarantee suitability.
A candidate ruled out as “outside budget” for an earlier role may still be relevant now. Keep that feedback with its role workspace rather than treating it as a permanent property of the person.