HaiTalent

Talent Discovery — Search 750,000+ Resumes Against the JD

When your Talent Pool does not have the right fit, search anonymized KudosWall resumes from the same job description and invite matches to apply. Currently available in select cities in India.

Search Talent Discovery

Sourcing without another Boolean string

Recruiters already burn hours on Naukri and LinkedIn Boolean. Talent Discovery is JD-in, ranked-people-out across 750K+ KudosWall profiles — then you screen and invite, same as a ZIP from a job board.

Match on the JD, not keywords

Paste the requirement. Semantic search finds skills and seniority, not an AND/OR string.

Anonymized until you invite

Browse fit first. Invite relevant candidates to apply — you do not dump a public CV database on the market.

Sits next to Talent Pool

Pool first (people you already have). Discovery second (750K+ KudosWall). Job-board ZIP third.

Where it fits in the workflow

1
Check Talent Pool
Silver medalists and past applicants against this JD.
2
Search Talent Discovery
750K+ KudosWall resumes, select India cities. Invite matches.
3
Or upload a job-board ZIP
Naukri / LinkedIn / Indeed downloads still screen in the same ranked view.

Frequently asked questions

What is HaiTalent Talent Discovery?

JD-based search across 750,000+ anonymized KudosWall resumes. Invite relevant candidates when your pool is empty. Select India cities today.

Is this Naukri or LinkedIn?

No. Keep those for sourcing you already pay for. Discovery is KudosWall’s resume graph. After invite or download, screen in HaiTalent the same way you screen a ZIP.

Does AI auto-hire from Discovery?

No. Discovery finds. Screening ranks. A recruiter decides.