LLMs have polished every resume into the same story, so screening takes longer and miss rates climb. ValueSignal connects you with AI-native talent based on the AI projects and work they are actually doing, not the resume they generated.
Recruiter access is invite-only while we onboard in waves.
Growth operator with demonstrated experimentation habits, clear communication patterns, and evidence of AI-assisted analysis workflows aligned to role requirements.
When generative AI optimizes every resume into the same polished story, the resume stops being a signal. The result is longer screens, more guesswork, and higher miss rates. ValueSignal restores the signal with evidence from real AI work.
“Proficient with AI tools” on a resume tells you nothing about how someone actually reasons, validates, or iterates.
ValueSignal shows skill signals built from real AI work instead of self-reported claims.
Take-home AI tasks are easy to game and expensive to evaluate fairly.
Candidates build signal passively through real usage patterns rather than one-off performance theater.
Hiring teams argue about “AI-native” instincts with no shared evidence base.
Fit, proof, and coverage create a common review language your team can actually defend.
Fit, proof, and coverage turn real AI work into a shortlist you can defend, so your screening time goes to verified signal instead of decoding another optimized resume.
Healthcare analytics candidate with repeat evidence of stakeholder communication, structured problem solving, and prompt-led research workflows relevant to the role.
Role-relative alignment between demonstrated candidate capabilities and the requirements you care about for the job.
How much of a profile is backed by verified AI work evidence rather than low-confidence or lightly observed behavior.
The proportion of required skills the candidate has demonstrated, so teams can spot gaps before the interview loop.
Structured context explaining why someone surfaced, which makes shortlisting faster and reduces recruiter guesswork.
Three steps from an open role to a shortlist backed by real AI work instead of resume claims.
Post a manual role or define what you need in plain language. ValueSignal turns that into a signal-aware hiring brief.
Role framingCandidates build signal through real AI usage, then appear with fit, proof, and coverage context that is easier to assess than resumes alone.
Signal-firstInvite teammates into the workflow and share structured review context so the decision feels grounded instead of subjective.
Review-readyRecruiter access is invite-only today. Here is how packaging works when your seat opens, so there are no surprises after you join the waitlist.
Recruiter seats are invite-only while we onboard in waves. Join the waitlist for early access to a hiring surface where verified proof, not claimed skills, decides who you talk to.