AI is already in the loop
Candidates use it to polish applications. Employers use it to screen. The missing layer is evidence that both sides can trust.
AI-first candidate signal
Stop overlooking candidates with real signal.
TrySignalHire is a two-sided hiring layer for the AI age. Candidates bring evidence. Hiring teams get structured signal before the first screen.
40+
application maze
Profiles, job boards, forms, videos, and repeated context.
24h
reply standard
Hiring teams should close the loop quickly once signal is in front of them.
$20K
role filled
Early hiring-side pricing signal. Candidates stay free.
Candidate signal packet
Systems engineer profile
Resume
Evidence attached
Parsed
Projects
Evidence attached
Linked
Work sample
Evidence attached
Reviewed
Top question generated
Walk through a real system you improved with AI. What changed, what broke, and what did you verify?
5
Questions
12m
Spoken proof
Auto skills
AI workflowsSystems thinkingNext.jsOperations
Hiring manager view
Compare the candidate against the role with sourced evidence, interview history, and response deadlines in one place.
Grounded in submitted materialCandidate free24-hour reply target
Why this exists
The hiring market is using AI on both sides, but the signal layer is still broken.
Applying faster is not enough. Screening faster is not enough. The better answer is a shared evidence packet: consistent sections, fewer questions, grounded interviews, and a real response window.
Fabrication is the real risk
A stronger system should reward candidates who can connect claims to projects, context, and consistent follow-up answers.
Systems thinkers get missed
Keyword-first filters are weak at seeing builders, operators, career switchers, and high-agency people without perfect titles.
Fair look before first screen
The goal is not another job board. It is a better signal packet before the hiring team decides who gets time.
Candidate view
Bring the work you already did. Let the system make it legible.
No more rebuilding the same profile across LinkedIn, Wellfound, Work at a Startup, Greenhouse, personal sites, and one-off forms.
Upload real material
Start with the resume, work samples, project links, cover letters, and recommendations candidates already have.
Build one candidate page
Create a consistent profile with skills, experience, education, projects, and the strongest evidence for each.
Answer fewer questions
Keep the ask focused. Five high-signal questions beat another hundred-field profile.
Hiring team view
Replace the keyword wall with a structured signal review.
Written answers, spoken answers, and AI interviews should be grounded in submitted experience and compared against the actual role.
Role-specific questions
Ask written prompts that compare candidates against the role, not just a keyword screen.
Voice and AI interviews
Add spoken answers and AI interviews grounded in the candidate's submitted material.
Fast close-the-loop rules
Reply within 24 hours when a candidate is reviewed. No more silent first screens.
Product loop
One candidate profile. One role-specific review. A real answer.
01
Candidate uploads evidence
Resume, projects, writing, recommendations, work samples, and role-specific notes become the source of truth.
02
TrySignalHire standardizes the profile
Every candidate gets the same core sections: skills, experience, education, projects, and top questions.
03
Interviews stay grounded
Written, spoken, and AI-led questions are based on the candidate's actual experience, not fabricated prompt theater.
04
Hiring teams respond quickly
The system optimizes for a fair look, useful signal, and a fast answer instead of another black hole.
Early access
Built for candidates who are tired of disappearing, and teams who know resumes are no longer enough.
This first version is the landing page only. The product shape is clear: candidate evidence in, structured signal out, faster human decisions.
Free for candidates
$20K per filled role
Written and spoken signal
24-hour reply expectation
Profiles generated from real material
No extra hundred-question profile