Our Mission

Making technical hiring consistent and fair.

Hiring decisions often suffer from subjective interviewer biases, inconsistent questioning, and slow resume review cycles. We built HiringX to give every applicant a structured, rubric-based evaluation.

Objective Rubrics

Candidates are scored on concrete criteria: system design clarity, code correctness, and trade-off analysis, rather than gut feeling or pedigree.

Fast, Honest Feedback

Applicants shouldn't wait weeks for an initial answer. Resumes are scanned in minutes, and practice interviews deliver immediate feedback breakdowns.

Engineer-First Tooling

Designed for software teams, product engineers, and technical candidates who value clean problem statements and practical engineering trade-offs.

Direct Comparison

Traditional recruitment vs HiringX

How our automated candidate parsing and structured interview simulations compare to legacy manual hiring funnels.

Dimension
Traditional Hiring
HiringX Pipeline
Resume Screening Speed
5 to 14 business days of manual scanning
Under 60 seconds with deterministic PDF parsing
Evaluation Objectivity
Varies by individual interviewer mood and pedigree bias
Calibrated multi-factor rubrics scored against role criteria
Initial Technical Screening
45 minutes of expensive engineer time per phone screen
Automated structured simulation with real-time scoring
Applicant Feedback
Candidates are frequently ghosted or receive generic templates
Immediate actionable breakdown of matched skills & gaps
Auditability & Records
Scattered notes in private emails or chat threads
Timestamped interview transcripts and verifiable score records
Candidate Practice Experience
No self-service preparation; high anxiety on live calls
Self-service mock interviews with instant confidence metrics

Core Team

The engineers and operators behind the platform.

HC

Himanshu Chauhan

Product & Architecture · ex-HCL

Focused on recruitment workflows, candidate assessment rubrics, and platform scaling.

HS

Harsh Shinde

Systems Engineering & Backend

Oversees technical infrastructure, database modeling, and automated scoring pipelines.

Have questions or want to partner?

We are actively collaborating with engineering teams and universities.