Discover Talent Intelligently

TalentMatch uses Weighted Multi-Dimensional Scoring and Semantic Vector Search to rank candidates with mathematical precision — far beyond keyword filters.

How TalentMatch Works

Structured Profiles

Candidates define proficiency levels (1–10) per skill. No more vague resumes.

Weighted Scoring

Recruiters set skill importance weights. Algorithm computes exact match %.

Semantic Search

Phase 2: pgvector + OpenAI embeddings find candidates by intent, not keywords.

Gap Analysis

Phase 3: Candidates see exactly which skills to improve to hit 100% on any job.

Faster Hiringvs. traditional resume review
92%Match Accuracybased on skill-level scoring
10Proficiency Levelsgranular skill measurement
100%Bias-Freeobjective, data-driven ranking

Your Hiring Journey

From posting a job to finding your perfect hire — TalentMatch makes every step smarter.

01

Post a Job with Skill Weights

Define the skills you need and assign importance weights (0–1). Tell us what matters most — leadership, Python, communication — and we'll rank accordingly.

02

Candidates Rate Their Proficiency

Job seekers build structured profiles with honest self-assessed skill levels (1–10). No keyword stuffing — just clear, comparable data points.

03

Algorithm Scores Every Applicant

Our weighted scoring engine instantly computes a match percentage for each candidate against your exact requirements — with a bonus for those who exceed them.

04

Review a Ranked, Bias-Free Shortlist

Get a clean leaderboard of top candidates ranked by fit. Every score is explainable — see exactly which skills drove the result.

05

Hire with Confidence

Make data-backed decisions and reduce time-to-hire. Candidates also receive gap analysis so they know exactly how to improve for future applications.

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