CVBlitzSTARK v4
Recruiter Workspace v1.0

Analyze Candidates

Upload candidate data and let CVBlitz identify the top talent using contextual intelligence, behavioral signals, and recruiter-grade reasoning.

Candidates Ready
100,000
Profiles Processed
0
Hidden Gems Found
12
Avg Match Confidence
94.2%

Start AI Talent Intelligence Pipeline

To begin intelligent candidate ranking, upload a candidate dataset (e.g. CSV or JSONL format) and paste or upload the job description you are hiring for.

Job Description

Detected Requirements
PythonVector DatabasesRetrieval SystemsEmbeddingsRanking EvaluationLLM Experience
Requirements are dynamically extracted using Gemini.

Candidate Dataset

Drop candidates.jsonl here or browse files
Supports JSONL, JSON, CSV (up to 500MB)

Ranking Configuration

Multi-Signal Ranking
Evaluate multiple attributes including code, growth, and timeline alignment
Behavioral Intelligence
Integrate response rate, commitment rate, and endorcements
Candidate Intelligence Graph
Build structured contextual capabilities
Explainable AI Reasoning
Include clear recruiter-grade feedback explanations
Honeypot Detection
Flag inflated credentials or timeline overlaps automatically

What CVBlitz Will Analyze

CVBlitz maps resumes to our candidate intelligence graph, reviewing six core domains simultaneously.

Technical Skills

Python, AI, Retrieval, Vector DBs

Career History

Growth trajectory and role relevance

Behavioral Signals

Recruiter engagement and responsiveness

Production Experience

Real-world engineering expertise

Profile Authenticity

Timeline validation and fraud detection

Ranking Intelligence

Contextual candidate understanding