We built CV Refinery to end resume chaos—and help great talent get seen
If you have a career with range, you probably keep multiple resumes. Tailoring the right one for each job gets tedious—yet it's critical. Research shows tailored resumes are 40% more likely to secure interviews than generic ones. The market isn't helping: nearly 99% of Fortune 500 companies use automated screening, applications per posting keep rising, and screeners don't always map your skills to what the hiring manager actually needs. CV Refinery fixes that.
The job search reality
The volume of applications per opening has surged in recent years, driving heavy reliance on Applicant Tracking Systems. Here's what you're up against: 98.4% of Fortune 500 companies now use ATS to filter resumes before a human ever looks. In that fast scan—which eye-tracking research shows lasts just 6-8 seconds—a generic resume rarely makes the cut. The result? 75% of resumes are rejected by automated systems before reaching a recruiter.
- Market volatility: The BLS JOLTS ratio (unemployed persons per job opening) swings with economic cycles, but competition remains fierce across most sectors.
- ATS gatekeeping: With nearly all enterprise employers using automated screening, job-specific keywords and relevant language aren't optional—they're the price of entry.
- Seconds matter: Eye-tracking studies found recruiters spend only 6-8 seconds scanning a resume. You have one brief moment to communicate fit.
Translation: high noise, thin attention, and automated filters. Tailoring isn't optional—it's the difference between signal and silence.
Why I built this
I've lived both sides. As a hiring manager, I was constantly frustrated by the candidates HR put in front of me—either unqualified, or failing basic scrutiny once I looked at the resume. The truly qualified ones? They weren't making it past our own barriers: ATS systems and recruiters who didn't understand my specific business needs well enough to spot the right talent. Meanwhile, as a candidate, I struggled to get in front of the right people, despite deep skills and a track record of outcomes.
The common thread wasn't talent—it was translation: connecting the right evidence to the right role in a way that gets past the gatekeepers. CV Refinery exists to solve exactly that problem. We analyze your resume and the target job, then give you a precise recipe for the best version of your resume for that role.
A sophisticated algorithm, plain-English guidance
Under the hood, we parse your resume and the job post, model the competencies, and map evidence to requirements. Then we recommend specific, verifiable changes—keywords with context, quantifiable bullets, missing proof points, and risk flags—so your resume reads like it was built for the job without sounding like a keyword dump.
- Resume analysis: structure, skills, achievements, proof density
- Job parsing: required/desired skills, signals, hidden constraints
- Actionable recipe: prioritized edits and rationale—your control, not auto-garble
The data backs this approach. Analysis of over 1 million job applications showed tailored CVs achieved a 300% improvement in interview rates. As hiring experts at Addison Group put it: "Tailoring your resume for every job application takes extra effort, but it's the single most effective way to increase your chances of landing interviews and job offers."
Why the market feels harder
Applicants are sending more resumes than ever—research shows the average job seeker applies to 27+ positions before landing an interview. Employers post roles that pause or change. Automated filters sit between you and a human. Even when a recruiter reads your resume in that 6-8 second scan, they might not translate your technical depth to what the hiring manager cares about. The result: crickets—and it's not just you.
- Rising application volumes: Applications per job posting have trended upward post-2022, according to Indeed Hiring Lab data, intensifying competition for every opening.
- Persistent ghosting: Annual Job Seeker Nation surveys consistently show low response rates and minimal feedback, leaving qualified candidates frustrated and uncertain.
- ATS dominance: With 98.4% of Fortune 500 companies using applicant tracking systems, resume content, structure, and keyword optimization directly determine whether you're seen at all.
From overwhelm to a focused, tailored resume
- Upload your resume and the target job post
- Get an evidence map: what fits, what's missing, what to emphasize
- Apply a prioritized set of edits—manually with control, or assisted
- Export a clean, ATS-savvy resume that reads like it was written for the role
The results speak for themselves: tailored resumes are 40% more likely to secure interviews, and analysis of over a million applications showed a 300% improvement in interview rates for customized CVs versus generic ones. More relevance, less guesswork, better signal. That's how you move from crickets to callbacks.
Built by an AI strategist who understands both sides
Tiran Dagan
Chief Digital & AI Officer with 20+ years of experience in large-scale infrastructure and artificial intelligence. Proven track record in leveraging AI and emerging technologies to drive innovation, enhance customer experiences, and generate significant revenue growth.
Currently teaching Advanced Applications of AI at Fairleigh Dickinson University, where students rapidly build AI-powered prototypes in partnership with global enterprise clients. Previously served as Chief Digital Officer at Cognizant, leading digital transformation initiatives that generated over $200M in revenue globally.
Career Highlights
- Cognizant (2018-2023): Led digital transformation for the Communications, Media, and Technology business unit, achieving 11-14% YoY growth and $108M+ in direct revenue
- IBM (2013-2017): Directed Digital Emerging Technologies division, generating $50M+ in revenue through AI-driven offerings
- Ernst & Young (2010-2013): Built and led the Media & Entertainment advisory practice, delivering transformational results for major clients like Disney and E.W. Scripps
- Education: MBA in International Marketing & Finance (Tel-Aviv University), B.Sc. in Artificial Intelligence & Mathematics (SUNY)
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Built with cutting-edge AI and modern web technologies
CV Refinery was developed using state-of-the-art AI development tools and frameworks, combining the power of multiple AI assistants with robust production technologies to deliver a reliable, high-performance application.
AI Development Tools
- v0 by Vercel: Rapid UI prototyping and component generation
- Claude (Anthropic): Advanced code generation and architectural planning
- Cursor AI: Intelligent code editor with AI-powered completions and refactoring
- OpenAI Codex: Natural language to code translation for rapid development
Core Framework
- Next.js 15: React framework with App Router and server components
- React 19: Modern UI library with latest features
- TypeScript: Type-safe development for reliability
- Tailwind CSS: Utility-first styling for responsive design
Backend & Database
- Supabase: PostgreSQL database with real-time capabilities
- Row Level Security: Database-level security for user data
- Supabase Storage: Secure file storage for resumes and documents
- Supabase Auth: Email, Google, and LinkedIn authentication
AI & ML Services
- OpenAI GPT-5/GPT-5-mini: Advanced reasoning models for resume analysis
- OpenAI GPT-4o: Fast, efficient text generation
- OpenAI Embeddings: Semantic search and content matching
- Anthropic Claude: Additional AI capabilities
UI Components
- Radix UI: Accessible component primitives
- shadcn/ui: Beautiful, reusable UI components
- Framer Motion: Smooth animations and transitions
- Lucide Icons: Consistent iconography
Document Processing
- pdf-parse: Extract text from PDF resumes
- mammoth: Parse DOCX documents
- pdf-lib: Generate and manipulate PDF files
- docxtemplater: Template-based document generation
How Core Features Work
Resume Parsing & Analysis
Uploaded resumes (PDF/DOCX) are processed through specialized parsing libraries to extract text, then analyzed by GPT-5 reasoning models to identify structure, skills, experience, and achievements. The system builds a comprehensive profile with quantifiable metrics and proof points.
Job Description Import
Job postings are automatically extracted from URLs using web scraping (Cheerio/Readability), cleaned and normalized, then analyzed by GPT-5 to identify required skills, desired qualifications, hidden requirements, and cultural signals. The system maps requirements to competency frameworks.
Resume-Job Alignment
The alignment engine uses OpenAI embeddings for semantic similarity matching between resume content and job requirements. GPT-5 performs deep analysis to identify gaps, rank missing skills by importance, suggest specific proof points from your experience, and provide contextual keyword recommendations.
Resume Rewriting & Tailoring
Based on alignment analysis, GPT-5 generates targeted improvements—rewriting bullets for impact, adding job-specific keywords naturally, emphasizing relevant achievements, and restructuring sections for ATS optimization. The facts database ensures no compelling detail is lost across applications.
Facts Database
All career information is stored in a searchable PostgreSQL database with vector embeddings. When tailoring for a new role, the system semantically searches your full history to surface the most relevant experiences, skills, and achievements—automatically reusing past successes where they fit best.
Selected sources & statistics
- Bureau of Labor Statistics: Job Openings and Labor Turnover Survey (JOLTS) — tracks unemployed persons per job opening as a key indicator of labor market tightness. bls.gov/jlt
- Jobscan: 98.4% of Fortune 500 companies use an ATS to manage hiring; 75% of resumes are rejected by ATS before reaching a recruiter. jobscan.co/state-of-the-job-search
- ResumeTailored: Tailored resumes are 40% more likely to secure interviews compared to generic submissions; analysis of 1M+ applications showed a 300% improvement in interview rates for tailored CVs. resumetailored.com
- Indeed Hiring Lab: Applications per job posting trends and labor market research. hiringlab.org
- Employ (Jobvite): Job Seeker Nation Report — annual survey covering application volume, response rates, and candidate ghosting. employinc.com/resources/research-reports
- SHRM: Society for Human Resource Management — talent acquisition research and ATS usage among employers. shrm.org
- The Ladders: Eye-tracking research showing recruiters spend only 6-8 seconds scanning a resume. theladders.com
- Harvard Business Review: Articles on the importance of relevance and targeting in job applications. hbr.org
- Addison Group: "Tailoring your resume for every job application takes extra effort, but it's the single most effective way to increase your chances of landing interviews and job offers." addisongroup.com