How Roasted.cv Actually Works
We built a resume tool based on real hiring data. Not opinions. Not templates from 2015. Actual patterns from thousands of job postings and recruiter feedback.
The Problem
75% of resumes get rejected before a human sees them. ATS systems filter you out. Recruiters spend 6 seconds scanning what remains. You never find out why you didn't get the interview.
Most resume advice is generic garbage. "Use action verbs." "Keep it to one page." "Tailor to each job." Sure, but how? What actually moves the needle?
We decided to find out.
Our Approach: Data, Not Guessing
We didn't write another opinion piece about resumes. We analyzed what actually works.
Job postings from LinkedIn, Indeed, and Glassdoor, to understand what employers actually want in 2026.
Reddit threads from r/jobs, r/resumes, r/recruitinghell, real stories from real people about what worked and what bombed.
Direct recruiter feedback, the honest take on what makes them stop scrolling.
All processed through an AI ensemble: Claude 4.5, GPT-5, Gemini 3, and Grok 4. Cross-referenced and continuously updated.
What We Discovered
Three patterns showed up consistently across all our data:
Generic summaries kill applications
Resumes with specific, quantified achievements get 3x more responses than those with vague descriptions.
ATS rejection happens in seconds
75% of resumes never reach human eyes. Simple formatting mistakes cause most rejections.
Keywords matter, but context matters more
Keyword stuffing hurts you. The best resumes weave relevant terms naturally into achievement statements.
The Result
Roasted.cv takes everything we learned and applies it to your resume instantly. You get:
- A brutally honest roast that tells you exactly what to fix
- ATS compatibility check against 50+ real systems
- AI editing that rewrites weak bullets into strong ones
- Voice input for when you hate staring at a blank page
Built by a team obsessed with getting people hired.
Questions? Reach out at admin@roasted.cv