After 3 months of job applications with a 4% response rate, I learned that most companies use automated systems (ATS) that filter applications before humans see them.
I was getting scored around 30-40/100 by these systems. Companies typically auto-reject anything below 70.
Built this tool to solve my own problem:
- Analyzes job descriptions for keywords their system scans for
- Shows match percentage and missing keywords
- Suggests optimized bullets with metrics
- Free, no signup
Tech: React/TypeScript frontend, FastAPI backend, GPT-4 for optimization suggestions
After using it: 40% response rate, 3 interviews in a week, accepted an offer.
Link: resume-tailor-ai-nine.vercel.app
Would love feedback from the HN community on the approach or tech stack!
I was getting scored around 30-40/100 by these systems. Companies typically auto-reject anything below 70.
Built this tool to solve my own problem: - Analyzes job descriptions for keywords their system scans for - Shows match percentage and missing keywords - Suggests optimized bullets with metrics - Free, no signup
Tech: React/TypeScript frontend, FastAPI backend, GPT-4 for optimization suggestions
After using it: 40% response rate, 3 interviews in a week, accepted an offer.
Link: resume-tailor-ai-nine.vercel.app
Would love feedback from the HN community on the approach or tech stack!
Nice you want to level the playing field for candidates, but first impressions != authentic