ResumeRank — Local Resume Matching for 'Who is Hiring?' Posts
Automatically scan Hacker News 'Who is hiring?' threads and score each listing against your resume using a local model.
- Problem
- Job seekers spend hours browsing hundreds of comments in HN's 'Who is hiring?' threads each month, manually judging which roles match their resume. Someone built a tool to 'run locally and rank every hiring post against your resume,' confirming a real need that existing job tools rarely address for HN's unstructured comment stream.
- Solution
- A local CLI or simple web app that periodically scrapes HN's 'Who is hiring?' thread, parses each top-level comment into structured fields (company, location, tech stack, remote), then uses a local embedding model to compute semantic similarity with the user's uploaded resume, outputting a ranked list with filters.
- Users
- Software engineers, data scientists, and tech job seekers active on HN.
- MVP
- Scrape the latest 'Who is hiring?' thread; parse comments into structured fields; local embedding model for resume-match scoring; ranked output; keyword filtering and CSV export.
- Revenue
- Free basic tier; paid tier adds historical thread search, email alerts for new matches, and multi-resume comparison.
- Why now
- The tech job market is volatile, and HN remains a high-quality source. Local models (e.g., Ollama) enable privacy-friendly matching, letting an indie developer build and iterate quickly.