Recuter
Overview
Recuter targets a speed problem in hiring: strong roles hit their applicant cap within minutes of posting, so a good fit can lose simply by applying late. The planned agent scores new postings against a candidate profile, tailors a resume and cover letter to each description, and submits through headless browser automation across LinkedIn, Indeed, Greenhouse, and Workday, with human-in-the-loop review for edge cases like CAPTCHAs. The public site is a static landing page with a Supabase-backed waitlist on Vercel; the agent is being built separately. The initial target market is GIS professionals, which ties the project back to my own field.
Stack
Features
- Relevance scoring of new postings against a candidate profile
- Automated resume and cover-letter tailoring per job
- Headless submission across LinkedIn, Indeed, Greenhouse, and Workday
- CAPTCHA handling with human-in-the-loop review
- Supabase-backed waitlist on a static Vercel landing page
Key Technical Challenge
Reliable, low-latency form automation across very different application portals, with CAPTCHA handling and human review so every submission stays accurate.