Rescomail

What users can do

• Upload resumes (PDF) and parse them into structured, machine-readable data
• AI-powered ATS intelligence pipeline utilizing semantic embeddings for predictive compatibility scoring
• Identify matched keywords and critical skill gaps against job requirements with RAG-grounded recruiter guidance
• Generate strengths, risks, and actionable rewrite suggestions per evidence gap
• Auto-generate dynamic cold emails enriched with real-time company web scraping (Tavily)
• Persist and browse full ATS analysis and cold outreach history per resume
• Seamless authentication (Email/Google OAuth) and robust session management via Better Auth
• Organization-level multi-tenancy with per-org subscription, billing, and credit usage tracking

Why I built this

I built Rescomail to help candidates understand why their resumes get filtered out by ATS systems before a human ever reads them. The goal was to provide an explainable, evidence-based scoring engine that surfaces concrete keyword gaps and rewrite opportunities, while also streamlining the outreach process through highly targeted, AI-generated cold emails.