Rapha

Rapha is an asynchronous applicant tracking system (ATS) designed to shift the hiring process away from traditional resumes and LinkedIn profiles toward audio-based candidate evaluation. The platform enables recruiters, founders, hiring managers, and agencies to capture both hard skills and culture fit through voice responses submitted by applicants. Instead of scanning text-based documents or scheduling initial phone screens, hiring teams can ask candidates to answer behavioral, technical, sales, design, or product-related questions in recorded audio clips. This allows applicants to present themselves in their own words and demonstrate communication ability, problem-solving approach, and personality—factors that are difficult to assess from a written resume alone. The system also facilitates early-stage consensus building within the hiring team. Once candidates submit their audio answers, team members can listen, comment, and discuss the narratives asynchronously, making it possible to skip the traditional first-round phone call entirely or redefine what that call should cover. This reduces the time spent on repetitive screening conversations and helps teams align on candidate fit before committing to a live interview. Rapha further supports recruiters with an AI assistant that can help draft job descriptions, suggest relevant questions based on the role, and streamline the setup process for each new position. By eliminating the need for manual resume parsing and synchronous phone screens, the platform aims to save hiring teams up to 50 hours per week—time that can be redirected toward deeper candidate engagement or other strategic priorities. The service is free to try, with features such as customizable question sets, team collaboration tools, and a dashboard to trac