Preper
Preper is an AI-driven interview preparation platform that helps job seekers build STAR story banks and practice with voice or video mock interviews. The platform scores responses against company-specific rubrics for Amazon, Google, Meta, and 20+ employers, providing detailed analytics and full transcripts after each session.
- Artificial Intelligence
- Education Technology
- AI Agents
- Software Only
- Data & Analytics
Funding
Founders
Founder details are not available yet.
Product
Problem
Job candidates preparing for behavioral interviews often struggle to structure compelling stories and lack access to realistic, company-specific practice environments. Generic interview prep resources fail to provide the personalized feedback and repetition needed to build confidence and perform well under pressure.
Solution
Preper provides an AI-driven interview preparation platform that guides candidates through a structured three-phase framework: Prepare, Practice, and Progress. Users can build STAR (Situation, Task, Action, Result) stories using an AI story builder or manual entry, then practice through voice or video mock interviews with AI recruiters who ask company-specific questions and challenge vague answers. The platform evaluates each response against rubrics from major companies like Amazon, Google, and Meta, delivering category scores, strengths, and improvement areas. After each session, users receive a full transcript and adaptive follow-up questions to refine their delivery and content, turning every practice session into a measurable improvement cycle.
Target Audience
Primary users are job seekers preparing for behavioral interviews at competitive technology and consulting companies, including recent graduates, career switchers, and mid-career professionals targeting roles at firms like Amazon, Google, and Meta.
Features
- AI Story Builder that helps users create structured STAR stories and converts them into concise talking points
- Voice and video mock interviews with AI interviewers that adapt follow-up questions based on user responses
- Company-specific question banks and scoring rubrics for Amazon, Google, Meta, and 20+ other employers
- Detailed performance analytics including category scores, strengths, and improvement areas with full session transcripts
- Story Editor for manual story creation and refinement within a structured STAR framework
- Credit-based system for adding practice sessions, with credits that never expire