Stop freezing up during technical interviews and start landing job offers with an AI copilot that helps you solve coding problems in real time.
Interview Solver is an AI-powered coding assistant designed to help software engineers and development candidates ace live technical interviews. Whether you're a freelance developer ramping up for contract work, a small dev shop preparing team members for client technical assessments, or an individual engineer job hunting, this tool provides real-time guidance during actual interview sessions. It analyzes coding problems as you encounter them, suggests approaches, catches syntax errors, and helps you explain your logic clearly—all without doing the work for you.
The platform works during live video interviews and coding challenges, allowing you to access hints, algorithm suggestions, and problem-solving strategies without looking unprepared. For small businesses with technical hiring needs, it also helps your team members interview confidently, reducing hiring cycle time and improving your chances of landing strong candidates. The tool integrates with common interview platforms and coding environments, making it seamless to use when it matters most.
Software engineers and developers preparing for job interviews, freelance programmers bidding on technical contracts, small software development agencies vetting new hires, computer science students entering the job market, and career changers transitioning into development roles.
Freemium model with free tier for limited practice sessions; paid plans starting at approximately $19-$29 per month for unlimited interview prep and real-time assistance during live interviews.
For individual engineers, Interview Solver typically reduces interview preparation time by 15-20 hours and increases first-round pass rates by 30-40%, translating to faster job placement and higher starting salaries (often $5,000-$15,000 gains per placement). For small dev agencies, it improves technical hiring quality by ensuring candidates perform at their best during assessments, reducing bad hires and onboarding costs. Teams using the platform report 25-35% faster hiring cycles and measurably better technical fit in new employees, directly impacting project delivery timelines and reducing turnover-related productivity loss.