intervu.dev
Description
intervu.dev is an AI-driven platform designed to help software engineers bridge the gap between solving LeetCode problems and passing real-world technical interviews. It provides a realistic FAANG-style mock interview environment where an AI interviewer probes your thinking with follow-up questions. Users can code live in multiple languages (Python, JS, Java, C++) while practicing 'thinking out loud.' The system evaluates not just code correctness, but also communication clarity, trade-offs, and design patterns, providing actionable feedback to improve interview performance.
Features
- AI Interviewer That Probes: Probing questions and follow-ups that test how you think — like a real interviewer.
- Code Live Under Pressure: Write, run, and debug code in real time while explaining your approach.
- Real Interview Flow: Clarify, design, code, and test, exactly how FAANG interviews run.
- Signal-Based Evaluation: Feedback on clarity, trade-offs, and code quality — not just correctness.
- Train Interview Communication: Build the muscle memory to think out loud and justify decisions clearly.
- Multi-Language Support: Interview in Python, JavaScript, Java, C++, and more.
Team
- ANBMZ LLC - Founder
FAQ
What is a mock coding interview?
A mock coding interview simulates a real technical interview, evaluating not only problem correctness but also communication, approach, trade-offs, code quality, and testing.
Is intervu.dev suitable for FAANG interview preparation?
Yes. intervu.dev is designed to simulate FAANG-style technical interviews, including clarifying questions, structured interview flow, live coding and testing, and feedback on interview signal.
How is this different from LeetCode?
LeetCode is primarily for practicing problem solutions. intervu.dev focuses on practicing the full interview experience—thinking out loud, clarifying requirements, coding under constraints, testing, and communicating trade-offs.
Technologies
HTML, Next.js, PostgreSQL
Tags
Recruiting, Voice
