I’ve been working on a project to solve a problem I had with mock interview platforms: they don’t feel real. The biggest factor is that they let you give perfect, rehearsed answers without interruption. Real interviews are dynamic conversations.
I created CleverMock, an AI-powered voice interviewer for software engineers. The core differentiator is a feature that simulates a real interviewer's behavior by interrupting the user's answers to ask clarifying questions or redirect the conversation, based on what it's hearing.
It uses a pipeline of speech-to-text, LLMs for conversational logic, and text-to-speech to create a fluid, real-time interview session. You can specify the company and role to get tailored system design and behavioral questions. After a 45-minute session, it generates a detailed scorecard on your performance.
It’s currently in beta and free for early users. I’m looking for feedback on the core "interruption" mechanic and the quality of the questions/feedback.
kamindu•1h ago
devinda-dilshan•1h ago