What is Interview Solver?
Interview Solver is an AI interview copilot for candidates facing coding, system design, and other interview questions. Its desktop app can analyze screenshots and transcribe system or microphone audio, while a mobile option provides live microphone transcription and answers in a phone browser. Candidates can also upload resumes or technical documents for answer references. The tool is aimed at people who want AI assistance during interview sessions, including software engineering and product management interviews.
Interview Solver Features:
Screenshot Solutions: Capture a coding problem from a window and send it to the AI for an approach, complexity analysis, and code.
Audio Transcription: Transcribe system and microphone audio, including both the candidate's voice and the interviewer's questions.
Mobile Answers: Use a phone browser to transcribe questions through its microphone and request answers on a range of topics.
Companion Controls: Use a phone as a second screen and remotely control screenshots, voice input, and prompts.
Document References: Upload a resume, project documents, or technical materials and ask for answers based on those files.
Interview Display: The desktop app offers a mode intended to remain invisible during screen sharing, along with transparency and global hotkeys.
Interview Solver Benefits:
Faster Problem Starts: Having an approach, complexity analysis, and code generated from a screenshot can help candidates move from reading a coding prompt to considering a solution.
Less Context Switching: Global hotkeys and remote controls let candidates request assistance without relying on repeated window switching or moving the mouse.
Relevant Responses: Answers based on uploaded resumes and project materials can draw on a candidate's own experience rather than relying only on general context.
Flexible Setup: Desktop, phone, and companion options give candidates different ways to receive assistance depending on the device they have available.
Question Coverage: Audio transcription and support for coding, system design, and other topics can help candidates handle more than written coding prompts.
Use Cases:
Live Coding Round: Use a screenshot of a LeetCode-style prompt to request a solution during a software engineering coding interview.
System Design Interview: Get assistance with a system design question through the desktop app while working through the discussion.
Spoken Interview Questions: Use audio transcription and responses when an interviewer asks a question aloud rather than sharing a written prompt.
Phone-Based Assistance: Keep the desktop app closed and use the mobile browser to hear a question and request an answer on your phone.
Experience-Based Answers: Reference an uploaded resume or project document when preparing a response about your past work or technical materials.

