Live coaching app for remote SWE interviews, uses Whisper and GPT-4
Posting from a throwaway account to maintain privacy. This project is a salvo against leetcode-style interviews that require candidates to study useless topics and confidently write code in front of a live audience, in order to get a job where none of that stuff matters. Cheetah is an AI-powered macOS app designed to assist users during remote software engineering interviews by providing real-time, discreet coaching and integration with CoderPad. It uses Whisper for audio transcription and GPT-4 to generate hints/answers. The UI is intentionally minimal to allow for discreet use during…
In plain words
Cheetah is a macOS app that provides real-time coaching assistance during remote software engineering interviews. It uses Whisper for audio transcription and GPT-4 to generate hints and answers, with a minimal interface designed for discreet use during video calls. The app integrates with CoderPad and is intended to help candidates navigate technical interviews. It includes a Swift framework for real-time transcription on M1 and M2 Macs.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Posting from a throwaway account to maintain privacy. This project is a salvo against leetcode-style interviews that require candidates to study useless topics and confidently write code in front of a live audience, in order to get a job where none of that stuff matters. Cheetah is an AI-powered macOS app designed to assist users during remote software engineering interviews by providing real-time, discreet coaching and integration with CoderPad. It uses Whisper for audio transcription and GPT-4 to generate hints/answers. The UI is intentionally minimal to allow for discreet use during a video call. It was fun dipping into the world of LLMs, prompt chaining, etc. I didn't find a Swift wrapper for whisper.cpp, so in the repo there's also a barebones Swift framework that wraps whisper.cpp and is designed for real-time transcription on M1/M2. I'll be around if anyone has questions or comments!
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