cheetah
Free3.8k
FreeFree tier
Inputs: audioOutputs: text
About cheetah
Cheetah is an open-source macOS application designed to assist users with software engineering interview practice. It leverages AI to provide real-time coaching and integrates with live coding platforms. The app uses Whisper for local audio transcription and GPT-4 to generate hints and answers, requiring the user to supply their own OpenAI API key. It is optimized for Apple Silicon Macs running macOS 13.1 or later and is built with whisper.cpp for efficient local transcription.
Key Features
Real-time audio transcription using Whisper (runs locally)
AI-powered hints and solutions via GPT-4
Live coding platform integration
macOS native app (requires macOS 13.1+)
Open-source codebase available on GitHub
Optimized for Apple Silicon Macs
Pros & Cons
Pros
- Open-source and free to use (requires own OpenAI API key)
- Local audio transcription with Whisper enhances privacy
- Designed specifically for interview preparation
- Leverages GPT-4 for high-quality hints and solutions
Cons
- Requires macOS 13.1 or later and Apple Silicon for optimal performance
- Users must provide their own OpenAI API key (costs may apply)
- Setup involves building from source and installing dependencies (e.g., SDL2, whisper.cpp)
- Audio driver setup (e.g., BlackHole) may be needed for capturing both sides of conversation
- Debug mode results in very slow transcription performance
Best For
Practicing software engineering interview questionsReceiving real-time coaching during mock interviewsGetting AI-generated hints for coding problemsIntegrating with live coding platforms for simulated interviews
FAQ
What hardware is required to run Cheetah?
Based on the repository, Cheetah requires a Mac with Apple Silicon and macOS 13.1 or later for optimal performance.
Do I need an OpenAI API key to use Cheetah?
Yes, the app requires your own OpenAI API key to generate hints and solutions via GPT-4.
Is Cheetah free to use?
The app is open-source and free, but users must cover their own OpenAI API usage costs, which may incur charges.
How does Cheetah handle audio transcription?
Cheetah uses Whisper for real-time audio transcription, which runs locally on your Mac via whisper.cpp.
Can Cheetah be used with video conferencing tools?
The documentation suggests using an audio loopback driver like BlackHole to capture both sides of a conversation from apps like Zoom or Google Meet.
Is Cheetah available for Windows or Linux?
Based on available information, Cheetah is a macOS-only app and does not appear to support other operating systems.