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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Mac app for crushing tech interviews with AI
| Date | Stars |
|---|---|
| 2026-07-24 | 4261 |
| 2026-07-25 | 4260 |
| 2026-07-28 | 4260 |
| 2026-07-30 | 4261 |
| 2026-08-06 | 4261 |
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# Cheetah Cheetah is an AI-powered macOS app designed to assist users with software engineering interview practice. It provides real-time coaching and live coding platform integration. [Quick demo video (1:28)](https://user-images.githubusercontent.com/106342593/229961889-489e2b36-f3e6-453a-9784-f160bc1c4f8d.mp4) <img src="https://github.com/leetcode-mafia/cheetah/raw/91cc5b89864fe28476a7e2062ede2c8322c17896/cheetah.jpg" alt="Screenshot"> ## How it works Cheetah leverages Whisper for real-time audio transcription, and GPT-4 for generating hints and solutions. You need to have your own OpenAI API key to use the app. Whisper runs locally on your system, utilizing Georgi Gerganov's [whisper.cpp](https://github.com/ggerganov/whisper.cpp). A recent Mac with Apple silicon is required for optimal performance. ## Getting started ### Prerequisites Requires macOS 13.1 or later. To build Cheetah, [whisper.cpp](https://github.com/ggerganov/whisper.cpp) must be checked out in `../whisper.cpp`, and the SDL2 library must be installed: ```shell brew install sdl2 ``` ### Audio driver setup For the best results, ensure the audio input captures both sides of the conversation. When using a video chat app like Zoom or Google Meet, you can achieve this with [BlackHole](https://existential.audio/blackhole/), a free audio loopback driver. Follow the instructions for setting up a [Multi-Output Device](https://github.com/ExistentialAudio/BlackHole/wiki/Multi-Output-Device), and remember not to use the loopback device as input for the video chat app. ### App overview Open the app and select an audio input to start live transcription. A snippet of the transcription will be displayed under the audio input selector. *Note:* running the app in debug mode will result in very slow audio transcription performance. The UI features three buttons: **Answer:** Generates an answer for the interviewer's question. **Refine:** Updates the existing answer, useful for when the interviewer provides additional constraints or clarification. **Analyze:** Analyzes code and logs from the live coding environment in your web browser. Requires the browser extension. You can also select (highlight) a portion of a generated answer and click Refine to get more detail. ### Installing the browser extension Currently, only Firefox is supported. Follow these steps to install the extension: 1. Add the domain of the live coding platform to `matches` in ./extension/manifest.json 2. Go to [about:debugging](https://firefox-source-docs.mozilla.org/devtools-user/about_colon_debugging/index.html) 3. Click "This Firefox" 4. Click "Load Temporary Add-on" 5. Select ./extension/manifest.json ## Disclaimer Cheetah is intended for use in mock interviews only. It may generate incorrect or inappropriate solutions. Users take full responsibility for the information provided by the app.
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matched fp:34c5e2bb921fc4ce, topic:whisper, readme:transcription
matched fp:34c5e2bb921fc4ce, topic:gpt
matched fp:34c5e2bb921fc4ce, topic:chatgpt