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leetcode-mafia
cheetah
Swift2023–2024
leetcode-mafia / cheetah

cheetah

Mac app for crushing tech interviews with AI

AI & Machine LearningLearning & ReferenceMobile & Desktop
Explore on GitHubRead Hacker News discussions
2Distinct people
4Mentions
0Explicit recommenders
4.3KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

Mac app for crushing tech interviews with AI

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month4 dated mentions

Observed mentions: 2023-04-04 23:36:07 UTC to 2024-02-01 00:42:38 UTC.

0122023-04-01 00:00:00 UTC to 2023-05-01 00:00:00 UTC (exclusive): 2 mentions; 1 submissions, 1 commentsApr 20232023-05-01 00:00:00 UTC to 2023-06-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2023-06-01 00:00:00 UTC to 2023-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-07-01 00:00:00 UTC to 2023-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-08-01 00:00:00 UTC to 2023-09-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-09-01 00:00:00 UTC to 2023-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsSep 20232023-10-01 00:00:00 UTC to 2023-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-11-01 00:00:00 UTC to 2023-12-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-12-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-01 00:00:00 UTC to 2024-02-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-02-01 00:00:00 UTC to 2024-03-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsFeb 2024

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Apr 20232023-04-01 00:00:00 UTC2023-05-01 00:00:00 UTC211
May 20232023-05-01 00:00:00 UTC2023-06-01 00:00:00 UTC101
Jun 20232023-06-01 00:00:00 UTC2023-07-01 00:00:00 UTC000
Jul 20232023-07-01 00:00:00 UTC2023-08-01 00:00:00 UTC000
Aug 20232023-08-01 00:00:00 UTC2023-09-01 00:00:00 UTC000
Sep 20232023-09-01 00:00:00 UTC2023-10-01 00:00:00 UTC000
Oct 20232023-10-01 00:00:00 UTC2023-11-01 00:00:00 UTC000
Nov 20232023-11-01 00:00:00 UTC2023-12-01 00:00:00 UTC000
Dec 20232023-12-01 00:00:00 UTC2024-01-01 00:00:00 UTC000
Jan 20242024-01-01 00:00:00 UTC2024-02-01 00:00:00 UTC000
Feb 20242024-02-01 00:00:00 UTC2024-03-01 00:00:00 UTC101

What Hacker News says

4 sources
leetcode-mafia·Apr 4, 2023Submission

Show HN: 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 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/M
Read the rest
2. I'll be around if anyone has questions or comments!
301 points · Open discussion

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