Cheetah AI

✓ verified, sync 2026-08-20

10 checks on record, most recent 2026-10-26 (responded).

Community scorenot yet rated

First indexed2026-08-20

Observation record.

What was checked ourselves, with dates. Not vendor copy, not a rating.

Address confidence: low. The URL on file may not be Cheetah AI's own domain (for example a marketplace or parked host). The dates below describe checks against that URL; the link between that URL and Cheetah AI itself is not confirmed.

Most recent check 2026-10-26

Result: responded.

Checked on 10 distinct dates, since 2026-09-02. Checked roughly every 6 nights on this listing's own record.

2026-10-262026-10-252026-10-202026-10-142026-10-082026-10-022026-09-262026-09-202026-09-142026-09-02

What this means: the 3-miss rule marks a listing discontinued only after three consecutive failed checks; a bot-wall response never counts toward that streak. the methodology

Price events.

auto-diffed on every sync: the changelog other directories don't keep

The price was checked on 2026-10-25 and no change was observed since.

No approved price events on record

No approved price change is on record.

What it does.

The vendor's own description, unedited, not our claim.

The GitHub repository "leetcode-mafia/cheetah" is described as a Whisper and GPT-based app that helps users to "crush remote SWE interviews". It is a public repository that has gathered over 2.4k stars and 155 forks. The project is offered under the CC0-1.0 license, and it has been updated recently, with the latest commit done on April 26, 2023. The text in the GitHub page doesn't explain the functionality or how-to-use the app; however, it is likely aimed at software engineers and provides support for technical problem-solving during remote interviews. The app's use of Whisper and GPT in its description indicates that the application may use audio or audio-like features, alongside Generative Pre-trained Transformer or GPT for natural language processing. However, it is not entirely clear what this app truly does or how it works, and while the repository lists a few issues and pull requests, there does not appear to be any discussions or resources available to learn more. Overall, it seems like a promising tool for software engineers, but its current lack of explanation may make users hesitant to explore its benefits.

registry ID ndock:tool:cheetah-ai