
Refined GitHub
GitHub for Mobile
GitHub for Atom
Board for Github
GitStreak
Commit Print
Commit Club
Now add co-authors to your commits

Copyleaks
Sentinel | Uptime Monitoring
Originality.AI
Vibe AI
Vibe App Scanner
VibeWrench
A local, offline digital forensics engine that exposes AI video deepfakes. It uses optical flow to visualize temporal hallucinations and pixel chaos. No cloud APIs. No data harvesting. Bring your own CPU and run the raw vector math.

Which is more popular?
Based on our record, Commit Together by Github seems to be more popular. It has been mentioned 1 time since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | github.blog | vibeaxis.com |
| Pricing | — | |
| Platforms | — | |
| Company | — | Startup from the United States · 1 - 9 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Commit Together by Github yet.
Most enterprise AI video detectors act as black boxes, requiring you to upload highly sensitive media to their servers just to get a probability score. VibeAxis Frame Ripper takes the opposite approach: it is a 100% local, offline forensic x-ray designed for OSINT researchers, journalists, and...
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


No analysis of Commit Together by Github yet.
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Commit Together by Github and VibeAxis Frame Ripper.
VibeAxis Frame Ripper's answer:
It’s a 100% local, offline forensic x-ray. Instead of pinging a black-box cloud API to guess if a video is real, it runs dense optical flow math on your own hardware to expose the exact frames where the temporal physics and pixels break.
VibeAxis Frame Ripper's answer:
Because our competitors are expensive B2B SaaS wrappers that harvest your sensitive files and spit out a random percentage score. We hand you the raw vector math and the actual timecode of the hallucination. We provide the telemetry; you provide the verdict.
VibeAxis Frame Ripper's answer:
OSINT researchers, journalists, digital forensics analysts, data hoarders, and anyone else who is sick of being gaslit by AI-generated slop.
VibeAxis Frame Ripper's answer:
I got tired of the tech giants flooding the internet with synthetic media and hyper-compressed garbage. You can't out-argue a trillion-dollar algorithm, so I built the offline tool I needed for my own sanity to prove what's real and what's fake.
VibeAxis Frame Ripper's answer:
Electron for the lightweight UI, and a pre-compiled Python background engine using OpenCV and NumPy to brute-force Farneback optical flow calculations via the CPU.
VibeAxis Frame Ripper's answer:
Independent OSINT researchers
Cybersecurity analysts
Digital archivists and data hoarders
People who hate AI slop
Share your experience with using Commit Together by Github and VibeAxis Frame Ripper. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


There is "Co-authored-by" which is supported on GitHub [1] and seems appropriate if the maintainer is basing the solution on someone's code. [1] https://github.blog/2018-01-29-commit-together-with-co-authors/. - Source: Hacker News / over 4 years ago
Tracking VibeAxis Frame Ripper since May 2026.
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