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Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.

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Diopter detects AI social engineering in real time on every video and voice call, stopping wire fraud, fake candidates, and help desk takeovers.

Which is more popular?
Based on our record, GitHub seems to be more popular. It has been mentioned 2484 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | github.com | diopter.ai |
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| Company | Startup from the United States · 500 - 999 employees · 2008 | Startup from the United States · 10 - 19 employees · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of GitHub yet.
Diopter detects AI deepfakes and social engineering on live video and voice calls. What it does Diopter scores every participant on a call continuously, not only at the start, and turns four signals into one recommended action: Video deepfake detection: synthetic and manipulated video, scored per...
What each product offers, as listed by its team.


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


Overall verdict
Why this product is good
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No analysis of Diopter yet.
Walkthroughs and reviews on video.
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing GitHub and Diopter.
Diopter's answer:
Diopter scores the live call, not a file after the fact. Most detection tools ask you to upload media and wait for a verdict. Diopter runs alongside a Zoom, Microsoft Teams, Google Meet or Webex call and scores every participant continuously for the full length of the call, including someone who is not speaking.
It also combines four signals rather than one. Video deepfake detection, audio deepfake detection, identity and payment verification, and policy alignment resolve into a single recommended action, so a security or finance team gets one decision rather than four dashboards.
The verdicts are deliberately honest. Bands are AI, mixed, clean and inconclusive, each with a confidence level rather than a flat yes or no. If a call could not be fully checked, Diopter reports that rather than defaulting to clean. It does not identify who is speaking, uses no voiceprints or enrollment, and never treats accent, region or language as a signal.
Diopter's answer:
Because the attack happens on the call, and that is where Diopter works.
Identity verification tools check a person once, usually at onboarding or account recovery. That does nothing for a wire approval call three months later where the person on screen is a deepfake. Single-frame or file-based detectors judge a moment of media rather than the conversation shaping the ask.
Diopter runs for the whole call and scores every participant continuously, on Zoom, Microsoft Teams, Google Meet and Webex, and on VoIP and conference phone calls through Zoom Phone, Teams Phone, RingCentral and Dialpad. It combines synthetic media detection with identity and payment verification and policy alignment, then returns one recommended action.
It is also straightforward to deploy and clear about its limits. No caller-side install, works with a meeting bot or bot-free, on-prem and hybrid supported, configurable retention including zero data retention, and rollout through existing MDM such as Intune and Jamf. SOC 2 Type II in progress.
Diopter's answer:
Security and fraud teams at organisations where a phone or video call can move money, grant access or hire someone.
The people who buy and run it are CISOs and security operations, fraud operations, and IT. The people it protects usually sit elsewhere in the business: finance and treasury staff approving wires, accounts payable teams handling vendor payment changes, recruiters and hiring managers interviewing candidates, executive assistants fielding urgent requests, and IT help desk agents resetting credentials.
The common thread is a live conversation where someone is asking for something consequential and the only proof of who they are is their face or their voice.
Diopter's answer:
Diopter was founded in April 2026 by Rohan Gupta and Jeremy Pippin, after they watched generative AI move from productivity use cases into impersonation, fraud and social engineering.
Both came from QuillBot, where Rohan was founder and CEO of a generative AI company with more than 35 million monthly users, and Jeremy was VP of Product, having previously held the same role at FanDuel. They had spent years on the building side of generative AI and could see how cheap and scalable the attack had become while defence stayed expensive and manual.
The belief that shaped the product is that fraud is rarely detectable from a single frame or voice sample. It unfolds across a conversation, so the arc is the unit of analysis: authority, urgency, isolation, escalation and the ask, scored continuously through a live call.
The company is based in Chicago, Illinois.
Share your experience with using GitHub and Diopter. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


GitHub is an essential platform for modern software development. It makes it easy to host, manage, and collaborate on code while providing powerful tools for version control, project management, and team...
GitHub Discussions is a communication forum for the community around an open source or internal project. Discussions enable fluid, open conversation in a public forum. Discussions are transparent and accessible, but...
However, like any (human) product, the platform has its limits, downsides, and critics. GitHub has been barred by certain governments, and even if that isn’t exactly the company’s fault, the users are the ones limited...
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Recommendations tracked on public social media and blogs since March 2021.


For developers who cannot access Fable 5, Claude Opus 4.8 offers the best alternative. Integrating this model into your daily workflow is straightforward, especially when using modern development platforms like GitHub for repository... - Source: dev.to / 27 days ago
1228 push attempts died with fatal: could not read Username for 'https://github.com' — an https remote with no credential helper and no stored Credentials. First one 2026-07-21T20:48:03Z, still failing as I write this. Thirty-nine Days. - Source: dev.to / 12 days ago
They can include the protocol, it’s that regardless of what’s put in there it’ll use https, which is explained with examples both in the following sentences and then in more detail in a linked doc. > For repositories on GitHub, GitLab,... - Source: Hacker News / 15 days ago
Tracking Diopter since Sep 2026.
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