Welcome to DeepGuard, your second pair of eyes online! Whether you’re fact-checking something serious or unsure about a viral clip, just upload or paste a link to get a clear, thoughtful verdict. Spot deepfakes and understand what’s real or not, fast.
👋 Hey Builders and Hunters!
We’re the makers of DeepGuard, a simple way to find out if a video is fake… or not.
Because let’s be honest, how do you actually know what’s real on the internet anymore?
It started with a moment of doubt. A wild video was going viral, and we sat there wondering: “Did this really happen? Or was it cooked up by AI?”
We searched for a tool to check. Nothing felt trustworthy. Nothing was built for regular people. So, we made one.
Right now, you can sign up and try DeepGuard using 3 built-in sample videos: political clips, public speeches, and everyday moments.
It’s clean, fast, and gives you an instant verdict:
Real or Deepfake. Simple as that.
🧠 How it works:
• Sign up to access the app (you’ll be marked as an early supporter)
• Choose one of the sample videos
• Run the analysis with one click
• In seconds, you’ll get a clear verdict and visual breakdown
🔥 What’s special?
There’s a lot going on behind the scenes, detection layers, smart cues, and pattern analysis - but the experience stays focused, friendly, and easy to use.
We think of DeepGuard as the “Shazam for fake videos.”
One tap. One answer. So you don’t have to second-guess what you’re watching.
⚡ Full launch: July 17, 2025
That’s when uploads, sharing, and subscriptions go live.
And yes - everyone who signs up now will get exclusive perks on launch day, just for being early.
We’d love to hear what you think. Try it out, run a sample, and share your thoughts.
Excited to have you here 😁💚
@danischenker Great question! DeepGuard analyzes both the video itself and related web context. On the video side, we use multiple agents to detect things like motion inconsistencies, visual artifacts, and manipulation patterns. At the same time, we gather signals from the web, such as where the video has appeared, how it’s being used, and whether similar versions exist. The final verdict combines both layers for a more reliable result!
@lucianb Thanks for the insights. Although, you didn't really answer my question. Of course, you could just say that you don't have an answer ;-) I was looking for a percentage. Or maybe, how many false positives you get... or what ever...
@danischenker Right now, we don’t publicly show a fixed accuracy % because DeepGuard works across multiple layers, pure video analysis and contextual web signals, and the outcome can vary depending on the input :)
That said, in internal tests, DeepGuard has shown around 87–92% accuracy across a wide range of deepfake samples, especially those involving subtle manipulations that are hard to catch by eye. We’re continuing to refine and stress-test it, and by July 17, we’ll be sharing more detailed benchmark data, including false positive/negative rates! Stay tuned :)
This directly travelled to my collection "interesting" in the Product Hunt bookmarks. BTW, which tools do you think create the most authentic AI videos?
P.S. I tried to upload the video, but the button doesn't react :/
+ one suggestion on the landing page. I would personally use the different CTA instead of launching the app. E.g. "test video"
@busmark_w_nika Thank you for adding it to your collection! 🙌 There are generally two kinds of deepfakes we’re seeing out there, the visually impressive ones , like Sora, Pika, and Runway! They’re amazing at generating cinematic realism, but usually easy to spot if you’re paying attention. On the other hand, the more subtle ones, often created with tools like DeepFaceLab or by editing real footage, are much harder to detect. That’s exactly the kind we built DeepGuard to catch :)
P.S You’re totally right, there’s no upload function just yet. For now, you can just click on any of the sample videos and run a test that way! Also, really appreciate the CTA tip! We’ll take a closer look at that.
DeepGuard
Augmented Reality 2021
How accurate is this? And how do you know?
DeepGuard
@danischenker Great question! DeepGuard analyzes both the video itself and related web context. On the video side, we use multiple agents to detect things like motion inconsistencies, visual artifacts, and manipulation patterns. At the same time, we gather signals from the web, such as where the video has appeared, how it’s being used, and whether similar versions exist. The final verdict combines both layers for a more reliable result!
Augmented Reality 2021
@lucianb Thanks for the insights. Although, you didn't really answer my question. Of course, you could just say that you don't have an answer ;-) I was looking for a percentage. Or maybe, how many false positives you get... or what ever...
DeepGuard
@danischenker Right now, we don’t publicly show a fixed accuracy % because DeepGuard works across multiple layers, pure video analysis and contextual web signals, and the outcome can vary depending on the input :)
That said, in internal tests, DeepGuard has shown around 87–92% accuracy across a wide range of deepfake samples, especially those involving subtle manipulations that are hard to catch by eye. We’re continuing to refine and stress-test it, and by July 17, we’ll be sharing more detailed benchmark data, including false positive/negative rates! Stay tuned :)
This directly travelled to my collection "interesting" in the Product Hunt bookmarks. BTW, which tools do you think create the most authentic AI videos?
P.S. I tried to upload the video, but the button doesn't react :/
+ one suggestion on the landing page. I would personally use the different CTA instead of launching the app. E.g. "test video"
DeepGuard
@busmark_w_nika Thank you for adding it to your collection! 🙌 There are generally two kinds of deepfakes we’re seeing out there, the visually impressive ones , like Sora, Pika, and Runway! They’re amazing at generating cinematic realism, but usually easy to spot if you’re paying attention. On the other hand, the more subtle ones, often created with tools like DeepFaceLab or by editing real footage, are much harder to detect. That’s exactly the kind we built DeepGuard to catch :)
P.S You’re totally right, there’s no upload function just yet. For now, you can just click on any of the sample videos and run a test that way!
Also, really appreciate the CTA tip! We’ll take a closer look at that.