FakeRadar.io protects your sensitive data by instantly detecting whether you’re speaking with a real person or a deepfake — in real time, with just one click. Stay confident in every conversation and be sure the person on screen is truly who they claim to be.
API for banks, governments & enterprises to provide large-scale fraud protection
We’d love your support, feedback, and ideas!
Try FakeRadar.io today and make sure every video call you make is with a real person.
About Fakeradar on Product Hunt
“Real-time deepfake protection for video calls”
Fakeradar launched on Product Hunt on September 26th, 2025 and earned 551 upvotes and 112 comments, earning #2 Product of the Day. FakeRadar.io protects your sensitive data by instantly detecting whether you’re speaking with a real person or a deepfake — in real time, with just one click. Stay confident in every conversation and be sure the person on screen is truly who they claim to be.
On the analytics side, Fakeradar competes within Fintech, Artificial Intelligence and Security — topics that collectively have 515.6k followers on Product Hunt. The dashboard above tracks how Fakeradar performed against the three products that launched closest to it on the same day.
Who hunted Fakeradar?
Fakeradar was hunted by Yaroslav Chuykov. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Yaroslav Chuykov
Hi Product Hunters!
I’m Artem Anikeev, founder of FakeRadar.io — a real-time deepfake detection tool for video calls.
Over the last 18 months, our team has built technology that instantly verifies whether the person on the other side of a call is real or fake.
How it works
Runs in real time during Zoom, Google Meet, Teams, Discord, and more.
No recordings, no audio access, no data stored — full privacy.
Detects deepfakes, static photos, and suspicious signals instantly.
Currently protects against 8 deepfake generators — and the number keeps growing.
Who it’s for?
Recruiters → avoid fake candidates in interviews.
Fintech & banks → verify high-risk clients.
Any team running video calls → protect against fraud.
Coming next
Voice deepfake detection & synthetic text analysis
A unified anti-fraud platform combining video, audio & text in real time
Adaptive learning system that auto-updates as new deepfake methods appear
Behavioral analytics: pauses, facial expressions, speech patterns
A global database of deepfake “fingerprints”
API for banks, governments & enterprises to provide large-scale fraud protection
We’d love your support, feedback, and ideas!
Try FakeRadar.io today and make sure every video call you make is with a real person.