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Fake Review Detector
Instant detect fake or incentivized product reviews with AI
Anyone else dealing with fake reviews? Built a small tool that runs a review through AI and spits out whether it's likely fake or not. Gives you a score, a verdict, and the reasons it flagged it. Free to try, no signup needed on your end — just hit the API with a review and you get results back in seconds. Link: https://rapidapi.com/flusnot/api/fake-review-detector1
I kept seeing obviously fake reviews everywhere and couldn't find a simple programmatic way to flag them. Most solutions were either manual or buried in big expensive platforms.
So I built a simple API that takes any review text, runs it through AI, and returns a fake score from 0-100, a verdict, and the specific reasons it flagged it. Developers can plug it straight into their apps or review pipelines.
Free tier available to try it out. Would love any feedback!
About Fake Review Detector on Product Hunt
“Instant detect fake or incentivized product reviews with AI”
Fake Review Detector was submitted on Product Hunt and earned 1 upvotes and 1 comments, placing #439 on the daily leaderboard. Anyone else dealing with fake reviews? Built a small tool that runs a review through AI and spits out whether it's likely fake or not. Gives you a score, a verdict, and the reasons it flagged it. Free to try, no signup needed on your end — just hit the API with a review and you get results back in seconds. Link: https://rapidapi.com/flusnot/api/fake-review-detector1
On the analytics side, Fake Review Detector competes within Developer Tools, Artificial Intelligence and E-Commerce — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Fake Review Detector performed against the three products that launched closest to it on the same day.
Who hunted Fake Review Detector?
Fake Review Detector was hunted by flusnot. 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.
For a complete overview of Fake Review Detector including community comment highlights and product details, visit the product overview.