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Kanshi

AI inquiry filtering for personal and business websites

Kanshi uses AI and website context to filter fake, unrelated, scam, and spam inquiries before they waste your team's time.

Top comment

We all know captcha is easily passable by bots, but what if we look at submissions from a different perspective, based on, how are they related to your website? or to the form they are submitted on? this would allow to filter content on a higher level, as if a human being is reviewing the entries manually.

About Kanshi on Product Hunt

AI inquiry filtering for personal and business websites

Kanshi was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #128 on the daily leaderboard. Kanshi uses AI and website context to filter fake, unrelated, scam, and spam inquiries before they waste your team's time.

On the analytics side, Kanshi competes within Web App, Customer Communication and Artificial Intelligence — topics that collectively have 606.2k followers on Product Hunt. The dashboard above tracks how Kanshi performed against the three products that launched closest to it on the same day.

Who hunted Kanshi?

Kanshi was hunted by John Khamis. 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 Kanshi including community comment highlights and product details, visit the product overview.