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Product upvotes and comments

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Product vs the next 3

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Reactive Search

UI components for building Amazon / Yelp like Search

Reactive Search is a data-driven UI components library for building search UIs

About Reactive Search on Product Hunt

UI components for building Amazon / Yelp like Search

Reactive Search launched on Product Hunt on April 12th, 2017 and earned 234 upvotes and 13 comments, placing #7 on the daily leaderboard. Reactive Search is a data-driven UI components library for building search UIs

On the analytics side, Reactive Search competes within Web App, Design Tools, Open Source, Developer Tools and Tech — topics that collectively have 1.6M followers on Product Hunt. The dashboard above tracks how Reactive Search performed against the three products that launched closest to it on the same day.

Who hunted Reactive Search?

Reactive Search was hunted by Jack Smith. 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 Reactive Search including community comment highlights and product details, visit the product overview.