“Flexible hosted recommendation API with programmatic control”
Algolia Recommend launched on Product Hunt on July 8th, 2021 and earned 204 upvotes and 25 comments, placing #8 on the daily leaderboard. A robust & flexible API to build unique product recommendations into any digital ecommerce experience.
Algolia Recommend was featured in User Experience (364.8k followers), Developer Tools (511.3k followers), Artificial Intelligence (466.7k followers) and E-Commerce (41.4k followers) on Product Hunt. Together, these topics include over 199.3k products, making this a competitive space to launch in.
Who hunted Algolia Recommend?
Algolia Recommend was hunted by Sylvain Utard. 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.
Want to see how Algolia Recommend stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Sylvain Utard