Amazon Personalize is a machine learning service that makes it easy for developers to create individualized recommendations for customers using their applications.
“Real-time personalization and recommendation engine in AWS”
AWS Personalize launched on Product Hunt on June 11th, 2019 and earned 104 upvotes and 2 comments, placing #12 on the daily leaderboard. Amazon Personalize is a machine learning service that makes it easy for developers to create individualized recommendations for customers using their applications.
AWS Personalize was featured in Developer Tools (511.3k followers) and E-Commerce (41.4k followers) on Product Hunt. Together, these topics include over 81.5k products, making this a competitive space to launch in.
Who hunted AWS Personalize?
AWS Personalize was hunted by Aaron O'Leary. 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 AWS Personalize stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Aaron O'Leary