About Universal Recommender on Product Hunt
“Open source recommendation engine on Spark + Elasticsearch”
Universal Recommender launched on Product Hunt on August 5th, 2015 and earned 75 upvotes and 2 comments, placing #35 on the daily leaderboard.
Who hunted Universal Recommender?
Universal Recommender was hunted by Thomas R Stone. 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 Universal Recommender stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.