About Apple Machine Learning Journal on Product Hunt
“A blog written by Apple engineers”
Apple Machine Learning Journal launched on Product Hunt on July 19th, 2017 and earned 606 upvotes and 27 comments, earning #1 Product of the Day.
On the analytics side, Apple Machine Learning Journal competes within Web App, Developer Tools, Artificial Intelligence, Tech and Apple — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how Apple Machine Learning Journal performed against the three products that launched closest to it on the same day.
Who hunted Apple Machine Learning Journal?
Apple Machine Learning Journal was hunted by Ryan Hoover. 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.
Reviews
Apple Machine Learning Journal has received 51 reviews on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.
For a complete overview of Apple Machine Learning Journal including community comment highlights and product details, visit the product overview.
Ryan Hoover