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.
Apple Machine Learning Journal was featured in Web App (121.8k followers), Developer Tools (511k followers), Artificial Intelligence (466.2k followers), Tech (621.5k followers) and Apple (15.4k followers) on Product Hunt. Together, these topics include over 353.6k products, making this a competitive space to launch in.
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.
Want to see how Apple Machine Learning Journal stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Ryan Hoover