MissingLink helps data scientists and engineers streamline and automate the entire deep learning cycle. It eliminates grunt work associated with the machine learning process and accelerates the time it takes to train and deliver effective models.
About MissingLink on Product Hunt
“Deep learning automation for engineers”
MissingLink launched on Product Hunt on September 25th, 2018 and earned 147 upvotes and 11 comments, placing #9 on the daily leaderboard. MissingLink helps data scientists and engineers streamline and automate the entire deep learning cycle. It eliminates grunt work associated with the machine learning process and accelerates the time it takes to train and deliver effective models.
On the analytics side, MissingLink competes within API, Developer Tools and Artificial Intelligence — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how MissingLink performed against the three products that launched closest to it on the same day.
Who hunted MissingLink?
MissingLink was hunted by Ryan Lawler. 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.
For a complete overview of MissingLink including community comment highlights and product details, visit the product overview.
Ryan Lawler