Build, train and track all of your machine learning project metadata including ML models and datasets with semantic versioning, extensive artifact logging and dynamic reporting with local↔cloud training.
About Layer AI on Product Hunt
“Metadata store for production ML”
Layer AI launched on Product Hunt on May 7th, 2022 and earned 120 upvotes and 5 comments, earning #3 Product of the Day. Build, train and track all of your machine learning project metadata including ML models and datasets with semantic versioning, extensive artifact logging and dynamic reporting with local↔cloud training.
On the analytics side, Layer AI competes within GitHub, Tech and Data Science — topics that collectively have 666.4k followers on Product Hunt. The dashboard above tracks how Layer AI performed against the three products that launched closest to it on the same day.
Who hunted Layer AI?
Layer AI was hunted by Derrick Mwiti. 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 Layer AI including community comment highlights and product details, visit the product overview.
Derrick Mwiti