We're a startup out of MIT aimed at optimizing Databricks and Apache Spark workloads on the cloud. We hope our new tool, Gradient, can help data engineers quickly optimize their cloud infrastructure so they can move onto actual data engineering work!
About Gradient on Product Hunt
“Databricks optimization made easy”
Gradient launched on Product Hunt on June 20th, 2023 and earned 74 upvotes and 6 comments, placing #62 on the daily leaderboard. Gradient is a tool to help data engineers optimize their Databricks clusters to hit their SLAs at the lowest cost.
On the analytics side, Gradient competes within Data & Analytics — topics that collectively have 5.6k followers on Product Hunt. The dashboard above tracks how Gradient performed against the three products that launched closest to it on the same day.
Who hunted Gradient?
Gradient was hunted by Jeff Chou. 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 Gradient including community comment highlights and product details, visit the product overview.
Jeff Chou