Hey PH community 👋! I'm Gabriel, founder of KeaML.
Today is super exciting for us! A year ago, we launched KeaML, stepping into the realm of Cloud Development Environments for machine learning. And guess what? We’re back, and this time we bring you Kea Deployments!
Diving into AI and spending 8 years in it, I’ve experienced firsthand the gritty challenges of pushing models into production. It's a tough nut to crack, isn’t it?
That’s where Kea Deployments swings into action. Our goal? To streamline the deployment process, allowing us, the data scientists and ML engineers, to pour our energy into sculpting extraordinary models without being tied down by the intricate layers of infrastructure.
Drawing inspiration from the sleek simplicity that platforms like Vercel shower on the frontend world, Kea is here to redefine the deployment experience in the ML landscape. We are geared up, supporting Scikit Learn models, and guess what’s on the horizon? Transformers, Pytorch, and TensorFlow are gearing up to join the Kea family! 🚀
Jump in and kickstart your journey with our free tier! And here’s a cherry on top — use the code PH1MO to unlock a free month on our paid tiers!
Your feedback is the north star guiding KeaML’s evolution and what we are actually want to get from this launch. I’m all ears for your insights, suggestions, and thoughts. So, hop in, explore Kea Deployments, and let’s carve the future of ML deployments together!
Cheers,
Gabriel
About KeaML Deployments on Product Hunt
“Deploy machine learning models with one line of code”
KeaML Deployments launched on Product Hunt on November 1st, 2023 and earned 88 upvotes and 25 comments, placing #13 on the daily leaderboard. Experience a seamless AI development journey with KeaML, as we empower you through all stages — develop, train, and deploy.
On the analytics side, KeaML Deployments competes within SaaS, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how KeaML Deployments performed against the three products that launched closest to it on the same day.
Who hunted KeaML Deployments?
KeaML Deployments was hunted by Gabriel Obaldia. 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.
Gabriel Obaldia