Launching today
Kuberns
The AI agent that deploys and manages your cloud
99 followers
The AI agent that deploys and manages your cloud
99 followers
Kuberns is an agentic AI platform that deploys your projects in minutes, unlike Vercel, Render, or Heroku, which still need manual setup. Connect your GitHub repo, click deploy, and an AI agent handles infrastructure, deployment, and cloud operations automatically. Built for developers, startups, and teams who want to ship faster, with no per-user pricing.
Hey Product Hunt 👋
I'm Harsh, co-founder of Kuberns, building out of India with my co-founder Jevin.
We just launched Kuberns, an agentic AI platform that deploys your project and manage cloud for you.
It is an agentic AI alternative to platforms like Heroku, Render, and Vercel. Instead of setting things up and managing them yourself, the AI agent does that part for you.
The idea for Kuberns came from something we kept running into ourselves. We'd build an app, feel great about how fast we'd built it, and then hit a wall the moment it was time to actually put it live. Every single time, it was the same routine: setting things up from scratch, configuring them correctly, and then keeping an eye on them so they didn't break once real users showed up. It never got faster, no matter how many times we did it.
Most teams either spend hours doing it manually or end up hiring someone just to handle that part. For small teams and solo builders, that's a lot of time and money spent on something that isn't the actual product.
But now Kuberns takes care of deployment for you, from start to finish.
You connect your GitHub repo, click deploy, and an AI agent takes it from there. It builds your app, sets everything up so it can run, puts it live, and then keeps watching it and adjusting as more people start using it. You don't set anything up manually, and you don't need to know anything technical about servers or infrastructure to make it happen.
On platforms like Heroku, Render, or Vercel, you're still the one doing the setup and keeping things running. With Kuberns, the AI agent does that part for you. It also doesn't charge per user, so your costs don't quietly grow just because your team or your user base does.
To celebrate launching on Product Hunt, we're giving this community 20% off. Use code PH20OFF at checkout.
This is our first Product Hunt launch, and we'd genuinely love your feedback over anything else: what makes sense, what doesn't, what would actually make you want to try it. Not looking for upvotes, just honest thoughts.
Thank you to the Kuberns team for building this with me, and to everyone taking the time to check it out today.
I'll be here in the comments all day, happy to answer anything 🙌
@harsh_kanani014 Couldn't have said it better, Harsh! 🙌
It's been an amazing experience being part of the Kuberns journey and helping bring this launch to life. Watching everything come together, from the product to the launch, has been incredibly rewarding.
We're just getting started, and we're genuinely excited to hear everyone's feedback. Thanks to everyone who's taking the time to explore Kuberns, ask questions, and share their thoughts. Every bit of feedback helps us make the product even better. 🚀
the part I'd want to understand before pointing this at a production repo is what "keeps watching it and adjusting" actually covers. autoscaling up is low risk, but does the agent ever take actions that are hard to undo on its own, like scaling down, restarting something with in-flight requests, or rolling back a deploy, without asking first? for a solo builder that's probably fine, but the moment there's real traffic I'd want to know where the line is between "agent just handles it" and "agent asks before doing anything destructive"
@galdayan Great question. Kuberns isn't an AI agent that makes destructive production decisions on its own.
When you connect your GitHub repository, the agent first analyzes your project and creates a deployment plan. It identifies the components your app needs, such as web services, workers, databases, Redis, background jobs, networking, and infrastructure, then presents that plan for your review. It also asks for required environment variables and configuration before deployment.
After deployment, the agent continuously monitors and optimizes the application, but you always remain in control of the platform. It isn't designed to arbitrarily restart services, roll back deployments, or perform other destructive actions without your involvement.
The goal is to automate the repetitive operational work while keeping production decisions transparent and under your control from a single dashboard.
@harsh_kanani014 that's the reassuring part, review-before-deploy plus no unattended destructive actions covers the actual risk I was worried about. good luck with the launch
This is amazing -The AI-assisted deployment caught my attention 🙌
Although i have few questions: How does it help when a deployment fails? Also does it just surface logs, or does it actually suggest fixes based on the error?
@jeetbangoria Thanks! 🙌 When a deployment fails, our AI analyzes the logs, identifies the likely root cause, and suggests actionable fixes—not just raw logs. It helps you understand what went wrong and how to resolve it faster.
@harsh_kanani014 how this would be different from using the AWS inside my Claude code itself like are you providing any governance for the infra ?
@subhash_yadav2000 Think of Claude as helping you write cloud code. Kuberns is the platform that actually runs and manages your infrastructure, with monitoring, deployments, logs, and governance built in.
Its full PaaS platform with AI agentic capabilities
DevOps is the last thing solo founders want to learn and the first thing that breaks. An agent that owns deploy AND ongoing management (not just the initial push) is the real promise here — how does it handle incidents at 3am?
@medal411 That's the goal. We don't want founders waking up for routine DevOps. The agent handles monitoring and common operational issues, while keeping you in the loop for actions that require your approval.
Hey Product Hunt! 👋 I'm one of the makers behind Kuberns.
We built Kuberns because we were tired of spending more time managing infrastructure than actually building products. Our goal was simple: make cloud deployments feel as easy as pushing code, without giving up flexibility.
We've poured a lot of effort into creating a platform that helps developers deploy, monitor, and scale applications with less operational overhead. This launch is a huge milestone for us, and we'd genuinely love your feedback—good or bad. Every comment helps us make Kuberns better.
Thanks for checking us out, and we're here all day to answer questions! 🚀
@jevin_vekaria Couldn't agree more, Jevin! 🙌
From a marketer’s perspective, it’s been incredible to watch Kuberns come to life and finally share it with the community. We’ve put a lot of thought into making deployments simpler so developers can focus on what truly matters, building great products.
Super excited to hear everyone’s feedback and continue refining the experience. Thanks to everyone taking the time to check us out and support the launch! 🚀
Been part of the Kuberns founding team for a while now, and today's the day it finally goes live for the world to see. 🚀
What started as "why does deploying an app still the same old way, while developing has evolved with AI" turned into an AI agent that handles it, the deployment, the scaling, the monitoring, all of it.
Would genuinely love for developers here to try it out and tell us where it breaks or what's missing. That feedback is worth more to us than anything else today.
And if it's useful to you, an upvote helps the team punch above its weight.