Hey Product Hunt 👋 Yuanlin here, founder of Zeabur and now building Nuphos.
Nuphos started from something we learned while building Zeabur.
We used to describe where Zeabur was going as “Your AI DevOps Engineer.”
But eventually we realized:
A PaaS asks you to adapt to its rules. A DevOps engineer adapts to your team’s infrastructure.
They learn the systems you already have, work within your permissions, and follow the way your team operates.
AI DevOps engineers should too.
Nuphos is an AI-native DevOps workspace that brings AI agents into the infrastructure your team already runs, without giving up control.
Our team of fewer than 10 engineers operates across 8+ clouds, 20+ Kubernetes clusters, and more than 10,000 hosts. We’d already been using coding and terminal agents in production, and they were surprisingly capable.
The hard part wasn’t getting an agent to run kubectl or inspect logs. It was everything around the action:
Whose permissions is it using?
What can it change?
Who approved it?
What exactly changed?
That’s what we built Nuphos around.
With Nuphos, you can connect your existing AWS, GCP, Kubernetes, and observability stack, keep agents read-only by default, require approval for write actions, and keep the context and audit trail shared with your team.
You can try it with your own infrastructure, or use the live demo on our homepage without signing up.
🎁 Use code PH100OFF to get your first month of Nuphos free.
👉 Got questions or want to follow what we’re building? Join our Discord: https://nuphos.ai/dc
And I’d love to hear from people running production:
What kind of experience would make an AI feel like a real DevOps engineer on your team, rather than just another AI agent?
About Nuphos on Product Hunt
“The AI-Native DevOps Workspace.”
Nuphos launched on Product Hunt on August 13th, 2026 and earned 270 upvotes and 65 comments, earning #3 Product of the Day. Nuphos gives engineering teams a shared environment where AI agents can learn your infrastructure, investigate issues, and operate production systems.
On the analytics side, Nuphos competes within API, SaaS and Developer Tools — topics that collectively have 659.6k followers on Product Hunt. The dashboard above tracks how Nuphos performed against the three products that launched closest to it on the same day.
Who hunted Nuphos?
Nuphos was hunted by fmerian. 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 Nuphos including community comment highlights and product details, visit the product overview.
fmerian
Hey Product Hunt 👋 Yuanlin here, founder of Zeabur and now building Nuphos.
Nuphos started from something we learned while building Zeabur.
We used to describe where Zeabur was going as “Your AI DevOps Engineer.”
But eventually we realized:
A PaaS asks you to adapt to its rules. A DevOps engineer adapts to your team’s infrastructure.
They learn the systems you already have, work within your permissions, and follow the way your team operates.
AI DevOps engineers should too.
Nuphos is an AI-native DevOps workspace that brings AI agents into the infrastructure your team already runs, without giving up control.
Our team of fewer than 10 engineers operates across 8+ clouds, 20+ Kubernetes clusters, and more than 10,000 hosts. We’d already been using coding and terminal agents in production, and they were surprisingly capable.
The hard part wasn’t getting an agent to run kubectl or inspect logs. It was everything around the action:
Whose permissions is it using?
What can it change?
Who approved it?
What exactly changed?
That’s what we built Nuphos around.
With Nuphos, you can connect your existing AWS, GCP, Kubernetes, and observability stack, keep agents read-only by default, require approval for write actions, and keep the context and audit trail shared with your team.
You can try it with your own infrastructure, or use the live demo on our homepage without signing up.
🎁 Use code PH100OFF to get your first month of Nuphos free.
👉 Got questions or want to follow what we’re building? Join our Discord: https://nuphos.ai/dc
And I’d love to hear from people running production:
What kind of experience would make an AI feel like a real DevOps engineer on your team, rather than just another AI agent?