Launching today

InfrOS
Cloud Design: Predicted, Proven, Perfected.
239 followers
Cloud Design: Predicted, Proven, Perfected.
239 followers
For teams building cloud systems, InfrOS designs and validates inherently optimized architectures that align to your priorities. It doesn’t just predict outcomes, it proves them through emulation before deployment - and helps you evolve infrastructure with control over time.






InfrOS
Hey Product Hunt 👋
I'm Naor, co-founder and CEO of InfrOS.
The standard cloud workflow is broken — and everyone's normalized it:
Deploy → watch things break → optimize reactively. Repeat forever.
We flipped it.
InfrOS takes your requirements upfront — business, technical, compliance — and proactively designs the right architecture before anything gets built. We then emulate it in a real environment to validate performance before a single resource is provisioned. What you deploy is already optimized. Real optimized.
And when your codebase, requirements, cloud provider offering, environment or price changes? InfrOS reoptimizes at the design level. Not a patch. A controlled redesign.
We call it shift-left optimization. We don't predict how your cloud will perform — we prove it.
Early customers are seeing 43% infrastructure cost reductions and 63% faster deployments. We just closed our first Fortune 500 deals through the Ignite DeepTech accelerator, and we're opening InfrOS to the broader community today.
🎁 Product Hunt exclusive: Use code PHLAUNCH for 20% off our paid plans— valid 7 days.
Two things I'd love your feedback on:
Does the shift-left framing resonate with how your team thinks about infrastructure?
What's the hardest part of your current architecture workflow?
We'll be here all day — ask us anything.
🙏
— Naor
really interesting angle on cloud optimization this feels like solving the problem at the right stage instead of waiting for infra issues to show up later. the “prove it before deploy” part especially stood out. how are you handling cases where requirements change very frequently across teams?
This is a strong take on a problem many teams have simply accepted as normal. The idea of validating and optimizing infrastructure before deployment feels far more practical than constantly reacting after things break. I am especially curious about the emulation layer you mentioned. How closely does it match real-world production behavior across different cloud environments?
InfrOS
Really excited to finally share this and grateful to everyone taking a look today! I truly believe this product will reshape the way teams design their infrastructure. We’re here all day, come say hi!
InfrOS
Thrilled to be launching InfrOS today.
We built it around a belief that feels obvious in hindsight: infrastructure decisions should be validated before anything gets provisioned, not after issues show up in production. That shift from reactive fixes to proactive design is what excited us most, and we’re happy to finally share it.
Hey Product Hunt:)
A lot of thought went into making this practical, not just theoretical. Really excited to launch it!!