Setting up OpenClaw shouldn't take hours. Deploy a fully managed & secure version of Openclaw in 60 seconds! We take care of infrastructure, AI inference & updates so you can focus on building your agents - not keeping them online. Train your agents, not your hosting skills.
Hey Product Hunt 👋 I'm Ayush, co-founder of Huddle01.
Five years ago, my co-founder and I were building a real-time communications platform. As we scaled, we bled our organisation's runway, not to product, not to people, but to cloud bills. We weren't using 200 services they provided with hidden costs; we needed maybe five. But the markups were brutal - 8000% over actual costs for services like bandwidth. We were paying insane markups to hyperscalers for mid-tier performance.
We looked everywhere for an alternative, something with the raw performance of on-prem, the flexibility of the cloud, and pricing that didn't punish you for growing. It didn't exist. So we built it. Huddle01 Cloud delivers bare-metal performance with the flexibility of the cloud and is SOC 2 compliant.
While we were building for teams that needed high-end infra, AI Agents became real workloads. They are compute-heavy, latency-sensitive, and they need to be always active. Moreover, for non-developers and beginners, terminals and CLIs aren’t the most user-friendly option.
With Openclaw launching, many non-devs couldn’t ride the wave due to the complexity of the setup. We realised our infrastructure was exactly what they needed and thus built a 1-click agent deploy on top of it.
Your agent gets running in less than 60 seconds. Just click on deploy, think of a name for your bot and the skills you want to teach it - without the hassle of managing api keys or Mac minis!
Launch week offer: Upto 64% off with Free AI credits.
We would love to get your feedback and suggestions. Help us build Huddle01 Cloud. Join our Slack: https://huddle01.com/community
Love seeing new cloud infrastructure being built. How are you achieving the cost reduction vs traditional providers, is it mainly hardware efficiency, edge distribution, or a different pricing model?
congrats folks! i'm a non-technical person, and i dont pretend to understand half the terms mentioned in the description. but, i have tried using openclaw by hosting it on a VPS using hostinger. how would this be different/better? i'd love to understand this better if someone can remove all jargon for me.
Deploying OpenClaw in 60 seconds and not worrying about infra or updates sounds like a big productivity hack for anyone building AI agents.
Particularly curious what kinds of agents people are already building with this.
Interesting that each agent runs in its own isolated Docker sandbox. Makes sense for security, but curious what happens when you need agents to actually talk to each other? Like if I deploy a research agent and a coding agent and want them to coordinate on the same task — is there any built-in way for them to discover and communicate, or would I need to wire that up myself through external APIs?
Feature request: would be great to have a dashboard showing real-time compute usage and agent performance metrics.
As a founder, cloud bills creeping up every month is painful. Love seeing someone tackle that problem directly. :D
60-second deploys for AI agents is a compelling pitch curious how you handle the secrets injection side at deploy time. Are agent environments fully isolated per customer, or is there a shared execution layer? That boundary tends to matter a lot once enterprise teams start asking about it.
Interesting launch.
Reading through the comments and the way Huddle01 handles isolation (KVM layer, private subnets, Docker sandboxes), something stood out.
It feels less like a simple “agent deployment tool” and more like infrastructure designed to run persistent AI agents as production workloads.
Especially since the agents stay warm and continuously running rather than spinning up per request.
Curious how the team thinks about this internally.
Is Huddle01 Cloud evolving more as a deployment layer for OpenClaw agents, or closer to runtime infrastructure where agents themselves become long-running workloads?
Part of my issue with cloud cost reports is that it doesn't give me granular enough insight to where my spend went exactly. Is there a way to see which agents are spending what percentage of my total cloud spend?
congrats on the launch! Do you host the infra in house? Or do you work with a DC and white label their services? This sort of cloud is so relevant right now!
Big congrats to the @Huddle01 Cloud team on the launch. 🚀
I’ve had the chance to watch @ranjan3118 and the Huddle crew build this from the ground up, and the problem they’re tackling is painfully real. What started as a real-time communications platform quickly ran into the same wall every latency-sensitive product eventually hits: traditional cloud bandwidth costs.
Instead of accepting shrinking margins, they made a bold call — build the infrastructure themselves.
That “fine, we’ll do it ourselves” mindset is exactly how great infra companies are born.
Now they’re stacking developer-first tooling on top of it, including 1-click OpenClaw agent deployment. No terminal. No API keys. Agent running in under a minute.
If you're building anything compute-heavy or latency-sensitive — especially out of India — this is definitely worth experimenting with.
You mention “Docker Sandboxes” that combine VM-like isolation with container speed—what are the actual isolation boundaries (kernel/VM layer, filesystem, network), and how do you mitigate risk from untrusted OpenClaw skills/plugins that can execute code or access the internet?
Hey Ayush! It's really impressive. Is it similar to KimiClaw? What's the main differentiation??
Btw, a quick suggestion build a parallel pricing made for founders, not for devs. I could understand it but I know many founders won't. Hope it's helpful
i've written so many AWS support tickets about surprise bills that i've lost count. the "we only needed 5 of their 200 services" line is painfully accurate. signed up. will report back. congrats on launching something that sounds different!
Hey Product Hunt 👋
I'm Ayush, co-founder of Huddle01.
Five years ago, my co-founder and I were building a real-time communications platform. As we scaled, we bled our organisation's runway, not to product, not to people, but to cloud bills. We weren't using 200 services they provided with hidden costs; we needed maybe five. But the markups were brutal - 8000% over actual costs for services like bandwidth. We were paying insane markups to hyperscalers for mid-tier performance.
We looked everywhere for an alternative, something with the raw performance of on-prem, the flexibility of the cloud, and pricing that didn't punish you for growing. It didn't exist. So we built it. Huddle01 Cloud delivers bare-metal performance with the flexibility of the cloud and is SOC 2 compliant.
While we were building for teams that needed high-end infra, AI Agents became real workloads. They are compute-heavy, latency-sensitive, and they need to be always active. Moreover, for non-developers and beginners, terminals and CLIs aren’t the most user-friendly option.
With Openclaw launching, many non-devs couldn’t ride the wave due to the complexity of the setup. We realised our infrastructure was exactly what they needed and thus built a 1-click agent deploy on top of it.
Your agent gets running in less than 60 seconds. Just click on deploy, think of a name for your bot and the skills you want to teach it - without the hassle of managing api keys or Mac minis!
Launch week offer: Upto 64% off with Free AI credits.
We would love to get your feedback and suggestions. Help us build Huddle01 Cloud.
Join our Slack: https://huddle01.com/community
We're here all day. Ask us anything.