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
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!
Looks interesting! Do you guys have a simple "same workload, same region" benchmark (latency/throughput + total cost incl egress) compared to smth like Hertzner/OVH/Vultr?
Interesting wedge - start with the infrastructure pain (which is real and documented) and layer agent deployment on top as the entry point for non-devs. Makes sense as a GTM. What's the target customer right now - individual builders, startups, enterprise?
Congrats for the launch, Does the 60‑second deployment include multi‑region availability, or is that an add‑on?
The Docker Sandbox approach is really smart. Getting VM-level isolation with container speeds is the kind of tradeoff that actually matters when you're running agents that need to hit external APIs and handle real data.
Curious about one thing though, how does cold start look? Like if an agent hasn't run in a while, does it spin up instantly or is there a warmup period? That's usually where managed platforms trip up.
The setup time problem is so real half the people who would actually benefit from open source agent frameworks never get past the infra setup. How does the managed version handle custom model integrations, or is it locked to specific providers?
Solid launch, I'm curious how the 60-second OpenClaw deploy works, can't wait to try it! also shared with the team, best of luck!
Hey Product Hunt 👋
I’m Susmit, co-founder of Huddle01.
This launch is pretty special for us because Huddle01 Cloud was born from a very real pain we experienced while scaling our own infrastructure.
When we were building our real-time communication network, we kept running into the same issue: hyperscaler cloud bills growing faster than our product. We were paying massive markups for things we fundamentally understood how to run ourselves — compute, networking, bandwidth.
So we spent the last few years building the infrastructure we wished existed.
Huddle01 Cloud combines bare-metal performance with cloud simplicity, giving builders high-performance compute without the hyperscaler tax.
When AI agents started becoming real workloads, we realized something interesting: Many people wanted to experiment with agents like OpenClaw, but the setup complexity was stopping them.
So we built 1-click OpenClaw deployment on top of our infrastructure.
Now you can deploy an agent in under 60 seconds — no terminals, no infrastructure headaches.
We're super excited to see what people build with it.
Would love your feedback, questions, and ideas on where we should take this next 🚀
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.