Launched this week
Huddle01 Cloud
Deploy your AI Agents in 60 seconds
1.3K followers
Deploy your AI Agents in 60 seconds
1.3K followers
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.
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Launch Team / Built With
Hi,
I’m Akash, Engineer @Huddle01 Cloud
While our team set out to solve the problem of high cloud costs, my focus has been on the engineering that makes it possible. We built our infrastructure to eliminate the "hyperscaler tax", the high markups for mid-tier performance. My goal was to provide the raw speed of bare metal with the flexibility engineers expect from the cloud.
From managing our compliance to tuning the networking for low latency, we’ve built this for workloads that need high-end performance without the complexity. This foundation is why we can now offer a 1-click deployment for AI agents like OpenClaw. We’ve handled the backend (the VMs, the security, and the networking) so you can get an agent running in under 60 seconds without touching a terminal.
I’m happy to answer any technical questions about our stack or how we’ve optimised the infrastructure for these types of workloads.
Huddle01 Cloud
@akmo3 Hyperscaler Tax is real, and building Huddle01 Cloud was kinda forced because we wanted to minimise our Burn.
Huddle01 Cloud
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.
@ranjan3118 Love the honesty here!
Cloud bills really do feel like ordering a simple coffee and getting charged for the whole coffee machine.
Glad someone finally said “enough” and built an alternative. Excited to see where Huddle01 Cloud goes 🚀
Huddle01 Cloud
@ranjan3118 Exactly the markups on Hyperscalers are insane and on bandwidth they charge 8000% markups in some region, and they stack fast in todays Video driven world
I remember Cloudflare did an amazing blog on this https://blog.cloudflare.com/aws-egregious-egress/
Huddle01 Cloud
@ranjan3118 Had so much fun working with the team on this! Excited for people to checkout and give their feedback!
@ranjan3118 the "non-devs couldn't ride the wave" part is spot on. we're building a desktop app and even for us the setup friction for running agents properly is surprising — not the AI part but all the infra around it. session management, keeping agents alive, making sure context persists between runs.
curious about the context handling — when you deploy an Openclaw agent through Huddle01, does it handle persistent memory/context between sessions or is that still something the developer needs to wire up separately?
Huddle01 Cloud
@ranjan3118 @jarmo_tuisk2 that is the core magic of openclaw , it maintains its own context between sessions in what it calls soul & memory markdown files!
so the more you chat with it , the more it slowly learns about you - unlike a normal ai chat app where every new chat is a blank slate
@ranjan3118 Many congratulations on the launch! I love the repositioning since our first chat, it's spot on. Thrilled to see it vying for the top 3 on the YC leaderboard, and it's great to see Flo showcasing it too. :)
Product Hunt
Huddle01 Cloud
@curiouskitty Every tenant lives inside its own private subnet behind a Geneve switch, so that is how we get user-to-user separation. Everything is totally isolated from one another. Then at the kernel level, there is the KVM layer, which again helps protect against untrusted access. Every network is also protected by firewalls.
Huddle01 Cloud is fully SOC 2 compliant, so these are all very standard and robust protection measures.
As for OpenClaw risk mitigation, it depends, though. Everything runs inside Docker sandboxes. We did not want to introduce things from our end that would not align with Peter’s vision as the creator of OpenClaw, and the vision of the product in general. He is doing a great job making OpenClaw great.
On our side, we are working hard to make sure you can run this agent 24/7 with the best specs and unlimited egress.
Congrats to the@Huddle01 Cloud team on the launch! I've watched @ranjan3118, and the huddle crew build this from the ground up, and the problem they're solving is painfully real. Started as a real-time comms platform, realized the cloud providers were eating their margins alive on bandwidth, and decided to just... build their own cloud. That kind of "fine, I'll do it myself" energy is what makes great infra companies.
Now they've stacked 1-click OpenClaw agent deployment on top of it. 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, give this a spin.
Huddle01 Cloud
@ranjan3118 @ayushpranav3 Thanks a ton for the kind words!
Huddle01 Cloud
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?
Huddle01 Cloud
@arcinston That’s an interesting take.
One pattern I keep noticing is that the intelligence of the individual agent seems to matter less than the environment it runs in.
If the compute, networking, and orchestration layers are strong enough, even relatively simple agents can handle surprisingly complex workflows — because the system around them does a lot of the heavy lifting.
In that sense it feels like the real shift isn’t just better agents, but the emergence of an infrastructure stack designed specifically for agents to operate in.
Curious if you see it that way too, or if you think model capability will still dominate over infrastructure in the long run.
Huddle01 Cloud
Its both if the model or the agent orchestration is too good but the infra is not supporting it, it wont work out the best way also true another way around - Model needs to do its work as well
its fight on both the front imo, only time will tell how things change and evolve, we have built out the best infra layer and now we are also playing into the world of best model deployment
Timelaps
Sounds great! Was wondering the 70-80% cost savings compared to the 'Big Three' (AWS/GCP/Azure). Is this primarily due to the decentralized node structure, and what kind of trade-offs (if any) should developers expect regarding uptime or redundancy when moving from a centralized giant to Huddle01?
Huddle01 Cloud
@henk_pretorius1 Great Question!!!
The answer is very complex but we can simply it like this, Hyperscalers ( AWS, GCP ) have just huge costs to operate they are earning major money from the Top 500 companies that do need there scale but almost 90% companies don't need 200+ service these guys have and still pay for them
Huddle01 is in the intersection of Hyperscalers and Cheap VMs, we focus on robust servers, use our colocation and years of experience to push the main services like VMs, K8s, GPUs to there limit
And Hyperscalers have insane margins 8000% for some services, all because a promise of reliability which should be by default in todays world with Data Center popping everywhere
So in-short
1. Huddle01 Focuses of Core services optimises to there max
2. We pass on the benefits which we get like unlimited egress to customers
3. We give you servers with specs like AMD EPYC, DDR4 ECC RAM, NVMe Storage which allows you to run 4x the capacity of services that you would on any other service
You can read more here on how a Drone Company uses our NVMe storage for Analytics https://huddle01.com/blog/how-marut-drones-processes-spatial-data-3x-faster-with-huddle-cloud
And also our benchmark against notable hyperscaler
https://huddle01.com/blog/aws-is-charging-you-3x-more-for-slower-compute
Timelaps
@itsomg thanks for the detailed reply. Very useful. Good luck with the launch!
Huddle01 Cloud
@henk_pretorius1 Would love your product feedback as well, check it out on huddle01.com/ph you can also claim the PH discount
Huddle01 Cloud
Hey Product Hunt 👋
I’m the person you see in the video, and if you haven’t watched it yet, now’s probably a good time.
Building Huddle01 Cloud has been one of the most exciting things I’ve worked on because it sits right at the intersection of infrastructure and AI. What AI changed for me as an engineer is not just speed, but the time and tools it gives me to understand systems more deeply, how traffic works, how packages work, and how different technologies fit together.
That’s a big reason why OpenClaw mattered to us. At Huddle01 Cloud, we’re building infrastructure like VMs, Kubernetes, and Load Balancers, but agents felt like where the world was clearly heading.
What got me hooked was seeing one of our engineers use OpenClaw for Polymarket trading and turn $1 into $17. I also gave it a shot and managed to turn $10 into $0 in about 30 minutes, so while that was humbling, it did confirm one thing: the tool is powerful, but the person using it still matters 😂
jokes aside, it showed me how powerful agents can be for repetitive, context-heavy work. We also saw how painful setup was, even for engineers, so we focused on making OpenClaw as close to one-click as possible.
Would love for you to try it out, push it hard, and tell us what you want us to improve.
@itsomg Turning $1 into $17 is impressive… turning $10 into $0 in 30 minutes is even more impressive in its own way 😂
Jokes aside, love the direction here. Making agents actually easy to deploy instead of another painful setup is a big win. Excited to see what people build with it!