Ever since we launched Huddle01 Agents, our team has been building a lot of mini-products to support their work.
It has ranged from building a content generator specific to social media, an agent that reminds people to support other teammates, to a website that lets you compare Cloud costs across products.
Even after we built this, the one area we needed help with was deploying our apps.
Our developers being developers, took up the problem in their hands and made a solution.
Huddle01 VMs
Hey Product Hunt!
I am Ayush, founder of Huddle01 Cloud. Virtual Machines are an essential when it comes to taking your website or applications online. In last few months, developers and non-devs have been building their applications using AI assistants. Anyone who is not familiar with tech has to spend a lot of time reading through docs to setup their Virtual Machines to get the website published.
So we decided to fix that.
Huddle01’s MCP server allows you to access the Virtual Machines from your AI Assistants like Claude Code, Cursor, Antigravity and any tools that support MCPs. You just need to install the server with one line of code and then your chat can handle everything else.
With this:
Beginners and non-developers can setup Virtual Machine instances from their AI assistant chats.
Developers and Builders can setup their agents to auto-deploy instances for the apps that agents create.
Check the already running instances and info about VMs without visiting the dashboard.
Huddle01 Virtual Machines come with dedicated AMD EPYC vCPUs, NVME storage and unlimited egress across global regions.
Why Huddle01 VMs for your agents?
MCP native: We’re the first VM provider that allow you or the agents to just write in the chat and get the infra live.
You don’t pay any brand tax. Just pay for what you use with no egress markup. This makes Huddle01 almost 70% cheaper than other hyper scalers.
Only three steps setup an then you can get VMs by chatting anytime.
How to use:
Just go to get.huddle01.com and copy the code
Paste it in your Claude Code terminal, Cursor, Antigravity or any tool.
Run it and you’re ready to get deploying from the chat
If you’re building your first python project and don’t want to configure everything manually or you have a multi-agent system working that self deploys everything, Huddle01 has got you covered.
You can leave feedback or ask questions to us in our Discord too.
It’s time to get deploying with Huddle01 (huddle01.com).
We’re here the whole day to answer all your questions!
Huddle01 VMs
@ranjan3118 Huddle01 MCP feels like the way forward on how Cloud Products should feel like, everything will move MCP native going forward
Huddle01 VMs
@ranjan3118 Huddle looks like a great step up to conventional coding assistants.
Thinking about security first, how does the MCP server handle authentication? If my agent goes into a loop, are there spending limits I can set to prevent token usage surprises?
Also, does it have access to root directories or we can create a VM/sandbox for it?
Huddle01 VMs
@ranjan3118 @je_yue_yip1 yeah full root access
Huddle01 VMs
@ranjan3118 Excited to hunt Huddle01 VMs today. Congrats Ayush and team! :)
How I know the makers?
I’ve had the chance to interact with Ayush and the Huddle01 team ahead of the YC Application Day, and what stood out immediately is how deeply they understand both infra and where AI-driven development is headed.
What does Huddle01 VMs do?
Huddle01 is tackling a very real bottleneck, setting up and managing virtual machines by making it as simple as chatting with your AI assistant. With their MCP server, you can spin up, manage, and monitor VMs directly from tools like Claude Code or Cursor, without touching complex dashboards or configs.
It’s especially powerful for agent-based workflows where apps can deploy themselves.
Why I endorse this launch?
I’m excited about this launch because it rethinks cloud infrastructure for the AI-native era... simpler, more accessible and significantly more cost-efficient.
If you’re building with AI agents or just want to skip DevOps headaches, this is definitely worth trying! :)
StreamAlive - Interactive PPT slides
Congrats on your launch! I'm not very knowledgeable about virtual machines or why I would need one. My current workflow to publish my vibe coded apps is Antigravity => Github => Vercel. That seems pretty straightforward and simple.
What use case are you solving that can't be done with my workflow?
Huddle01 VMs
@peterclaridge Hey Peter thats an awesome workflow, but as your apps will move to a more mature stage you will need a Backend server to Host your websites, your backend server and much more!!
We see people say deploying from discord bots to major analytics servers on VMs and easily configuring it using MCPs
We've been exploring adding an AI-powered intro assistant to our product. Two questions: first, what's the latency like for real-time voice interactions? In a networking conversation, even 500ms of delay kills the flow. And second - can agents access external context during a call, like pulling data from your own API? The value of our agent would depend entirely on whether it can reference a user's contact graph while the conversation is happening.
Huddle01 VMs
@ben_gend Huddle01 started as a video conferencing platform and we perfected the <100ms latency so you can we assured the latency would be good also we have unlimited egress so its perfect for video and audio related products, every VM gets a public IP which is not behind a LB so it can always pull data from an API
Glam AI
Huddle01 VMs
This is solving a real pain point in production AI agent systems. We run a few specialized agents that need isolated execution environments and the overhead of spinning up infrastructure manually adds friction every time we want to test a new workflow. The MCP server integration is a smart move — keeping the agent in its natural interface rather than forcing a context switch to a dashboard. Curious: how do you handle state persistence between VM sessions? Agents that do multi-step research tasks often need to pick up where they left off.
Huddle01 VMs
@thekrew you have access to NVMe storage directly and can boot a VM using the past VM storage or start from scratch upto you
Per-second billing only matters if spin-up is also fast — what's the cold-start time for a vanilla Ubuntu image, and does it stay flat as the image gets heavier (e.g. with a 2GB Docker layer baked in)? The economics break the moment startup is 90 seconds and I'm paying for warm-up.
Huddle01 VMs
ConnectMachine
Would there be a UI fallback too? Chat is great, but sometimes dashboards help visualize things better.
Huddle01 VMs