Huddle01 Cloud allows you to spin up a Virtual Machine (VM) from your favourite AI assistant now! The MCP server lets you control your infrastructure setup on Huddle01 just by chatting. Works with Claude, Cursor, Antigravity, or anywhere you can set up MCPs. Your virtual machines come with Unlimited Ingress, Per-second billing, and Unthrottled NVMe Storage.
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.
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!
@ranjan3118 congrats on the build! Weren't you guys working on a decentralized/onchain meeting app, as an alternative to Google Meet, Zoom, et al? I really liked that product - is that still in development or have you pivoted fully in this direction? Or, totally different company? ;P
Congrats again, either way - looks slick/useful.
Nice, looks great, congrats on the launch!
Curious, how is it different from just installing claude code in my current VM?
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.
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.
This will genuinely help indie hackers ship faster without cloud headaches. Congrats on the launch.
Would there be a UI fallback too? Chat is great, but sometimes dashboards help visualize things better.
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.
I was wondering if I deploy from an assistant, how can I manage the configurations? What if the configurations used by AI end up charging me more?
I’m launching a Discord bot soon, would this be a good alternative to what I’m currently using, which is railway?
Nice! But how do you ensure cost control if agents keep spinning up instances automatically? 😅
About Huddle01 VMs on Product Hunt
“Virtual Machines for Your Agents”
Huddle01 VMs launched on Product Hunt on May 3rd, 2026 and earned 421 upvotes and 58 comments, earning #1 Product of the Day. Huddle01 Cloud allows you to spin up a Virtual Machine (VM) from your favourite AI assistant now! The MCP server lets you control your infrastructure setup on Huddle01 just by chatting. Works with Claude, Cursor, Antigravity, or anywhere you can set up MCPs. Your virtual machines come with Unlimited Ingress, Per-second billing, and Unthrottled NVMe Storage.
Huddle01 VMs was featured in Developer Tools (512.4k followers), Artificial Intelligence (468.5k followers) and Development (5.9k followers) on Product Hunt. Together, these topics include over 164.7k products, making this a competitive space to launch in.
Who hunted Huddle01 VMs?
Huddle01 VMs was hunted by Rohan Chaubey. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Huddle01 VMs stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Rohan Chaubey
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!