This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
CrowNest gives coding agents real isolated Linux sandboxes: create a machine, run code, install packages, stream stdout, expose a private browser preview, collect artifacts, then tear it down. Unlike generic serverless or long-lived devboxes, it is built for agent workflows across SDK, CLI, MCP, Python, REST, and Vercel AI SDK tools.
Hey Product Hunt, I’m Tristan! I’m building CrowNest.
CrowNest gives coding agents real Linux sandboxes.
The loop is pretty straightforward: create a sandbox, run code, install packages, stream stdout, work with files, open a private browser preview when the code starts a server, save the outputs you care about, then shut the machine down.
I built it because agents keep increasingly need somewhere to do real-world work. They need to run generated code, install dependencies, write files, start servers, and bring back useful results. I did not want that to mean handing every agent a permanent devbox, a local machine, or a blank cheque for cloud compute.
The launch version has TypeScript and Python SDKs, a CLI, REST API, MCP server, and Vercel AI SDK tools. Also scoped API keys, projects, usage visibility, spend caps, authenticated previews, and durable artefacts.
I’m especially curious what people building coding agents, code interpreter flows, eval systems, or agentic dev tools would need before moving a real workflow onto this.
Also, what should come next: richer templates, persistence/resume, better terminal controls, or easier browser handoff (or something else)?
Docs: https://docs.crownest.dev
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About CrowNest on Product Hunt
“Real Linux sandboxes for coding agents”
CrowNest was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #160 on the daily leaderboard. CrowNest gives coding agents real isolated Linux sandboxes: create a machine, run code, install packages, stream stdout, expose a private browser preview, collect artifacts, then tear it down. Unlike generic serverless or long-lived devboxes, it is built for agent workflows across SDK, CLI, MCP, Python, REST, and Vercel AI SDK tools.
CrowNest was featured in Developer Tools (515.4k followers), Artificial Intelligence (473.1k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 204.7k products, making this a competitive space to launch in.
Who hunted CrowNest?
CrowNest was hunted by Tristan Manchester. 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 CrowNest stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Tristan Manchester