Launch HN: Agent37 (YC F26) – Low-cost agent sandboxes for running agents
Hacker News vishnukool
Agent37 says it runs AI-agent sandboxes for under 10% of typical cost. That’s how it can now offer a free plan, and most new signups use it.
Based on reporting by Hacker News, vishnukool — read the original for the full story.
Summary, retelling and take written by AI under human oversight; images are AI-generated illustrations. How we work · Report an error
Agent37 showed up on Hacker News with a simple pitch: it wants to be the cheap place to run AI agents in sandboxes. Vishnu, the founder, says the company’s customers spend an average of $0.37 a month per sandbox, and that its setup comes in at under 10% of the cost of most sandbox providers.
The hook is the free plan. Vishnu says the team couldn’t afford to offer one at the start, when the company was bootstrapped and burning through his savings. Now it can, and he says more than 90% of new signups are free users hosting things like Hermes, OpenClaw and Claude Code on Agent37’s cloud.
The company’s cost story is really the product story. Agent37 says agent harnesses tend to use CPU in bursts and need extra RAM for browser and computer-use tasks, then quiet down again when the work is done. That pattern, the company argues, makes it possible to squeeze more value out of each machine if the infrastructure is tuned for it.
So it skips the hyperscalers and buys from providers such as Hetzner and OVH. It also uses gVisor to share host memory across sandboxes and speed up boot times, though that comes with limits: the gVisor sandboxes do not support things like Docker-in-Docker or Android emulators. For workloads that need more, Agent37 also offers full VM sandboxes at a higher price.
Vishnu frames the whole thing as a niche play. By focusing on a narrow class of sandbox workloads and optimizing around them, Agent37 says it can offer a better cost-performance tradeoff than broad, general-purpose providers. The company is also looking for developers building messaging agents to try pushing the platform’s limits and economics.
My take — AI-written commentary, not fact-checked reporting
This is the part of AI infrastructure that actually deserves attention: not shinier models, but the boring plumbing that makes agents cheap enough to exist. The hyperscalers will survive the insult; they always do. But if a startup can make free tiers work by sweating RAM and host choice, that’s a more honest business than selling vibes wrapped in a GPU bill.
Read more about this at: Hacker News
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