His Customers Died. He Grew 51% a Month Anyway. | Ivan Burazin, Daytona

AI agents will inevitably trigger security vulnerabilities in most businesses within the next year as they operate without human ethics or fear of legal recourse. To mitigate these risks, companies must treat agent infrastructure with the same rigor as human employee access, utilizing secure, isolated execution environments. Daytona addresses this by providing an "agent execution cloud" that supplies Linux, Windows, and Mac sandboxes, shifting the focus from GPU-heavy model training to CPU-intensive task execution. As digital knowledge work transitions toward agent-based automation, the demand for scalable, on-demand CPU compute is surging, creating a critical infrastructure bottleneck. Successful startups in this space must prioritize rapid scaling and aggressive attention-grabbing strategies, such as hosting exclusive industry meetups, to establish market dominance before the category matures and consolidates.