@mlejva: Stories like this is why we built E2B. Watching @genspark_ai go from zero to $250M ARR in 12 months on our infrastructu…

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Summary

E2B highlights how Genspark achieved $250M ARR in 12 months using E2B's infrastructure to support its Super Agent, emphasizing the importance of low-latency sandboxing for AI agents.

Stories like this is why we built E2B. Watching @genspark_ai go from zero to $250M ARR in 12 months on our infrastructure is one of the best feelings in this job. Their Super Agent does deep research, runs analysis, and builds decks. Millions of users, with every session running on E2B: a real, persistent computer for the Super Agent with all the tools it needs. Here's what Kay Zhu, co-founder and CTO of Genspark, had to say about our collaboration: "A 30-step agent run can't start with a 60-second cold start. It has to feel instant. E2B lets us scale to thousands of concurrent sessions, and we couldn't have hit $250M ARR if five of our engineers were building a sandbox platform instead of the agent." Genspark is building one of the defining products of this generation, and we get to be the layer underneath. Hard to ask for more than that.
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