@mlejva: Stories like this is why we built E2B. Watching @genspark_ai go from zero to $250M ARR in 12 months on our infrastructu…
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.
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No-code personal agents, powered by GPT-4.1 and Realtime API
Genspark launched Super Agent, a no-code AI agent platform powered by GPT-4.1 and OpenAI's Realtime API, enabling users to automate complex real-world tasks like phone calls, slide creation, and video generation. The product reached $36M ARR in 45 days after Genspark pivoted from AI search to agentic AI in April 2025.
@AYi_AInotes: Bro, this is straight-up explosive—it's the most hardcore way top-tier engineers can harness AI. I recommend cranking i…
Lauren Tan, a former engineer at Meta and Netflix now at xAI, shared her methodology for leading an AI agent fleet to merge 2500 production PRs in a month, emphasizing rigorous validation and a Dune architecture with an open-source tool called pstack.
@bradwmorris: still think this is/was one of the best takes of the year @eisokant with @swyx and @vibhuuuus on @latentspacepod very m…
The article highlights a podcast discussion advocating for building personalized AI agent infrastructure, featuring isolated sandboxes, minimal toolsets, and agent-driven code execution.
@ErickSky: TENCENT JUST DROPPED THE BOMB for everyone making AI Agents: A sandbox that: - Starts in under 60 ms (up to 50x faster)…
Tencent released an ultra-lightweight sandbox for AI agents that starts in <60 ms, uses 5 MB RAM, supports 2000+ instances per server, and offers KVM-based security.
@ethanwalkerman: E2B's founder @mlejva just dropped a banger essay: "Sandboxes are dead." Coming from the CEO of the literal AI Sandbox …
一条关于 E2B 创始人 Vasek 发表"Sandboxes are dead"文章的分析线程,剖析了这家 AI 沙箱市场领导者为何要主动淘汰自己的品类,转向"agent 驱动的私有云"以应对开源自我蚕食、计费模式劣势和竞品夹击。