E2B (@e2b) / X

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We just passed $120M ARR. 🚀 It started in a Prague apartment, where @mlejva and @co_valenta paid rent with hackathon prize money. Thank you to everyone building on E2B. 🧡 Next stop: making agents even easier to build, run, and scale. businesswire.com/news/home/2026…

Start building with Gemini managed agents + E2B: docs.e2b.dev/agents/gemini-…

Google AI Studio

@GoogleAIStudio

14h

building with Managed Agents on the Gemini API? now you can bring your own sandbox with self-hosted environments start building today: ai.studio

E2B

@e2b

18h

Give 1,000 agents 1,000 machines. Let them run for an hour, snapshot them, and try 1,000 different approaches. Matt on our product team is building toward that: environments you can pause, resume, and fork 👇 youtube.com/shorts/Y__YQ1K…

As an independent benchmarking company, @ArtificialAnlys depends on fair, repeatable tests. That means giving every model a clean environment, with no leftover files or state to skew its score. E2B provides that environment through an isolated sandbox for each benchmark task,

We’re excited to pair @nvidia Vera’s faster compute with E2B’s simple SDK to give agents fast, isolated computers. With 1.5× single-thread compute throughput vs. our AMD EPYC 9B45 reference in our tests, we’re looking forward to building more together! 🚀

NVIDIA Vera brings faster compute to E2B sandboxes | E2B

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