E2B
company on 2 shows · 15 statements across 6 episodes · said 68 times in 22 episodes since 2024
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Latent Space 63
20VC 5
2026 17 mentions in 7 episodes 2 per episode
- Orbs: Shifting Coding to Cloud — Quinn Slack, Amp Code
- The SaaS Apocalypse: Who Lives & Who Dies | Insight Partners Co-Founder, Jerry Murdock · 20VC with Harry Stebbings
- The AI Bubble WILL Burst | Should we be fearful of Chinese Open-Source | Jerry Murdock
- Exo: Harnesses should see their own code and logs — Alex Krentsel, UC Berekeley / Google Research
- Devin’s 80% Moment: Background Agents, 7x PRs, & End of Hand-Held Coding — Walden Yan & Cole Murray
- AI Agents Need Computers: 74% MoM Growth, 850K/Day Runs, & New Agent Cloud — Ivan Burazin, Daytona
- ⚡️Monty: the ultrafast Python interpreter by Agents for Agents — Samuel Colvin, Pydantic
- every mention in 2026, scene by scene →
2025 42 mentions in 10 episodes 4 per episode
- Why Every Agent needs Open Source Cloud Sandboxes
- Building Manus AI (first ever Manus Meetup)
- smol agents are all you need
- 2024 Year in Review: The Big Scaling Debate, the Four Wars of AI, Top Themes and the Rise of Agents
- Breaking AI to Fix It: Ian Webster's Journey from Discord's Clyde to Promptfoo's $18M Series A
- Terminal-Bench 2.0: the most impt coding agent benchmark of 2025 gets a v2! Launch + Q&A w/ founders
- The Agent Network — Dharmesh Shah, Agent.ai + CTO of HubSpot
- Browserbase: Browser Infrastructure For Your AI Agents
- 2 more episodes that year, every mention in 2025 →
2024 9 mentions in 5 episodes 2 per episode
- The Winds of AI Winter (Q2 Four Wars of the AI Stack Recap)
- 0 to over $8M ARR in 2 months as a Claude Wrapper (Bolt.new, Qodo)
- The new Claude 3.5 Sonnet, Computer Use, and Building SOTA Agents — with Erik Schluntz, Anthropic
- In the Arena: How LMSys changed LLM Benchmarking Forever
- Building AGI in Real Time (OpenAI Dev Day 2024)
- every mention in 2024, scene by scene →
every mention on every show, scene by scene, with the transcript →
15 statements about E2B, every show
Slack: Big cloud sandboxes lack resumption and network access compared to E2B
“And I look at products from other companies like big cloud providers, and they call it a sandbox. They think that they're competing with E to B, but they like lack the ability to resume or like their sandboxes have no network access or something like that.”
Murdock: E2B and Docker lead in understanding AI sandbox infrastructure
“And if you look at E to B and you look at Docker, they're probably the two best at understanding all that stuff. So you start there because if you don't get the sandbox right, forget everything else.”
Murray: Standalone agents cannot compete against sandbox and model layers
“I don't want to compete for like 20 dollars a seat. I think that that is just a really difficult business. I think it's very easy to copy the main pieces of it. I mean, again, like I built this fairly quickly, and I think because you are not owning, I guess, t…”
Jerry Murdock: E2B's AI agent sandboxes achieve 80-millisecond latency
“Well, EtoB has sandboxes that respond in 80 milliseconds.”
Mlejnsky: Agent sandboxes need persistent state, not one-off execution
“The important part is that you don't need to explain the model, and the model doesn't need to care about how to keep the state of the program running. So it was, especially with our earlier models, I think the models are now smarter, but they kept producing, l…”
Mlejnsky: Jupyter notebooks fail to scale for LLM code execution
“Jupyter itself isn't the right environment to actually do it because like because all the technical problems that you will run into once you are start doing, once you start doing it on scale. So it's, it gets slower and slower.”
Mlejnsky: E2B aims to be the Kubernetes for AI agents
“I think a good analogy here is sort of, like, technologically, it's kind of, you want to be the Kubernetes of the world for the agent, but with much better DX and easier, easier to use.”
Mlejnsky: E2B sees 250k JavaScript and ~500k Python SDK monthly downloads
“From number of downloads of our SDK per month, it's like, 250,000 JavaScript, close to around half a million Python.”
Mlejnsky: E2B can kill and spin up a new sandbox in 150ms
“If that happens with us, we just like kill the sandbox and get, get a new one. He it takes like, I don't know, a 150 milliseconds.”
Mlejnsky: An E2B customer has generated a petabyte of data
“We have a customer that produced petabyte of data. I mean, it's not free to host petabyte of data and that's growing.”
Mlejnsky: Hugging Face uses E2B sandboxes during Open-R1 RL training
“The way HuggingFace, who built the OpenROne project is using us is during like the reinforcement learn, code gen reinforcement learning step where the ROne model the OpenROne model has a training step where they give it a Code problem, and the model needs to g…”
E2B plans to let LLM agents deploy and manage apps directly
“Eventually, like, we want the LLMs to Deploy these services, apps that they are building, and, ah, have them manage it, and developer is more like in the backseat, like, looking at things if everything is working correctly. If your swarm of agents is working c…”
Mlejnsky: Remote European Engineering Works Once the Product Roadmap Is Clear
“Once once you have like a clear idea of what your product looks like, Then you can find really good expert on certain part of your infrastructure on, on database, and things like that, and just, like, have, like, top talent get top talent for that. The reason …”