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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/2…
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, supporting runs that last anywhere from seconds to more than nine hours.
The same infrastructure powers Optima, Artificial Analysis’s recently launched product that lets enterprises build custom benchmarks using their own files, agent traces, or coding environments.
With sensitive enterprise data involved, the team closely evaluated E2B and was confident it met the requirements of their enterprise customers.
youtube.com/watch?v=M3h3kC1o…
"Security is very core to how we think about our infrastructure at Artificial Analysis. We’re dealing with access to pre-release models, and so we can’t have any concerns around the security of sandboxes."
- George Cameron @grmcameron, Co-Founder and CPO, Artificial Analysis
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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! 🚀
e2b.dev/resources/nvidia-ver…
E2B retweeted
Was a pleasure working with the @e2b team on this.
Agents are a new type of customer that you must be able to sell to frictionlessly, and @mpp on Tempo is the fastest, cheapest and simplest way to go about it.
I know how I'll be running my evals now!
Your agents can now pay for E2B sandboxes with stablecoins on @tempo wallet.
The agent never holds the wallet’s key, and you can see every payment it makes.
In the demo, an agent pays for its own E2B sandbox and uses it as a remote machine.
Try it: docs.e2b.dev/use-cases/agent… and get 5% off as part of the launch.
Shoutout to @privy_io for powering the wallet E2B uses to receive stablecoin payments.
Your agents can now pay for E2B sandboxes with stablecoins on @tempo wallet.
The agent never holds the wallet’s key, and you can see every payment it makes.
In the demo, an agent pays for its own E2B sandbox and uses it as a remote machine.
Try it: docs.e2b.dev/use-cases/agent… and get 5% off as part of the launch.
Shoutout to @privy_io for powering the wallet E2B uses to receive stablecoin payments.
E2B retweeted
No other company can do what E2B does to help Agents continuously optimize the tools they use. Congratulations to @E2B @mlejva
We hit an annualized run rate of $120M in October.
This year alone, we’re projected to add around $150M in net new revenue. This is an amazing milestone and a testament to the work of the @e2b team.
I’m particularly excited about two things:
1/ This showcases how strong the tailwinds of AGL (Agent-Led Growth) can be.
If you build a tool for agents and optimize your whole growth engine to serve them, you can see tremendous growth. This isn’t something you can just throw money at and buy. Agents don’t decide based on ads. You need a sophisticated growth engine that fine-tunes things like your AEO. I think this is what all future B2B devtool sales will look like. Increasingly, decisions about tool adoption will be made by agents, not humans.
2/ The use cases we’re serving. The majority of our revenue and usage comes from agents running in production. Not RL.
When we started, we had two theses: (i) code is all you need—all agents will use code to complete tasks (which has turned out to be true); and (ii) sandboxes for agentic workloads will be a bigger market than sandboxes for RL workloads, but takeoff will be slower (still playing out).
In the past 30 years, every company has become a software company. In the next 10 years, every company will have become an agent company. We’re building an infrastructure layer to power all these agents.
E2B retweeted
We hit an annualized run rate of $120M in October.
This year alone, we’re projected to add around $150M in net new revenue. This is an amazing milestone and a testament to the work of the @e2b team.
I’m particularly excited about two things:
1/ This showcases how strong the tailwinds of AGL (Agent-Led Growth) can be.
If you build a tool for agents and optimize your whole growth engine to serve them, you can see tremendous growth. This isn’t something you can just throw money at and buy. Agents don’t decide based on ads. You need a sophisticated growth engine that fine-tunes things like your AEO. I think this is what all future B2B devtool sales will look like. Increasingly, decisions about tool adoption will be made by agents, not humans.
2/ The use cases we’re serving. The majority of our revenue and usage comes from agents running in production. Not RL.
When we started, we had two theses: (i) code is all you need—all agents will use code to complete tasks (which has turned out to be true); and (ii) sandboxes for agentic workloads will be a bigger market than sandboxes for RL workloads, but takeoff will be slower (still playing out).
In the past 30 years, every company has become a software company. In the next 10 years, every company will have become an agent company. We’re building an infrastructure layer to power all these agents.
One line of code spins up a sandbox. Need a thousand? It just scales.
Our CTO and cofounder, @co_valenta, on how E2B runs agents anywhere, at any scale 👇
youtube.com/shorts/nZlT1FAYW…
We're a launch partner in the new @FireworksAI_HQ Frontier Ecosystem.
Fireworks fine-tunes and serves open models fast. E2B gives agents built on those models a full Linux machine to run code, use tools, analyze data, and browse the web.
Build with both to give your agents fast open models and a full machine to put them to work.
Docs: docs.e2b.dev/quickstart/conn…
The future of AI is specialized intelligence with models tuned to your data, your domain and your customers.
Today, we're proud to launch live from Forge the Fireworks Frontier Ecosystem with 60+ partners across the AI stack, helping you build and ship faster.
Check it out: fireworks.ai/partners
Introducing E2B Workload Identity.
Every sandbox now gets a signed identity, so your backend knows exactly which sandbox is calling and what it can access. No long-lived credentials to distribute or rotate.
Generally available on E2B Cloud, supported in BYOC 👇
e2b.dev/resources/introducin…
E2B retweeted
We're excited to announce our AI Engineer Code Summit speaker lineup!
→ ai.engineer/code
VP Gemini Post-Training Lead, @GoogleDeepMind
CEO, @e2b
CTO, @ExaAILabs
CEO, @warpdotdev
CEO, @aviator_co_
CEO, @fivetran
CTO, @Lovable
CTO, @iamovercut
CTO, @earendilworks (Pi)
CEO, @diffusionio
CPO, @cognition
CTO, @GoodfireAI
MTS, @AnthropicAI
CTO, @composio
GPM, @Cloudflare
MTS, @databricks
CEO, @AmpCode
Co-Founder, @gimletlabs
CEO, @mixedbreadai
CEO, @humanlayer_dev
Head of AI, @MonacoGTM
Lecturer, @UCBerkeley
Principal Engineer, @SpaceXSI
CEO, @TypeSafeAI (Jev)
Founder, Bun at Anthropic
VP Product, @reflection_ai
Research Lead, Reflection AI
Staff Software Engineer, @SonarSource
Principal Software Engineer, @tryramp
Senior Engineering Manager, @netflix
Forward Deployed Engineer, @baseten
Also joining us:
@kevinhou22 — Google DeepMind Antigravity
@Steve_Yegge — Creator of Beads & Gas Town
@lucasmeijer — AgentsInTheCloud.com
@kentcdodds — Software Engineer & Educator
@trq212 — Independent
@simonw — Django, Pelicans, Lethal Trifecta
Presented by Google DeepMind.
November 10–12 in San Francisco.
Attendance is by application.
→ ai.engineer/code
Your AI agent needs a computer. We make it easy to give it one.
Our CTO and cofounder, @co_valenta , breaks down the E2B infrastructure that scales with your agents.
Watch the overview in under a minute 👇
youtube.com/shorts/VVCX4Gqm1…
E2B retweeted
You can now host QM on E2B.
Run QM, its agent computers, and the apps they build on E2B.
More details here: docs.e2b.dev/agents/qm
.@ycombinator open-sourced the agent harness it uses internally, @qm__dev. It gives everyone on your team their own agent in Slack, so every agent needs a computer to work in.
That computer can now be an E2B sandbox. Set "sandbox.backend": "e2b" and every person and channel gets an isolated sandbox from the qm-sandbox template, with the GitHub CLI, the AWS CLI, Claude Code and Codex preinstalled.
Ask QM to run your tests and open a PR, and it does the work in your sandbox without touching anyone else’s.
Run all of QM on E2B with e2b sandbox create qm, or point your existing deployment at it.
docs.e2b.dev/agents/qm#qm
.@ycombinator open-sourced the agent harness it uses internally, @qm__dev. It gives everyone on your team their own agent in Slack, so every agent needs a computer to work in.
That computer can now be an E2B sandbox. Set "sandbox.backend": "e2b" and every person and channel gets an isolated sandbox from the qm-sandbox template, with the GitHub CLI, the AWS CLI, Claude Code and Codex preinstalled.
Ask QM to run your tests and open a PR, and it does the work in your sandbox without touching anyone else’s.
Run all of QM on E2B with e2b sandbox create qm, or point your existing deployment at it.
docs.e2b.dev/agents/qm#qm
E2B retweeted
Cloud coding agents are a surprisingly hard infra problem, and it’s been awesome working with @mlejva and team to deliver fast, reliable coding agents in niteshift.dev on @e2b!
Niteshift gives coding agents full dev environments on E2B, with complex Docker workloads and live previews that resume in seconds. Co-founder and CEO @smehmood joins @mlejva to share why they chose VMs and how memory snapshots enabled live preview for him.
youtu.be/DwKygsUok8Y