Cube 100 Program
Cube 100 · Founding Users Program — A case study initiative for the first 100 teams running AI agents in production.
Overview
The Cube 100 Program is a global call for the first 100 real, tellable, and measurable AI agent sandbox case studies — from teams and organizations already using, or about to use, CubeSandbox.
Since going open source in April 2026, CubeSandbox has surpassed 10,000 GitHub stars in 80 days, shipped 11 releases, welcomed nearly 70 global contributors, and accumulated over 560 commits. Teams are already running Cube in production — powering AI agents, coding copilots, and data-analysis workloads.
The Cube 100 Program aims to systematically capture these real-world practices, giving the community reference architectures and deployment blueprints to learn from — while offering selected teams full-stack engineering and ecosystem support.
📋 Ready to submit your case? Head straight to the Application Form. It takes about 10–15 minutes.
What to Include in Your Case Study
Your submission should cover the following:
| Section | What to include |
|---|---|
| Adoption stage | Where you are with CubeSandbox today (production / POC / personal project, etc.) |
| Use case | The role CubeSandbox plays in your stack (e.g. agent code-execution sandbox, data-analysis environment, CI/testing sandbox, agent-platform foundation) |
| Core challenge | The key technical or business problem you faced before choosing Cube |
| Solution | How you solved it with CubeSandbox — including your architecture and the features you relied on |
| Measurable outcomes | At least one externally shareable metric (e.g. cold-start latency, sandbox density, infrastructure cost, throughput) |
| Deployment scale | Current Cube deployment size (internal testing / small-scale production / medium-to-large production) |
| Migration context (optional) | What you were using before and why you switched to Cube |
We recommend attaching supporting materials such as architecture diagrams, deployment screenshots, or key-metric charts.
Selection Rules
- The first cohort is capped at 100 seats. First come, first reviewed, first accepted.
- Applications not selected in this round automatically roll into the next candidate pool with priority review.
Selection criteria:
| Criterion | What we look for |
|---|---|
| Authenticity | A real business scenario — not a pure demo. You can share at least one of: architecture diagram, deployment screenshot, or a key metric. |
| Narrative clarity | A clear use case, a thoughtful stack choice, and a solid answer to "why Cube?" |
| Measurable impact | At least one publicly shareable metric — performance, cost, efficiency, or scale. Any one works. |
Support Package
Selected Cube 100 cases receive the following official support:
Engineering & Ecosystem:
- Direct access to the Cube core contributor and user community
- Standout cases get 1:1 sessions and on-site technical briefings from the Cube engineering team
- Early access and private beta for new features and releases
- A seat at the table for Cube's future roadmap discussions
- Priority referrals for ecosystem-level commercial partnerships
Community:
- Official "Case of the Year" certificate and contributor medal
- Cross-channel co-promotion (X, Discord, WeChat, and more)
- Dedicated case page on the Cube website — including your logo, architecture diagram, and a long-form write-up
- Outstanding cases receive free amplification across leading tech media
- Inclusion in the official Cube Landscape
- Speaker slot opportunity at the Global AI Infra Open-Source Summit (500 attendees), plus promotion and VIP passes
How to Apply
We collect case submissions through an online form. Please set aside 10–15 minutes to complete it. You'll hear back from a real person on our team within 5 business days — not an auto-reply.
Not a strong writer? No problem — we'll take your raw materials and reshape them into a polished, readable case study. All information stays within the Cube operations team until you give explicit permission.