Some days ago, I was scrolling Hacker News (as I often do) and came across a simple and concise post on scalability.
The author, Elijah Potter, reflected on how Harper—his grammar‑checking tool—handled a sudden spike in users after a Hacker News post “with zero issues.” The reason? It runs locally on users’ devices. As Elijah puts it:
“Lots of cloud providers like to brag about being able to scale with their users. I like to brag about not having to scale at all.”
We couldn’t agree more.
We’ve taken the same local‑first approach. Our RAG webapp runs entirely in your browser—on your machine. That means no cloud inference, no central server bottlenecks, and no surprise AWS bills (for us). Whether we have 10 users or 10,000, the infrastructure doesn’t buckle—because the infrastructure is you.
This philosophy shines through in our roadmap: for the CZero Desktop Overlay, we’re doubling down on local‑first, user‑first.
Local‑first isn’t just simpler for us—it’s empowering for users too. By using your own hardware, you scale your AI capabilities affordably and privately.
Every day we read about cloud providers hiking prices or downgrading performance on base tiers. We believe there’s a better way: fast, private, and scalable intelligence—on your terms.
For a while, we believed the future was moving into the cloud. Perhaps there’s still room for life on Earth.
Your personal AI interface. Stay valuable.
