Whether it’s accessibility information, satellite imagery, live sports results, or transport updates, the data we need is usually buried behind inconsistent APIs, rate limits, and custom auth layers.

For publishers, distributing data at scale is an infrastructure nightmare. As subscribers, we're stuck in endless cycle of writing connectors for each new data source, keeping up with API changes, tweaking polling logic and so on.

We’re building Hypermass - an open platform to make data flow, without the headaches.

The Problem: Data shouldn't be this hard​

It's 2026, sharing a live dataset shouldn't feel like building a custom SaaS product.

The Cost of Publishing​

For enterprises and local government publishing data today, you’re forced to manage hosting, security, scaling, and uptime before you’ve even sent your first byte... and then the real kicker is the ongoing maintenance cost.

If you’re a hobbyist or a researcher this cost is often too much, and we fall back to less than ideal workarounds, like using GitHub, managing data yourself on a CMS, via RSS, on a shared drive, etc.

Both big and small players hit the same problem, it's cost- and effort- prohibitive to get the data out there.

The Integration Tax​

If you’ve ever tried to pull data from disparate sources, you’ve felt the pain. It's not just a case of downloading what you need; you implement custom auth, connect to fragmented endpoints, write recovery strategies, and handle polling intervals... and you do this for every single source you add. ... and then you have to keep on top of API changes.

Hypermass replaces expensive publishing systems and "integration tax" with a single CLI and a unified API - you can get started in minutes.

How Hypermass Works​

We’ve simplified everything down to one concept: The Stream.

A stream is a sequence of immutable files relating to a single subject, in a single consistent format. Whether it's JSON, CSV, or imagery, it lives on Hypermass as a readable, sequential history.

• No more polling: Our CLI tool handles the delivery and subscription logic for you.
• Universal Access: Use our CLI to pipe data into your apps, or hit our API for a standard experience across any stream.
• Transparency: Every stream has a public "About" page. No more guessing what’s inside a dataset before you hit the endpoint.

Why now?​

There's an adage that the best time to plant a tree was 20 years ago, and the second-best time is today. I've personally felt the need for a service like this many times in my career, but I haven't been in a position to make it happen until now.

We’re launching today because the tools are ready, the need is clear, and we're in a position to build it the right way.

Join the Beta​

We’re getting ready for our open beta launch, and we’re looking for early adopters to help us refine Hypermass.

If you have a dataset you want to share, or if you’re tired of writing the same API wrappers over and over, sign up for early access. Early users will have a direct line to our roadmap.

We also have paid tiers available for those who need higher allowances and want to support the infrastructure behind a more open data web. Every subscription helps us grow, and we deeply appreciate the vote of confidence.