Imagine if building data apps was 100x easier—what would change? In the 1990s, photography was deliberate and scarce. Film was expensive. Every photo was a decision. Fast forward to today: with smartphones, photography is instant, cheap, and everywhere. We don’t just capture special occasions anymore—we capture everything.

This same transformation is possible for data apps. Right now, building even simple data apps is complex:

Setting up connectors to pull data Writing SQL to clean and model it Engineering a frontend and backend Deploying and maintaining the stack

The result? Data apps today are reserved for the most critical use cases. No one spends $50K to build a temporary dashboard for a weekend festival or a hyper-local app for a single restaurant. The ROI isn’t there.

But what happens when building data apps costs 1/100th of what it does today?

A restaurant manager could quickly analyze food waste patterns, broken down by dish, time, and chef. A festival organizer could track foot traffic, vendor sales, and bathroom wait times in real time. An individual sales rep could spin up a live dashboard to track their own deal pipeline.

What new behaviors and ecosystems would emerge if building data apps is this fast and cheap?