The Databuddy Manifesto

Google Analytics violated GDPR so many times that entire countries banned it. Then they replaced it with GA4, which somehow made everything worse. Amplitude costs more than most startups' entire cloud bill. PostHog ships a script heavier than some landing pages.

And what do you get for all of it? Dashboards. Hundreds of dashboards nobody opens after the first week.

The industry optimized for complexity because complexity justifies pricing tiers. More features, more seats, more events, more money. Nobody stopped to ask whether any of it actually helped you make a better product.

If your tool needs a certification program, it's not a tool. It's a tax.

Here's the dirty secret about privacy-focused analytics: most of them just show you numbers.

Page views. Bounce rates. Referrers. Clean, private, and completely useless on their own.

Knowing 500 people signed up yesterday tells you nothing. Knowing that 400 came from a Hacker News post, 60% hit an error on onboarding, and only 12 activated a core feature? That tells you exactly where to spend your morning.

Raw data is not insight. Context is. That means connecting web analytics to product analytics to errors to performance, all in one place, so you can trace a user’s journey from first click to “aha” moment without duct-taping four tools together.

Every privacy tool out there got the first part right: stop tracking people. But they stopped too early. They gave you the numbers and left you to figure out the story yourself.

I’m building the tool that tells you the story.

Some companies put “privacy-first” in their tagline and charge you extra for it. Others use it as a marketing angle while still fingerprinting your users behind the scenes.

Privacy isn’t a feature. It’s the bare minimum.

Databuddy’s tracking script is 30KB. No cookies. No fingerprints. No personal identifiers. No consent banners scaring away 30–40% of your visitors before they even see your product. You install it, and it works. Your users never know it’s there, because it never asks them for anything.

This isn’t a tradeoff. You don’t lose insights by respecting people. You lose insights by making half your visitors click away from a cookie popup.

The best analytics UI is a conversation.

I don’t think you should need to learn a query builder, memorize filter syntax, or drag widgets around a canvas to understand your own product. You should just ask.

Databunny, the AI agent inside Databuddy, answers in seconds. It builds the charts. It writes the reports. It emails you the things you should care about before you even think to ask.

The future of analytics isn’t more dashboards. It’s fewer. It’s an agent that knows your data well enough to surface what matters and shut up about what doesn’t.

Databuddy is for the founder who checks analytics between deploys. The engineer who wants to know if the feature they shipped last night actually moved a number. The two-person team that doesn’t have a “data person” and shouldn’t need one.

I’m not building for enterprises with 50-person data teams. I’m building for the people who are actually making things, and who need their tools to stay out of the way while they do it.

One script. One platform. The full picture.

That’s it. That’s Databuddy.

— Issa Nassar

Founder, Databuddy Analytics