Systems | Development | Analytics | API | Testing

When people search for "best analytics tools," they usually find lists that include the same names: Depending on the month, some new or unexpected names may also appear. Regardless, they typically lead to a quick summary, showing off their respective pros and cons for each, and a link to their pricing pages. Useful basic information, sure, but what they do not do is show what matters most: Showing what your team needs to own, understand, and protect.

Most companies believe they own their customer data. Most are wrong. Data is your most powerful asset for fueling decisions, improving customer experiences, and providing a competitive edge. But if your customer, marketing, or product teams rely on third-party analytics tools, there’s a great chance you don’t actually own your data. It’s processed, stored, and sometimes even monetized by vendors who decide your access and control levels.

Anyone who has tried to build a recommendation engine or a churn predictor knows the moment the excitement fades. The prototype looks good in the notebook, but the training data contains typos, half-missing properties, and events that somehow morphed between different devices. The model stumbles, engineers lose faith, and everyone wonders where all that AI magic went.

It’s not every day you get to zoom out and talk about the why behind what you’re building. That’s exactly what Countly’s CEO, Onur Alp Soner, did recently on The SaaS Podcast—a conversation that turned into part reflection, part therapy, and part roadmap. The episode dives into the early days of Countly—when it was just a Hacker News post, a stubborn belief in data ownership, and a string of long nights spent building in open source.