“Build the Cursor for product management” has become a common idea, including from Y Combinator last week. I’ve been working on this problem for the past year, and the reality is less straightforward. Product management is not something you simply accelerate. It’s something you learn over time, across dozens of tests, through signals that don’t make sense until they do. The challenge is not running more tests, it’s understanding what those tests actually mean in the context of everything you’ve tried and knowing what to do next. Signals don’t exist in isolation. A weak positive might only matter because of something you tried weeks ago. A failure might be the strongest directional signal you’ve had. Quantitative data without qualitative context is misleading, and qualitative feedback without history is noise. Momentum comes from correlating signals over time, not just observing them.
That’s what we built PopHatch to do. We focus on products that have already launched and are trying to find product market fit, because this is where things get hard. PopHatch acts as a copilot that tracks what you’ve tried, interprets signals across quantitative and qualitative inputs, builds memory of how your product is evolving, and uses that to suggest better tests going forward. Not based on generic best practices, but based on what has actually happened in your product. Under the hood, it maintains a living model of signals across positive, neutral, and negative, tied to tests, decisions, and goals, continuously updated as new data comes in. This is where acceleration actually happens, not from doing more, but from learning faster.
We launched today. If you’re building, have something live, and are trying to find momentum, I’d love to work with you and make sure we’re solving this the right way. Reach out at [email protected].