Indie hackers often miss early churn signals because they lack resources for sophisticated predictive modeling.
Offer a lightweight dashboard that highlights behavioral red flags based on just a few key metrics like login frequency and feature engagement.
Solo founders and small teams would pay for actionable alerts without data science complexity.
Start by analyzing patterns from failed startups to identify the 3-5 most predictive early indicators.
The risk is oversimplifying complex user behavior into false positives.