Difficulty: 6/10Intermediate

Churn Predictor

Scores every account's churn risk from product-usage signals so sub-$1M-ARR SaaS founders see who is about to leave before they leave. It is the early-warning layer that enterprise customer-success platforms charge thousands for, repackaged at a price a solo founder actually pays.

🎯The Problem

A $400k-ARR SaaS loses 4% of accounts a month and the founder only finds out when the cancellation email arrives, far too late to save them. The signals were all there: logins dropped from daily to weekly, the team stopped using the core feature, seats went unused. Enterprise CS tools like the big incumbents surface this but cost $1,000+/mo and assume a dedicated success team, so indie founders fly blind and react to churn instead of preventing it.

💡The Solution

Connect your product analytics or pipe events via SDK. It builds a per-account health score from usage trends (login frequency, core-action decay, seat utilization, feature breadth), flags accounts whose score is dropping, explains why in plain English, and sends you a weekly at-risk list with suggested save actions.

👥Target Users

B2B SaaS founders and small teams under $1M ARR (roughly 30-500 paying accounts) who use Stripe plus a product analytics tool but cannot justify enterprise customer-success software.

📊Difficulty: 6/10 — Intermediate

This is an intermediate micro-SaaS idea suited for builders with some shipping experience. Expect to work with third-party integrations, more complex data models, and nuanced user workflows that require careful planning.

Estimated Timeline

A few months to a solid MVP

Skills Needed

Full-stack development, API integrations, and background job processing