Validating DefendChurn – Early warning system for SaaS customer churn

Hacker News

Hi HN, I've been observing a pattern in SaaS communities: founders discovering churn after it's too late to prevent it. Common posts I see: • "Lost 3 customers to expired cards this month" • "Customer disappeared without warning" • "Realized my churn rate is 12%, not the 6% I thought" The problem seems to be reactive discovery vs. proactive prevention. Most churn appears to have warning signs 1-3 weeks early: - Failed payment attempts (during Stripe's retry period) - Login frequency drops 50%+ - Decreased feature usage - Support tickets about basic features So I'm building DefendChurn: connects to Stripe, monitors these signals, sends daily Slack alerts for at-risk customers with pre-written save email templates. Currently validating demand with a waitlist: https://defendchurn.space Questions for HN: 1. Is this solving a real problem or am I imagining it? 2. What other churn warning signs should I track? 3. Any technical approaches you'd recommend for analyzing customer behavior patterns? Built for micro-SaaS (simple setup, affordable pricing) rather than enterprise. Feedback welcome – especially from anyone who's dealt with SaaS churn!

Visit product View on Hacker NewsMay 24, 2025

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nativeThis product was originally launched on this platform.

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