ReChurn

AI payment recovery for SaaS. Flat $49/mo, no revenue share.

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March 30, 2026 I checked my Stripe dashboard and realized 30% of my churn wasn't even real cancellations

So this is kind of embarrassing. I spent weeks trying to figure out why people were leaving my SaaS. Tweaked onboarding, added features, even surveyed users.

Then I actually looked at the data. Turns out a huge chunk of my "churn" was just credit cards failing in the background. Expired cards, bank declines, insufficient funds. These people still wanted my product. They just... disappeared from my MRR without knowing.

I looked at tools to fix this. Churnkey wants $250+/mo. Paddle Retain takes 10 to 15% of whatever you recover. Gravy starts at $997/mo. For a small SaaS doing $10k MRR that's insane.

So I built Rechurn. It connects to Stripe, sends a sequence of emails when a payment fails, and shows the customer a page where they can update their card, pause, or grab a discount. $49/mo flat. You keep 100% of what you recover.

A few things I learned that work even without a tool:

  1. Don't retry "insufficient funds" immediately. Wait 6 to 8 hours. Recovery rate jumps.

  2. Just sending one simple "hey your payment failed" email with a card update link recovers 15 to 25% by itself.

  3. Giving people a "pause" option when their payment fails stops them from ghosting completely.

Curious what other founders here are doing about this. Are you just letting Stripe handle it and hoping for the best? Would love honest feedback on the product too.

1 Comment

  1. 1

    The pause option is the right call — most founders skip it and end up with hard churn when the customer just needed two weeks.

    One thing caught our eye in your privacy policy. Stripe OAuth tokens with AES-256-GCM at rest is solid, but those tokens are also your highest-value attack target — if they leak, an attacker has read access to your customers' entire Stripe account, not just yours. The question worth testing is whether your RLS policies actually isolate one account's tokens from another. Supabase RLS is one of the most common sources of IDOR findings we see — easy to misconfigure in a way that looks correct until someone actually probes it.

    The AI email generation via Groq is another surface worth thinking about — if customer data passes through the prompt, prompt injection is easy to miss and increasingly what security reviews ask about.

    We're the team behind Nautillo Pro — automated attack simulation that tests exactly this kind of thing and returns HTTP-level proof for every confirmed finding. Happy to run a free scan on Rechurn and share the full report. Given what you're storing on behalf of your customers, good to know before your first enterprise signup asks for a security review.

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I got tired of watching indie founders bleed MRR to failed payments. It's a solved problem, but only if you can afford $250+/mo. Rechurn exists so small SaaS teams can recover revenue without the enterprise price tag.