Your MRR isn't just churning. It's bleeding.

I worked with a dozen SaaS founders and every single one was treating two different problems as one, so I built Recurflux.

Over the last couple of years I worked with a bunch of SaaS founders in the $30k-$100k MRR range. Different products, different markets, different processors. But I kept running the same numbers and kept landing in the same place.

Cards failing at the processor level. Roughly 2% of MRR every month, failing silently. No alert, no email, nothing.

The subscription just... stops. At $50k MRR that's $1,000/mo gone. About $630 of it recoverable in 72 hours if the retry logic is actually tuned to the failure code. Most of the time it wasn't.

Then cancellations on top of that. $1,500/mo of MRR walking to the cancel button every month at that same scale. No intercept, no pause offer, nothing between the customer and the door. About $450 of that saveable if something was in the way.

So $1,080/mo. Leaking. Every month. And every single founder was calling it "churn" and blaming the product.

That's what got me. Not one client. All of them. Same misdiagnosis, different company.

So I looked at the tools. Properly this time.

Churnkey is genuinely good for cancellation flows. But it's $250+/mo and does nothing when a card fails silently. Churnbuster and Stunning handle the dunning side. But they do nothing when a customer actually hits cancel. To get full coverage today you're paying $250+ for one problem and $200+ for the other.

$450+/mo. For both halves of the same problem.

And honestly, that price makes no sense for a founder at $50k MRR where the whole point is that the tool should cost a fraction of what it recovers. There was just... nothing there. Nobody doing both at a price that fit.

So I built Recurflux.

A cancellation flow that sits in front of the cancel button. Reason survey first, then a tailored offer based on why they're actually leaving - pause, discount, downgrade, whatever fits. No engineering on your end. The pause option specifically changes the math a lot: paused customers resume at 40-60%. Win-back after they've already cancelled is 10-15%. Catching them before they leave is a completely different situation.

Smart retry logic tuned to 30+ specific decline codes. Not the same retry on a timer. insufficient_funds on a Tuesday morning hits differently than do_not_honor, the timing and approach need to be different. Retry count matters less than retry logic.

Card health monitoring that scans every active subscription for cards expiring in the next 30 days and sends a branded update link before the charge runs. The failure never happens. No dunning needed, no retry wasted.

than retry logic.

Card health monitoring that scans every active subscription for cards expiring in the next 30 days and sends a branded update link before the charge runs. The failure never happens. No dunning needed, no retry wasted.

A dispute rate monitor tracking your rate against Visa and Mastercard thresholds in real time. Most founders find out they're near breach when the formal letter arrives. This one alerts before that.

And it works across Stripe, Paddle, Razorpay, and RevenueCat for mobile. Every other tool I found picks one processor.

If you're on Paddle or building a mobile subscription on RevenueCat, you basically have nothing right now. That gap kept coming up with clients too.

I'm looking for 3 founders to connect their processor, pull 90 days of real recovery and retention data, and share the results as a case study.

In return: code EARLY40 at checkout - 40% off, so $35/mo instead of $59, plus direct access to shape what gets built next. Your feature requests go to the top of the queue. That access goes away once I'm past 10 customers.

Plug in your MRR and processor, it'll show you exactly what's leaking and how much is recoverable:
https://recurflux.com/resources/recovery-calculator