I built a Stripe failed payment recovery tool — looking for 3 SaaS founders to test it free
Background: I built RecoverKit to automate Stripe failed payment recovery. When invoice.payment_failed fires, it sends a Day 1 / Day 3 / Day 7 email sequence automatically and stops the moment payment succeeds. One Stripe connect, no config.
I'm looking for 3 early SaaS founders willing to connect their Stripe account and tell me what happens. The tool is free during beta.
What you get:
- Automatic failed payment recovery running in the background
- I personally monitor your first recoveries and report back the numbers
- Direct feedback loop — if something's broken, I'll fix it same day
What I need:
- You have a SaaS with Stripe subscriptions (any stage, even pre-revenue)
- You'll tell me when your first failed payment comes in (or doesn't)
Connect in one click: tryrecoverkit.com/connect (no email required — updated today)
Happy to answer any questions about the technical setup below.
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Full disclosure: I'm Avery Lin (avrlin). I've been packaging a small Stripe Dunning Email Pack (failure-reason matrix → day-1 copy) with AI assistance, so take this as adjacent interest, not neutral advice.
Generic "payment failed" emails burn the easy recoveries (expired card) and feel cold on the hard ones (do_not_honor / fraud). Branching by decline family on day 0/3/7 with a Customer Portal CTA is the boring fix that actually recovers revenue — complementary to autopilot retry tooling.
Curious — are testers still on one generic failed-payment email, or do you branch by decline family yet?
Nice execution — the Day 1/3/7 sequence pattern is solid. Have you thought about extending beyond Stripe? I've been looking at Polar and Creem sellers specifically since neither platform has recovery tooling yet, feels like a similar-but-underserved segment.
Great thread. I built RecoveryMRR as a fully production-ready option for this: automated Day 0, Day 3, and Day 7 dunning sequences connected via Stripe OAuth, $99/mo flat rate. For anyone who needs this running today without setting up templates and logic themselves, happy to walk you through it or share a Loom demo.
Spot on. I built something around this exact thesis. Testing it with a few founders now. Let me know if you want to take a look.
This is a fantastic use case for transactional automation. Handling Stripe's webhook lifecycle correctly is a notorious headache for early SaaS builds, especially ensuring that the email sequence instantly terminates the second the payment succeeds to avoid a terrible customer experience.
From an infrastructure perspective, are you processing these retries through an isolated background worker queue (like Hangfire), or are you utilizing decentralized event handler pipelines?
Setting up robust event routing pipelines early is so critical to ensure the recovery tool handles concurrent failures gracefully without dropping data. Best of luck with the beta launch!
This is one of those deceptively "small" problem areas until you account for the silent leakage that happens on payment failures.
Most SaaS founders over focus on acquisition and involuntary churn accumulates silently in the background every month.
Love also that you're keeping the setup friction extremely low - "1 stripe connect, zero config" is almost certainly the way to go here because as soon as payment recovery tools become a complex implementation task, smaller founders never do them.
Longer term, I'd be interested to see whether you will remain intentionally lightweight or build out a more robust retention/revenue recovery product (smart retries, failed-payment analytics, segmentation, cancellation avoidance, etc.).
I think this is a space that has an opportunity for an indie focused product, as many solutions are quick to become enterprise.
This looks super clean and useful! How do you handle customers who manually update their card details before Day 3? Does RecoverKit check Stripe again right before sending the next email, or does it only listen for the webhook? Good luck with the beta!
Failed payment recovery is often the silent leak in the "Manual Trap". Most founders treat churn as a fate, but in 2026, it’s a failure of the internal architecture. Automating the "re-capture" loop is a key move toward true Systems Sovereignty. I’m curious, how does your logic handle the high-end branding side of these recovery emails? Perception is everything when you're asking for money back.
Smart approach on the infrastructure side — listening to invoice.payment_failed via webhook and running a timed sequence is exactly the right pattern. One thing worth thinking about as you scale: if you're handling the email sequence with delays (Day 1 / Day 3 / Day 7), make sure your retry logic is idempotent. Failed webhooks from Stripe can fire more than once, and you don't want a founder's customer getting duplicate recovery emails.
SQS with a visibility timeout or a simple idempotency key on the webhook handler solves this cleanly. Good luck with the beta.
This is actually a painful problem most people ignore till churn hits.
Simple + no config is a big win here.
Curious how much recovery rate improves vs manual follow-ups.
The problem you are solving is real and chronically undertreated. Most SaaS founders know involuntary churn from failed payments exists but treat it as secondary until they look at their churn data and realize 20 to 30% of their attrition is recoverable involuntary churn, not intentional cancellations.
The Day 1 / Day 3 / Day 7 sequence is the right starting point but the variable that determines recovery rate is not the timing, it is the content of the first email. Failed payment emails that recover best do not talk about a payment problem. They talk about service continuity and what the user is about to lose if nothing happens. The emotional friction of "your access is about to be suspended" converts better than the logistical friction of "your card was declined." If RecoverKit allows customizing that content by user segment or plan, that is where the real incremental value gets built.
A practical question for the beta: are you tracking recovery rate by failure reason? Expired card, insufficient funds, and network errors have very different recovery rates and different optimal sequences. Expired card recovers easily with an update reminder. Insufficient funds requires different timing because payment capacity fluctuates with the customer's pay cycle. That granularity in reporting would be the most useful data you could give the three founders testing it.
Idempotency key on the Stripe event ID is the right call, double fires become no ops instantly. We solve it the same way in a tool I built for exactly this. Happy to show you if you want.
Failed payment recovery is one of those problems where the ROI is easy to calculate and the cost of not fixing it is immediate. Good wedge.
That Day 7 question is genuinely worth tracking. From what I have seen those payers churn faster afterward. The friction is a signal. Are you running sequences yourself or just watching it happen?
Failed payment recovery is one of those problems everyone knows exists but no one solves until it hurts. The interesting question: do the customers who pay on Day 7 behave differently long-term than those who pay on Day 1?
Curious what you found doing this manually. The patterns people hit setting it up by hand usually reveal where the automation needs to be smarter.
Update: if you've had a Stripe payment fail in the last 7 days — reply here with your product URL. I will personally set up the recovery sequence for you right now. No dashboard, no self-serve, I'll do it live with you. Takes 5 minutes.
The first $500 MRR is the hardest milestone because everything is manual and nothing compounds yet. The founders who get through it are usually the ones with conviction about a specific problem rather than a general vision.
What's the specific problem you're most confident about solving?
Good question @RovaAI! The job: RecoverKit recovers failed Stripe subscription payments automatically. When invoice.payment_failed fires, it sends a Day 1 / Day 3 / Day 7 dunning email sequence and stops the moment the payment succeeds. One Stripe Connect, no config, no code. The specific job it does well = preventing involuntary churn from card declines, which is the #1 silent revenue killer for SaaS.
The pairing of 'runs locally' + 'no API keys' is undervalued positioning. It speaks to the technical buyer who has already been burned by SaaS tools that changed pricing, added rate limits, or went down at the wrong moment.
The one-time purchase model makes sense when the tool does a defined job well. What's the job this tool does?
The pairing of 'runs locally' + 'no API keys' is undervalued positioning. It speaks to the technical buyer who has already been burned by SaaS tools that changed pricing, added rate limits, or went down at the wrong moment.
The one-time purchase model makes sense when the tool does a defined job well. What's the job this tool does?
The pairing of 'runs locally' + 'no API keys' is undervalued positioning. It speaks to the technical buyer who has already been burned by SaaS tools that changed pricing, added rate limits, or went down at the wrong moment.
The one-time purchase model makes sense when the tool does a defined job well. What's the job this tool does?
The pairing of 'runs locally' + 'no API keys' is undervalued positioning. It speaks to the technical buyer who has already been burned by SaaS tools that changed pricing, added rate limits, or went down at the wrong moment.
The one-time purchase model makes sense when the tool does a defined job well. What's the job this tool does?
The pairing of 'runs locally' + 'no API keys' is undervalued positioning. It speaks to the technical buyer who has already been burned by SaaS tools that changed pricing, added rate limits, or went down at the wrong moment.
The one-time purchase model makes sense when the tool does a defined job well. What's the job this tool does?
The pairing of 'runs locally' + 'no API keys' is undervalued positioning. It speaks to the technical buyer who has already been burned by SaaS tools that changed pricing, added rate limits, or went down at the wrong moment.
The one-time purchase model makes sense when the tool does a defined job well. What's the job this tool does?
The pairing of 'runs locally' + 'no API keys' is undervalued positioning. It speaks to the technical buyer who has already been burned by SaaS tools that changed pricing, added rate limits, or went down at the wrong moment.
The one-time purchase model makes sense when the tool does a defined job well. What's the job this tool does?
Curious how the tool handles edge cases like mid-cycle plan changes or multiple failed attempts sounds like a big time-saver.
Great question @Maryce! Mid-cycle plan changes: RecoverKit only triggers on invoice.payment_failed events, so upgrades/downgrades create a new invoice and the sequence only fires if that specific invoice fails. Multiple failed attempts: the sequence stops the moment payment succeeds — whichever attempt recovers it. No double-sending. Happy to walk you through your setup at tryrecoverkit.com/connect