We serve where no one else does.
Most churn prevention tools are built for Stripe users. That's it. Stripe, Stripe, Stripe. And if you're using anything else? Good luck finding something that actually works for you.
That's exactly why we built Recurflux differently.
Today, we officially added RevenueCat to our list of supported platforms. If you're a mobile app or subscription business running on RevenueCat, Recurflux now has your back.
Here's everything we're bringing to RevenueCat users:
Smart dunning sequences - automated retry logic that recovers failed payments before they churn
Dispute and chargeback alerts - get notified the moment a dispute is filed so you can respond fast
Cancellation flow interception - catch users before they cancel and show them the right offer at the right time
Revenue recovery dashboard - see exactly how much revenue you've recovered, in real time
Subscriber health scoring - identify at-risk subscribers before they even think about leaving
Custom webhook triggers - plug Recurflux events into your existing stack without friction
Multi-platform support - if you're using RevenueCat alongside Stripe or Paddle, we handle that too
RevenueCat has millions of subscriptions running through it, and almost no tooling exists specifically to reduce churn on top of it. That gap is where we live.
If you're a RevenueCat user tired of watching subscribers quietly disappear, come check us out. We'd love your feedback, and honestly, we're still building this out so your input will directly shape the product.
Get your first tool that pays for itself : " https://recurflux.com/ "
Smart move targeting RevenueCat — that gap is real. Most dunning tools assume Stripe and nothing else, which leaves mobile-first subscription businesses completely underserved. Curious how your subscriber health scoring works in practice: is it rule-based thresholds or something trained on behavioral signals? Would love to see a breakdown of recovery rates by platform once you have enough data.
Exactly right on the gap, most dunning tools were built Stripe-first and retrofitted everything else. Mobile billing has different failure patterns entirely; the retry cycle is owned by the App Store and Play Store, so recovery is email-only and timing matters more than it does on web.
On health scoring: right now it's rule-based, we're working off failure type, recency, and retry history across 30+ failure codes. It tells you what failed and when, which is enough to prioritize outreach meaningfully. Behavioral signals (payment history trends, engagement, plan trajectory) are on the roadmap - that's where scoring gets genuinely predictive rather than reactive.
Recovery rate breakdown by platform is something we're actively building toward, need more volume per processor to make the numbers meaningful. Will share publicly once the data holds up.
Not exactly in this space, but I'm building Pronto — an open-source POS/CRM for service SMBs (salons, barbershops, auto shops). Omnichannel notifications are a core feature, so failed delivery patterns and retry logic are something I think about a lot. Different problem, similar underlying mechanics.
Happy to stay in touch — churn tooling for SMB SaaS is something I'll need eventually.
Pronto is an interesting wedge, most POS tools for salons are either too enterprise or too basic. Open source angle makes sense for trust building with SMB owners. What's the biggest friction you've seen so far in getting shops to actually adopt new software?By the way, are you on Twitter or anywhere else? Would be easier to stay in touch there, always good to have sharp builders in the network.
The biggest friction isn't the software — it's the migration inertia. Most shop owners have years of client history in Excel or in their head, and "just import it" is never as clean as it sounds. Second is notification setup — Telegram bots and WhatsApp credentials feel technical even when you've simplified it as much as possible.
The other challenge is payments — getting a billing solution that works without a traditional legal entity has been its own adventure. Still figuring that part out.
Following you on X, would be good to stay in touch: https://x.com/prontopos
100% agree, the "you're losing revenue" pitch falls flat until there's a real number attached to it. That's exactly why we built the calculator as an entry point, it turns an abstract problem into something they can't ignore. Right now most people are finding it through direct outreach and a few Reddit threads, still early days. Working on getting it in front of more RevenueCat and Stripe users specifically since that's where the pain is most acute. Curious if you've seen any channels work well for this kind of tool distribution?
Honestly the channels that work best for a tool like yours aren't the obvious ones, paid ads and cold outreach have terrible conversion for subscription tooling because the founder has to already feel the pain before they care. What actually works is getting the right creator to show the problem visually, someone scrolling through a dashboard, seeing silent revenue leakage in real time, that moment hits different than any landing page copy. We run exactly this kind of distribution. Our network pushed content for a SaaS app across TikTok, YouTube and Instagram, 200M+ views, all from top-tier countries like US, UK, CA, AU. $40k investment, they returned 10x+ from that campaign alone.
For Recurflux specifically this would work really well because the product has a visual payoff, the recovery dashboard, the churn interception moment, the number going up. That's extremely watchable content.
I can show you exactly what that campaign looked like, no fluff, just results. Worth a quick look?
The Stripe-only blind spot in churn tooling is real. Most founders running mobile or hybrid billing have been gluing together their own dunning logic in spreadsheets because the obvious tools assumed everyone was on Stripe. The interesting question is whether you can become the default for RevenueCat-shaped businesses (mobile-first, mixed plans, in-app purchases) before someone builds it natively. That niche has worse tooling than SaaS by a wide margin and the customers actually pay because the leakage is so visible.
The spreadsheet dunning phase is something almost every mobile founder I've talked to has gone through, it's basically a rite of passage at this point. You're right that the window to become the default for RevenueCat-shaped businesses is real but not permanent. Our entire bet is that mobile billing is its own category with its own failure patterns, grace periods, retry logic, and IAP quirks that generic Stripe tooling just wasn't built around. The leakage visibility is actually what makes these founders convert faster once they see their number. Natively built competition will come eventually but distribution and trust compound faster than features do, so we're moving hard on that now.
Every churn tool pitching "multi-platform support" means Stripe plus maybe Paddle if you're lucky. RevenueCat running millions of subscriptions with almost no retention tooling on top of it is a real gap, not a marketing claim. The interesting technical question is how deep the dunning logic actually goes when Apple and Google control the retry behavior, not you. That's where most "RevenueCat support" falls apart. If you've solved that layer, that's the story worth telling loudly.
The moment RevenueCat flags a billing issue, we're already talking to that subscriber. By the time the store figures it out, you've either saved them or started winning them back.
The data infrastructure angle here is underrated. Most SaaS startups tracking churn are doing it from their transactional database -- which means they're seeing point-in-time snapshots, not cohort trends over billing cycles.
When I build out analytics layers for subscription businesses, the first thing I do is model a proper subscription fact table -- one row per subscription per billing period, with payment status, attempt count, and recovery outcome. That's when patterns like "failed payments spike on day 3 of the retry cycle for annual plans" actually become visible.
The RevenueCat integration makes total sense. Mobile billing genuinely has a different failure anatomy than web -- IAP retries are App Store-controlled, not dunning-controlled, and you need to model that differently in your data layer.
For anyone building subscription analytics from scratch, I put together free SQL diagnostic scripts that help catch silent revenue leakage early: https://growthwithshehroz.gumroad.com/l/psmqnx
The subscription fact table framing is exactly right, point-in-time snapshots are why so many founders think their churn is lower than it actually is. The day 3 retry spike on annual plans is a pattern we see a lot too and it almost never shows up in basic dashboards. The IAP point is something most people miss entirely, when the App Store controls the retry logic you have to model outcomes differently rather than trying to influence the timing. Good resource on the SQL side, anyone building this layer from scratch needs that kind of diagnostic foundation before they can even start recovering revenue intelligently.
Exactly right on the IAP modeling — it's a fundamentally different failure anatomy. Stripe gives you dunning control, so you can retry on day 3 vs day 7 and measure the delta. App Store doesn't. Once founders realize that, the entire recovery strategy shifts from "timing optimization" to "pre-churn intervention" — which means subscriber health scoring and cancel-flow interception have to do the heavy lifting instead.
The cohort vs point-in-time distinction is one of the most common data modeling mistakes I see in early-stage SaaS. Most teams query their subscriptions table and get today's state. They lose the history. When you finally build that fact table with one row per billing period, suddenly MRR contraction patterns that were invisible for months become obvious — renewal discounts that eroded LTV, trial-to-paid cohorts performing differently by acquisition channel, etc.
For anyone building this layer: model it right from the start. Retrofitting proper subscription analytics into a transactional schema six months in is painful. My free diagnostic scripts include some patterns for catching silent revenue leakage before it compounds → https://growthwithshehroz.gumroad.com/l/psmqnx
Strong wedge. RevenueCat-first churn tooling is genuinely underserved, almost every retention platform that launched in the last 3 years has Stripe-shaped product DNA, and the assumption "subscription = web checkout" baked into their architecture means they don't translate cleanly to mobile mechanics (IAPs, App Store policies, Apple/Google billing).
One thing worth thinking through as you scale. RevenueCat users are structurally different buyers from Stripe users. Different churn patterns (impulse trial signups, screenshot-driven cancels), different dispute mechanics (Apple/Google handle most of it), different willingness-to-pay for retention tooling. Stripe-native pricing and positioning won't map cleanly.
Curious how you're framing the "multi-platform" angle on the homepage. There's a real risk that supporting RevenueCat + Stripe + Paddle dilutes the RevenueCat-first wedge that's actually defensible. Mobile subscription operators want a tool built for them, not a generalist that happens to support them. Worth testing whether a RevenueCat-only landing page converts better for that specific buyer than the multi-platform one.
The pattern we see constantly at HiveMind with multi-platform tools is exactly this trap, the underserved wedge gets buried under generic positioning trying to capture every adjacent market. Niche down hard on the homepage, broaden in the product. Different conversion math entirely.
The RevenueCat-first wedge is real and we know it, that buyer has been underserved precisely because everyone else built for Stripe and retrofitted mobile as an afterthought. The multi-platform support exists because we kept seeing the same founder managing both a mobile app and a web product losing revenue across both layers with zero unified view. Curious whether your HiveMind portfolio companies running RevenueCat are actually solving payment failure recovery today or just accepting that loss as a mobile tax.
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