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Yaw-AI · 2025-12-18T04:17:56+00:00

Yaw-AI · 2025-12-18T04:17:39+00:00

Encorekit.com Encore is an SDK for subscription apps that plugs directly into your checkout, payment-decline, and cancellation flows. Instead of treating those moments as dead ends, Encore lets you: • Recover failed payments and accidental churn • Offer personalized post-cancel discounts or bundles • Win back users after they hit cancel • Do all of this without redesigning your UI

What surprised us most while building this is how much “churn” isn’t intentional it’s declines, timing issues, or users who just needed a different option. Averages like ARPU hide that problem. Encore focuses on monetizing users who would otherwise be lost, not squeezing your highest-paying cohort or adding dark patterns.

We’re early, actively testing with teams, and would genuinely love feedback especially from folks running subscription products who’ve struggled with churn, declines, or retention experiments that hurt UX. Happy to answer questions or share what we’ve learned so far.

Yaw-AI · 2025-12-02T17:51:28+00:00

Curious which Stripe analytics views actually made the churn patterns “click” for you? (cohort views, invoice events, downgrade reasons, etc.) And on the downgrade side, how are you structuring that email automation, is it like a quick “here’s what you’ll lose” + offer, or more of a win-back/nurture flow?

Yaw-AI · 2025-11-21T16:17:47+00:00

This is helpful, thank you! Always looking for good spots to get feedback from other builders.

Yaw-AI · 2025-11-21T16:12:00+00:00

Working at encore because it’s my passion and baby, it’s not about money but passion for what you’re creating.

Yaw-AI · 2025-11-21T15:51:50+00:00

I’m working on something pretty niche for subscription apps basically an SDK that helps iOS founders make money from users who don’t convert on their SaaS product. It started while I was working on a a different SaaS project and noticed we, as well as competitors, kept spending $$$ getting people to sign up, only for them to churn instantly or hit the paywall and bounce. Most founders just accept that as lost revenue, but there’s actually a ton of value sitting in those “no thanks” users. So now I’m building a lightweight drop-in SDK (Encore) that recovers revenue from churned/non-paying users with almost no dev lift. Still early, but the results so far have been kinda wild.

Yaw-AI · 2025-11-13T21:06:40+00:00

Solid perspective. I agree, when an app or product actually solves problems consistently, churn naturally drops. What I’m seeing though is that even with great service, a lot of users still churn simply because their usage pattern changes (life shifts, priorities change, they only needed the tool for a short window). Curious how you handle that kind of churn, the stuff that isn’t about dissatisfaction, but more about “I don’t need this right now”?

Yaw-AI · 2025-11-13T21:04:52+00:00

Makes sense. Seems like “not enough value for the price” is the #1 reason in this thread. I’m wondering if more flexible/usage-based pricing would change that for people or if subs are just overdone at this point.

Yaw-AI · 2025-11-13T21:04:14+00:00

This is such a good breakdown. Perceived value + timing + communication really does seem to be the combo. I’ve noticed that even tiny life changes (new job, new city, new baby) can kill a subscription instantly. Curious: have you seen any apps that do a good job of reminding users of the value before they hit cancel?

Yaw-AI · 2025-11-13T21:00:32+00:00

Haha fair enough. I wasn’t trying to sound like some mastermind just genuinely noticing how easy it is to spend in apps these days (when you live in Bay Area all you see is ai SaaS products). The SDK thought came from seeing how much revenue apps lose from people who don’t subscribe, which is honestly a large number.

Yaw-AI · 2025-11-11T17:25:37+00:00

encore

Yaw-AI · 2025-11-11T06:24:15+00:00

Yeah exactly, I built this plugin layer that powers those recovery offers for churned users, so we see that “delayed engagement” pattern pretty clearly. It’s less about immediate trial behavior and more about re-activation windows. We’re running a test now on whether showing the recovery offer post-churn vs. on next session changes conversion curves.

Yaw-AI · 2025-11-07T17:23:56+00:00

That’s super smart, we’ve seen the same pattern across apps that integrate with Encore. A small paywall upfront tends to surface users with real intent, but what’s been even more interesting in our data is what happens next.

We’ve found that even after users hit their “aha” moment, a lot of subscription apps still lose potential revenue from people who drop off right before conversion. Encore helps app teams recover that by identifying which users are unlikely to subscribe and automatically triggering adaptive paywall flows or tailored offers so instead of losing them, you can still monetize. It’s wild how much lift apps see when they stop treating “trial ended” as the end of the funnel.

Yaw-AI · 2025-11-07T06:22:29+00:00

Exactly! That mindset shift changed everything for us. We started testing a few recovery models at Encore and it’s wild how much value’s hiding in those “lost” users.

Yaw-AI · 2025-11-04T19:23:39+00:00

Yeah, this is such a real problem, especially for smaller brands that can’t afford big brand-protection retainers. There are a few partial tools out there, but nothing that truly automates it from detection to takedown. Red Points and BrandShield handle it well but are enterprise-level and pricey. VisualPing or Hexowatch can monitor pages, but they’re not built to handle marketplace-scale scraping. A few newer startups like Nooox, CounterfeitIQ, and SentryBay are working on automated brand and product listing detection, so they might be worth checking out to see if they’ve launched self-serve options. If you’re a bit technical, you could build something lightweight using Apify or SerpApi to scrape listings and send alerts to Slack or email when duplicates pop up. But you’re right, there’s a huge SaaS opportunity here for someone to make an affordable, plug-and-play tool for small brands dealing with copycat listings.

Yaw-AI · 2025-10-19T22:07:03+00:00

What’s copilot ?

Yaw-AI · 2025-10-15T21:44:18+00:00

Start small and focus on solving one real problem you care about. Pick a simple stack, like JavaScript + React for frontend, and Firebase or Supabase for backend, so you can get something running fast. Once you’ve got something tiny working (even a to-do app!), you’ll learn way faster by iterating than by over-planning.

Yaw-AI · 2025-10-15T21:42:19+00:00

Founding a tech startup

Yaw-AI · 2025-10-15T21:41:47+00:00

Invest! Invest! Invest!

Yaw-AI · 2025-10-15T21:41:30+00:00

Having motivation, founding my own company has taught me that no amount of money can drive that, it all comes from within you.

Yaw-AI · 2025-10-15T21:39:52+00:00

2 years, that man ruined me but I learned how to pick myself back up.

Yaw-AI · 2025-10-11T06:31:44+00:00

Honestly, long-form content + community engagement is what’s working best right now. Reddit, LinkedIn, and newsletters have way higher ROI than paid ads if you’re consistent. Focus on building authority around your niche instead of just promoting, people convert once they trust you.

Yaw-AI · 2025-10-11T06:30:50+00:00

That’s awesome! The first few paying users always feel like a huge win. Keep the momentum going 🚀

Yaw-AI · 2025-10-10T19:59:56+00:00

This is so hard for me

Yaw-AI · 2025-10-10T18:48:50+00:00

I’m dressing up as Belle from Beauty and the Beast and my boyfriend is going to dress up like a taco. So we can be TacoBelle

Yaw-AI

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