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🔥Invisible Revenue Engine (IRE) 🔥— Find Money You’re Losing Without Knowing: https://bstone3197.bubbleapps.io/version-test/
🙌 Invisible Revenue Engine (IRE) is an AI‑powered tool that scans financial data to uncover hidden revenue leaks like duplicate charges, missing refunds, failed ACH deposits, and unexpected fees. Users upload a CSV, and Bubble AI analyzes every transaction, calculates estimated loss, and generates step‑by‑step Fix‑It workflows to recover money fast. With a simple business model—free scan, monitoring, audits, and optional recovery fees—IRE delivers a polished, end‑to‑end experience that helps small businesses stop losing money and reclaim revenue instantly.👍
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AI Home Services App — Smart Technician Booking & Repair
A premium AI-powered home services app designed to simplify how people diagnose home problems, find the right service, and book qualified technicians.
The product uses AI to turn a simple problem description into a clear service recommendation — helping users move from “What’s wrong?” → “What do I need?” → “Who can fix it?”
Key Experience
→ AI-powered problem diagnosis
→ Text, voice & photo input
→ Smart service recommendations
→ Technician discovery & booking
→ Transparent service information
→ Real-time technician tracking
→ Premium, intuitive mobile experience
The concept is designed for founders building AI home-service platforms, technician marketplaces, repair apps, and SaaS products where reducing friction and improving the booking experience can create a stronger customer journey.
Role: Product Designer
Focus: AI Product Design · UX/UI · Mobile App Design · Service Marketplace
Building AI for healthcare leaves zero room for error.
I’m currently collaborating with an incredible team on Raphald AI, a medical detection application. Building the systems for a project with stakes this high is a massive reminder that the underlying backend architecture matters just as much as the machine learning model itself.
When integrating diagnostic AI, your API endpoints cannot drop requests, and your database workflows demand absolute integrity. You aren't just passing JSON payloads; you are handling critical, real-time workflows where stability is non-negotiable.
Engineering these systems continues to shape my approach to building robust Python backends. If you are developing a product that requires reliable AI integration or rock-solid FastAPI infrastructure, check out the newly updated services on my profile. Let's build something that works when it counts.
amazing 💯
The wallet vote closed. 8% picked counts up front, 92% picked cards.
I promised the reasoning either way, so here it is.
The old home screen showed your credentials directly. You saw the card, you tapped it, done, plus a log of what just happened. A few people made that case in the comments, and they are right that taking it away costs a step.
The reason I took it anyway: the card row only works while the wallet is small. At twenty or thirty documents a horizontal swipe stops being access and turns into a search problem, and the card you need is never the one on screen. So the home screen stopped trying to be the wallet. It became a summary, with the real list one tap down where it can be sorted and filtered, and Scan QR moved to the top because scanning a code is what people open this app to do.
The outside signal we had was weak, and I want to be straight about that. The product sits in a regulated space under NDA, so no open user testing. We ran internal sessions and demoed both versions at industry events, where 88% of partners and investors picked the counts version and kept using the word premium. That tells me it reads as credible to the buying side. It does not tell me how it feels on the tenth open of the month. Different questions.
What would change my mind: if people turn out to open a specific credential often, pinning one or two to the home screen is the cheap fix. I would rather add that later than start from a layout that breaks at scale.
Thanks to everyone who argued with me. That was the point.
cc. @Agadon Creative @Maty Sandoval @Mark Barliet @Leena | Product Design, UX/UI & Web
