Launching today

Medicyn
Your complete medical history privately on your device
104 followers
Your complete medical history privately on your device
104 followers
The only health app that keeps your medical history completely private—on your device, offline, with no accounts or tracking. Store your complete health record: conditions, medications, prescriptions, allergies, lab reports, surgeries, and more. Scan documents with AI, track symptoms, set reminders, and manage up to 6 family members. 7-day free trial. Then pay once, use forever—no subscriptions, no ads. Your health. Your data. Your control.










Contral
@pranavshirole Congrats on the launch, Pranav.
The idea immediately resonated with me because everyone has experienced that scramble of trying to find an old prescription, test result, or medication history when they actually need it. It's one of those problems that's surprisingly universal.
What I find particularly interesting is your decision to go all-in on privacy. In a world where most health products are built around collecting more data, building something offline, account-free, and owned by the user feels like a refreshing approach.
Wishing you the best with the launch. I'd love to learn more about the business side of Medicyn and how you're thinking about growth from here. What's the best email to reach you on? Happy to connect and exchange ideas.
The scattered family medical history problem is very real, especially when you suddenly need old reports or medication details during a doctor visit. Offline + one-time purchase makes sense here. Curious if there’s a quick export option for emergencies?
@farrukh_butt1 Hi Farrukh, thank you for your comments. Yes! The Emergency Card has a "Share as PDF" option that generates a neatly formatted one-page summary (allergies, current medications, implants, emergency contacts, insurance info) and opens the iOS share sheet — so you can AirDrop, message, email or print. Takes seconds, no internet needed. In fact, each and every record can be exported in this way.
Interesting product! How do you maintain privacy of data when scanning doc with Ai?
@daria_goroshko1 Hi Daria, great question! All document scanning and text recognition (OCR) happens 100% on-device using Apple's built-in Vision framework — nothing is ever sent to a server or third-party AI. The scanned images and extracted text are stored locally with full file-level encryption (iOS Complete File Protection). There's no cloud processing, no analytics, and no network calls at all.
Refocus
The detail that stands out to me is managing up to 6 family members fully on-device. I'm building voice AI that checks in on aging parents every day, and the recurring wall we hit is exactly the one you described: adult kids trying to reconstruct which medications a parent is actually on from scattered prescriptions and fuzzy memory. Question for you, Pranav: when a caregiver scans documents for a parent, can that record be shared read-only with another family member, or is everything strictly siloed to the single device where it was captured?
@igorgurovich Hi Igor, thank you for your comments. Good luck with your app, and I cannot wait to see what you build! Each record has a "Share as PDF" option that generates a neatly formatted PDF and opens the iOS share sheet — so you can AirDrop, message, email or print. Scanned documents can also be similarly shared in their original format.
Two things help here: (1) Medicyn supports multiple family profiles on the same device (e.g., a caregiver managing both their own and a parent's records in one app), and (2) you can export a full encrypted backup and share/import it on another family member's device if needed. It's manual rather than real-time, but it keeps your family's health data from ever touching a third-party server.
Right now, everything is local-first and lives on a single device — there's no cloud sync or live shared access between devices (by design, for privacy). Read-only shared access across devices is something I'm considering for the future, but it's a tradeoff against the zero-server privacy model I've built the app around.