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Developed an automated reminder management SaaS platform for scheduling, tracking, and managing time-sensitive notifications.
Aureminder is designed to help businesses automate recurring reminders and keep recipients informed through multiple notification channels.
The platform includes:
Automated reminder creation and scheduling
Email and Android notifications
Recipient and group management
Flexible recurring reminder schedules
Real-time reminder delivery and status tracking
Dashboard analytics and reporting
Secure, role-based access
Cloud-based access for managing reminders from anywhere
The solution can be customized for business workflows such as payment reminders, compliance deadlines, follow-ups, scheduled tasks, and other recurring notifications.
I can build a new reminder management SaaS product, extend an existing system, or integrate automated notification workflows into an existing business application.
The network for creativity
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Wound up on this app development project!🚀
NEW CASE STUDY!
🙌 E-Strum: App + Device for Tracking Light Availability at Home
ABOUT THE APP:
Scheduled and unscheduled power outages in Ukraine made it hard for people to plan their day. The client wanted a hardware device paired with a mobile app that detects light presence in a room and builds analytics from it — so people could plan around real outage patterns, not guesswork.
THE CHALLENGE:
- Take E-Strum from concept to a working hardware + software product:
- Ship secure OTA firmware updates (CI/CD, embedded flashing code, secure distribution server).
- Handle high device load without degrading service.
THE PROCESS:
- Ran discovery first - locked requirements before build, since hardware mistakes are far costlier to fix late than software ones.
- Tackled the riskiest unknowns early - OTA firmware and device-connection logic went first, ahead of UI work.
- Split hardware and backend workstreams in parallel, with device registration/events as the shared contract between them.
THE RESULTS
- Rolled out OTA firmware updates to 1,000+ connected devices with zero manual re-flashing required 💯
Kept backend response times under 300ms even as concurrent connected devices scaled past 1,200 🙌
Held device-connection success rate at 97%+ on first attempt under real-world Wi-Fi conditions 🧠
