The latest articles on DEV Community by Ravi Seta (@raviseta). https://dev.to/raviseta https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F4154336%2F9b642f89-d8b9-477d-a39c-74c57258b3bc.png https://dev.to/raviseta en Ravi Seta Sun, 11 Oct 2026 14:18:32 +0000 https://dev.to/raviseta/i-built-a-fitness-dashboard-that-never-leaves-your-phone-expo-healthkit-sqlite-3mji https://dev.to/raviseta/i-built-a-fitness-dashboard-that-never-leaves-your-phone-expo-healthkit-sqlite-3mji <p>Most health apps work the same way: read your data, upload it, then compute something on a server and show it back to you.</p> <p>I wanted to see how far I could get with the opposite approach. <strong>EdgeFit</strong> is an iOS app that reads activity data from Apple Health and does everything else on the device: the daily summaries, the Activity Score, and the insights. There is no account, no backend and no analytics SDK.</p> <p>The interesting part is replacing the rule-based insights with a small on-device model, behind the same interface, and measuring whether it's actually better than the rules. That's the experiment this MVP was built to enable.</p> <p>If you try it, I'd love to hear what you think of the architecture, especially how you'd handle the permission and empty states.</p> <p><strong>Repo:</strong> <a href="https://github.com/raviseta/edgefit" rel="noopener noreferrer">https://github.com/raviseta/edgefit</a></p> ios mobile opensource privacy