Show HN: Threshyr – An offline automatic time tracker with on-device AI (threshyr.com)

Threshyr, an innovative offline time-tracking application, has been launched to revolutionize how users monitor their productivity. Designed by Affan Bajwa, Threshyr operates entirely on-device, utilizing machine learning to automatically categorize activities across applications and URLs without requiring manual timers. The application not only eliminates the need for cloud storage—thus ensuring complete data privacy—but also offers a straightforward annual pricing model, avoiding the pitfalls of recurring monthly subscriptions that plague many current time-tracking solutions. For the AI/ML community, Threshyr highlights the potential of local-first applications, utilizing lightweight machine learning models to provide real-time activity classification without transmitting any data to external servers. This model enhances user privacy by guaranteeing that sensitive information remains on the user's device. With features like idle time detection and customizable tagging rules, Threshyr is geared towards facilitating personal productivity without compromising on user experience or privacy, positioning it as an appealing alternative to existing, cloud-reliant time trackers.