Timegrapher X vs Commute Logger

Timegrapher X analyzes the ticking sound of a mechanical watch to measure its accuracy rate, beat error, and amplitude. The app is specifically optimized to work with the Apple EarPods' headset microphone. Ideally, the headset microphone and the watch crown should be slightly pressed together, as this greatly improves the level of detail and diagram quality. The better the contact, the stronger the signal. https://timegrapher.app/ Timegrapher X consists of two separate modules (tabs): The "INSTANT" module shows how the watch is behaving in the short term, or "right now". It is very similar to a traditional timegrapher device, with the added benefits of a real-time waveform display and a high-detail diagram display. The "LONG TEST" module is a graphical data logger, which helps you observe the long-term behavior of a watch. Various chart indicators are available, such as average rate, moving rate history, rate drift over time, and more. Long-term measurements for up to 12 hours can be conducted for in-depth analysis of the watch being tested. Timegrapher X Pro (in-app upgrade) provides these additional features: • Save and share branded, printable PDF reports for each measurement • Export raw measurement data as a .csv file for spreadsheet analysis • Conduct long-term measurements for up to 120 hours For demo videos and documentation, please visit: https://timegrapher.app/

Are you moving and shortlisting homes based on the commute duration between your new home and work? Or are you trying to figure out what's the best time of the day to leave to work/home so that you spend less time in traffic? CommuteLogger automatically checks for the realtime commute duration between the source and the destination. It periodically logs the commute time every 30 minutes for up to 14 days even when the app is closed. You can create up to 19 loggers where each logger is recording the commute duration between the source to the destination. The result is a trend graph based off time of the day and the commute duration to the destination. If you are moving, you can refer the graph to shortlist home based on the shortest commute trend. If you just want to save time in traffic, you can refer the graph to know the best time to leave to work or home so that you spend less time in traffic. How does it work? 1. Create a new logger by entering the source and the destination address 2. Sit back and relax for a couple of days until the logger captures all the realtime traffic data 3. Open the app and look at the traffic trend and decide if this is the best place to move (If you are moving), or look at the graph to decide the best time to leave to work/home based on the shortest commute duration Save time in traffic!