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Work · March 27, 2023

TT

Time-tracker that helps me with context switches and documentation

Hi HN! I was feeling incredibly frustrated with my struggles in context-switching and writing documentation, so I decided to take action and find a solution. I wrote a simple tool for Alfred and Raycast that helps me be more mindful when switching between tasks, which can even prevent some of those switches. Plus, I can jot down quick notes on each task as I go, making it easier to document everything once I’m finished. This tool is really simple with only 5 commands - tsr, tsn, tsl, tsv, tse tsr writes a new record tsn writes a new note tsl shows you the current task tsv builds a static…

In plain words

This is a command-line time-tracking tool for Alfred and Raycast that helps users manage task switching and documentation. It provides five basic commands to record tasks, add notes, view current activity, generate timeline summaries, and access stored data. The tool stores all information as CSV files in a local directory, enabling easy integration with other applications and custom analysis. It is designed for developers and knowledge workers who struggle with context switching and maintaining task documentation.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

Hi HN! I was feeling incredibly frustrated with my struggles in context-switching and writing documentation, so I decided to take action and find a solution. I wrote a simple tool for Alfred and Raycast that helps me be more mindful when switching between tasks, which can even prevent some of those switches. Plus, I can jot down quick notes on each task as I go, making it easier to document everything once I’m finished. This tool is really simple with only 5 commands - tsr, tsn, tsl, tsv, tse tsr writes a new record tsn writes a new note tsl shows you the current task tsv builds a static html page displaying a single timeline of the tasks and notes tse opens the directory where records are stored for easy manual editing TSR stores your data as simple csv files in ~/tsr, making it super easy to integrate with other tools or perform your own custom analysis and visualisation magic. The built-in tsv timeline visualisation is rather simple and doesn’t do any analysis (for now at least). It depends solely on Python3 and works offline. I encourage you to check the python scripts to see how simple they are and potentially adapt them to your own needs. Let me know what you think!

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