How to Over Engineer a Todo App (The Zenith Gradient Algorithm)

Let’s say for example you have 4 tasks to do in a given day: Work on an essay, do some math homework, edit a video, and study for a physics exam, and let’s also assume that you have 6 hours in total to spend on all these tasks. The question is: how should you best allocate time to each one of these tasks to maximize your productivity? A rudimentary approach would be to allocate time arbitrarily or allocate an equal amount of time to each task without taking into account any factors like the difficulty of the task etc. In this case, you could simply allocate 1.5 hours to each task and call it a day, but could you do better? What if you instead allocated 1 hour for working on the essay, 0.5 hours for the math homework, 2.5 hours for editing the video and 2 hours for studying physics? You would still spend a total of 6 hours, but would this be better? i.e. Would you be more productive? How can we quantify these decisions? How could we build a todo app that does this computation for us? <a href="https://medium.com/@jaheimarchibald/how-to-over-engineer-a-todo-app-the-zenith-gradient-algorithm-67712737135e">Read More</a>