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Because it’s more fun to build a task list application than to actually do your tasks.

Status: Beta release. Available at https://quick-wins.pages.dev/

I have found the “Effort vs Impact” matrix approach to be useful for planning tasks. It helps to identify quick wins - tasks which will deliver the best outcome for the least effort.

My challenge has always been figuring how to rate the tasks relative to each other. Usually, everything ends up being important.

This is my attempt at avoiding that problem.

After entering your tasks, you are shown 2 tasks. You rate which -

• is easier to finish
• will make you happier if it’s done

By using the Elo algorithm, we can get scores for “ease” and “satisfaction”. The algorithm is self-correcting. Good-enough results will emerge quickly, but over time the ratings will converge to a more accurate result. It allows you to do as little or as much ranking as you want, and the results will improve with each comparison.

Technical notes

This has been built as a static web page, in order to minimise the complexity and upkeep. This has trade-offs - there is no “saved to the cloud”, but it does make it more secure.

Cursor AI was heavily used in the development. I was acting almost purely as a product manager, making iterative requests for improvements.

Next steps

Unsure at the moment.

I am using it personally. I am finding it useful for a day or weekend’s worth of tasks. I don’t think I’ll be using it for multi-week major projects.

I want to use it more myself for a couple of weeks to iron out any non-obvious issues.

With thanks to…

Big thanks to Arpad Elo, Cursor AI and the 2026 Curaçao world cup away kit for inspiring the colour scheme.

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