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As I browsed through ten years of my run data, I had the idea of creating a software that let's you extract all (or most) of your online data and then search it using natural language queries. It is intended to help you piece together the puzzle of your digital footprint/history.
For example, by integrating with cloud storage (Dropbox/Drive), browser history (Firefox/Chrome), fitness apps (NRC/Strava), blogging/note-taking software (Obsidian/Bear), bookmark services (Pocket/Omnivore) and entertainment apps (YouTube/Spotify), you should be able to get answers to questions like –
* "What was my average running pace in July 2019? Show me all of my trail runs from that time." * "What all recipes did I save in 2020?" * "When did I start writing about TypeScript? Which tech blogs was I reading at that time?" * "What videos was I watching between 2015-2017?" * "Show me the artists I discovered on Spotify during the pandemic."
My intention is to build a local-first and privacy-first solution with a simple SQLite database. The user should be able to do whatever they want with the extracted data. A savvy user might build their own GUI, while a not as savvy one might just like to archive their data in a personal storage server.
Does this sound like a good idea? Is it something that you would want to try? Do similar solutions already exist?
P.S. When I told my brother about it he called it "the god app" which I thought was pretty funny and accurate.