The reason I’m looking for this is that I’d really like to set up a system where I can easily capture small snippets of information about my day, like a journal with a bit more structure.
There are a bunch of numerical things that I track in sort of haphazard and idiosyncratic ways — I measure my weight and body fat % and track it in Google Calendar, I have a “Track and Plot” app on Android for my Uric Acid levels, and I use paper and pen to track my weight lifting.
I’d love to be able to have a free-form journal that can include voice/audio or text, plus numerical, boolean or structured data entries at specific points. Ideally something that uses an open format and can easily be synced between an app on my phone and something on my computer.
@liaizon @talkpython Obsidian looks sort of promising, but it’s a bit too free-form, and I’d like something a bit more multi-media (e.g. sometimes I have something to record but don’t want to stop and type it out because I’m walking from place to place, I’d prefer to just do a voice note and hopefully transcribe it later).
@pganssle @talkpython Gotcha. Separate from Python-specific stuff, your question reminded me of this Hanselminutes episode: https://hanselminutes.com/399/chris-dancy-the-worlds-most-quantified-man-explains-the-quantified-self
On the off chance that we run in similar podcast circles and mix/match topics at recall time.
Transcript at https://app.podscribe.ai/episode/175373 in case it's worth a quick browse.
@jonafato @pganssle @talkpython yeah it might have been about this: https://simonwillison.net/2020/Nov/14/personal-data-warehouses/
@simon @jonafato @talkpython I don’t think so. I remember the person on the podcast had a story where they were trying to remember something they had done or learned, and they were able to figure out what it was because they remembered that they had learned it while riding a specific train or something, so they were able to cross-reference their location data to see when they were at that train and then check their notes taken around that time (details here might be all wrong, but I don’t think there’s anything like that in Simon’s podcast).
I also sort of think that I listened to this pre-pandemic.
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