| profile pic credit | https://commons.wikimedia.org/wiki/File:Abstract_pattern_on_a_tree_stump.jpg |
| profile pic credit | https://commons.wikimedia.org/wiki/File:Abstract_pattern_on_a_tree_stump.jpg |
Latest version of the #fodmap offline webapp:
- Code version: 2025-12-02
- Data version: 6b6695b133
- Source code: https://pastebin.com/raw/CpxjSetm
- Demo: https://codepen.io/pungent/embed/LENzqxW?default-tab=result
This version includes comments on the servings, such as "very-low-fodmaps" and "contains-capsaicin"—information Monash provides that goes beyond the basic FODMAP ratings.
(This toot will be kept up to date with the latest versions. Fave it if you want edit notifications!)
For anyone who's on the low-FODMAPs diet, I've got something neat to share—a version of the Monash fodmaps data that *doesn't* require a smartphone!
This is a single, all-in-one HTML file containing data for ~900 different foods and a simple search interface. It's *entirely* local, which means you can use it offline. Good for privacy, too!
See https://defcon.social/@fleep/115652856818279202 for the live demo and a link to the source code.
(I really recommend saving off your own copy! if you save the source code as `fodmaps.html`, you *should* be able to open that in your browser. Then if the demo disappears, you still have a copy.)
If anyone wants to improve on the UI... you have my blessing. I'm not a designer. 😆
When someone uses your data to train their LLM, you lose control. They can't delete it, rectify it, or give you access. You can't even object to the use of your data any more once it went into the model.
No matter what the European Commission wants to believe, there's no "legitimate interest" in stripping you of your basic privacy rights!
That's why we must stop the Digital Omnibus!
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#DigitalOmnibus #GDPR #privacy #DataProtection