14 points
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Why the heck do these companies send your period data to their servers? Period trackers are just data entry apps that calculate the average durations of an entered database of period events. There are no ‘advanced functions’ that need to be done on offsite servers.

A good open-source option where period data stays on-device is drip. For those interested in syncing period data to a self-hosted server, this video is a nice guide.

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11 points

The Silicon Valley attitude of collect now, monetize later, and maybe secure eventually is why. Every one of these people thinks they can make some AI that magically make their app and your life better.

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2 points
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Absolutely agree

drip

Who tf comes up with names like these? Edit: They also call their git repo work “condriputions” 🙄

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1 point
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It’s kinda funny and memorable, I guess? Helps with funding, drip gets money from mozilla and the German government.

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1 point

I found a YouTube link in your comment. Here are links to the same video on alternative frontends that protect your privacy:

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9 points

That’s not how it works. If they come to you with a warrant you can’t just say you’d rather not. You have to turn it over or else your people will be arrested and your company if located in a state amenable to such orders raided. It all sounds good and fine until one of these people empty-mindedly takes a vacation to the US and an under seal warrant is opened and they are arrested and jailed until the company complies at which point they’ll buckle.

The only solution as with VPN providers and copyright infringement is for them to have no data to turn over so when asked they can tell the truth and say there’s nothing they can do to help because they have no relevant information.

Otherwise you’re just one very long arm of US law or a hack by activist reactionaries away from all this data being available to anti-choice authorities. The only solution is keeping it all local and this company should be tarred and feathered for this pathetic pinkwashing of unnecessary and invasive data practices.

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