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submitted 10 months ago by swab148@startrek.website to c/asklemmy@lemmy.ml

Basically title, every bit of online dating nowadays is either Match or Meta, and we're all about breaking corporate chains right?

So these are the thoughts I had:

  1. Matches based on simple user selection: age range, lifestyle, hobbies etc. None of that dumb algorithm stuff that makes you reset your profile every month.

  2. ActivityPub protocol so that anyone can run their own instance, but can also be blocked if anything heinous happens.

  3. E2EE for messaging (and anything else if it's possible).

  4. Someone wrote an open-source anti-CSAM script for Lemmy recently, I hope we could adapt that to our use.

  5. Just, like, everyone have a good time on this app, we're here for love lol

I am not a coder, so I would have no idea how to do this, but I wonder about the interest in such a creation. Maybe some of you out there could make something I could use to get a date (pls).

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[-] teawrecks@sopuli.xyz 5 points 10 months ago

Each person could keep a log of people they know who are single, and then when someone asks if they know anyone who might be interested in going on a date, they could instantly recall a suggestion from their cache! Distributed, peer reviewed recommendation, local. The best part is that it doesn't even require a computer!

[-] jet@hackertalks.com 2 points 10 months ago

Be friendly to the people around you, if there are any middle aged+ asian aunties anywhere in your life... they will start trying to match make... doesn't matter how they know you. Dentist, Noodle Seller, Coffee Seller, Barber... if they know your name, they will be making plans, your nothing but a pawn in their socal scheming!

I go in for a a haircut and walk out with a date with their neice I've never seen... no idea what happened.. (real story lol).

[-] anothercatgirl@lemmy.blahaj.zone 1 points 10 months ago

if the list is supposed to be restricted to single people, how am I supposed to grow my gay polycule?

this post was submitted on 06 Oct 2023
110 points (91.0% liked)

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