

Just like match and okc you’d have to take a quiz and match against core values. Social media data mining would be a terrible way of matching.
Just like match and okc you’d have to take a quiz and match against core values. Social media data mining would be a terrible way of matching.
These are cybertruck owners…
What’s the point… It’s a bespoke device with bespoke software. Render at native…
This changes the rules though from check at the end to check at every letter. That’s where the real efficiency gain is… The insertion of an all knowing checker who could have written it himself anyway. The math of permutations vs combinations changes drastically if we change the rules.
Crease distortion occurs immediately, day 1, first fold, and it’s a substantial distortion… but does not necessarily get exponentially worse like normal fatiguing plastic, but instead just gets worse slowly. Yeah it’ll last 50k folds but the crease distortion is definitely there in person.
So where’s my portable app to do so?
Zoom is so much better. Teams doesn’t even identify which screen pre-share. Oh you want to annotate or highlighter point? Install a plugin but only if you’re the organizer or allowed by the sharing party, and only if you’re using the native app.
Where you getting the energy to capture and dry algae that results in a total positive capture?
And that’s what benchmarks are for
It would be, if it were comprehensive and applicable to match making, but I don’t think for most people that can be gleaned from fedi. Most people only lurk, few even directly follow communities, and the content people do interact with likely does not represent them well unless they put themselves out there like that.