I spent $8,700 on first dates after moving to NY a year and a half ago. Here is what I learned. 50 first dates, 10 second dates, 1 girlfriend (we've been together for 4 months now). All from Hinge. An average of $174 per date. Looking back I could have done a better job at filtering. Goal was always a long term relationship. Best filter was a call before the date (highly recommend that actually). Can save both of you a lot of time. And sets the expectations right. All women were between 25-32. I'm 30 years old. You can definitely find the love of your life on the apps. I spent most of my time in the office so its very hard for me to meet women irl. I'm also not really a bars/club guy. I was looking for a very specific person. Similar cultural/religious background. Just get Hinge pro or whatever its called. Makes it easier to filter and gives you a boost. Kinda hard to say but true. If you are a man below 50% in looks/status or whatever you want to call it you are going to have a hard time. there are just more men than women on the apps (see the report). Set your expectations accordingly. The height thing is true. I'm 6'1 so it was not a problem for me. But heard this complaint from every single guy under 6 feet. Also dating is expensive. Especially in NY. Maybe just do drinks or something. I always did dinners and insisted on paying for them (maybe an egyptian thing). Out of the 50 first dates, I probably liked 20. 10 liked me back. One girl I dated for 3 months but it turned out it was not a long term match. Great girl though! I was very lucky I guess but I never had an awkward experience (definitely more risky for a girl). Actually had some really interesting conversations even if we both knew this would not be a romantic match. kinda weird to say but online dating is a funnel. you have to meet people to figure out what you like and what you dont like. took me around 50 tries to find my current girlfriend. you can see the full report in the tweet below.

fx.sh is 6.3mb. It starts up in 10µs¹. It's a Zig-compiled static ELF binary, or an even smaller 𝚕𝚒𝚋𝚏𝚡.𝚠𝚊𝚜𝚖² AI will make most infrastructure natively optimized. Case in point: fx can literally finish tasks faster than other agents can boot. Fast is a one-way street. ¹ that's microseconds ² fun fact: the wasm build is actually *smaller*. A lot of binary weight comes from the TLS/HTTP stack. In WebAssembly, fx delegates 𝚏𝚎𝚝𝚌𝚑() to the JS runtime instead. You can try this on fx.sh/try