u/Deep-Joke-8239

I’m 24M and I genuinely thought my dating profile was decent until this weekend.

I was hanging out with a female friend and somehow dating apps came up. I joked about how dead my Tinder account was, and she asked to see my profile.

Within like 30 seconds she goes:
“Yeah… I can already tell why.”

Not gonna lie, that hurt a little…But then she started pointing things out that I never would’ve noticed myself. Apparently:

• my first photo made me look way less approachable than I thought.
• my bio sounded “dry and low effort”
• and having two group photos back-to-back was apparently a terrible idea

The crazy part is none of this was intentional. In my head I thought I looked normal.

She even showed me the kind of profiles women usually swipe left on, and honestly a lot of them looked pretty similar to mine.

It made me realize most guys are probably walking around with profiles that quietly kill their chances without even knowing it.

Dating apps are weird because nobody really teaches you this stuff. You just upload a few photos and hope for the best.

Now I’m curious how many people have had someone else review their profile and completely change how they see it.

Been working on a personal project called DeepAlphaBot that required reliable WebSocket connections to multiple crypto exchanges simultaneously, and ran into some interesting Python-specific challenges I haven’t seen discussed much.
The main pain points:

1. Keeping WebSocket connections alive across exchanges
   Binance and Bybit handle reconnect logic differently. Bybit sends a ping every 20s and expects a pong, while Binance’s streams silently drop if you don’t send a keepalive. I ended up wrapping both in a unified async connection manager using asyncio and aiohttp, but handling edge cases like partial disconnects without losing order state was trickier than expected.
2. Rate limit handling without a central coordinator
   When you’re running multiple strategy loops concurrently, they can all hammer the REST API independently. I built a simple token bucket rate limiter shared across coroutines using asyncio.Lock curious if others have solved this more elegantly.
3. Persisting bot state across restarts
   I’m currently serializing strategy state to JSON on every meaningful update, but under high-frequency conditions this feels inefficient. Considering SQLite with WAL mode. Anyone dealt with this at scale?
   The broader project is a cloud-based automation layer that runs trading strategies persistently but the Python architecture questions are what I keep getting stuck on.
   Has anyone built something similar? Particularly interested in how others handle concurrent WebSocket management across multiple exchange connections.

Not sure if this is just a me problem but it’s been driving me crazy lately.
I freelance so my day is basically bouncing between Gmail, Slack, Notion, Discord and a couple other tools depending on the client. And I keep typing the same things over and over intro messages, follow-ups, standard replies, you know the drill. Probably doing it like 20-30 times a week at this point.
Copy paste helps but even that gets old when you’ve got 8 tabs open and you’re trying to move fast.
Started looking into text expander type stuff like lightning-assist but idk, feels like it might be overkill or take forever to actually set up properly. Also not sure what works across ALL apps vs just the browser.
Anyone actually solved this in a way that stuck? Like what do you actually use day to day?

I’ve been trying to streamline how I handle quick video edits lately — mainly for stuff that doesn’t really justify opening a full editor.

Out of curiosity, I tested a browser-based tool (FlexClip) to see how far it could go with basic workflows. It was definitely faster for throwing something together, but I’m still unsure how practical these tools are beyond quick use.

Right now I’m trying to figure out where they actually fit — are they just for one-off edits, or do people here actually rely on them more consistently?

If you’ve used tools like this, I’d be curious:

what kind of projects you use them for

when you decide to switch back to a full editor

whether they’ve actually saved you time long term

Just trying to get a sense of how others are approaching this.