u/Alternative_Map_4680

couples set up custom wedding domains on platforms like Squarespace and forget to renew after two years, leaving their hosted high-res photo albums completely stranded on expired URLs.
someone built a script that monitors daily expired domain drop-lists for wedding subdomains. when a domain expires, the tool pulls the public wedding archive, stores the photos safely, and sends a simple $25 one-time link recovery email to the couple. apparently clearing a couple thousand a month because people will gladly pay twenty bucks to get their lost wedding album back.

If you're new to UGC, you don't need a fancy portfolio.
Start with:
3–5 good sample videos
Different content styles
Clear and simple editing
Your best video first
Samples that match the brands you want to work with
Focus on making your content look natural and relatable.
What’s the hardest part of UGC for you—finding clients or creating your portfolio?

I’ve been experimenting with Model Context Protocol (MCP), and the biggest thing I like about it is that it gives AI a more practical way to interact with the tools and data we already use.

I’m curious what’s actually working for other UGC creators right now.

Do you focus more on:
Cold emailing brands
DM outreach
Building a strong portfolio
Using UGC platforms
Posting your own content
And how did you figure out your pricing when you were starting out?
Would love to hear what worked for you and what didn’t. 👀

I’ve been exploring search APIs for AI projects, and I’m curious what others are using.
Exa, Tavily, Serper, Firecrawl, or something else?
What matters most to you: speed, accuracy, price, or easy integration?

I’ve been testing different search APIs for AI/RAG projects, and I’m curious what others prioritize.
For me, the biggest factors are relevance, freshness, extraction quality, latency, and cost.
Has anyone compared tools like Exa, Tavily, Firecrawl, Serper, or Brave Search? Which one performed best for your use case?

For those who’ve gone through investment banking interviews, what helped you the most?
Was it technical prep, mock interviews, networking, or understanding the industry?

Weird side projects are honestly where some of the most interesting ideas start. You build something just because you’re curious, then suddenly you’re three hours deep trying to figure out why it works.

I’ve been getting more curious about how AI is trained and how humans actually help improve AI models. It’s interesting to think that behind all these AI tools, there are people working on data, labeling, testing, and improving the responses.
I’m still learning about the field, but AI training seems like an interesting area to explore, especially for people looking for remote or flexible work.
Anyone here currently working in AI training or data annotation? What’s your experience been like?

Stop asking, "What course should I take?"
Start asking, "Can I analyze a company from start to finish?"
Most people collect certificates.
The people who stand out collect evidence that they can think like an investor.
Read companies. Write your own investment notes. Be wrong. Learn. Repeat.
That's what gets you closer to the buy side.

API is like a bridge between two apps.
One app asks for information.
The other app sends it back.
That's how apps can work together without sharing everything.