valianter

OpenAI has finally released their long-anticipated search feature. I'm curious to hear about people’s experiences with it and whether it offers any significant advantages over what Perplexity provides for free.

When listening to YC videos or general startup talk online I see the idea that you know you have Product Market Fit when you feel an overwhelming amount of growth that you can’t handle.

The Stripe founders said they knew they had it when a customer sent them brownies to get off the waitlist for a feature. Obviously, Stripe had built an amazing product that resonated with users but how much of that success was from a good product vs. good marketing/network effects?

I imagine there are many products out there that people have given up on even if it was able to reach PMF just because nobody knew about it.

I've been seeing news about all these AI co-pilots/code generators and I'm wondering if anyone has actually made a full time switch for >1 month.

Extensions like Coedium and co-pilot are fairly easy to install and use but I've been hearing about Zed and Cursor a lot. Is anyone actually using these products or is it just more hype.

I'm not sure if I can think of any SAAS product that isn't another wrapper or abstraction around code, database, another service etc... I just don't understand why people seem so upset about these new companies being GPT wrappers.

SAAS brings the cool things people build in our insular computing community to the general user in an intuitive way, and that's celebrated. Not sure why these "GPT Wrapper" companies are getting so much hate.

As ChatGPT gets better at solving technical interviews I don’t understand why companies still insist on giving Leetcode style problems in their online assessments.

I get that they need to cut a large amount of people before live interviews but hackerrank/code signal have the ability to test “real world” scenarios like debugging,sys design,using APIs,etc…

In live interviews I feel like DSA interviews make even less sense. When is a candidate ever going to have to explain/implement a niche algorithm without access to their co workers, ChatGPT, or any other help

But curious to see what everyone thinks!

I've been working with Langchain to develop a POC and when I try to understand the bugs in my code I feel like I am going down this huge rabbit hole of code. Every time I click into a piece of code there are 10 more places that I have to look that MIGHT be the source of the bug.

I get the idea that things should be abstracted away and that's the point of a library but this feels like a little much.