With an older company, I found myself spending hours a day looking over git pushes to ensure the employees were indeed doing their work.

Now, in the age of ChatGPT, I could just ZIP the project, upload it to 4.5 and deep research it. Boom! Full breakdown of hourly progress, explanation and breakdown of work and instant conclusive statements.

When you can build faster than ever these days with AI, how does it affect your launch plans on PH?

The timescale between features is dropping as building is becoming easier. So I'm curious:

• Are you planning one big launch, or many smaller ones?

• When do you feel it s 'enough' to launch when expectations might be higher?

• Does AI change how you think about launch timing and feature scope?

For example, I've got this site waiting for a launch myself: https://feedbagel.com, but I don't know whether to hold off until adding the next part, or can we have multiple launches on here within a short time frame?

Hi everyone!

Just curious if you could reimagine a weather app from scratch, without following the "typical" designs we see today, what would you want to change or add?

For example:

• Would you want the app to feel more fun or even have a personality?

• Would you prefer faster voice updates instead of reading charts?

• Would it be helpful to get forecast reminders tied to your special events or big days?

We're currently working on a product Focal AI that helps users dive deep into research on any topic. One of our core features is called "Deep Research", and we're now at a key decision point: choosing the right AI model to power it.

After testing many of the current top-tier LLMs, we've found that most can handle broad, high-quality research prompts. But the results still vary a lot depending on:

• The specific model

• The domain of research

• The depth of exploration required

We'd love to hear from you:

Hey Product Hunt community!

I m working on a free app in its early MVP stage and looking for effective ways to recruit early adopters/testers to provide feedback and help shape the product. Let s exchange ideas!

So recently we've been experimenting with semantic indexing in our product. So far it's going great, such a powerful tool.

For context, we've been doing tests with codebases (obvious, I know).