Living in the Google Ads and media buying trenches, I constantly see makers make one of two mistakes: either burning cash on Performance Max campaigns before having true product-market fit, or relying purely on organic hustle for so long that they starve their own growth.

For those of you who have successfully scaled, what was your exact trigger to start buying traffic? Did you wait for a specific revenue milestone, or did you run search campaigns early on just to validate the offer?

Hi everyone!

Lately, I ve been reflecting on the architectural decisions behind indie app development, specifically the choice between Cloud Sync vs. Local-First.

Hey, fellow founders, CEOs, and other unemployed people of Product Hunt
We all saw that three of our website viewers in a month came across our vibe-coded piece of AI slop mostly from ChatGPT.
That means that for a website to be viewed and listed by an AI crawler is as important as it was for Google. Not only that, but it is also important to feed these AI models the right information about our AI slop.
As nearly all major AI companies said, they don't prioritize llms.txt, and it does very little job to get listed in AI answers, but will it be so in the future? I see that more and more websites still make llms.txt pages and there is a feeling inside me that sooner rather than later it will be a "priority" page to scan by AI crawler.
So what do you think? Is it all hype, or will it actually become something to think about right now?

Hey Product Hunt community!

As autonomous AI agents move from experimental chat interfaces into deep production workflows, they are being granted direct access to critical enterprise APIs and execution environments. While the industry is heavily focused on model accuracy and latency optimization, I believe runtime security remains a massive architectural blind spot.

Traditional API gateways and static firewalls fall short when dealing with semantic prompt injections hidden inside natural language payloads often leading to unauthorized API executions or silent PII leaks.

I continue building UI pages for my email marketing platform using AI, and I wondered if AI generated UI designs are good enough for production apps?

They seem to work great on mobile devices and desktop screens. They load fast. They behave normally. I m personally perfectly fine and happy to use them in production, but what is your opinion? Am I missing something? Should I be worried about using them in production?
To build UI I use Lovable and Google Stitch. I go feature by feature, and for each feature I create a separate Git branch. This way I m more careful that one update does not break my entire website.
P.S. The attached screenshot is a work in progress design that I created using Google Stitch for the Email Automation and Sequencing feature.

I keep seeing apps add smart generation buttons that just make the interface clunky. Extra menus, extra popups, and prompt boxes cover up what I was trying to do.

|Some tools solve real problems, but others just throw in smart shortcuts because it is trending. The worst part is when the automated option takes longer or feels less predictable than doing the task by hand.

Has a tool you used gotten worse after an update like this? Or has one actually surprised you by being useful instead of decorative?

Almost every content platform now comes with a built-in bookmark or favorite button.

The problem is that saving content is effortless but returning to consume it requires intentional effort. Without a smart system to resurface those items or remind us they exist, saved lists just turn into digital clutter.

Lately. I ve stopped saving articles altogether. If I don't have time to read something right then I usually just close the tab and let it go.

Have you found a bookmarking workflow or app that actually forces you to review what you saved or have you given up on saving things for later too?