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.

There is a very quick way to create UI for a mobile application or a website. I used this approach to create the UI for one of my side projects. To create the design, I used Google Stitch (https://stitch.withgoogle.com/).

Stitch allows you to design using prompts, then edit specific parts of the image by highlighting them and describing what to change. You can download the designs in HTML or PNG. If you need a ready to use HTML page, you already have it. In my case, I needed functional HTML pages that communicate with a backend API on AWS.

I m building an email sending platform and considering a pay as you go model instead of subscriptions. My reasoning is that many people don t send emails every month, so charging only for usage feels more fair.

However, several founders have warned me that this model may be a mistake from a business perspective.

If you ve built or used similar tools, I d appreciate your thoughts on:

• Whether pay as you go is sustainable

• Whether users prefer it

• Any pitfalls I should be aware of

Hi I'm Eric Stealth I run an automation business helping agencies build AI-powered systems to scale operations. Currently validating a campaign intelligence tool that predicts ad performance before launch agencies I work with waste $50K+ annually repeating the same campaign mistakes.

A quick update on my email marketing platform project.

I spent the last couple days working(almost non stop) on a new feature that I felt I must have before opening my email marketing platform to the public.

I recently saw a marketer with 10k+ followers launch and finish 6th with 348 upvotes. They followed a proper pre-launch and post-launch plan, did everything right, and still the outcome felt unpredictable.

Now I m launching @Curatora next week.

I m not a marketer. I have a little over 1k followers. Of course, asking for support helps. But I also keep hearing that a large part of the Product Hunt community shows up mainly for their own launch, then goes quiet until the next one.

That makes me wonder: how much of success here is strategy, and how much is timing and network effect?

It s the third week of working on my little side project, SimploMail.com, and to speed things up I ve been doing a lot of vibe coding. It s been fun, but a few things became obvious pretty quickly.
I stopped using the auto model setting in the IDE. When it silently switches models, the quality drops fast. I can feel when the agent all of a sudden looses its intelligence . So now I just pick one model I trust and stick with it.
I also try to keep each AI session focused on one small task. One feature, one change. After it writes the code, I go through everything myself. I check for hard coded config, make sure it didn't quietly delete a unit test to make something compile, and etc. Sometimes it does update unit test just to make it pass .
And I never commit without reviewing. The AI is helpful, but it can also remove something important without telling you. I've seen it happen enough times now .

My name is Sergey and I am a software developer.

I am here because I started building a service I wanted to build for a several years now - A pay-as-you-go email marketing platform.

I could not find a service that does not charge if I am not sending any email campaigns. So I decided to create one.
Building in public is very new to me and I have zero experience sharing about it. But I will try my best

Hey everyone! I'm Gianmarco, a software engineer based in Italy. After years of planning trips for friends and family (and being the unofficial "travel agent" of my group), I decided to build something that could do it better than me or at least faster.

I'm working on Aitinery (aitinery.com), an AI-powered travel planner that specializes in Italy. The idea is simple: instead of spending hours on Google Maps, blogs, and TripAdvisor trying to piece together an itinerary, you tell our AI what kind of trip you want and it builds a complete day-by-day plan with real places, accurate travel times, local restaurants, and hidden gems.

Recently, I asked how much you trust AI agents.

When it comes to finances, you said you don t.
With health data, you don t either.

But now I have a different question.

Lately it feels like every week there s a new AI-powered SaaS launching.

Same landing page formula.
Same promises.
Same 10x productivity pitch.

And what s interesting is the number of products keeps increasing but I m not sure demand is increasing at the same rate. It feels like we re repackaging the same value just slightly different positioning.

New UI.
Different niche angle.
Built for X .

Hey everyone
I m Zack, currently building OpenClaw Launch a managed deployment platform for OpenClaw so developers don t have to deal with Docker or servers.

I ve been deep in AI tooling and deployment workflows lately, and I m especially interested in making infra disappear for builders.

Would love to connect with other founders working on AI agents or dev tools. What are you building?

Hi everyone

For the past 15 months, I ve been obsessed with one question:

Why does applying for jobs feel like sending your resume into a black box?