First post here. Been browsing Product Hunt for a while without an account and finally made one.

I keep noticing apps adding an AI button to something that didn't need one. A calendar app with "AI scheduling." A to-do list with "AI prioritization." A notes app with "AI summaries." Most of the time I poke at it once, it does something vaguely fine, and then I go back to using the app exactly the way I did before. The button just sits there.

I'm not against AI features. Some of them are genuinely good and I use them. But there's a difference between a tool that was built around it and a tool that stuck a chat box on top because it was trendy. From the listing alone, those two look identical.

Curious if anyone else feels this. What's an AI feature you actually use regularly, versus one you tried once and forgot about? And does a listing mentioning AI make you more likely to try something, or less at this point?

One thing I've learned while building a SaaS is that it's easy to make decisions based on what you think users need.

The difficult part is accepting that you're sometimes wrong.

We had several ideas that seemed obvious during development, but after talking to real users, the conversations went in a completely different direction.

Instead of asking for more features, many people cared more about clarity.

Some features of a launched product are so basic and taken for granted that we don t even think of them as options. They re a sure thing.

Usually, I see them as:

Dark mode

This week I rewrote our feature descriptions. Again. Third version.

What I didn't do was write to the eight people who said "ping me when it's ready" three weeks ago.

And I guess that editing copy gives me a finished thing at the end of the day. Sending those eight emails gives me eight chances to be ignored, and no way to tell if I did it well or badly.

Building always feels like progress. Selling only feels like progress in hindsight. So I hope it's not laziness.
What was yours this week? 

I ve been thinking a lot about the difference between personalization and real adaptation in fitness software.

A profile with age, goal and experience level is useful, but it still treats each workout request almost like a new session.

A more interesting model is longitudinal: remember what the person actually completed, which movements and muscle groups were trained recently, how difficult the exercises felt, what restrictions exist, and how nutrition has looked over the previous days.

Then the next recommendation is based on that history instead of starting from zero.

Hey Product Hunt!
This morning I launched my first solo product ever: Controol a minimalist finance app built around one idea:

Know how much you can spend, not just what you already did.

No team. No paid ads. No launch list. Just late nights and building something I personally needed.
I honestly didn t expect much but hours later, it made it to the Top 5 of the day

The feeling? Wild.
Strangers are connecting with the mindset behind it, and it's been amazing to read their comments.

It's a rule that when one aspect of life is going well, the others are somehow failing.

At the moment, things couldn't be better on the work front:

• I have a great team, and the company is doing well.

• I'm praised for the results I deliver and the progress I'm making.

• My networks are growing, and there's more and more interest in my sponsorships.

• More people want to work together.

• And I'm co-organising 2 offline events.