For as long as software has existed, the user has been a person. Someone sitting at a desk, poking at a phone, or calling an API. That assumption was so obvious it was never really a design principle, it was just common sense. Every decision about hierarchy, color, button placement, and error messaging was downstream of a single fact: a human being is going to see this.

With agents, that assumption is starting to fail.

I originally started looking for alternatives because I was tired of paying subscriptions that limit experimentation through credits, tokens, and usage caps.

Then I discovered the local AI world.

And I realized there was another side of the problem: having ownership and power, but sometimes needing to understand the entire machine before actually creating.

There is a difference between loving architecture and loving the experience of living in a beautiful space.

Hi everyone,

I'm curious how other founders decide when a feature is ready for release.

Do you rely on feedback from a small group of beta users, or do you wait until you have a larger sample size before making the feature public?

I've seen cases where launching early helps gather valuable insights, but I've also seen users become frustrated when a feature still has rough edges.

As companies grow, they adopt more tools CRMs, marketing platforms, finance software, customer support systems, analytics, and more. Each one generates valuable data, but that data usually lives in isolation.

I've realized that many leaders struggle because they have too much of that, spread out across too many places. Before making a decision, they often have to gather reports, reconcile numbers, and understand how one department affects another.

In your experience, what's the biggest obstacle to making fast, confident decisions in a growing B2B company?

talk to anyone who changed industries mid-career and they describe the same weird evaporation. the credibility they earned in field A did not travel to field B. not the resume line (everyone knows those are weak). the underlying trust: 'we saw them do X and it was excellent.' that fact existed, someone said it out loud in a hallway, then disappeared the moment the person left the org.

resumes cant carry it. self authored, low trust by design.

linkedin endorsements cant carry it. everyone has them, nobody removes them, nobody believes them.

I run into the same moment most weeks, a client goes quiet, an employee seems off, and a report shows a number that looks slightly wrong, all on the same morning. Nothing on paper says which one to handle first. Whatever I choose usually comes down to instinct built from watching the same three businesses long enough to recognize a pattern, not from anything a dashboard actually told me.

Curious how other founders running more than one business, or more than one location, decide what gets handled first when everything looks equally urgent on the surface. Is it always the loudest voice, or is there something quieter you have learned to notice first?

I've been building Amazon affiliate / review sites for years, and something I keep noticing: we all quietly grind on our own sites and almost never compare notes with each other.

So let's fix that. I'll start.

Right now most of my time goes into a small review site in the watches niche. A few things I've learned the hard way:

Reports tell me what already happened. They almost never tell me what is about to happen if nobody steps in today. A client going quiet, a hire pulling back weeks before handing in notice, a location quietly underperforming while the numbers still look fine on paper. None of it showed up as a flag on any dashboard, someone just had to be paying attention closely enough to notice the shift before it became a complaint or a resignation letter.

Curious what the equivalent has been for people running more than one location, or more than one business at once. What is the thing that only ever gets caught by a person watching, never by a report sitting in an inbox?

We ve had tweets hit thousands of views and get zero users.

But when we DM someone with a clear pain point, they sign up in 10 minutes.

That s when it clicked:

Marketing isn t about reach it s about resonance.

Hey Product Hunt community!

While building multi-model software over the past few months, our team fell into a common trap: focusing almost entirely on response speed and model capability.

However, after looking closely at user session recordings, we noticed something unexpected:

Users weren't abandoning chats because an AI model gave a bad answer. They were quitting because they spent over 40% of their total session time just setting up context, pasting background data, and switching tabs.