Product Hunt Finds · October 27: Rehearsing User Reactions and Owning Your Own Model

There are a few new products on Product Hunt today. Pretty interesting.

Number one is a product called TheySaid 4.0. It's got 160 votes and 32 comments.

I really want to talk about this one. Its positioning is spot on.

In one sentence, it lets you see how users will react right where you're writing code.

Wait, see user reactions right in the code editor? How does that work?

It puts real or synthetic users right into the Claude and Cursor interface.

You've got an idea for a new feature, and you don't have to wait until launch—let these users weigh in first.

So it's basically moving user testing into the development stage.

Our team used to do user interviews, and just scheduling people took a week or two. This gives you results in minutes.

The key is it's embedded in the workflow. You don't have to leave Jira, you don't have to leave the IDE. That's the real point.

The pain point is obvious. Product managers make decisions on a hunch, and only after launch do they find out nobody uses it.

But are synthetic users reliable? I'm a little skeptical about that.

They say the synthetic users are trained on real users. That's what determines how trustworthy it is.

So who's it for? I think product teams and indie developers.

Yeah, especially for B2B SaaS where user feedback cycles are really long.

The reason it's getting so many votes on Product Hunt is that it hits the pain point of decisions being based on guesswork.

OK, next up is number two, Overmind, with over 150 votes. It's an open-source platform.

Let me give you the conclusion first. This is a platform for AI teams to build their own models.

You take the traces from your production environment and train them into your own dedicated model.

Traces? You mean the call logs left over from running agents?

Exactly. A lot of teams run millions of them a day, and all that data just goes to waste.

So it turns that data into models you can train, evaluate, and deploy.

And the model is yours. You don't have to rely entirely on external APIs. That's a strategic choice.

The open-source part is really appealing, especially for companies that are sensitive about data.

Think about it. What if every AI team had its own closed loop for iterating on a dedicated model?

Then the general-purpose models from big model vendors would just become the foundation.

Right. So what makes this product compelling is that it lets teams own their model assets.

Then there's number three, Orbit, with over 130 votes. This one's kind of anti-AI, isn't it?

I laughed when I saw this one. It's treating the disease of doomscrolling.

You set your schedule, the app locks automatically, and if you want to unlock early, you have to pay a price.

What kind of price? Money?

Hold a glowing orb and do squats, ask a friend for help, pay a little more each time, or go to The Gate and win a round.

That design is brilliant. It turns mindless scrolling into something you have to actively pay for.

The core idea is to put a price on something free. Most of the time you just can't be bothered to unlock it.

So to sum up these three products, I think there's a common trend.

Go ahead. I bet you're thinking the same thing I am.

They all make the cost of decisions and behaviors explicit. One rehearses user reactions, one accumulates data assets, and one puts a price on addiction.

That's a great summary. Today's winners are all tools that help users avoid detours.

If I had to recommend just one, I'd pick TheySaid 4.0, because it fits into the workflow most naturally.

If it were up to me, I'd bet on Overmind. It has more long-term value and is the most practical infrastructure for AI teams.

Alright, we're each on our own side. Let the listeners decide.