The first group tore their workflow apart and rebuilt it around AI. The second group is waiting for the dust to settle before committing to anything.

Just checking what SaaS tools you think have become overpriced because they are packed with features most users don t actually need.

Not necessarily bad products. More like tools where the core feature is useful, but the product has grown into a much bigger package, and the pricing now reflects all the extra stuff around it. Perhaps most users only need the core features, but the product makes you pay for a full suite with integrations, AI, this and that.
For example, some people think Photoshop is too much and switch to Canva instead.
What do you think? And how can founder create the next Canva from our discussion?

I went through my own view counts this week and found something I don't know what to do with.

One video is taking 246 of my last 355 views. The next two took 31 and 20. The one that's winning is about the last step of the process the functional, unglamorous part I treat as a footnote everywhere else. Everything I actually lead with is sitting in the two that got 51 between them.

It's one video and I know how thin that is. But close to five to one against the next two combined is either a signal or the algorithm sneezing, and I can't tell which from where I'm standing.

The two things I could do:

I've noticed a change in how I think about early product decisions since using AI more heavily.

Before, the question was often:

The other day I saw a poll on LinkedIn which said one of the biggest ongoing struggles of startups and small businesses is reliable, scalable lead generation especially beyond the usual tools like Apollo, ZoomInfo, Clearbit, etc.

Product Hunt often features some fresh and creative approaches to data. I have seen some around company enrichment, contact intelligence, trigger signals or even outreach automation.
But often PH launches get forgotten after their launch day.

What are some lesser-known or recent data tools you ve come across on Product Hunt that help with lead gen, enrichment, or prospecting?

Think about it,

What are most interesting discoveries on Product Hunt that are super obvious later, but invisible at the start.

I've been building small applications with AI much faster than before.

But I keep hitting the same problem after the app works: getting it out of my laptop and into someone else's hands.

For small, purpose-built software, the gap between "it works locally" and "someone else can use it" can still involve deployments, cloud configuration, environment variables, domains and other infrastructure decisions.

We re building an AI memory layer that acts like a second brain, something that helps you recall the right file, note, or detail when you need it, without digging.

But here s the big question:

Do you want your AI to remember your insurance policy? That link from 2021? A contract you forgot about?

Where would you personally draw the line between helpful memory and too much ?

At this point in 2026 if you don't have an AI stack, it's hard to imagine how you work. I talk to a lot of founders regularly and one common question i ask out of curiosity: What AI tool do you have in your stack?
And these are the five most common AI tools i keep seeing on early stage founders stack:

1. Superhuman

Even after Grammarly bought Superhuman it is still the fastest way i know to empty an inbox. Shortcuts for triage, reply, and mark as done mean i rarely touch the mouse. That's most of an hour back on a heavy day.