u/DryCarpenterwise

I’ve been working on a small AI image project for a while now, and I feel like I’ve hit that awkward middle stage where it’s no longer just an experiment, but also not clearly a business yet.

The tool itself works and can transform images in different ways, but I’m struggling more with the positioning than the product. I can’t confidently say who the long-term user is or what would make someone come back consistently instead of just trying it once out of curiosity.

That’s what’s making the decision difficult. Part of me feels like there’s something here worth building on, and another part feels like I might just be holding onto it because I’ve already invested time into it.

For those of you who’ve been in this position before, how do you decide when to commit and go all in versus when to move on?

Would really appreciate honest input, especially from people who’ve had to make that call before.

I’ve been going back and forth on a small idea and I’m not sure if it’s something people would genuinely use or just one of those ideas that sounds better than it is.

The rough concept is a tool that lets you scan a physical item and get some kind of useful information back, like identifying what it is, a rough sense of value, or even some signal around authenticity. The main goal would just be reducing how much manual searching you have to do when you’re dealing with random items.

I came across something called Superfly Reverscan while digging around, which seems to be trying something along those lines, and it made me realize I don’t really know if this space is already figured out or still early.

What I keep getting stuck on is whether people would actually trust something like this enough to rely on it, or if they’d still end up double-checking everything anyway.

I’m not building anything yet, just trying to understand if the problem is real or if I’m overthinking it. Curious how others here would look at this.

Not sure if this is a dumb question, but I’ve been trying to find Mac apps that go beyond just scanning documents or QR codes.

I’m more interested in whether there’s anything that can actually recognize physical items and give useful info back, like what something is or whether it’s legit.

Everything I’ve seen so far on macOS feels very focused on files and workflows, and anything closer to this seems mostly mobile-based.

I did come across something called Superfly Reverscan while searching around, but I don’t really know how accurate or reliable tools like that are yet.

Is this just not really a thing on Mac, or are there apps I’m missing?

It’s focused on simplifying a repetitive content workflow, so the initial positioning felt straightforward. But after a few early users got access, things started to feel less clear.

What I’m seeing now is that people aren’t all using it the same way. Some care mostly about saving time, others are more interested in scaling output, and a few are applying it in ways that weren’t even part of the original plan.

It’s not a bad thing, but it does make it harder to decide what to prioritize next. I’m not sure if this is a sign to niche down harder or to lean into the broader use cases that are emerging.

I’m still early, so I don’t want to over-adjust based on limited data, but I also don’t want to ignore patterns that could matter later.

Curious how others here have handled this stage. When users start taking your product in slightly different directions, how do you decide what to focus on?