I almost ignored a huge user signal.
I built playmix, an AI tool for games. It was working. Users were active. I was heads down improving it.
But I kept seeing characters and animations that didn't belong.
• A sweaty broccoli floret for a workout app.
• A neon octopus for a multi-agent AI tool.
• A tiny, armored armadillo for a password manager.
These weren't game makers. These were app builders.
They were hacking my game tool for something completely different. They wanted their brands to stand out and their users to feel something.
My first instinct? That’s not what this is for.
But the signal didn't stop. So I leaned in. Talked to them. Understood the problem.
No one could find a fast, affordable way to get a professional animated mascot.
So I also launched what they asked for.
ZIGGLE.ART - create your custom fully animated mascot in 10 minutes as easy as a prompt 🦄
The best pivots usually don’t come from brainstorming, they come from users misusing your product in valuable ways.
When people keep bending a tool for another job, that’s often the real market talking.
Nice job listening to users, talking with them, and ultimately building what they needed!
The instinct to dismiss unexpected use cases is almost universal. Users doing something "wrong" with your product is usually the most valuable data you'll collect — it means demand exists somewhere you didn't anticipate.
The hard part is recognizing it in time. Most founders explain it away as edge cases or noise. You didn't. That's the actual skill.
That moment where you thought “this isn’t what playmix is for” is the part most people don’t recover from.
It’s easy to correct the behavior and pull users back into the intended use instead of questioning the assumption behind it.
What made you pause there instead of enforcing the original direction?
Because the pattern you described wasn’t just people misusing the tool, it was them consistently trying to solve a different problem through it.
Feels like that’s the real shift:
not just seeing the signal,
but being willing to let it challenge what you thought you built in the first place.
That’s what actually turns something like playmix into Ziggle.
Leaning into the 'app builder' signal is the right move, Eve. But here’s the tension: these 'hacker' cohorts are notorious for high-intent novelty followed by immediate churn. If you’re just tracking active users and not the Behavioral Drift in their usage patterns, you’re flying blind on your real LTV.
I just finished an audit on a major retail dataset where this exact type of signal revealed a huge revenue leak that standard reporting missed. I’m looking to run a 72-hour integrity audit for one AI builder this week to see if my model can predict which of these Ziggle cohorts will actually stick long-term.
I'm only opening a spot for one brand in this category to pilot the framework. If you aren't 100% locked in on your retention roadmap, we should compare notes. If you're already set, no worries, keep riding the wave.
Should we chat, or are you all set?
it looks really cool, i love the animations honestly
how long till you noticed the changes in the app and worked with the idea of new characters?
The sweaty broccoli is the signal. Most founders would have overlooked it—it wasn't in the plan, and the user was using the tool incorrectly. But users don't read roadmaps. They solve problems. When the pattern repeats across a workout app, an AI tool, and a password manager, it's no longer noise. It's a market speaking in metaphors. You listened. That's not feature creep. That's discovery.