Imagine this: Both devices on the same wrist, same night of sleep, same morning. One shows green, one shows red. And neither will tell you how it decided. That's not a hardware problem. It's an algorithm problem. Different weightings, different baseline calculations, different thresholds - all proprietary, all invisible. You're left choosing which black box feels more right today. The reason we open-sourced the scoring algorithms in Open Wearables wasn't just philosophical. It's because conflicting scores are meaningless without context, and context requires transparency. When you can see exactly how a Resilience Score weights HRV versus sleep duration versus resting heart rate, you can actually reason about the discrepancy. Has anyone else hit this? Curious whether people trust one device more than others and why.
I'm the CEO of UXPin. We launched Forge on Product Hunt today. But before I talk about that, I want to share what the last week taught me about what people actually want from AI design tools.
Claude Design launched 2 weeks ago. My LinkedIn feed exploded. I spent the week reading every take, replying to dozens of posts, and testing Claude Design myself. Five patterns showed up over and over.
1. Token burn is the #1 frustration
Multiple users maxed out weekly limits in 2-6 hours. One burned 25% on 7 slides. The community built a workaround strategy: Opus for first prompt, Sonnet for edits, Haiku for tweaks. When your users need a cost mitigation strategy on day one, that's a signal.
Asa.team
