No worries, thanks for the heads-up. I signed up because your post explicitly invited people to try the product and share feedback, was genuinely interested in helping from a GTM strategy perspective and already had some notes I was going to provide to you about my onboarding experience with the product. I understand wanting to protect what you're building, and I'll respect that. Best of luck with the launch!
First off, congrats on the launch! Really interesting space, and I've actually been experimenting with AI-assisted wardrobe planning and a personalized outfit concierge myself, so this caught my attention. A few thoughts from both a GTM and user-experience perspective: Positioning: I suspect "take your closet everywhere you shop" is a stronger acquisition hook for a specific moment of frustration, but "get dressed in minutes" has the potential to be a stronger recurring value proposition. I'd test them against different audiences rather than choose one universally. The distinction between what gets someone to download and what keeps them using the product feels important. Pricing / free vs. paid: I'd be cautious about optimizing for a lower price before understanding which behaviors correlate with retention and conversion. The key question might be whether customers perceive Premium as unlocking features or meaningfully reducing the effort of getting dressed. First 100: I'd start with a tightly defined customer segment, high-touch onboarding, and direct conversations. At this stage, learning why people activate, return, and pay seems more valuable than maximizing downloads. One observation from my own experiments: recommendation quality is only part of the equation. Trust is huge. Knowing what someone owns, what's available after laundry, what they've worn recently, and what's appropriate for their work/lifestyle context matters enormously. I've also found that onboarding should probably optimize for getting to a trustworthy first recommendation quickly, rather than collecting an exhaustive profile. Happy to compare notes or help pressure-test the GTM approach. I've been spending a lot of time thinking about the intersection of personalization, decision fatigue, and how these experiences create recurring value.
