Outfitlog

Your Forever Closet

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Outfitlog – Your forever closet

Inspiration

Most people forget what they’ve worn, waste time deciding outfits, and can’t easily track what fits an occasion. I wanted a tool that makes outfit documentation effortless, fun, and useful. The inspiration came from noticing how much time my partner spend deciding what to wear, often trying to mix different outfit styles & not repeat the same outfits or forgetting about great options already in the wardrobe.

What it does

Outfitlog is a simple app that lets you document and categorize your outfits.

  • Snap or upload a picture of yourself in an outfit
  • Assign it to a category (like “work,” “date night,” or “casual”) or create your own with an emoji
  • Our AI processes and organizes your outfit automatically
  • View your personal archive in a clean, simple interface
  • Use the Roll feature to shuffle through saved outfits like a wardrobe slot machine

The result is a digital wardrobe log that helps you pick outfits faster and more confidently.

How we built it

  • Frontend: Built in React Native + Expo for a smooth mobile experience across devices
  • Backend & Storage: NestJS + Neon + Prisma + Cloudflare R2 for image storage and real-time sync
  • AI Processing: Lightweight image model for bg removal + OutfitAgent
  • Monetization: RevenueCat powers subscriptions and the free trial experience, making billing seamless and transparent
  • Design: Minimalist interface with focus on speed and usability

Challenges we ran into

  • Getting AI Processing to work smoothly without overcomplicating the MVP
  • Making the UI intuitive while still offering customization
  • Integrating RevenueCat cleanly with trial logic and subscription tiers
  • Testing across different devices to ensure consistent performance
  • Optimizing the flow for max conversion

Accomplishments that we're proud of

  • Built a working MVP in a short sprint
  • Seamlessly integrated RevenueCat for subscription management
  • Designed a feature (the Roll) that feels playful and unique, not just functional
  • Created a tool that actually solves a daily problem for people

What we learned

  • How powerful RevenueCat can be for handling all subscription logic in one place
  • The importance of keeping product scope small to ship fast
  • That even simple AI models can deliver huge value if applied to the right pain point
  • That design decisions (like the Roll feature) can make or break user delight

What's next for Outfitlog

  • Creating a AI Agent to chat and mix and match outfit right in the app
  • Social features: letting users share their outfits with friends or get feedback
  • Improving the splash and showing paywalls multiple points

Distribution Mechanics

Right now, our distribution strategy is simple: find a great hook and double down on it.

  • TikTok first: Posting Outfitlog clips with strong hooks that highlight how fast and fun the app is.
  • Instagram: Creating a dedicated page for Outfitlog to showcase guides, reels, and outfit inspiration.
  • Ads that scale: Once we find a hook that resonates, we run proper ads with tight targeting in great locations.
  • Influencer partnerships: Collaborating with fashion influencers to create videos showing Outfitlog in action.
  • Iteration loop: Test multiple hooks → find the one that works → scale it through ads and influencer content.

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