
Hey IH! 👋
After months of building, I just launched Underpriced app on iOS and wanted to share the journey with this community.
The problem: I've been into reselling and flipping as a side hustle. The hardest part isn't finding items, it's quickly evaluating whether something is worth buying. You're standing in a thrift store, holding some vintage gadget, and you need to decide in 30 seconds if it's worth $5 or $500.
The solution: Underpriced is an AI-powered reselling app that analyzes product photos and cross-references real sold data from eBay, Mercari, and more to give you instant pricing estimates and flip recommendations, right from your iPhone.
Tech stack:
• React + Vite frontend
• Vercel serverless functions for API
• Firebase for auth and data
• Capacitor for the iOS wrapper
• Gemini API for image analysis
• eBay API for comparable sales data
What I learned building this:
• Capacitor made the web to iOS transition surprisingly smooth
• AI costs add up fast, so I had to implement smart caching and a credit system
• The reselling community is incredibly engaged and gives great feedback
Where things stand:
• Web app has been live since November 2025
• Android launched earlier this year
• iOS just went live this week
• Growing toward profitability with a credit-based model
I'd love feedback from this community on a few things:
• How does the value prop land?
• Any thoughts on pricing models for AI-powered tools?
• What would actually make you open an app like this mid-thrift-store-aisle?
iOS AppStore: https://apps.apple.com/us/app/underpriced/id6759008101
Thanks for reading, happy to answer any questions about the build!
Glad to know underpriced app finally made it to app store!
Thanks! Let me know if you have any feedback - we're trying to build the best app for resellers!