Goldie
Know what it's worth. Decide what to do.
My AI-powered workflow
How I shipped in half a day:
1
Plan with Claude
Defined the problem space, mapped user flows, and scoped the MVP down to three core flows
2
Design with Figma
Set the UI direction, component patterns, and visual language.
3
Build and deploy with Replit
Shipped a live app with real-time gold price API, map integration, and AI-assisted flows. Went from zero to deployed in one session.
Problem
Knowledge gap
"I don't know what 14k means or how weight affects price."
Trust gap
No baseline, so any offer feels suspicious.
Action gap
Even if I knew the value, I wouldn't know what to do next.
How might we make selling gold less intimidating for people doing it for the first time?
User Flow
One connected journey: describe your jewelry, get a realistic value range, compare buyer offers, and draft an outreach message, all in one flow.
Design decisions
Value estimation
Show a range, not a number. Single estimates create false precision.
Decision support
Buyer comparison → Payout ranges by type so you know why offers differ.
AI Outreach
Goldie writes a ready-to-send message (SMS/email) with item details, estimate range, and questions to ask to help with decision making
Trade-offs
Final Product
Next step
Completion rate to see are people finishing the estimate flow or dropping off?
Message generation rate to learn if users are taking action to see if decision-support UX works.