0-to-1 AI Product · Built with Lovable

GiftMind — Never Forget a Gift Again

GiftMind remembers your occasions, suggests personalized gift ideas and points you to boutique stores worth buying from — replacing the mental math of "who, what, by when" with one dashboard of upcoming occasions and gift status.

Role
Solo builder — problem to working prototype
Method
Problem discovery, occasion-tracking flow design, prompt engineering
Scope
Personal gifting, AI-assisted suggestions
The problem

Remembering the date is only half the problem — knowing what to get is the other half

A calendar reminder can tell you a birthday is coming. It can't tell you what to buy, whether you already gave that person something similar last year, or where to actually find it in time. Most gifting still runs on memory and a last-minute scramble.

Solution

GiftMind: one dashboard for who, what, and by when

OCCASION TRACKING

Every person and date, in one place

Upcoming occasions surface automatically with days-until and a clear status — Need Idea, Shortlisted, Purchased — instead of living scattered across a calendar and your memory.

PERSONALIZED IDEAS

Suggestions shaped by the person, not a generic list

The gift finder builds ideas around who the gift is for, so recommendations don't repeat what's already been given in past years.

DISCOVER STORES

Boutique stores, not just another marketplace link

Recommendations point toward unique stores worth buying from, instead of defaulting to the same big marketplace search every time.

Prototype

A working app, not just a flow diagram

GiftMind is built and live — occasion tracking, the gift finder and status management all work end to end in the prototype below.

Live prototype — GiftMind Open full screen ↗
Open interactive prototype ↗
Process

Started from a scramble, not a feature list

Discovery
Problem discovery — started from how often a good occasion reminder still ends in a last-minute, unmemorable gift.
Flow
Occasion-tracking flow design — mapped occasions → gift finder → status tracking as one continuous loop instead of three disconnected tools.
Prompts
Prompt engineering — wrote the prompts that turn a person's profile and gift history into ideas that don't repeat.
Build
Prototype — shipped a working, clickable app on Lovable rather than leaving the concept as a deck.