Amazon
LEGO Technic Ferrari Daytona SP3
$389
Strong model match with a clear in-stock listing.
Visual thesis
A warm editorial-style interface for gifting, where a wishlist feels like a curated collection instead of another utility list.
A platform where a wish becomes a clear gift decision and a real purchase link.
WishlistAI combines personal wishlists, parameter-based gift discovery, and AI search for live shopping offers. The base layer stays free, while the AI layer becomes the premium upgrade.
Core promise
Not just storing wishes, but helping people give the right gift.
Main moat
The AI ranks real offers instead of inventing fake links.
Revenue
Free wishlists, paid AI search, tracking, and family workflows.
AI gift intakeLive sourcing
Free-form input
"Looking for a Ferrari Lego set for a teenager, but without collector overpricing"
OccasionGenderAgeBudgetInterestsStyleGift format
Target
LEGO Technic Ferrari Daytona for collectors 18+
$372
Lower price point with straightforward delivery options.
Specialty Bricks
Ferrari Daytona SP3 collector build kit
$401
A niche retailer, but still a relevant match for the request.
Content plan
Three products inside one service.
Wishlist Management
Private and public wishlists, multiple occasions, sharing, private notes, and spoiler-free gift reservations.
Gift Finder
Gift discovery by recipient context: occasion, age, interests, budget, relationship, and lifestyle.
AI Shopping Links
Free-form wish input with three real purchase links and a short explanation of why they fit.
MVP scope
Build the core first, then deepen the AI layer.
The first release should optimize for a strong loop: save a wish, share the list, find a good gift idea, and attach real shopping options fast.
01
Wishlist MVP
Profile, lists, wish cards, links, priorities, statuses, public sharing, and gift reservation.
02
Gift discovery by filters
Occasion, role, and interest taxonomies narrow broad ideas into context-aware gift suggestions.
03
AI search for live offers
The model normalizes free-form intent, builds a search query, ranks live offers, and returns the best three links.
Monetization
Core value stays free. Paid value starts where compute cost and visible time savings appear.
Free
$0
A base tier for personal wishlists, sharing, and lightweight gifting flows.
Up to 3 active wishlists
Manual wish and link management
Public pages and reservations
Limited AI search quota
Plus
$8 / mo
The main AI plan with auto-filled cards and advanced gift discovery.
Expanded AI search quota
AI gift recommendations
Price and availability tracking
Unlimited wishlists and profiles
Family
$18 / mo
A shared plan for couples and families planning events and larger gifts together.
Up to 5 members
Group gifting
Shared event calendar
Priority AI processing
Project structure
Keep a single Next.js modular monolith, but make localization and mobile readiness explicit from day one.
src/app/[locale] — locale-aware App Router with dedicated URLs per language.
src/lib/i18n — locale config, dictionary types, and translation dictionaries.
src/features/wishlists — list, card, and reservation domain logic.
src/features/gift-finder — filters, recipient profiles, and curated suggestions.
src/features/ai-search — request normalization, ranking, and search history.
src/features/subscriptions — plans, limits, and billing logic.
src/app/manifest.ts — PWA-ready manifest for iOS and Android install flows.
Interesting ideas
Gift Match Score to estimate how relevant a gift is for a specific person.
Price Drop Alerts after a purchase link has been added to a wishlist item.
Anti-duplicate logic so friends do not accidentally buy the same gift.
A Taste Profile that learns from saved wishes and preferred categories over time.
Mobile / PWA
The product is designed as a touch-first service that can later behave like an installable web app on iOS and Android.
This is more than responsive layout. We are laying down safe areas, standalone manifest support, mobile-first actions, and an architecture that can evolve into app-shell behavior, offline states, and push flows.
Responsive UI
Touch-first layout
Large tap targets, readable sections, a fixed mobile CTA, and a grid that keeps its hierarchy on narrow screens.
Installability
PWA groundwork
Manifest support, standalone display mode, and viewport fit so the site can work like a web app after being added to the home screen.
Future native wrappers
Capacitor-friendly architecture
Locale routing and App Router remain compatible with a future iOS or Android wrapper without rewriting the product surface.
Operational focus
Fast mobile gifting flows
Open a wishlist, reserve a gift, find a link, and share it quickly with one-handed mobile interactions and low UI friction.
Next move
The product foundation is set. The next step is moving from concept into domain entities, auth, and real application screens.
Now the project can grow into schema design, locale-aware app pages, wishlist CRUD, and AI search with subscription limits without reworking the foundation.