Build shape
AI fortune consumer web and App in Toss product
AI fortune web and App in Toss product
A product available on the web and App in Toss for saju, tarot, dreams, compatibility, horoscopes, naming, and wealth readings, with crystals, Veda messages, gacha tickets, and Spirit Guide collection for repeat use.

Product brief
Kedigram is a web and App in Toss product for AI fortune readings. The current service presents free and premium readings including dream interpretation, daily horoscope, compatibility, past life, MBTI love compatibility, daily saju, baby naming, and lifetime wealth readings.
The live service is structured like a repeat-use app rather than a static landing page. Users enter from the reading catalog on the web or App in Toss, open result flows, buy crystals, Veda message packs, and gacha tickets in the shop, collect Spirit Guides in Kedigram, and move through chat and profile surfaces. The product combines multilingual SEO, auth, wallet/payment behavior, message-based chat, repeat-use content, and collectible mechanics around a consumer fortune experience.
Scope
Problem
A fortune service needs more than one result screen. After users enter from the web or App in Toss, free readings, premium readings, crystal top-ups, Veda chat, gacha tickets, and Spirit Guide collection had to form one repeat-use loop.
Implementation
The Next.js product separates home catalog, reading input, results, shop, Kedigram collection, chat, and profile flows, then ties web and App in Toss entry, auth, wallet, checkout, Veda messages, multilingual SEO, and OG rendering into the product structure.
Best fit
This structure fits consumer web services that combine AI content, lightweight payments, message-based chat, collectible retention, and multilingual acquisition.
Technical structure
Build shape
AI fortune consumer web and App in Toss product
Primary stack
Next.js · React Query · Zustand · next-intl
Data & sync
Catalog/Order/Wallet API · Orval · chat-stream
Operational surface
Google OAuth · crystal checkout · 4-step reading flow · result history
Screens
Web



App



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