Case study
1mins.in
AI-assisted product listings, stock updates, and buyer catalogs for small sellers.
Summary
Built a catalog tool that helps small teams turn photos, price, stock, and notes into clean product listings and shareable buyer catalogs quickly.
Problem
Small sellers often manage products across phone photos, WhatsApp chats, spreadsheets, and scattered notes. Updating price, stock, description, and buyer-facing catalog details becomes slow, repetitive, and easy to forget. The real need is not a heavy enterprise PIM; it is a calm place to add a listing quickly and share it with buyers.
Approach
I designed 1mins.in around the seller's actual workflow: add a photo, price, stock, and notes once; let the app prepare clean listing details; then expose a buyer-friendly catalog view without forcing the seller to maintain three different places. The product surface is intentionally simple: listing cards, visibility status, stock controls, quick edit actions, and catalog sharing. AI helps with the repetitive copy/detail work, but the seller stays in control of the final listing. The stack is Next.js 16 with React 19, TypeScript, Tailwind, and a typed product data layer. I owned the product UX, frontend, backend shape, deployment, and the first go-to-market version.
Architecture
Result
1mins.in is live as a focused catalog/listing tool for sellers who need faster product updates and shareable buyer catalogs. Solo build, end-to-end: product thinking, UI, data model, frontend, backend, deploy, and outreach.
Highlights
- AI-assisted listing flow for product descriptions and catalog-ready details
- Fast stock, price, and notes updates for sellers who work from photos and WhatsApp
- Shareable buyer catalog flow with clean product cards and seller-friendly controls
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