Case study
Adopt-a-Dog Board
Rochester adoptable-dog directory — filterable listings with structured data, built to surface pets locally.
- Year
- 2026
- Role
- Solo developer — full build from data model to deploy.
- Status
- In pre-launch
adopt-a-dog-board.vercel.app
About this project
What it does and how it was built
A directory site that surfaces adoptable dogs around Rochester in a clean, filterable board. Visitors can browse and narrow listings quickly, each with consistent structured data so the entries are crawlable and shareable. The static-first build keeps the board fast even as listings grow, and the local framing helps the right people find adoptable dogs near them.
Role: Solo developer — full build from data model to deploy.
Highlights
- Filterable directory board that narrows adoptable-dog listings quickly
- Consistent structured data on every listing for crawlability and sharing
- Static-first build that stays fast as listings grow
- Rochester-local framing to reach the right adopters
- Mobile-first responsive layout for browsing on any device
Stack
- Next.js
- TypeScript
- Tailwind CSS
- Vercel
AI Tools
- Claude Code
Built with AI as a force multiplier — scaffolding, research, content structure, and code review run through these tools across the build.
Gallery
Screenshots
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