Kiranism/next-shadcn-dashboard-starter

Free, open source, AI-friendly admin dashboard template built with Next.js 16, shadcn/ui, Tailwind CSS, and TypeScript. Production-ready tables, forms,...

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Summary Information

Updated 5 minutes ago
Added to GitGenius on September 9th, 2026
Created on November 2nd, 2023
Open Issues & Pull Requests: 7 (+0)
GitHub issues: Enabled
Number of forks: 1,592
Total Stargazers: 6,979 (+0)
Total Subscribers: 41 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.7 hours
Mean response time: 7.1 days
90th percentile: 28.3 days
Tracked items: 53

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 9% of issues opened in the past year have been closed. Three people close 80% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 4
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 622 days
Stale 30+ days: 3
Stale 90+ days: 2

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • help wanted (4)
  • discussion (2)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

next-shadcn-dashboard-starter is an admin dashboard template built with Next.js, shadcn/ui, Tailwind CSS, and TypeScript.

The template addresses the problem that most dashboard starters are static mockups requiring substantial rebuilding when connected to real data. This starter takes the opposite approach by implementing every feature as a working, production-ready system. Data tables perform server prefetch, client-side caching with React Query, and URL-synced search, filtering, sorting, and pagination. Forms use reusable, composable fields with Zod validation and handle real mutations with cache invalidation. Authentication, organizations, and billing are implemented end-to-end rather than as placeholder UI.

The template suits developers building SaaS applications, internal tools, and admin panels who want to start from patterns they would write themselves rather than strip away unnecessary boilerplate. It follows industry-standard implementations such as the official TanStack Query SSR pattern with server prefetch and HydrationBoundary, organized in a feature-based structure with a clean API layer per feature. The built-in cleanup script allows removing any feature not needed for a specific project in under a minute, keeping the codebase minimal and focused.

Development activity shows consistent engagement with the codebase. The project maintains an organized structure with clear separation of concerns across features. Updates address both the core framework and the surrounding ecosystem of dependencies. The maintainer actively responds to the needs of users building on the template, as evidenced by the inclusion of practical tooling like the cleanup script and attention to production-ready patterns rather than demo-only implementations.