ZShip
Cloudflare-native multi-tenant AI SaaS development template.
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ZShip is a Cloudflare-native, multi-tenant AI SaaS development template and boilerplate designed for fast-moving teams and builders. It provides a modular, multi-service foundation using over 10 independent Cloudflare Worker services to handle critical SaaS business layers such as authentication, multi-tenant isolation, enterprise billing, customer accounts, and post-purchase asset delivery. Instead of just a marketing landing page, ZShip acts as a comprehensive operational system where developers can launch multiple sites, deploy built-in AI gateways, and manage licensed downloads, support tickets, credits, documentation, and feature roadmaps from a single unified platform.
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- Cloudflare-native microservice architecture using 10+ Workers, D1, KV, R2, and Pages
- Native multi-tenant isolation via app_key model to manage multiple sites
- Comprehensive customer platform handling orders, licenses, GitHub access, and downloads
- Built-in enterprise billing with Stripe integration and credit/component store systems
- Integrated content and support tools including docs, blog, changelog, roadmap, and ticket flows
- Local-first Dev Console for guided setup, dependency checking, and local stack testing
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Developers can start by deploying the template using the local-first ZShip Console, which guides setup, manages environment variables, and runs migrations. Existing workflows sync code, releases, and documentation with the ZShip engine. Builders can configure pricing, integrate Stripe, route AI providers via the built-in AI gateway, and use the ready-made frontend layouts in Nuxt and Astro to launch and operate multiple SaaS platforms from a single architecture.
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- Launching multiple distinct AI SaaS products quickly without rebuilding auth or billing each time
- Managing secure software delivery via licensed downloads and automatic GitHub repository access
- Creating an AI-powered platform with unified provider routing and an integrated credit consumption model
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