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ShipAI
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ShipAI

Next.js SaaS Starter Kit for Fast Product Launches

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ShipAI.today helps you build and launch AI products on top of a modern Next.js stack with the core product infrastructure already wired. The boilerplate includes authentication, Stripe billing, admin operations, background jobs, storage, observability, programmatic SEO, and AI infrastructure for production-oriented products.


It is designed for teams that want to move quickly without compromising on architecture. Instead of spending weeks assembling the same SaaS building blocks, you start from a scalable baseline with full source code and commercial usage rights. It is especially well suited for AI SaaS products that need research workflows, usage-based monetization, structured content growth, and a clean path from MVP to production.

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Features

- 🔐 Auth & Access: Magic links · Phone OTP · OAuth (Google, GitHub, Discord)

- 💳 Billing & Limits: Stripe checkout · Subscriptions · Webhooks · Usage metering

- 🤖 AI Infrastructure: 11 handlers · Deep-research flow · Qdrant vector memory · BullMQ

- 🗂️ Admin Panel: User mgmt · Analytics · Trace viewer · Log explorer · Payment controls

- 🎨 Landing & UI System: Full production landing · 60+ shadcn components · Tailwind v4 · Dark mode

- 🔍 SEO Foundation: Programmatic SEO · Sitemap · Robots.txt · JSON-LD · Metadata utils

- 🐳 Dev Infrastructure: Docker Compose · PostgreSQL 17 · Redis 7 · MinIO/S3

- 📱 Telegram Bot: Webhook-driven · AI chat · Billing upgrades · Slash commands

- 🤝 Agent-First DX: AGENTS.md · 10+ skill packages · Cursor + Copilot + Claude ready

- 🗄️ Memory & RAG: Qdrant vector DB · Neo4j graph DB · Hybrid search retrieval

- 📧 Email Templates: React Email · Transactional flows pre-built

- 🌐 i18n: 7 languages pre-wired

Use Cases

- Launching an AI SaaS MVP with auth, billing, and core infrastructure already built

- Building AI chat, assistant, or copilot products on top of a production-ready Next.js stack

- Creating research-heavy AI apps with multi-step workflows, memory, and background jobs

- Shipping subscription-based SaaS products with usage limits, checkout, and customer billing portal

- Building internal AI tools or client-facing dashboards with admin and operations support

- Launching AI products with programmatic SEO pages, metadata, sitemap, and structured data included

- Creating white-label or client SaaS products faster as an agency or freelance developer

- Extending the boilerplate into niche AI products such as support assistants, knowledge tools, or vertical copilots

- Adding multi-channel AI experiences, including Telegram-based AI chat flows

- Using it as a serious starting point for founders who want to validate and monetize faster


Comments

Open source boilerplates cool but if its good it starts to be sponsored by companies, Paid ones have been on the market for many years and do not offer anything innovative, so i created my own based 10+ years of development