Railway-style SaaS

Railway makes it easy to deploy fast, affordable SaaS with OCI, CI/CD, and environment management for Next.js and PostgreSQL. Ideal for MVPs and AI projects.

domingo, 17 de agosto de 2025 • 3 min read • Q2BSTUDIO Team

Artificial-Intelligence-

I have worked as a contract developer for quite some time, and every time I need to recommend a deployment platform to a small business, I think about how difficult it is to find an affordable option that is easy for a small team to manage and doesn't break the budget.

Large solutions like AWS and Azure cloud services are powerful and offer endless scaling and security options, but for small businesses, the prices are a nightmare: unpredictable bills that skyrocket with usage and a setup that requires hours of provisioning and infrastructure management.

On the other hand, Vercel is fantastic for rapid deployments of frontends and Next.js applications, with edge functions that speed up the experience, but when a business needs persistent databases with backups, servers running scheduled tasks, and a full-stack solution, Vercel often falls short or requires additional components that increase complexity and cost.

Recently, I discovered Railway and was surprised by its practical approach: a platform that unifies deployment, environment configuration, variable management, and observability with defaults designed for quick startup, and options to fine-tune performance when needed.

Railway turns almost everything into a compatible OCI image and abstracts much of the operational work: you can point to the source code and the platform handles the rest, offering CI/CD integration, monitoring, and configuration management per project and service.

I decided to build a first version of a SaaS for managing a photography studio during a Railway hackathon. I chose a simple, well-known stack: Next.js for frontend and backend, Postgres as the database, Drizzle for queries and relationships, and Better Auth for authentication. I started with turbo repo, but when I got bogged down with caches and configurations, I went back to create next app to avoid wasting time on infrastructure and focus on features.

In a few days, I developed a prototype with key features for a studio: owners can create organizations, invite members, and control permissions; owners and admins can manage bookings, sessions, deliverables, and assign teams; there is payment tracking, status control, and expense and client management. It's not a complete studio solution, but it is a functional and useful MVP thanks to approaches like Railway's that speed up time-to-market.

During deployment, I had minor issues with pnpm workspaces that I resolved by consulting the documentation and adjusting the template. The experience shows that Railway facilitates the deployment flow but requires reviewing certain details when working with monorepos or complex templates.

If you want to try the template I used, you can deploy it directly on Railway at https://railway.com/deploy/q3WRfk?referralCode=xaLCCP and see the application at https://app.recreatt.com/.

At Q2BSTUDIO, we are a custom software and application development company specialized in enterprise solutions. We offer custom software, custom applications, and comprehensive services that include artificial intelligence for businesses, AI agents, business intelligence services, and dashboards with Power BI. We also cover cybersecurity and consulting on AWS and Azure cloud services to ensure secure and scalable deployments.

Our approach combines full-stack development expertise with artificial intelligence and security capabilities: we implement AI agents to automate processes, AI integrations to improve user experience, and business intelligence projects that transform data into decisions with Power BI. If you are looking for custom software that integrates AI and meets high cybersecurity standards, at Q2BSTUDIO we design practical and scalable solutions.

Summary: Railway is a powerful middle-ground option for building and deploying SaaS without the complexity and upfront cost of large public clouds, and with Q2BSTUDIO you can take that idea to the next level by combining custom applications, artificial intelligence, AWS and Azure cloud services, cybersecurity, business intelligence services, AI agents, and Power BI to accelerate your business value.

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