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App Corp
Full-service software engineering
Engineering your experience…
App Corp
Full-service software engineering
Engineering your experience…
From idea validation to launch — ship production-ready AI SaaS MVPs in weeks, not months.
I work with founders to design and build AI-powered SaaS MVPs that go beyond prototypes. From idea validation to launch, I focus on shipping real, usable products with scalable architecture — without creating technical debt.
3–6 wks
Delivery time
$2K–$8K+
Budget range
4
Production stages
5+
AI capabilities
Whether you're building an AI tool, SaaS platform, or startup MVP, this service takes you from idea to launch in 3–6 weeks. The output is a production-ready, deployment-ready system with authentication, user management, core product flows, AI integrations, and API connections — not a throwaway prototype.
I validate the idea and define MVP scope upfront, design the system architecture, build in weekly sprints, integrate AI features, and hand over a fully deployed system that's ready for real users. The tech stack — Next.js, Node.js, Supabase, PostgreSQL, OpenAI — is chosen for speed without sacrificing scalability.
Complete, runnable SaaS application with a Next.js frontend and Node.js backend. Designed for real users, not just demos. Mobile-responsive and production-ready from day one.
Google OAuth sign-in, email-and-password via Supabase Auth, session management, user profiles, and optional role-based access. No half-baked auth — production-grade out of the box.
Custom dashboards tailored to your product's key metrics and workflows. Core user flows are fully built, not stubbed — your users can sign up, log in, and get value immediately.
AI copilots and assistants, RAG and document-based AI, AI workflows and automation, content generation and classification, and custom prompt systems. Model-agnostic — supports OpenAI, Claude, Gemini, or open-source models.
PostgreSQL schema design with Supabase, row-level security, optimised queries, and an architecture that can scale from your first 100 users to tens of thousands without a rewrite.
Stripe payment and subscription integration, third-party API connections, webhook handling, and rate-limited external service management. Your MVP talks to the tools your business needs.
CI/CD pipeline via GitHub Actions, deployment to Railway or Vercel, custom domain configuration, Sentry error monitoring, and a deployment runbook so you own the infrastructure from day one.
We lock the MVP scope together. I review your idea, identify the core feature set, define what goes into v1 versus v2, and validate that we're building something real users will pay for.
I design the system architecture, set up the database schema, configure authentication, and establish the CI/CD pipeline. The foundation is built for scalability from the start.
I build the full SaaS MVP in weekly sprints — dashboards, core flows, API integrations, and AI features. You see progress every week and provide feedback to keep the product on track.
I deploy the system to your infrastructure, configure monitoring and error tracking, hand over the GitHub repository with full documentation, and provide a launch checklist for going live.
A first-time founder had a validated idea for an AI-powered SaaS product but no technical background. They had tried working with two previous developers who built prototypes that were neither scalable nor deployable. The founder needed a production-ready MVP they could show investors and onboard beta users to within 6 weeks.
We scoped the MVP in week 1, built the full application over 4 weeks of sprint-based development, and deployed in week 6. The product included user authentication, a custom dashboard, OpenAI-powered AI assistant features, Stripe subscription billing, and a PostgreSQL-backed architecture designed to scale. Weekly progress reviews kept the founder aligned and informed throughout.
Many of our best projects combine two or more services from the list below.
Ship AI agents that actually work in production
From idea to working product, built to scale from day one
Turn your data into an AI that actually knows your business
Let's build something great
Book a free 45-minute scoping call. Walk away with a clear picture of what we would build, how long it would take, and how much it would cost — regardless of whether you move forward.
Average response time: 2 business hours. No commitment required.
"App Corp delivered a production-ready AI platform in 11 weeks that our internal team estimated would take 9 months. The architecture is clean, the docs are thorough, and the product works exactly as specified."
Emily Park
CTO, PetScreening
50+
MVPs
98%
Retention
10wk
Avg. launch