How long does it take to go from idea to launched product?

A Discovery Sprint runs 1–2 weeks. MVP delivery takes 6 to 10 weeks. Most clients have a live product within 3 months.

Who owns the code and the product?

You do. All source code, designs, documentation, and infrastructure configurations are transferred to you upon delivery.

Do you work on a fixed-price or time-and-materials basis?

Discovery Sprints are always fixed-price. MVP builds are scoped with a fixed estimate after Discovery. Monthly retainers are flat rate.

The Best Tech Stack for SaaS in 2026 (From a Studio That's Shipped 27 Products)

After launching 27 products, we've converged on a stack that optimizes for one thing: speed to revenue. Not the trendiest tools — the ones that let us ship production-quality SaaS in 6-10 weeks.

Our Default Stack

Frontend: Next.js + Tailwind CSS

Next.js gives us server-side rendering (SEO), API routes (backend-in-a-box), and the React ecosystem. Tailwind eliminates CSS bikeshedding. Together, they're the fastest path from design to production UI.

Backend/Database: Supabase (PostgreSQL)

Supabase is Firebase done right. PostgreSQL underneath, real-time subscriptions, built-in auth, row-level security, and an instant REST/GraphQL API. For MVPs, it eliminates 60% of backend boilerplate.

Hosting: Vercel

Zero-config deployments, edge functions, preview URLs for every PR. The DX is unmatched. For most SaaS products, the free tier or Pro plan ($20/mo) handles everything through the first 10,000 users.

AI: OpenAI API

When the product needs AI (and increasingly, they do), OpenAI's API is the most reliable option. We've integrated it for diet generation (Nutricionista.ai), document analysis (LeyesEcuador.com), and content automation.

When We Deviate

High-traffic APIs → Node.js + Express + PostgreSQL (direct, no Supabase overhead)
Mobile-first → React Native or native (Swift/Kotlin) depending on requirements
Enterprise → AWS/GCP with Terraform, more infrastructure control
Real-time heavy → Supabase Realtime or dedicated WebSocket server

What We Avoid

Microservices for MVPs — Monolith first. Split later when you have data on what needs to scale.
Kubernetes — For MVPs, it's like hiring a fleet of trucks to deliver a pizza.
Bleeding-edge frameworks — We adopt new tools when they're stable, not when they're trending on Twitter.

The Stack Doesn't Matter (Much)

Here's the uncomfortable truth: the tech stack is maybe 10% of what makes a product succeed. The other 90% is understanding the problem, designing the right solution, and shipping fast enough to learn from real users.

We've seen great products built on "bad" stacks and terrible products built on "perfect" stacks. Pick proven tools, ship fast, iterate with data.

Building a SaaS product? Let's talk about your stack.