ProjoMania

Development

Web Applications

Custom web applications, internal tools, dashboards, and SaaS MVPs — built on modern stacks and deployed to cloud or on-prem.

Qué hacemos

Web applications — whatever the project actually needs

We build the kind of software that does not come out of a box. Custom internal tools, customer-facing products, SaaS MVPs, dashboards, admin consoles, portals — in whichever stack the project justifies.

Our default stack, and why

  • Next.js or Astro + React — Next for dynamic apps with auth and server-side data; Astro for content-first sites.
  • TypeScript strict — the tax you pay for a year of not getting paged.
  • PostgreSQL + Prisma or Drizzle — boring, reliable, queries you can read.
  • Cloud-native deploys — Vercel, Cloudflare, Fly, or self-hosted on AWS / GCP.
  • Tailwind for styling — fast iteration, no style bloat.

Where we deviate from defaults

We go to Go or Python when the workload is backend-heavy. We pick Vue or Svelte when a team is already committed to them. We self-host when the budget or the compliance story demands it. The stack follows the project, not the other way around.

How we actually run a build

  1. Kickoff — outcomes, constraints, success criteria, and the smallest thing we could ship next.
  2. Sprints (1–2 weeks) — working software every sprint, reviewed with you.
  3. Integration early — the third-party pieces go in as soon as they can, not at the end.
  4. Staging + prod — separate, real-data-shaped, CI-deployed.
  5. Handover — code review, runbook, architecture doc, and optional support plan.

Cronograma típico

Tres tamaños indicativos de engagement

Pequeño

4–8 weeks — small internal tool or SaaS MVP

Mediano

8–16 weeks — multi-feature app with integrations

Grande

16+ weeks — platform-scale build

Cada cotización es a medida. Cómo funciona la tarificación →

FAQ

Preguntas comunes sobre web applications

What stacks do you use? +

React, Next.js, Astro, Vue, and Svelte on the front end. Node.js, Python (FastAPI or Django), Go, and PHP (Laravel) on the back end. PostgreSQL by default; others where they fit.

Do you use AI / ML? +

Where it genuinely pays for itself. We are not selling AI as a brand. We integrate LLM features, embeddings, and classical ML when the product needs it.

Who owns the code? +

You do. Full source, in a repo we hand over.

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