Services

SaaS & Product Engineering

Full-stack SaaS engineering from MVP to production for B2B founders — Laravel, Next.js, Node and Supabase stacks with the architecture decisions that survive real customers.

For B2B SaaS founders between MVP and Series A who need a product partner, not a body shop.

What you get

MVP to production: architecture, build, deploy — with monitoring from day one.
AI-native features: agents, retrieval, orchestration built into the product, engineered with fallbacks.
Rescue work: stabilising products that grew faster than their codebase.

How an engagement works

  1. Scoping call. You describe the bottleneck. I tell you plainly whether a system can remove it, and what it involves.
  2. Written plan. Scope, milestones, safeguards and the metric the system will be judged on. No surprises later.
  3. Production delivery. The system ships in increments against live work, with monitoring and human-approval paths from the first release.

Case study: SocialCTL — AI social media operating system

Questions

What stack do you build on?

Laravel, Next.js, Node and Python on the application side; PostgreSQL, Supabase and MongoDB for data; Docker on AWS, GCP, DigitalOcean or Vercel for infrastructure; OpenAI and Anthropic for AI features.

Do you take over existing codebases?

Yes. Most engagements start with an audit: what breaks, what blocks releases, what the next customer milestone requires. Then a stabilisation plan before any new features.

How do engagements work?

Three steps: a scoping call, a written plan with milestones, then delivery in production increments. You see working software every cycle, not slide decks.

One conversation beats a proposal deck.

Describe the bottleneck. You will get a straight answer on whether a system can remove it. Every message reaches me directly.