An AI assistant is planned. Until it is genuinely useful we would rather point you at the page that actually answers your question.
Startups operate under a constraint most businesses do not: a fixed runway. Every technical decision either extends or shortens it. Building for scale you do not have wastes months; building carelessly means a rebuild exactly when growth arrives.
The second constraint is uncertainty. The product will change, sometimes fundamentally. Architecture that assumes today's requirements are final becomes an obstacle at the first pivot.
We optimise for change, not for scale. Early-stage products need to be easy to modify, because they will be modified constantly. Clean boundaries and a sound data model matter more than infrastructure that could serve a million users you do not yet have.
We use managed services deliberately. Authentication, payments, email and file storage are solved problems. Building them yourself costs weeks that should go into what makes your product different. Later, when scale or cost justifies it, they can be replaced.
We are direct about technical debt. Some shortcuts are correct at this stage — the risk of over-building is real. What matters is recording which shortcuts were taken and what would trigger revisiting them, so the debt is deliberate rather than accidental.
Workstreams
Deciding what genuinely needs to exist for the next milestone — fundraise, pilot, launch.
Weekly releases so scope conversations happen against working software rather than documents.
Instrumentation for activation and retention, which is what investors and your own decisions depend on.
Architecture and hiring input at the point when bringing engineering in-house makes sense.
Documentation and onboarding for the first engineers you hire, so the transition does not stall the roadmap.
Signals
Outcomes
FAQ
Tell us what you are trying to build or fix. We will come back with scope, approach and an honest view on cost and timeline.