Ecosystem Engineering

🧭 Why a discipline, not a strategy

Most founders accumulate products. An ecosystem engineer designs the graph between them: which data they share, which specs keep them coherent, which infrastructure keeps them independent of any vendor — including yourself. Each idea might be small alone. The strength is in integration.

⚙️ The operating model

Every part of the ecosystem follows the same pipeline:

1. Observation — something in everyday life or engineering is needlessly fragmented.
2. Opportunity — the fragmentation hides a reusable primitive.
3. Product — ship the primitive as a focused app with its own door.
4. Platform capability — other apps start consuming it.
5. Reusable specification — the capability gets a vocabulary others can implement.
6. Infrastructure — it becomes something the whole ecosystem stands on.
7. Ecosystem — each new layer raises the value of every prior one.

Worked examples: booking (Bookius), queries (DTQL), storage independence (DALgo), specifications themselves (SpecScore).

📐 Principles

• Long-term thinking — a ten-year vision on a five-year execution line, riding the AI acceleration.
• User value and ownership — users adopt what they can leave; ownership creates trust.
• Composability — every feature should be someone else's building block.
• Performance and clarity — fast software and plain language are the same virtue in two media.
• Openness where practical — standards and infrastructure in the open; product edge where it counts.
• Taste — in UX, in naming, in what not to build.

🚪 Is this you too?

If you recognise this way of working — as an investor, engineer, mentor, or fellow founder — the doors are here.