Launching soon: strategic finance toolkit for payments and fintech

Over the past several months I've been building a portfolio of strategic finance tools aimed at founders, investors, and finance operators working in payments and fintech. The first set is launching soon, with more to follow. The portfolio combines Excel models and web applications. Different formats for different contexts, but a consistent point of view running through all of them.

About the tools

The topics sit at a specific intersection: external insight applied to internal financial reality. Pricing decisions don't happen in a vacuum. They are shaped by competitive dynamics, customer behaviour, and structural unit economics all at once. These tools are built for that intersection.

The Excel models are built cleanly: strict separation of inputs, calculations, and outputs, with enough supporting documentation that someone can pick one up without a handover call.

The web apps are more intuitive by design with sliders, clear input fields, and visual charts that update in real time. Some are single-screen; others walk through a diagnostic in sequence across multiple screens. Some integrate with AI for interpreted insights; others are purely deterministic. They are built in Next.js, guaranteeing fast load times, clean rendering, and an interface that behaves like a modern web product. The codebase is clean and straightforward, so easy to reskin and rebrand for your own context, which I can help with too.

I am happy to share these tools. The Excel models are immediately downloadable. The web apps are open to fork and run independently, or I can walk you through how to get set up.

The problem they respond to and the deeper idea

The problem most people in fintech already know: Excel sprawl. Models built in a hurry for a specific purpose, never quite finished, never properly documented. When the person who built them leaves, the understanding goes with them, and what remains is a file nobody fully trusts. This isn't a new problem and I won't pretend to be the first to notice it. But having a cleaner alternative readily available, one that's already built, already tested, and ready to use, removes the friction that usually leads people back to starting from scratch.

The possibility of separating strategic finance work into two distinct layers: intelligence and judgement. The intelligence layer is the structural work, building the right model, running the right scenarios, surfacing the right numbers. That layer can be standardised and increasingly accelerated with AI. I've used AI heavily in building these tools and it's made a real difference to how quickly something rigorous can be produced. The judgement layer, what does this mean, what do we do about it, what do we defend in a board meeting, stays human. These tools are an attempt to draw that line clearly and invest properly on both sides of it.

If you want to build something similar

If any of this resonates and you're thinking about building something similar, whether that's a single diagnostic model or a more sophisticated tool, I'm happy to talk through how to approach it. I've learned a lot about what works in building these, and I'm glad to help others architect something that actually gets used.