Data, ML & AI
in the field.
I build data-driven products and write about turning data into capabilities users actually feel — personalisation, recommendations, insights, predictions, and automation.
// About
If you build software products, you already sit on valuable data. I'll help you turn it into product capabilities that actually move the needle.
This is for software and product engineers who want to ship data-driven features in the systems they already work in. Not abstract ML theory or toy notebooks.
Pipelines, infrastructure, model integration, and the messy product decisions in between. Plus lessons and experiments from the things I'm building myself.
// From the channel
Watch recent episodes
// Writing
Notes from the build
// Projects
What I'm building
In production
Spindrift
Spindrift helps brands and agencies grow organic traffic by turning Google Search Console data into clear, actionable content opportunities. Find the search and AI queries your pages should be answering, optimise content faster with AI, and improve rankings without creating endless new pages or chasing backlinks.
Visit ↗Early alpha
Datapond
Datapond lets you build a private data platform directly on your laptop. Query files, databases, and cloud data in one place, prototype analytics workflows locally, and keep sensitive data under your control without needing heavy infrastructure or sending everything to a third-party platform.
Visit ↗In development
Northstack
An engineering intelligence platform that helps technology leaders understand product health, technical risk, delivery flow, innovation, and adherence to engineering principles across teams and products.
Coming soon
emOS
A personalised operating system for engineering managers, built from practical artefacts, not theory. A ranked set of templates, checklists, and frameworks tailored to your role, your team size, and your biggest current constraint.
Read more ↗