01
Shape the product
Find the useful version of an idea, make the trade-offs clear, and turn user feedback into focused product decisions.
Product engineer & founder
Making sense of the world with useful software.
From timelines to feedback systems, I turn complex information into useful tools that help people organise, understand, and decide.
A little about me
Good products need good judgement.
I’m a product engineer and SaaS founder building modern web products across the full stack, with a focus on TypeScript, React, React Router in Framework Mode (SSR), Next.js, Node.js and PostgreSQL.
My work covers product architecture, APIs, responsive interfaces, payments, analytics, infrastructure, Docker and CI/CD, with increasing use of AI and LLM-based workflows throughout product development.
My background combines product strategy, UX, user research, SEO and technical leadership with deep experience in Ruby and Ruby on Rails.
I bring product judgement and hands-on engineering together to turn ambiguous ideas into useful, maintainable products, taking them from prototype through to production and long term iteration.
02
Build the whole thing
Design and ship robust full-stack applications across UX, modern web technologies, APIs, data and cloud infrastructure.
03
Make it last
Bring calm technical leadership to delivery, modernisation and long-term iteration, with an owner’s eye on quality and momentum.
Selected work
Work in practice.
01
Timetoast
Timetoast is a timeline maker and workspace for turning projects, roadmaps, lessons, and stories into clear, shareable views of what happened and what happens next.
Built for people who need to organise dates, milestones, and context without losing the bigger picture. Timetoast combines structured event data, custom fields, lanes, multiple views, and sharing controls so teams, teachers, researchers, and storytellers can plan, explain, and present complex timelines.
02
Signaldeck
Signaldeck helps teams collect focused, contextual feedback from websites and in-product moments while the context is still fresh.
Teams can ask targeted text or rating questions at pricing, signup, onboarding, feature, upgrade, or churn moments. Signaldeck keeps feedback focused, then uses AI-assisted analysis to surface themes, risks, and next actions. Its MCP server gives compatible AI tools scoped access to current customer evidence.