I’m Kyle Monk, a technology, insight and product delivery director building data platforms, AI-driven insight tools, and integrated SaaS systems. My work tends to blend engineering, product, and market intelligence, turning complex data into scalable products, or building intelligence principles into 'dumb products, predominantly for enterprise and non-profit organisations.
Through Good Analysis, I design, build, and deploy modern software and data infrastructure. I do so mostly with Python, SQL, Next.js, and cloud-native workflows.
- Institute of Commerce — a full-stack membership and intelligence platform covering learning, CPD, careers, news, and supplier tools.
- Good Analysis pipelines — Market intelligence using modular data ingestion, content processing, and analytics systems powering dashboards and automated insight products.
- AI-enabled insight platform — Combining vector search, Python automation, and cloud deployment to give a client real-time intelligence.
- Languages: TypeScript, Python, R, SQL
- Frameworks: Next.js, React, Supabase, Node
- Infrastructure: Vercel, Railway, AWS, Postgres
- Focus areas: data engineering, system integration, AI-assisted analysis, membership systems, SaaS and BI product delivery
I learned to code later in life, have moved from research through to strategy and now execution.
I use Linear to organise my life and work.
I like building cool things.
Clean architecture, clear data flows, reliable automation, and products that scale.
I have worn many hats, and am often hired as the bridge between commercial and technical teams.