Digital product builder shipping useful, polished web products from Blackpool, UK.
I build small, practical products that make information easier to understand, decisions easier to make, and workflows easier to move through. My work sits between frontend development, product thinking, content systems, AI-assisted workflows, and fast public deployment.
- Decision tools that help people compare options clearly.
- Civic and public-interest dashboards that turn scattered data into plain-English insight.
- AI-assisted research and critique systems that expose blind spots and summarise evidence.
- Commercial landing pages and affiliate guides with strong positioning and readable structure.
- Mobile and browser-extension prototypes with real product safety, privacy, and launch constraints.
- Evidence-led explainers that answer contentious claims with sources rather than slogans.
My bias is simple: make it useful, make it readable, get it live, then improve it based on what the product actually needs.
A dignified mobility-aid buying guide for people who want practical support at home without being spoken to like they are helpless. It combines product guidance, safety-aware buying checklists, suitability notes, and temporary retailer links while the domain and affiliate setup are being prepared.
Focus: affiliate content, accessibility, SEO, trust, independence-first positioning.
A source-led Moon landing evidence library that answers common Apollo denial claims using primary mission records, lunar samples, landing-site imagery, laser retroreflectors, independent tracking history, and plain-English physics.
Focus: evidence-led content, source hierarchy, SEO, accessibility, scientific communication, claim-by-claim explanation.
An exoplanet habitability and SETI-targeting dashboard. Vigil ranks confirmed exoplanets using habitability scoring, evidence weighting, data-confidence checks, and physical guardrails for obvious false positives.
Focus: Python data pipelines, scoring models, static generation, Astro frontend, tests, scientific explanation.
A local-first browser extension concept for scam warnings aimed at older or vulnerable users and the family members who help protect them. It is deliberately practical: no backend, no telemetry, no AI miracle claims, and no guaranteed-protection language.
Focus: browser extensions, privacy, scam-awareness UX, safety wording, store-readiness documentation.
A cloneable civic intelligence dashboard for UK towns. The default instance is built for Blackpool and combines public-source signals such as Police.uk patterns, Open-Meteo context, and Street Manager-style roadwork data into a resident-friendly view.
Focus: civic tech, FastAPI, static frontend, public data, responsible disclaimers, cloneable town configuration.
A public-health dashboard for MMR vaccination coverage in England, highlighting herd-immunity gaps and local outbreak vulnerability in a readable civic style.
Focus: public-health data, searchable interfaces, risk categories, charting, data-pipeline restoration.
A research-critique platform where specialised AI reviewer personas examine papers, challenge claims, and separate headline conclusions from the underlying evidence.
Focus: AI-assisted critique, research UX, content structure, static SEO, crawlable paper pages.
An Expo / React Native friend-discovery app where users create 18+ profiles, browse, send requests, and reveal Snapchat or social handles only after both sides mutually match.
Focus: mobile apps, Expo, Supabase, moderation, account deletion, legal readiness, app-store preparation.
A beginner-friendly Python utility package built around useful patterns such as max(items, key=rule), ranking, grouping, flattening, safe nested access, duplicate detection, and small local maintenance agents.
A private Markdown-first context vault designed for local agents, future RAG workflows, project planning, and eventually cleaned training examples.
- Frontend: HTML, CSS, JavaScript, TypeScript, React, Vite, Astro, responsive interfaces.
- Product: positioning, user journeys, information hierarchy, trust-building copy, scope control.
- Data interfaces: dashboards, filters, searchable records, charts, civic/public-interest data presentation.
- Content systems: evidence libraries, buying guides, claim pages, source ladders, SEO-aware structure.
- AI workflows: multi-agent concepts, research critique, local context systems, prompt-driven development.
- Launch thinking: Netlify, Render, GitHub, Expo, EAS, store-readiness, privacy and safety documentation.
I am narrowing my focus around projects that have a clear user, a real problem, and a path to either public value or monetisation.
Current priority areas:
- Useful affiliate/content products that help people make better buying decisions.
- Mobile and extension-based safety products with careful privacy and moderation design.
- Civic, science, and public-interest dashboards that make complex information more readable.
- Evidence-led information sites that turn contentious or complex topics into source-backed explanations.
- AI-assisted tools that support research, critique, organisation, and decision-making.
I am not interested in building throwaway demos for the sake of it. The aim is to ship products that are clear enough to use, polished enough to trust, and structured enough to grow.
- Start with the smallest useful version.
- Make the interface readable before making it clever.
- Avoid fake claims, fake stats, fake stores, and fake authority.
- Use AI to accelerate structure, iteration, testing, and content depth.
- Keep projects live, documented, and easy to explain.
- Cull weak ideas instead of endlessly polishing everything.
Open to product build-outs, portfolio sites, internal workflow tools, research presentation platforms, civic/public-interest dashboards, and practical AI-assisted systems.