build log · 14 live · updated Apr 26, 2026
A portfolio of the small data-driven systems I've built and kept running.
Each project on this site started as a problem I needed to solve — research a niche, analyse a market, apply for a job in a different country — and turned into a tool that still runs today. This is the log of what they are, why they exist, and what I learned building them.
featured
Six projects worth a closer look
crCryptoScope— One dashboard for crypto market intelligence
A unified analysis portal for cryptocurrency markets — real-time prices, technical indicators, sentiment, whale tracking, and a Binance-backed trading terminal. Built so I stopped tab-hopping between five different sites to make one decision.
stStock Analysis Portal— Professional-grade equity analysis for retail investors
A full-stack platform for US equities (NYSE/NASDAQ) that combines real-time quotes, technical indicators, fundamentals, and a stock screener — pulling from Polygon.io with Redis caching to keep responses fast.
nlNL Freelance Market— Dutch IT freelance market intelligence
Rate intelligence dashboard, Wet DBA-compliant service packages, and an automated opportunity discovery pipeline targeting the Dutch SME (MKB) market for IT freelancers.
etEtsy POD Analyzer— Print-on-demand market intelligence dashboard
A curated dashboard for Etsy print-on-demand sellers covering ranked product types, niche scoring, SEO keyword pools, seasonal calendars, pricing bands, production-cost benchmarks, and a 30-day launch plan.
etEtsy POD AI Analyzer— AI-driven POD opportunity discovery across regions
A 5-signal scoring engine that scans keywords across six Etsy regions and pairs them with self-hosted Ollama models to generate listing titles, tags, pricing strategies, and design briefs.
ebeBay Market Analyzer— Market intelligence for eBay resellers
Aggregates eBay sold listings to surface profitable categories, price trends, and sell-through rates. Layered with a Claude-powered agent that turns raw data into reseller-friendly briefings.
how each project happened
The same four-step shape, every time.
Friction
Notice a manual, repetitive, or data-poor process I keep hitting.
Prototype
Build the smallest internal tool that solves my own version of it.
Run it
Use it daily, find the edges, automate the boring parts.
Open it up
Generalise enough that anyone with the same friction can use it.
about this site
This is a portfolio, not a pitch.
I build small data systems for myself and keep them running in public. There is no sales funnel here — just the projects, what each one does, and what I learned along the way. If something looks interesting, the project page tells the full story; the live link takes you straight to the running app.