Handcrafted analytical tools for people who value clarity over complexity. Each one is purpose-built, independently useful, and relentlessly focused on solving one real problem well.
Each tool starts from a real frustration, stays small by design, and ships fast. No bloated dashboards, no feature creep.
Paste any micro-SaaS idea and get instant market feedback — competitor analysis, keyword difficulty, estimated demand, and a viability score. Data-driven validation before you write a line of code.
Try it →A sports substitution manager that simplifies game-day rotations. Track player minutes, manage line-ups, and keep every player engaged with fair, data-driven substitution scheduling.
Launching soonI'm Matthew Robinson, a data analytics professional based in Auckland, New Zealand. I've spent years working with data — cleaning it, modelling it, and trying to get it to tell the truth.
Along the way I noticed that most analytical tools are either spreadsheets with too many rows or enterprise platforms with too many features. There's very little in the middle that's genuinely useful for a single decision.
Parsonbird Analytics is my attempt to fill that gap — one small tool, one sharp problem, one release at a time.
Every tool gets built and shipped in the open. Here's what's on the workbench right now.
Building out player-minute tracking, auto-rotation scheduling, and game-day dashboard. Early beta targeting local Auckland clubs.
Adding historical trend analysis, API access, and deeper competitive intelligence. Moving from MVP to a real research tool.
Upload raw survey CSVs and get narrative summaries, segment breakdowns, and actionable recommendations — no pivot table required.
Drop in your user activity log and get retention curves, churn segments, and LTV estimates without writing a single SQL query.