Real time market research, born in Hamburg. As Technical Co-Founder I helped build the early platform that turned slow, expensive consumer research into something any team could run in minutes.
The product collapsed a workflow that used to take weeks into an afternoon, and put consumer feedback directly in the hands of the people making decisions.
Appinio launched in Hamburg with a simple idea: consumer feedback had been locked behind agencies, long timelines, and even longer invoices. If a brand could reach a real consumer panel through their phone, with answers coming back in minutes, the entire workflow could collapse from weeks to a single afternoon.
The early platform had three parts: a panel of real consumers, a survey engine simple enough for any team to use, and an analytics layer that let brands watch results stream in live. Each part had to work together under one constraint — speed. From question to answer in minutes, not weeks.
The bet was on accessibility. If a junior product manager and a board-level executive could both run a study without filing a brief, the entire industry would shift toward decisions made on yesterday's data instead of last quarter's.
I chose MongoDB, Express, and Node.js as the foundation. Node's event-driven model was the right call for a platform expecting thousands of concurrent responses — non-blocking I/O kept the write path fast under burst load without requiring a threaded architecture. MongoDB gave us the schema flexibility to evolve the data model as the product changed, without the cost of migrations while we were still figuring out what the product needed to be.
The core design problem was the relationship between four entities: surveys, responses, users, and analytical aggregates. Each had different read and write patterns. Surveys were written rarely and read often. Responses arrived in bursts and needed to roll up in real time. Aggregates had to reflect live state without blocking the response pipeline. Getting that model right early meant the platform could grow — new question types, filters, splits — without touching the underlying schema.
The hardest constraint was burst: tens of thousands of users responding to a single survey within minutes. That pattern breaks naive architectures. The backend was designed around it from day one — efficient write paths, aggregation logic decoupled from the response pipeline, and a structure that kept analytics current without batch processing. Extensibility and performance under load aren't usually friends. The goal was to make them coexist.
Today Appinio is a real-time market research platform used by thousands of brands worldwide. Teams design a survey, ship it to a representative slice of consumers, and watch insights stream in as responses arrive. AI-assisted question generation, intuitive splits and filters, and a global panel sit underneath a clean operator-facing surface.
Appinio has grown into one of Europe's leading consumer insights companies, and the original idea, that anyone should be able to ask the world a question, is still the core of the product.