PoliMetrics turns public political data – mainly what politicians and parties post on social media – into clear and comparable insights.
The data is already public, but scattered. We put it together as a whole. We collect posts and profile information, classify them, group them by party, and measure their audiences. The result is plots and reports showing how political narratives form, which trends emerge, and how public debate shifts over time – so people can draw their own conclusions.
We publish these insights on our channels for anyone who wants to follow politics with numbers instead of gut feeling. This project grew out of curiosity and a love of uncovering what lies behind the data.
But we do not want to stop there. If there is something you would like to know, or an idea you think we could tackle, get in touch and let us build it together.
Marges works in data science at an insurance company. He is fascinated by how clear patterns can be uncovered in complex and initially confusing data. At PoliMetrics, he combines this perspective with his interest in politics, developing analyses and visualizations that make political communication easier to understand.
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Felix completed his master's degree in Data Science at TU Dortmund University. For the past three years, he has worked as a data scientist at a bank, where he develops risk models and automates workflows. In both his professional work and at PoliMetrics, he enjoys analyzing complex relationships, explaining them clearly, and presenting them in an accessible visual form.
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Andrés studied mechanical engineering, worked for several years in analytics and portfolio management, and later completed his master's degree in Data Science at TU Dortmund University. For several years, he has worked as a data scientist at a major fashion company, focusing on time series, forecasting pipelines, and AI assistants that answer questions using a wide variety of data sources. In both his professional work and at PoliMetrics, he enjoys turning messy data into models and visualizations that genuinely support decision-making.
LinkedInOur analysis is based on automated data collection via the platform APIs. The collected data is evaluated using statistical methods and AI-powered text analysis (sentiment, topic classification). All visualizations are updated monthly.
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