Pol.is – a new commenting system powered by machine learning and D3
Pol.is – a new commenting system powered by machine learning and D3 launched on August 26, 2014 with 126 votes, #177 of 2,208 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 12 years on.
In plain words
Pol.is is a commenting system that uses machine learning and D3 visualization to organize online discussions. It allows users to comment on topics while an algorithm groups similar viewpoints together and maps out areas of consensus and disagreement. The system is designed for anyone hosting public conversations who wants to understand patterns in feedback rather than scroll through individual comments. It works by having participants rate each other's comments, which helps the machine learning model identify clusters of opinion.
written from the facts on this page · September 2026
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Society Speaks2024 · societyspeaks.io · ▲15Hi HN, I’ve been quietly building an experiment called Society Speaks to explore a question that’s bothered me for a long time: Can we measure public opinion without flattening it into polls, comments, or outrage? Instead of comments or demographics, the system uses: • clear statements • simple voting (agree / disagree / unsure) • optional short explanations People aren’t grouped by who they say they are, but by how they actually respond. Using ML techniques inspired by Pol.is, this reveals natural opinion clusters, areas of genuine consensus, ideas that bridge different groups,…
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