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Life & fun · August 17, 2026

Classifier and browser extension to detect rule violating HN comments

I love HN, but lately I have been sick of reading the same dismissive criticisms over and over again. Along with political arguments that have been litigated to death, people's issues with smooth scrolling on blogs, etc. Many of these comments do not get flagged for whatever reason. So I made a service to automatically classify whether comments violate (a modified form of) the HN guidelines automatically. In addition there's a Chrome extension to collapse these comments (if they violate your score thresholds) so you don't have to read them too. You can also just watch guideline violating…

In plain words

This tool uses a machine learning classifier to detect Hacker News comments that violate community guidelines, such as dismissive criticism or repetitive arguments. It provides a live feed showing flagged comments with violation scores and offers a Chrome extension to automatically collapse rule-violating comments while browsing. Users can adjust confidence thresholds to customize which comments they want filtered from their feed.

written from the facts on this page · September 2026

From the sources

Live feed of Hacker News comments scored by a classifier built on a fine-tuned embedding model for guideline violations.

In the maker’s words, at launch

I love HN, but lately I have been sick of reading the same dismissive criticisms over and over again. Along with political arguments that have been litigated to death, people's issues with smooth scrolling on blogs, etc. Many of these comments do not get flagged for whatever reason. So I made a service to automatically classify whether comments violate (a modified form of) the HN guidelines automatically. In addition there's a Chrome extension to collapse these comments (if they violate your score thresholds) so you don't have to read them too. You can also just watch guideline violating comments as they are posted on the home page. Here's more info on how it works: https://classify.stylometry.net/how-it-works

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