HN AI Friendly is a Hacker News front page remix for people who want less AI grumbling, or more of it on purpose. It processes visible story titles and preview comments with an AI judge that scores how needlessly negative they are about AI, AI tools, or building software with AI.
The site offers two main modes. Calm greys out or hides curmudgeonly AI takes, while Doom Only flips the site around and surfaces them instead. It also exposes filter settings for controlling when content is greyed or hidden, and can show AI judge rationales. The filter is meant to target sweeping anti-AI grouchiness rather than thoughtful disagreement, and neutral critique stays visible.
In Doom Only mode, some views keep looking deeper until they find enough matching posts or comments above the chosen threshold. The live front page and day-by-day views in the top strip for the current San Francisco week can search beyond the first batch of stories, while weekly and monthly historical views only filter the fixed daily captures that were already counted. Comment filtering applies to the preview comments fetched for each story; historical captures usually keep the top 3 comment previews per story, and live or recent day scans may look deeper when needed. The charts track how much AI doomer static appears over time across daily, weekly, and monthly slices. The site also explains its baseline years, including 2021 as the normalization year and 2010 as a pre-AlexNet reference.
HN AI Friendly is delivered as a web site. It does not present pricing or licensing information in the available text.
HN AI Friendly is a News & reading project. It helps users avoid negative or repetitive AI-related commentary on Hacker News by filtering content. It is built as a consumer product for Hacker News readers interested in AI topics. HN AI Friendly is free to use. HN AI Friendly is available on the web.
HN AI Friendly first shipped in 2024. Key capabilities include content filtering, customizable thresholds, and historical views.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do