<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Audience Attention on blog.pierrehenry.be</title><link>https://blog.pierrehenry.be/tags/audience-attention/</link><description>Recent content in Audience Attention on blog.pierrehenry.be</description><generator>Hugo</generator><language>en-US</language><copyright>Copyright © 2026, Pierre-Henry Soria.</copyright><lastBuildDate>Thu, 08 Jan 2026 09:30:05 +0000</lastBuildDate><atom:link href="https://blog.pierrehenry.be/tags/audience-attention/index.xml" rel="self" type="application/rss+xml"/><item><title>How to Build an AI Audience Tracker Without Docker Headaches</title><link>https://blog.pierrehenry.be/blog/how-to-build-an-ai-audience-tracker-without-docker-headaches/</link><pubDate>Thu, 08 Jan 2026 09:30:05 +0000</pubDate><guid>https://blog.pierrehenry.be/blog/how-to-build-an-ai-audience-tracker-without-docker-headaches/</guid><description>So, I continued working on our audience attention measurement system. If you missed the first part, we ran into a little snag with the API—turns out Postgres wasn’t installed locally. The quick win&amp;hellip;</description></item></channel></rss>