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Omar Sanseviero builds personalized Hacker News feed using LLMs

Omar Sanseviero has developed a personalized Hacker News feed utilizing LLM capabilities. This feed is tailored to his specific research interests, drawing from memory and an LLM-powered wiki to curate content. The system aims to replace traditional bookmarking by employing automations, rules, and proactive agents to dynamically shape the user's news consumption. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Demonstrates how LLMs can be used to create highly customized information filtering tools for individual users.

RANK_REASON The item describes a personalized news feed tool built by an individual researcher, not a broad industry release or significant event.

Read on X — Omar Sanseviero (HF research) →

COVERAGE [1]

  1. X — Omar Sanseviero (HF research) TIER_1 · omarsar0 ·

    Hacker News → LLM Artifact

    Hacker News → LLM Artifact I built the most personalized HN feed. It only tracks topics I do research around based on memory and LLM wiki. No point in storing bookmarks. With a few automations, rules, skills, and proactive agents, you can make the feed whatever you want. http…