Show HN: Apps posted here classified by LLM (github.com)

A new proof-of-concept application has been developed to categorize apps shared on Hacker News, addressing the challenge of navigating an overwhelming array of submissions. Traditionally, Hacker News has avoided categorization due to concerns about siloing information, but the developer argues that app categorization would enhance usability and discovery. The application utilizes Cursor and Gemini 3 Flash for its initial setup, transitioning to a dynamic classification using the GPT-4o-mini LLM, which groups apps into approximately ten high-level categories based on extracted metadata. This innovative tool enhances user experience by allowing developers and users to browse apps by specific interests, such as "Web Development" or "AI Tools." The application implements a comprehensive pipeline that includes scraping the latest posts from Hacker News, caching external links, extracting metadata, and providing rich previews of each app. With a solid track record of processing 909 unique apps from recent submissions—over 97% linked successfully—it showcases the potential of LLMs for content classification within tech communities. This development not only simplifies browsing but also highlights a significant shift towards intelligent categorization in the rapidly expanding field of AI and machine learning.