Show HN: HN Sieve – every Show HN scored and summarized by AI (hnsieve.com)

HN Sieve is an innovative AI tool that automatically discovers, analyzes, and scores the Show HN projects featured on Hacker News. By polling the Hacker News API every two minutes, it retrieves project details from various sources and evaluates them using a two-step LLM (Language Model) process. Each project is scored on a scale of 0-10 across four key dimensions: Innovation, Technical Quality, Documentation, and Utility. This AI-driven system not only categorizes projects for easy access but also enables users to conduct semantic searches, enhancing the discoverability of new ideas in tech. The significance of HN Sieve lies in its ability to streamline the way the AI/ML community engages with the plethora of projects on Hacker News. By providing an AI-curated summary and insights on each submission, users can quickly identify high-quality projects that suit their interests. Features like personalized project collections, email digests for top new projects, and detailed scoring breakdowns make it a powerful tool for developers and tech enthusiasts alike, fostering a more informed and collaborative environment within the rapidly evolving landscape of AI and machine learning innovation.