HN Sieve is a curation layer built on top of Hacker News’ Show HN section, where makers post their latest projects. Instead of browsing raw threads, visitors get an AI-processed view of submissions that have been scored and organized into categories.
The core value is filtering and retrieval. Each project receives an AI-generated score and category, and the whole collection is searchable, so users can look for specific types of launches or compare projects by signal rather than chronology. This makes the firehose of Show HN easier to scan.
It is aimed at developers, founders, and investors who follow early-stage product launches, as well as anyone who wants a faster way to find interesting side projects and tools. Readers who already enjoy Hacker News but find Show HN noisy are the most natural audience.
Use it as a discovery aid rather than a definitive ranking: AI scores are a convenience signal, so verify projects directly before acting on them. Pair it with the original HN threads for community feedback and context. Overall, HN Sieve is a practical shortcut for exploring Show HN more efficiently.
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