Phase 4 / Search Layer
Search returns normalized transmission metadata and canonical links only. This keeps the frontend clean while the ingestion system remains separate.
Article URL: https://karthinks.com/software/even-more-batteries-included-with-emacs/ Comments URL: https://news.ycombinator.com/item?id=48535886 Points: 65 # Comments: 14
Article URL: https://psychedelics.co.uk/news/a-mushroom-genus-that-gets-people-high-but-not-the Comments URL: https://news.ycombinator.com/item?id=48535215 Points: 52 # Comments: 25
Article URL: https://blog.apnic.net/2025/12/08/21-years-and-counting-of-eight-fallacies-of-distributed-computing/ Comments URL: https://news.ycombinator.com/item?id=48534628 Points: 47 # Comments: 6
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https://bitsavers.trailing-edge.com/pdf/mit/ai/AIM-628_chaos... Comments URL: https://news.ycombinator.com/item?id=48531449 Points: 73 # Comments: 8
Article URL: https://www.orangecrumbs.com/ Comments URL: https://news.ycombinator.com/item?id=48530382 Points: 80 # Comments: 21
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What are you working on? Any new ideas that you're thinking about? Comments URL: https://news.ycombinator.com/item?id=48528779 Points: 184 # Comments: 699
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TLDR: I had 2,207 GoPro videos, and I need to rewatch them to find interesting moments from my cycling journey. I built a project to index them locally on my M1 Max using open-source ML models, search for those moments, and send the best clips straight to my DaVinci Resolve timeline. I indexed 628 videos (668.68 GB, 15h 13m 18s of footage duration), more details in the metrics table in the last section of this article.Full article: https://iliashaddad.com/blog/i-indexed-669-gb-of-my-gopro-videos-using-my-m1-max-computer Comments URL: https://news.ycombinator.com/item?id=48528029 Points: 324 # Comments: 80
Article URL: https://www.cs.yale.edu/homes/perlis-alan/quotes.html Comments URL: https://news.ycombinator.com/item?id=48527820 Points: 105 # Comments: 52