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Article URL: https://stargazersmap.com/ Comments URL: https://news.ycombinator.com/item?id=26452788 Points: 3 # Comments: 0 from Hacker News: Front Page https://ift.tt/2BI5BXo via

Article URL: https://www.bbc.com/news/business-56330378 Comments URL: https://news.ycombinator.com/item?id=26452592 Points: 4 # Comments: 0 from Hacker News: Front Page https://ift.tt/3cllLp6 via

Article URL: https://shibumi.dev/posts/wayland-in-2021/ Comments URL: https://news.ycombinator.com/item?id=26451960 Points: 17 # Comments: 3 from Hacker News: Front Page https://ift.tt/3bI8R5n via

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Article URL: https://matthewearl.github.io/2021/03/06/mars2020-reproject/ Comments URL: https://news.ycombinator.com/item?id=26452504 Points: 28 # Comments: 2 from Hacker News: Front Page https://ift.tt/2OsjHnq via

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Article URL: https://www.ritchievink.com/blog/2021/02/28/i-wrote-one-of-the-fastest-dataframe-libraries/ Comments URL: https://news.ycombinator.com/item?id=26451894 Points: 47 # Comments: 3 from Hacker News: Front Page https://ift.tt/2OLwG3n via

Article URL: https://git.minix3.org/index.cgi?p=minix.git;a=summary Comments URL: https://news.ycombinator.com/item?id=26451540 Points: 53 # Comments: 16 from Hacker News: Front Page https://ift.tt/3qP6nGF via

Article URL: https://www.axios.com/tesla-full-self-driving-cars-75cd27c5-ebfb-4c96-8e93-d6deed332895.html Comments URL: https://news.ycombinator.com/item?id=26451433 Points: 29 # Comments: 27 from Hacker News: Front Page https://ift.tt/3lfMV4X via

Article URL: https://github.com/GorvGoyl/Clone-Wars Comments URL: https://news.ycombinator.com/item?id=26451345 Points: 10 # Comments: 1 from Hacker News: Front Page https://ift.tt/3budY9u via

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Article URL: https://lore.kernel.org/lkml/20210313075747.3781593-1-yuzhao@google.com/ Comments URL: https://news.ycombinator.com/item?id=26451220 Points: 4 # Comments: 0 from Hacker News: Front Page https://ift.tt/38BWNAU via

Hey HN! I’m Kathy, cofounder and CTO of Queenly ( https://queenly.com/ ). We created a marketplace and search engine for formal dresses (think wedding, prom, quinceanera, etc). Our search and recommendations system focuses on showing the buyer these products at the level of precision they are looking for, in terms of body shape, color, style, height, skin color and fabric, trained on the text and visual signals from our user-generated content. It’s always been a tricky process to find the perfect dress. The women’s formal wear industry has been decentralized and offline for decades, fragmented across mom-and-pop boutique shops, with sparse inventory available online and within department stores. In other words, finding the perfect wedding gown or prom dress meant driving for hours to different stores hoping these stores carry your size or the style you want. This is especially frustrating when that special occasion you are shopping for means so much to you. Similarly, it’s been tough

Article URL: https://github.com/systemd/systemd/blob/main/NEWS Comments URL: https://news.ycombinator.com/item?id=26450960 Points: 13 # Comments: 26 from Hacker News: Front Page https://ift.tt/3uphCZE via