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Show HN: I scraped 25M Shopify products to build a search engine
Hi HN! I built Agora as a side-project leading up to the holiday season. I wanted to find an easier way to find Christmas gifts, without needing to go store-by-store.<p>My wife asked me for a a pair of red shoes for Christmas. I quickly typed it into Google and found a combination of ads from large retailers and links to a 1948 movie called 'Red Shoes'. I decided to build Agora to solve my own problem (and stay happily married). The product is a search engine that automatically crawls thousands of Shopify stores and makes them easily accessible with a search interface. There's a few additional features to enhance the buying experience including saving products, filters, reviews, and popular products.<p>I've started with exclusively Shopify stores and plan to expand the crawler to other e-commerce platforms like BigCommerce, WooCommerce, Wix, etc. The technical challenge I've found is keeping the search speed and performance strong as the data set becomes larger. There's about 25 million products on Agora right now. I'll ramp this up carefully to make sure we don't compromise the search speed and user experience.<p>I'd love any feedback!
The AI Trust Crisis
Maybe getting rid of your QA team was bad
Mitchell reflects as he departs HashiCorp
Mitchell reflects as he departs HashiCorp
Australia to ban engineered stone
Trains were designed to break down after third-party repairs, hackers find
Voyager 1 stops communicating with Earth
Voyager 1 stops communicating with Earth
What We Watched: A Netflix engagement report
Adfree Cities
Polish Hackers that repaired DRM trains threatened by train company
You Don't Batch Cook When You're Suicidal (2020)
Tesla FSD Timeline
SMERF: Streamable Memory Efficient Radiance Fields
We built SMERF, a new way for exploring NeRFs in real-time in your web browser. Try it out yourself!<p>Over the last few months, my collaborators and I have put together a new, real-time method that makes NeRF models accessible from smartphones, laptops, and low-power desktops, and we think we’ve done a pretty stellar job! SMERF, as we like to call it, distills a large, high quality NeRF into a real-time, streaming-ready representation that’s easily deployed to devices as small as a smartphone via the web browser.<p>On top of that, our models look great! Compared to other real-time methods, SMERF has higher accuracy than ever before. On large multi-room scenes, SMERF renders are nearly indistinguishable from state-of-the-art offline models like Zip-NeRF and a solid leap ahead of other approaches.<p>The best part: you can try it out yourself! Check out our project website for demos and more.<p>If you have any questions or feedback, don’t hesitate to reach out by email (smerf@google.com) or Twitter (@duck).
SMERF: Streamable Memory Efficient Radiance Fields
We built SMERF, a new way for exploring NeRFs in real-time in your web browser. Try it out yourself!<p>Over the last few months, my collaborators and I have put together a new, real-time method that makes NeRF models accessible from smartphones, laptops, and low-power desktops, and we think we’ve done a pretty stellar job! SMERF, as we like to call it, distills a large, high quality NeRF into a real-time, streaming-ready representation that’s easily deployed to devices as small as a smartphone via the web browser.<p>On top of that, our models look great! Compared to other real-time methods, SMERF has higher accuracy than ever before. On large multi-room scenes, SMERF renders are nearly indistinguishable from state-of-the-art offline models like Zip-NeRF and a solid leap ahead of other approaches.<p>The best part: you can try it out yourself! Check out our project website for demos and more.<p>If you have any questions or feedback, don’t hesitate to reach out by email (smerf@google.com) or Twitter (@duck).
Modern iOS Navigation Patterns
Google Promises Unlimited Storage; Cancels; Tells Journalist Life's Work Deleted
Show HN: Open-source macOS AI copilot using vision and voice
Heeey! I built a macOS copilot that has been useful to me, so I open sourced it in case others would find it useful too.<p>It's pretty simple:<p>- Use a keyboard shortcut to take a screenshot of your active macOS window and start recording the microphone.<p>- Speak your question, then press the keyboard shortcut again to send your question + screenshot off to OpenAI Vision<p>- The Vision response is presented in-context/overlayed over the active window, and spoken to you as audio.<p>- The app keeps running in the background, only taking a screenshot/listening when activated by keyboard shortcut.<p>It's built with NodeJS/Electron, and uses OpenAI Whisper, Vision and TTS APIs under the hood (BYO API key).<p>There's a simple demo and a longer walk-through in the GH readme <a href="https://github.com/elfvingralf/macOSpilot-ai-assistant">https://github.com/elfvingralf/macOSpilot-ai-assistant</a>, and I also posted a different demo on Twitter: <a href="https://twitter.com/ralfelfving/status/1732044723630805212" rel="nofollow noreferrer">https://twitter.com/ralfelfving/status/1732044723630805212</a>
Show HN: Open-source macOS AI copilot using vision and voice
Heeey! I built a macOS copilot that has been useful to me, so I open sourced it in case others would find it useful too.<p>It's pretty simple:<p>- Use a keyboard shortcut to take a screenshot of your active macOS window and start recording the microphone.<p>- Speak your question, then press the keyboard shortcut again to send your question + screenshot off to OpenAI Vision<p>- The Vision response is presented in-context/overlayed over the active window, and spoken to you as audio.<p>- The app keeps running in the background, only taking a screenshot/listening when activated by keyboard shortcut.<p>It's built with NodeJS/Electron, and uses OpenAI Whisper, Vision and TTS APIs under the hood (BYO API key).<p>There's a simple demo and a longer walk-through in the GH readme <a href="https://github.com/elfvingralf/macOSpilot-ai-assistant">https://github.com/elfvingralf/macOSpilot-ai-assistant</a>, and I also posted a different demo on Twitter: <a href="https://twitter.com/ralfelfving/status/1732044723630805212" rel="nofollow noreferrer">https://twitter.com/ralfelfving/status/1732044723630805212</a>