The best Hacker News stories from Show from the past day
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Show HN: Conway's Game of Life in TypeScript's type system
TypeScript playground: <a href="https://www.typescriptlang.org/play?#code/KYDwDg9gTgLgBDAnmYcCiBHArgQwDYDOAPABoA0cAmgHxwC8AUHHABREAq1LAlPbe3FAxgAOwAmBOCTgB+OAEY4ALjgAmXkNESmrDl151+gkMPGTKshcrW85MKFlQqAZvgLAA3AwZIUcAMLAeHj0cADkIGFwAD7hAHRhPsioAEIQOFBioYHBANoAugXevqgAavgAlmIAkuKgRACCUFDGphJwWCIA1iIQAO4iBbSMzGggAMZ4WGLARF3AiBDOcE1QFGOT07Pzi8urFAAGACQA3iJYALYARsBQAL4H1LSaZnDHJxUizrdwAHKtWkk52utweOjkvx0KhEwAAbrdvAB6RFwAAiEGABBEYXgAAscOI8KgYQBzHAwCrwuDQOAzcYVC74ODjHDuAgMZFwaowMKSAm9RCfEkICBwfGE1AwXHEuE-FnuCgEUXVMIXDoEIVwAC0ilZcBwcHcIgpMJCsPwjjgnwIwhwYiSfgAylgrvIiP8Xu1gTc1gEAa8AAwFUJDeg6eyWz2STC4QjuigB2ixGNueNwb23Wjg7XyKF-f3tXJxYv+BOFMJEkQkqVhfI6Zhyfy5Cuiau42v16zO11poslsvUYrJFZiMRuj0mQFwAAKEAIBHKU0xFFn88XjkkUfTlx9FH8BckQfyIfywx0KbjvwoGagz0nrwjwGzOrzE7akibLarNbrzAbcD7OJSzgANy0rNtawPGc5wXC1MU7f9AOA0Dm3An8EOsHVmE5MAoFlY0rTqEBqSweAljgK4IE6bQ-2sBpR3HFcYPXZcAOLICByHPxqgIAAZSlZjSDIxEdGByVQLchMyChpC3G8KAsOSd0zMNmFk+92n8CA8FqGYQAAeWcIgpJEsThEHf9FI0yQACV+l00BDOM9JMlE8SLL-OQTLc4RckoQoSGPLcIkSWj-0fDCXDcJ9aKiwgYusVx4q41AtM6GB2AcWZVigglEAKPcoKPE8z2YHKt1yT5vhaXiKHYqqfhs39LF4qCItoxsqONTLHCIGyKCQzjYoCLqMqyvq9w8lRPzQ9s6wdVKgjwHzBJc0zxKgkyZKgrSdKIpzvLM4BqAUqC7L6ByDKMw73NKkb0p62Zck7Hj+PhZzhJWihuzdEgTrgH6iBoE6Xr4gSPtco6ZO+l03WBshQbe1bPqhkcx1IPdtMug61pWp4YZ7eHEfBm7hAoej0fIEa9r0nGUduhSQdo16Sdx1GKd+zGacc662YZtG4Yoc7sd5+nzPx4n3tJ4BoYFoGhfs-bRch26mb-Fmpb5smAdh0h-o5+W4GFpWIfW8W1eYDXkZV7XAb+xmdFPFL0FhbT4RyPBTZWza1u2rddpFr2jv+qz3yNxXaeVs3jru6W-ICoLrPiULLA9lag-E2WaCggBmTs5BCzsVDCBI8zj-zckCqDC46gIlvT6Ws7vMPVBiOA87Cywa7C4vS+GmF4SgZ20FdvB4XOogdH0qAKhJaWfeEhHmFDqdjcjohp9n6W1f8dSw+KugAPyJeAiwZpzp2pbg0PgqGGGOAdF31DWx-HasZNze56147sxHt3gAnhhT+jcMKUBPrRJCVNQLgL-EhM+UBzrrFHu7JaG8Z5fzFjLAIJBn7fjmozZqzApqn3Pv0YeyDZhT3QfPSSvtH7wJoUnEyJ4T7+BXoGa+R8Eb30fpQXBEFE5hzXjzNBW9v4eTkH-MesxgHfwGuxfwDC5Eu3-hPWRmC9x8K-AI6gx82IljASBJ2zBppKMweQ-+vwM7CAXtJfMSkQS+n3FuA+R87ozRfnNKCkJ-zSzzFI+EViAnW2jv9K8+iOJGMHAtcOF0TaMLDiZe+i4qiXWsT-Eo1NA4JKnEk0IKSahEXSbkG8TsOQojoJUqp1Sam1LqdU8p9A6lwBSGgAA4tUf47A0COnYJ0tpTS6mNPqSM0ZNSkQonYJiE0woACqFI8AVApPBGJAApCAnwJ4X39lfPRjooI2hnlWUIYQwh3W2UnSqXwfitR2cEOqxYGotBspfPI+RmpyHWZs-oE03inEdHcU4vEHjEMdM7acRyYAmXSbYsQFB+IwkdMAMABz7CakPmEAAOtib6qKjnCgxWc0IOgcmvCudVEhCD+ivLwAVOA9VrktF+EIc6m4mFrQ+QDauKd-wQs+FCta7oWX9AIPCz4wAkVgAoF8kQE9FGkL6E8IuM5IXQuZSYVlYrEXIsOP8wFJwEUSuRfqmVcr4HnWoCCvMYKYmiXxewCA0L9lbkOUKPcZjMiwpYZSi5YcPacNDCMLlW53hPLgMC04YabJgn-LcpOWLsT5x9f0fhr8XEYTkHaoUDroX9UpVtNxkUAZoqrDmwVea4HNALfKqlfQ9FDGVXGv1S0M3FvtY68t7qq2+wiTWxB4bjE9zbdmjtwlfk1urea-oxCJ1rQmXAKZNoAisngpyAAEhAQe1It1SklMOEQOALiYhFIaYAkppQkRgGAUi87cQwCvQQJQyJxgQBEH0HAiBFnfDiC+i4iI+gVC6BUREKRFndARJyactwKgQCyKoGJoHPjzBaIfLNpbR2ZCIAcBg7EGAgHwzh4sDBHjgsQ+BqAihD58uNNCsjyHByZOnHR24rcqOqsFcE4yYH6MMeHEx7jtwc6hGowKsdwSrHMd9KoJVjHJMABZhPsbExQiTAnfQ5yVY0u9D6n2IhfW+j9X7gA-ogH+gDQHERtLnCgKAAB9EkiyZh2ZJJ0RpUGZ6wfbgGGJVmCA2baY524bTOihDQySMtY7sPsWizF2LcX4sJaI4l5L0WQApdi4R9L8W0tpay7h9L+HYuFeS8VmLmWEu5biJVqr1Xsu1aS6VmLtXKuNbyw1+rxYWs1dS1VtrSXEvNbix15L5XsvsWG31-rJWJuTam7N+bRGSMxOnMFkQlGVX8uhb5-zgWoCrcHJyRjq3WMbZoxxlTRBttBd26tig8glWHb46toTbHNvncsZd6z12qhBc6BQaTB2URHc6Ap17Z3lMfau3tm7f324PaB09zoABWRTb2IfSKsVDgLP29uw7k-DhAiORAADZUfg8w+Jz7fnvtOdu3AJHBPgciAAOxk9ExTi7WOYciAoMTxnROAAcbPoWU65zjunzP+d+BW50AAnML97GOqc7fF7DgXUvUAy7WwGBX6PAnK5p79nncBZca5nKt+Q62RMi85196HqvjfyETIDwn0uLcnet4r-XYvaew8t2brX8gXunfZ2IIgou7fY9947gHjSmfyFByHm3kPI-c7uxpl38eUdg9D+H231P7fR7u-jzPRP5Ck5z8npXPujd3YZ6Xt3nR5Cs8r174AmPU8O7u3zhvmuLdC9b3r9vBvC+14UJL3v5um-y8HxzlPBeo9j-kOryfWvVA69n2HiPC+08KFN6v47VulNz+r53ovahndx6J6oD3x+t-55V+f1Q92D+dFUMHz3Q+O87672oWPj3G8RBVBE9P8T9vcz8x938A9jts8k829v9H9ICS8r9ADVAK84Cv8R9F9cdjdVB68UC+838W8MCwDh8a8cD-se8CCp8gCB8SD7959ECKC1AJ9qC18Z96C89GDDdmDVAV82DnsN9ODt8mC6dVB99ltnsj80dSCECeC6cc5L8ADCCRAc5b8ZCGDT8f9z8c4X8GAgA" rel="nofollow noreferrer">https://www.typescriptlang.org/play?#code/KYDwDg9gTgLgBDAnmY...</a>
Show HN: HackYourNews – AI summaries of the top HN stories
Hey there HN!<p>I wanted to share a pet project of mine. I built HackYourNews [1] to scratch a personal itch: Knowing which stories to focus on while browsing aimlessly (though there is a certain joy in that, as well!)<p>HackYourNews uses OpenAI's gpt-3.5-turbo to summarize the destination article as well as the comments section. Summarization of the article is always cached, while summaries of the comments are regenerated if the comments count is >10% (or >10 comments) different.<p>While I styled the homepage to welcome HNers, my preferred view is the Mobile view, accessed from the navbar. This no-frills view honors OS-level dark mode and is easy to skim on any device.<p>Tried to keep the site minimal. The only JS is Cloudflare's privacy-preserving analytics [2], just to gauge interest.<p>This is the first time I'm releasing something to the wild.<p>Hope you find this useful!<p>The frontend is pure HTML+CSS.<p>The backend is NodeJS (Puppeteer) + Python with the excellent Microsoft Guidance [3] library to interface to OpenAI's API.<p>[1] <a href="https://hackyournews.com/" rel="nofollow noreferrer">https://hackyournews.com/</a><p>[2] <a href="https://www.cloudflare.com/web-analytics/" rel="nofollow noreferrer">https://www.cloudflare.com/web-analytics/</a><p>[3] <a href="https://github.com/guidance-ai/guidance">https://github.com/guidance-ai/guidance</a>
Show HN: HackYourNews – AI summaries of the top HN stories
Hey there HN!<p>I wanted to share a pet project of mine. I built HackYourNews [1] to scratch a personal itch: Knowing which stories to focus on while browsing aimlessly (though there is a certain joy in that, as well!)<p>HackYourNews uses OpenAI's gpt-3.5-turbo to summarize the destination article as well as the comments section. Summarization of the article is always cached, while summaries of the comments are regenerated if the comments count is >10% (or >10 comments) different.<p>While I styled the homepage to welcome HNers, my preferred view is the Mobile view, accessed from the navbar. This no-frills view honors OS-level dark mode and is easy to skim on any device.<p>Tried to keep the site minimal. The only JS is Cloudflare's privacy-preserving analytics [2], just to gauge interest.<p>This is the first time I'm releasing something to the wild.<p>Hope you find this useful!<p>The frontend is pure HTML+CSS.<p>The backend is NodeJS (Puppeteer) + Python with the excellent Microsoft Guidance [3] library to interface to OpenAI's API.<p>[1] <a href="https://hackyournews.com/" rel="nofollow noreferrer">https://hackyournews.com/</a><p>[2] <a href="https://www.cloudflare.com/web-analytics/" rel="nofollow noreferrer">https://www.cloudflare.com/web-analytics/</a><p>[3] <a href="https://github.com/guidance-ai/guidance">https://github.com/guidance-ai/guidance</a>
Show HN: HackYourNews – AI summaries of the top HN stories
Hey there HN!<p>I wanted to share a pet project of mine. I built HackYourNews [1] to scratch a personal itch: Knowing which stories to focus on while browsing aimlessly (though there is a certain joy in that, as well!)<p>HackYourNews uses OpenAI's gpt-3.5-turbo to summarize the destination article as well as the comments section. Summarization of the article is always cached, while summaries of the comments are regenerated if the comments count is >10% (or >10 comments) different.<p>While I styled the homepage to welcome HNers, my preferred view is the Mobile view, accessed from the navbar. This no-frills view honors OS-level dark mode and is easy to skim on any device.<p>Tried to keep the site minimal. The only JS is Cloudflare's privacy-preserving analytics [2], just to gauge interest.<p>This is the first time I'm releasing something to the wild.<p>Hope you find this useful!<p>The frontend is pure HTML+CSS.<p>The backend is NodeJS (Puppeteer) + Python with the excellent Microsoft Guidance [3] library to interface to OpenAI's API.<p>[1] <a href="https://hackyournews.com/" rel="nofollow noreferrer">https://hackyournews.com/</a><p>[2] <a href="https://www.cloudflare.com/web-analytics/" rel="nofollow noreferrer">https://www.cloudflare.com/web-analytics/</a><p>[3] <a href="https://github.com/guidance-ai/guidance">https://github.com/guidance-ai/guidance</a>
Show HN: HackYourNews – AI summaries of the top HN stories
Hey there HN!<p>I wanted to share a pet project of mine. I built HackYourNews [1] to scratch a personal itch: Knowing which stories to focus on while browsing aimlessly (though there is a certain joy in that, as well!)<p>HackYourNews uses OpenAI's gpt-3.5-turbo to summarize the destination article as well as the comments section. Summarization of the article is always cached, while summaries of the comments are regenerated if the comments count is >10% (or >10 comments) different.<p>While I styled the homepage to welcome HNers, my preferred view is the Mobile view, accessed from the navbar. This no-frills view honors OS-level dark mode and is easy to skim on any device.<p>Tried to keep the site minimal. The only JS is Cloudflare's privacy-preserving analytics [2], just to gauge interest.<p>This is the first time I'm releasing something to the wild.<p>Hope you find this useful!<p>The frontend is pure HTML+CSS.<p>The backend is NodeJS (Puppeteer) + Python with the excellent Microsoft Guidance [3] library to interface to OpenAI's API.<p>[1] <a href="https://hackyournews.com/" rel="nofollow noreferrer">https://hackyournews.com/</a><p>[2] <a href="https://www.cloudflare.com/web-analytics/" rel="nofollow noreferrer">https://www.cloudflare.com/web-analytics/</a><p>[3] <a href="https://github.com/guidance-ai/guidance">https://github.com/guidance-ai/guidance</a>
Show HN: uDSV.js – A faster CSV parser
Hey folks!<p>I know CSV parsers (especially in JS) aren't terribly exciting and someone writes a "better" one every week.<p>I'm in the middle of my parental leave, and this was a project that came out of me looking for the fastest/smallest CSV parser. It all started so innocently, and then turned into a benchmark-validation-athon; the library itself took ~2 weeks to write, but the performance comparisons took another ~4 weeks (on and off).<p>The benchmarks were a huge effort, but I think they are the most thorough to date, both in breadth and in depth, so hopefully you find them useful: <a href="https://github.com/leeoniya/uDSV/tree/main/bench">https://github.com/leeoniya/uDSV/tree/main/bench</a><p>Let me know if you have specific concerns / questions / improvements :)<p>cheers!
Leon
Show HN: iNet – A programming language for interaction nets
Show HN: iNet – A programming language for interaction nets
Retool AI
Show HN: Alaz: Open-Source, Self-Hosted, eBPF-Based K8s Monitoring
Hello Everyone,<p>I'm excited to introduce a new open-source observability platform and would love to hear your feedback.<p>We are aware that there are lots of open-source/commercial tools out there. However, we believe that monitoring the clusters and extracting actionable insights requires deep know-how about the tools/domain. We mainly focused on this problem.<p>- Alaz is an eBPF agent installed on your K8s cluster as DaemonSet. Thanks to eBPF, Alaz collects traces directly from Linux kernels. This means there's no need for sidecars, instrumentations, or service restarts.<p>- The UI not only visualizes data but also provides actionable insights. Using the Service Map, you can:<p><pre><code> - View latencies and RPS between services.
- Detect zombie services and underperforming SQL queries.
- Monitor golden signals, such as 5xx status codes.
</code></pre>
In addition, Alaz can capture system resources like CPU, Memory, Disk, and Network through the Prometheus Node Exporter, which is embedded in the agent.<p>Setting up is straightforward: just install Alaz as a DaemonSet, and the platform will handle the rest.<p>Finally, the combination of Alaz and Ddosify Performance Testing makes it possible to do load testing and simultaneously monitor the system to find bottlenecks instantly.<p>For those interested, check out Alaz on GitHub: <a href="https://github.com/ddosify/alaz">https://github.com/ddosify/alaz</a><p>Your feedback would be greatly appreciated!
Show HN: Alaz: Open-Source, Self-Hosted, eBPF-Based K8s Monitoring
Hello Everyone,<p>I'm excited to introduce a new open-source observability platform and would love to hear your feedback.<p>We are aware that there are lots of open-source/commercial tools out there. However, we believe that monitoring the clusters and extracting actionable insights requires deep know-how about the tools/domain. We mainly focused on this problem.<p>- Alaz is an eBPF agent installed on your K8s cluster as DaemonSet. Thanks to eBPF, Alaz collects traces directly from Linux kernels. This means there's no need for sidecars, instrumentations, or service restarts.<p>- The UI not only visualizes data but also provides actionable insights. Using the Service Map, you can:<p><pre><code> - View latencies and RPS between services.
- Detect zombie services and underperforming SQL queries.
- Monitor golden signals, such as 5xx status codes.
</code></pre>
In addition, Alaz can capture system resources like CPU, Memory, Disk, and Network through the Prometheus Node Exporter, which is embedded in the agent.<p>Setting up is straightforward: just install Alaz as a DaemonSet, and the platform will handle the rest.<p>Finally, the combination of Alaz and Ddosify Performance Testing makes it possible to do load testing and simultaneously monitor the system to find bottlenecks instantly.<p>For those interested, check out Alaz on GitHub: <a href="https://github.com/ddosify/alaz">https://github.com/ddosify/alaz</a><p>Your feedback would be greatly appreciated!
Show HN: Alaz: Open-Source, Self-Hosted, eBPF-Based K8s Monitoring
Hello Everyone,<p>I'm excited to introduce a new open-source observability platform and would love to hear your feedback.<p>We are aware that there are lots of open-source/commercial tools out there. However, we believe that monitoring the clusters and extracting actionable insights requires deep know-how about the tools/domain. We mainly focused on this problem.<p>- Alaz is an eBPF agent installed on your K8s cluster as DaemonSet. Thanks to eBPF, Alaz collects traces directly from Linux kernels. This means there's no need for sidecars, instrumentations, or service restarts.<p>- The UI not only visualizes data but also provides actionable insights. Using the Service Map, you can:<p><pre><code> - View latencies and RPS between services.
- Detect zombie services and underperforming SQL queries.
- Monitor golden signals, such as 5xx status codes.
</code></pre>
In addition, Alaz can capture system resources like CPU, Memory, Disk, and Network through the Prometheus Node Exporter, which is embedded in the agent.<p>Setting up is straightforward: just install Alaz as a DaemonSet, and the platform will handle the rest.<p>Finally, the combination of Alaz and Ddosify Performance Testing makes it possible to do load testing and simultaneously monitor the system to find bottlenecks instantly.<p>For those interested, check out Alaz on GitHub: <a href="https://github.com/ddosify/alaz">https://github.com/ddosify/alaz</a><p>Your feedback would be greatly appreciated!
Show HN: Fully client-side GPT2 prediction visualizer
Hi HN! I've found this visualization tool immensely helpful over the years for getting an intuition for how an LLM "sees" some piece of text, and with a bit of elbow grease decided to move all compute to client side so I could make it publicly available.<p>I've found it particularly useful for<p>- Understanding exactly how repetition and patterns affect a small LM's ability to predict correctly<p>- Understanding different tokenization patterns and how it affects model output<p>- Getting a general sense of how "hard" different prediction tasks are for GPT-style models<p>Known problems (that I probably won't fix, since this was a kind of one-off project)<p>- Doesn't work well with Unicode grapheme clusters that are multiple GPT-2 tokens (e.g. emoji, smart quotes)<p>- Support for other models (maybe later?)
Show HN: Fully client-side GPT2 prediction visualizer
Hi HN! I've found this visualization tool immensely helpful over the years for getting an intuition for how an LLM "sees" some piece of text, and with a bit of elbow grease decided to move all compute to client side so I could make it publicly available.<p>I've found it particularly useful for<p>- Understanding exactly how repetition and patterns affect a small LM's ability to predict correctly<p>- Understanding different tokenization patterns and how it affects model output<p>- Getting a general sense of how "hard" different prediction tasks are for GPT-style models<p>Known problems (that I probably won't fix, since this was a kind of one-off project)<p>- Doesn't work well with Unicode grapheme clusters that are multiple GPT-2 tokens (e.g. emoji, smart quotes)<p>- Support for other models (maybe later?)
Show HN: A better way to read blogs
Hey HN, maker here. It was a serious 4-6 months of effort to build this. I have never poured as much love, attention and detail into a project before. So I really appreciate you having a looksie!<p>The homepage has a fresh list of articles every hour and is open to all. Still, I recommend signing up so you can add stuff to your reading list and follow blogs.<p>My initial plan was to monetize this with subtle ads, but that didn't work out as the traffic to the site isn't nearly enough for that. That said, I have a fair bit invested in this and I need your help figuring out a way to make this sustainability profitable. If this was yours, what bits would you charge for? Are there any features I could add to a "pro" subscription?<p>Appreciate any help and support!
Show HN: A better way to read blogs
Hey HN, maker here. It was a serious 4-6 months of effort to build this. I have never poured as much love, attention and detail into a project before. So I really appreciate you having a looksie!<p>The homepage has a fresh list of articles every hour and is open to all. Still, I recommend signing up so you can add stuff to your reading list and follow blogs.<p>My initial plan was to monetize this with subtle ads, but that didn't work out as the traffic to the site isn't nearly enough for that. That said, I have a fair bit invested in this and I need your help figuring out a way to make this sustainability profitable. If this was yours, what bits would you charge for? Are there any features I could add to a "pro" subscription?<p>Appreciate any help and support!
Show HN: Nix Snapshotter – Native understanding of Nix packages for containerd
Hello! This is Edgar and Robbie and we built nix-snapshotter. nix-snapshotter brings native understanding of Nix packages to containerd.<p>We built this because Nix is a great fit for making efficient containers. They don't need an OS because Nix captures all dependencies exactly. However, the current process of creating Nix images is subpar because one needs to transform Nix packages into a format that container runtimes understand.<p>Using nix-snapshotter, instead of downloading image layers, packages come directly from the Nix store. Packages can be fetched from a binary cache or built on the fly if necessary. All existing non-Nix images continue to be supported, and Nix layers can be interleaved with normal layers.<p>nix-snapshotter also provides a CRI image service, which allows Kubernetes to resolve image manifests from Nix directly too. This enables for the first time, fully declarative Kubernetes resources, all the way down to the image specification and its contents. With this, you can even run pure Nix images without a Docker Registry at all, if you wish.<p>We'd love for you to try it out, there is a one-liner for Nix users to boot a VM with everything pre-configured: <a href="https://github.com/pdtpartners/nix-snapshotter">https://github.com/pdtpartners/nix-snapshotter</a>
Show HN: Nix Snapshotter – Native understanding of Nix packages for containerd
Hello! This is Edgar and Robbie and we built nix-snapshotter. nix-snapshotter brings native understanding of Nix packages to containerd.<p>We built this because Nix is a great fit for making efficient containers. They don't need an OS because Nix captures all dependencies exactly. However, the current process of creating Nix images is subpar because one needs to transform Nix packages into a format that container runtimes understand.<p>Using nix-snapshotter, instead of downloading image layers, packages come directly from the Nix store. Packages can be fetched from a binary cache or built on the fly if necessary. All existing non-Nix images continue to be supported, and Nix layers can be interleaved with normal layers.<p>nix-snapshotter also provides a CRI image service, which allows Kubernetes to resolve image manifests from Nix directly too. This enables for the first time, fully declarative Kubernetes resources, all the way down to the image specification and its contents. With this, you can even run pure Nix images without a Docker Registry at all, if you wish.<p>We'd love for you to try it out, there is a one-liner for Nix users to boot a VM with everything pre-configured: <a href="https://github.com/pdtpartners/nix-snapshotter">https://github.com/pdtpartners/nix-snapshotter</a>
Show HN: Nix Snapshotter – Native understanding of Nix packages for containerd
Hello! This is Edgar and Robbie and we built nix-snapshotter. nix-snapshotter brings native understanding of Nix packages to containerd.<p>We built this because Nix is a great fit for making efficient containers. They don't need an OS because Nix captures all dependencies exactly. However, the current process of creating Nix images is subpar because one needs to transform Nix packages into a format that container runtimes understand.<p>Using nix-snapshotter, instead of downloading image layers, packages come directly from the Nix store. Packages can be fetched from a binary cache or built on the fly if necessary. All existing non-Nix images continue to be supported, and Nix layers can be interleaved with normal layers.<p>nix-snapshotter also provides a CRI image service, which allows Kubernetes to resolve image manifests from Nix directly too. This enables for the first time, fully declarative Kubernetes resources, all the way down to the image specification and its contents. With this, you can even run pure Nix images without a Docker Registry at all, if you wish.<p>We'd love for you to try it out, there is a one-liner for Nix users to boot a VM with everything pre-configured: <a href="https://github.com/pdtpartners/nix-snapshotter">https://github.com/pdtpartners/nix-snapshotter</a>
Show HN: Host a Website in the URL
I wrote this silly thing a couple of weeks ago. It's absolutely useless but it's a fun tech demo for my web server library. Enjoy!