The best Hacker News stories from Show from the past day
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Show HN: I built a Yahoo Messenger-inspired web chat app – pure nostalgia
I’ve been feeling a bit nostalgic lately, so I decided to build a little web chat app inspired by Yahoo! Messenger. Right now it’s got group chat rooms. Super simple setup, no email required to register. You can create your own room or hop into one that’s already open.<p>Room owners can customize things like backgrounds and even cursors of their room. Users can format their messages with basic markdown like bold, italics, and color texts (kind of like the old Yahoo! days).<p>I even brought back the classic Yahoo! Messenger emoticons because… well, why not?<p>You can try it out here: <a href="https://buzzed.chat" rel="nofollow">https://buzzed.chat</a>
(Heads up: it's still pretty barebones, so excuse any bugs you might run into!)<p>I'm thinking of adding a few more features next, like:<p>• Audibles<p>• A buddy list so you can add friends<p>• Private chats between buddies<p>Before I keep building, I wanted to check in and see what people think. Anyone else remember using Yahoo! Messenger back in the day? Any features you’d love to see again?<p>Would genuinely love to hear your thoughts and ideas
Show HN: Obelisk – a WASM-based deterministic workflow engine
A lightweight engine for durable execution / deterministic workflows I built with Rust, wasmtime and the WASM Component Model.
Its main use is running reliable, long-running workflows that can automatically resume after failures.
Looking for feedback on the approach and potential use cases!
Show HN: Obelisk – a WASM-based deterministic workflow engine
A lightweight engine for durable execution / deterministic workflows I built with Rust, wasmtime and the WASM Component Model.
Its main use is running reliable, long-running workflows that can automatically resume after failures.
Looking for feedback on the approach and potential use cases!
Show HN: I built a tool to manage and compare credit card rewards
This is a free tool that helps you manage and visualize your credit card rewards across different categories.<p>You can input the cards in your wallet and see how they complement each other, spot gaps in your setup, and also see the best card to use for a given merchant.<p>I’m also a founder at OneCard, where we’re building a smart card that’ll eventually handle all of this automatically, routing each purchase to the best card in real-time.<p>Would love feedback from the HN community!
Show HN: I built a tool to manage and compare credit card rewards
This is a free tool that helps you manage and visualize your credit card rewards across different categories.<p>You can input the cards in your wallet and see how they complement each other, spot gaps in your setup, and also see the best card to use for a given merchant.<p>I’m also a founder at OneCard, where we’re building a smart card that’ll eventually handle all of this automatically, routing each purchase to the best card in real-time.<p>Would love feedback from the HN community!
Show HN: I built a tool to manage and compare credit card rewards
This is a free tool that helps you manage and visualize your credit card rewards across different categories.<p>You can input the cards in your wallet and see how they complement each other, spot gaps in your setup, and also see the best card to use for a given merchant.<p>I’m also a founder at OneCard, where we’re building a smart card that’ll eventually handle all of this automatically, routing each purchase to the best card in real-time.<p>Would love feedback from the HN community!
Show HN: Koreo – A platform engineering toolkit for Kubernetes
A large part of our (Real Kinetic's) business is helping organizations implement platform engineering, but we've found the existing tooling to be lacking. For IaC, Terraform state becomes a pain because TF treats infrastructure as "one-shot" commands. The Kubernetes controller model provides a nicer approach to managing infrastructure, but the tooling here is also lacking. For configuration management, Helm just doesn't really scale with complexity, nor does Kustomize. For resource orchestration, Crossplane is a step in the right direction but still has challenges and limitations.<p>As a result, we ended up building something that's sort of a "meta-controller programming language" on top of Kubernetes called Koreo. It provides a solution for configuration management and resource orchestration in Kubernetes by basically letting you program controllers. We've been using Koreo for a while now to build internal developer platform capabilities for our commercial product and our clients, and we recently open sourced it to share it with the community.<p>Koreo has some similarities to configuration languages like KCL, Jsonnet, etc. since it is a means of configuration management (e.g. you can define base configurations, apply overlays, point patches, and so forth). Where it really diverges though is Koreo provides a unified approach to config management <i>and</i> resource orchestration. This means you can start to treat Kubernetes resources as "legos" to build pretty sophisticated workflows. For instance, the output of a resource can be used as the input to another resource. This isn't really possible with Helm, even with `lookup` because `lookup` requires the resource to already be in-cluster in order to reference it.<p>This is why we refer to Koreo as a meta-controller programming language because it effectively lets you program and compose Kubernetes controllers into cohesive platforms—either built-in controllers (think Deployment or StatefulSet), off-the-shelf ones such as AWS ACK or GCP's Config Connector, or custom operators. It lets you build or combine controllers without actually needing to implement an operator. Through this lens, Koreo is really more akin to Crossplane but without some of the limitations such as Providers and cluster-scoped managed resources.<p>It seems crazy and maybe it is, but I've found working in Koreo to actually be surprisingly fun since it kind of turns Kubernetes primitives into legos you can easily piece together, reuse, and build some pretty cool automated workflows. You can learn more about the motivation and thinking behind it here: <a href="https://theyamlengineer.com" rel="nofollow">https://theyamlengineer.com</a>
Show HN: Koreo – A platform engineering toolkit for Kubernetes
A large part of our (Real Kinetic's) business is helping organizations implement platform engineering, but we've found the existing tooling to be lacking. For IaC, Terraform state becomes a pain because TF treats infrastructure as "one-shot" commands. The Kubernetes controller model provides a nicer approach to managing infrastructure, but the tooling here is also lacking. For configuration management, Helm just doesn't really scale with complexity, nor does Kustomize. For resource orchestration, Crossplane is a step in the right direction but still has challenges and limitations.<p>As a result, we ended up building something that's sort of a "meta-controller programming language" on top of Kubernetes called Koreo. It provides a solution for configuration management and resource orchestration in Kubernetes by basically letting you program controllers. We've been using Koreo for a while now to build internal developer platform capabilities for our commercial product and our clients, and we recently open sourced it to share it with the community.<p>Koreo has some similarities to configuration languages like KCL, Jsonnet, etc. since it is a means of configuration management (e.g. you can define base configurations, apply overlays, point patches, and so forth). Where it really diverges though is Koreo provides a unified approach to config management <i>and</i> resource orchestration. This means you can start to treat Kubernetes resources as "legos" to build pretty sophisticated workflows. For instance, the output of a resource can be used as the input to another resource. This isn't really possible with Helm, even with `lookup` because `lookup` requires the resource to already be in-cluster in order to reference it.<p>This is why we refer to Koreo as a meta-controller programming language because it effectively lets you program and compose Kubernetes controllers into cohesive platforms—either built-in controllers (think Deployment or StatefulSet), off-the-shelf ones such as AWS ACK or GCP's Config Connector, or custom operators. It lets you build or combine controllers without actually needing to implement an operator. Through this lens, Koreo is really more akin to Crossplane but without some of the limitations such as Providers and cluster-scoped managed resources.<p>It seems crazy and maybe it is, but I've found working in Koreo to actually be surprisingly fun since it kind of turns Kubernetes primitives into legos you can easily piece together, reuse, and build some pretty cool automated workflows. You can learn more about the motivation and thinking behind it here: <a href="https://theyamlengineer.com" rel="nofollow">https://theyamlengineer.com</a>
Show HN: Koreo – A platform engineering toolkit for Kubernetes
A large part of our (Real Kinetic's) business is helping organizations implement platform engineering, but we've found the existing tooling to be lacking. For IaC, Terraform state becomes a pain because TF treats infrastructure as "one-shot" commands. The Kubernetes controller model provides a nicer approach to managing infrastructure, but the tooling here is also lacking. For configuration management, Helm just doesn't really scale with complexity, nor does Kustomize. For resource orchestration, Crossplane is a step in the right direction but still has challenges and limitations.<p>As a result, we ended up building something that's sort of a "meta-controller programming language" on top of Kubernetes called Koreo. It provides a solution for configuration management and resource orchestration in Kubernetes by basically letting you program controllers. We've been using Koreo for a while now to build internal developer platform capabilities for our commercial product and our clients, and we recently open sourced it to share it with the community.<p>Koreo has some similarities to configuration languages like KCL, Jsonnet, etc. since it is a means of configuration management (e.g. you can define base configurations, apply overlays, point patches, and so forth). Where it really diverges though is Koreo provides a unified approach to config management <i>and</i> resource orchestration. This means you can start to treat Kubernetes resources as "legos" to build pretty sophisticated workflows. For instance, the output of a resource can be used as the input to another resource. This isn't really possible with Helm, even with `lookup` because `lookup` requires the resource to already be in-cluster in order to reference it.<p>This is why we refer to Koreo as a meta-controller programming language because it effectively lets you program and compose Kubernetes controllers into cohesive platforms—either built-in controllers (think Deployment or StatefulSet), off-the-shelf ones such as AWS ACK or GCP's Config Connector, or custom operators. It lets you build or combine controllers without actually needing to implement an operator. Through this lens, Koreo is really more akin to Crossplane but without some of the limitations such as Providers and cluster-scoped managed resources.<p>It seems crazy and maybe it is, but I've found working in Koreo to actually be surprisingly fun since it kind of turns Kubernetes primitives into legos you can easily piece together, reuse, and build some pretty cool automated workflows. You can learn more about the motivation and thinking behind it here: <a href="https://theyamlengineer.com" rel="nofollow">https://theyamlengineer.com</a>
Show HN: Koreo – A platform engineering toolkit for Kubernetes
A large part of our (Real Kinetic's) business is helping organizations implement platform engineering, but we've found the existing tooling to be lacking. For IaC, Terraform state becomes a pain because TF treats infrastructure as "one-shot" commands. The Kubernetes controller model provides a nicer approach to managing infrastructure, but the tooling here is also lacking. For configuration management, Helm just doesn't really scale with complexity, nor does Kustomize. For resource orchestration, Crossplane is a step in the right direction but still has challenges and limitations.<p>As a result, we ended up building something that's sort of a "meta-controller programming language" on top of Kubernetes called Koreo. It provides a solution for configuration management and resource orchestration in Kubernetes by basically letting you program controllers. We've been using Koreo for a while now to build internal developer platform capabilities for our commercial product and our clients, and we recently open sourced it to share it with the community.<p>Koreo has some similarities to configuration languages like KCL, Jsonnet, etc. since it is a means of configuration management (e.g. you can define base configurations, apply overlays, point patches, and so forth). Where it really diverges though is Koreo provides a unified approach to config management <i>and</i> resource orchestration. This means you can start to treat Kubernetes resources as "legos" to build pretty sophisticated workflows. For instance, the output of a resource can be used as the input to another resource. This isn't really possible with Helm, even with `lookup` because `lookup` requires the resource to already be in-cluster in order to reference it.<p>This is why we refer to Koreo as a meta-controller programming language because it effectively lets you program and compose Kubernetes controllers into cohesive platforms—either built-in controllers (think Deployment or StatefulSet), off-the-shelf ones such as AWS ACK or GCP's Config Connector, or custom operators. It lets you build or combine controllers without actually needing to implement an operator. Through this lens, Koreo is really more akin to Crossplane but without some of the limitations such as Providers and cluster-scoped managed resources.<p>It seems crazy and maybe it is, but I've found working in Koreo to actually be surprisingly fun since it kind of turns Kubernetes primitives into legos you can easily piece together, reuse, and build some pretty cool automated workflows. You can learn more about the motivation and thinking behind it here: <a href="https://theyamlengineer.com" rel="nofollow">https://theyamlengineer.com</a>
Show HN: Comparing product rankings by OpenAI, Anthropic, and Perplexity
Hi HN! AI Product Rank lets you to search for topics and products, and see how OpenAI, Anthropic, and Perplexity rank them. You can also see the citations for each ranking.<p>We’re interested in seeing how AI decides to recommend products, especially now that they are actively searching the web. Now that we can retrieve citations by API, we can learn a bit more about what sources the various models use.<p>This is increasingly becoming important - Guillermo Rauch said that ChatGPT now refers ~5% of Vercel signups, which is up 5x over the last six months. [1]<p>It’s been fascinating to see the somewhat strange sources that the models pull from; one hypothesis is that most of the high quality sources have opted out of training data, leaving a pretty exotic long tail of citations. For example, a search for car brands yielded citations including Lux Mag and a class action filing against Chevy for batteries. [2]<p>We'd love for you to give it a try and let me know what you think! What other data would you want to see?<p>[1] <a href="https://x.com/rauchg/status/1898122330653835656" rel="nofollow">https://x.com/rauchg/status/1898122330653835656</a><p>[2] <a href="https://productrank.ai/topic/car-brands" rel="nofollow">https://productrank.ai/topic/car-brands</a>
Show HN: I built an app to generate story relationships using Mermaidjs
Show HN: I built an app to generate story relationships using Mermaidjs
Show HN: I built an app to generate story relationships using Mermaidjs
Show HN: I built an app to generate story relationships using Mermaidjs
Show HN: I built an app to generate story relationships using Mermaidjs
Show HN: Aqua Voice 2 – Fast Voice Input for Mac and Windows
Hey HN - It’s Finn and Jack from Aqua Voice (<a href="https://withaqua.com">https://withaqua.com</a>). Aqua is fast AI dictation for your desktop and our attempt to make voice a first-class input method.<p>Video: <a href="https://withaqua.com/watch">https://withaqua.com/watch</a><p>Try it here: <a href="https://withaqua.com/sandbox">https://withaqua.com/sandbox</a><p>Finn is uber dyslexic and has been using dictation software since sixth grade. For over a decade, he’s been chasing a dream that never quite worked — using your voice instead of a keyboard.<p>Our last post (<a href="https://news.ycombinator.com/item?id=39828686">https://news.ycombinator.com/item?id=39828686</a>) about this seemed to resonate with the community - though it turned out that version of Aqua was a better demo than product. But it gave us (and others) a lot of good ideas about what should come next.<p>Since then, we’ve remade Aqua from scratch for speed and usability. It now lives on your desktop, and it lets you talk into any text field -- Cursor, Gmail, Slack, even your terminal.<p>It starts up in under 50ms, inserts text in about a second (sometimes as fast as 450ms), and has state-of-the-art accuracy. It does a lot more, but that’s the core. We’d love your feedback — and if you’ve got ideas for what voice should do next, let’s hear them!
Show HN: Aqua Voice 2 – Fast Voice Input for Mac and Windows
Hey HN - It’s Finn and Jack from Aqua Voice (<a href="https://withaqua.com">https://withaqua.com</a>). Aqua is fast AI dictation for your desktop and our attempt to make voice a first-class input method.<p>Video: <a href="https://withaqua.com/watch">https://withaqua.com/watch</a><p>Try it here: <a href="https://withaqua.com/sandbox">https://withaqua.com/sandbox</a><p>Finn is uber dyslexic and has been using dictation software since sixth grade. For over a decade, he’s been chasing a dream that never quite worked — using your voice instead of a keyboard.<p>Our last post (<a href="https://news.ycombinator.com/item?id=39828686">https://news.ycombinator.com/item?id=39828686</a>) about this seemed to resonate with the community - though it turned out that version of Aqua was a better demo than product. But it gave us (and others) a lot of good ideas about what should come next.<p>Since then, we’ve remade Aqua from scratch for speed and usability. It now lives on your desktop, and it lets you talk into any text field -- Cursor, Gmail, Slack, even your terminal.<p>It starts up in under 50ms, inserts text in about a second (sometimes as fast as 450ms), and has state-of-the-art accuracy. It does a lot more, but that’s the core. We’d love your feedback — and if you’ve got ideas for what voice should do next, let’s hear them!
Show HN: Aqua Voice 2 – Fast Voice Input for Mac and Windows
Hey HN - It’s Finn and Jack from Aqua Voice (<a href="https://withaqua.com">https://withaqua.com</a>). Aqua is fast AI dictation for your desktop and our attempt to make voice a first-class input method.<p>Video: <a href="https://withaqua.com/watch">https://withaqua.com/watch</a><p>Try it here: <a href="https://withaqua.com/sandbox">https://withaqua.com/sandbox</a><p>Finn is uber dyslexic and has been using dictation software since sixth grade. For over a decade, he’s been chasing a dream that never quite worked — using your voice instead of a keyboard.<p>Our last post (<a href="https://news.ycombinator.com/item?id=39828686">https://news.ycombinator.com/item?id=39828686</a>) about this seemed to resonate with the community - though it turned out that version of Aqua was a better demo than product. But it gave us (and others) a lot of good ideas about what should come next.<p>Since then, we’ve remade Aqua from scratch for speed and usability. It now lives on your desktop, and it lets you talk into any text field -- Cursor, Gmail, Slack, even your terminal.<p>It starts up in under 50ms, inserts text in about a second (sometimes as fast as 450ms), and has state-of-the-art accuracy. It does a lot more, but that’s the core. We’d love your feedback — and if you’ve got ideas for what voice should do next, let’s hear them!
Show HN: DrawDB – open-source online database diagram editor (a retro)
One year ago I open-sourced my very first 'real' project and shared it here. I was a college student in my senior year and desperately looking for a job. At the time of sharing it i couldn't even afford a domain and naively let someone buy the one i had my eyes on lol. It's been a hell of a year with this blowing up, me moving to another country, and switching 2 jobs.<p>In a year we somehow managed to hit 26k stars, grow a 1000+ person discord community, and support 37 languages. I couldn't be more grateful for the community that helped this grow, but now i don't know what direction to take this project in.<p>All of this was an accident. But now I feel like I'm missing out on not using this success. I have been thinking of monetization options, but not sure if I wanna go down that route. I like the idea of it being free and available for everyone but also can't help but think of everything that could be done if committed full-time or even had a small team. I keep telling myself(and others) i'll do something if i meet a co-founder, but doubt and fear of blowing this up keeps back.<p>How would you proceed?