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Show HN: Truss – Serve any ML model without boilerplate code

Show HN: Truss – Serve any ML model without boilerplate code

Show HN: Chunk – Code sandbox for back-end devs

Chunk co-founder here. We spent the last 2 weeks building this to scratch our own itch:<p>As developers, we often have problems that could be solved just by running a few lines of code. Sometimes, running this code on your local machine is fine. But other time, the code need to run automatically reacting to external events or to run continuously, which means, it needs to run on a server somewhere.<p>So now, you have to find a cloud provider, to package or build the code and finally to deploy it. All of that for what could be literally be 4 lines of code.<p>We couldn’t find an easier way to do this, so we built it.<p>Chunk is an all in one web editor (think of the codesandbox experience) that allows you to write, deploy and run a piece of code in the cloud from a variety of triggers: HTTP, WebHook, manual or scheduled (cron).<p>No setup, no build, no deploy. Chunk makes you go from idea to code running in the cloud in seconds.<p>Let me know what you guys think!

Show HN: Chunk – Code sandbox for back-end devs

Chunk co-founder here. We spent the last 2 weeks building this to scratch our own itch:<p>As developers, we often have problems that could be solved just by running a few lines of code. Sometimes, running this code on your local machine is fine. But other time, the code need to run automatically reacting to external events or to run continuously, which means, it needs to run on a server somewhere.<p>So now, you have to find a cloud provider, to package or build the code and finally to deploy it. All of that for what could be literally be 4 lines of code.<p>We couldn’t find an easier way to do this, so we built it.<p>Chunk is an all in one web editor (think of the codesandbox experience) that allows you to write, deploy and run a piece of code in the cloud from a variety of triggers: HTTP, WebHook, manual or scheduled (cron).<p>No setup, no build, no deploy. Chunk makes you go from idea to code running in the cloud in seconds.<p>Let me know what you guys think!

Show HN: Chunk – Code sandbox for back-end devs

Chunk co-founder here. We spent the last 2 weeks building this to scratch our own itch:<p>As developers, we often have problems that could be solved just by running a few lines of code. Sometimes, running this code on your local machine is fine. But other time, the code need to run automatically reacting to external events or to run continuously, which means, it needs to run on a server somewhere.<p>So now, you have to find a cloud provider, to package or build the code and finally to deploy it. All of that for what could be literally be 4 lines of code.<p>We couldn’t find an easier way to do this, so we built it.<p>Chunk is an all in one web editor (think of the codesandbox experience) that allows you to write, deploy and run a piece of code in the cloud from a variety of triggers: HTTP, WebHook, manual or scheduled (cron).<p>No setup, no build, no deploy. Chunk makes you go from idea to code running in the cloud in seconds.<p>Let me know what you guys think!

Show HN: Chunk – Code sandbox for back-end devs

Chunk co-founder here. We spent the last 2 weeks building this to scratch our own itch:<p>As developers, we often have problems that could be solved just by running a few lines of code. Sometimes, running this code on your local machine is fine. But other time, the code need to run automatically reacting to external events or to run continuously, which means, it needs to run on a server somewhere.<p>So now, you have to find a cloud provider, to package or build the code and finally to deploy it. All of that for what could be literally be 4 lines of code.<p>We couldn’t find an easier way to do this, so we built it.<p>Chunk is an all in one web editor (think of the codesandbox experience) that allows you to write, deploy and run a piece of code in the cloud from a variety of triggers: HTTP, WebHook, manual or scheduled (cron).<p>No setup, no build, no deploy. Chunk makes you go from idea to code running in the cloud in seconds.<p>Let me know what you guys think!

Show HN: Doxx Me – See how doxxable your phone number is

I built this tool that checks publicly available data against your phone number. I was surprised how one my numbers (which I text and sign up for services with) has a lot of information attached to it including my full name, all previous addresses, relatives, emails, and more.

Show HN: Doxx Me – See how doxxable your phone number is

I built this tool that checks publicly available data against your phone number. I was surprised how one my numbers (which I text and sign up for services with) has a lot of information attached to it including my full name, all previous addresses, relatives, emails, and more.

Show HN: Doxx Me – See how doxxable your phone number is

I built this tool that checks publicly available data against your phone number. I was surprised how one my numbers (which I text and sign up for services with) has a lot of information attached to it including my full name, all previous addresses, relatives, emails, and more.

Show HN: Marple – Interactive time series visualization for engineers

Hi HN, excited to share the project I have been working on for the past two years. Marple was created by engineers for engineers. Marple helps them organize and analyze their sensor data in a more user-friendly way.<p>We’ve all been there: measurement data from an experiment or test needs to be analyzed but the only thing you have is a few data files flying around. You do not have a clue how to open or read the data. So what you do next is open your Python/Matlab/Jupyter Notebook/… and start coding in order to make some sense of the data. We didn’t like that process, so we started Marple to solve this issue.<p>Engineers tend to log data at frequencies from 1Hz to 10kHz and usually log hundreds of sensors at the same time. Data sets usually contain millions of data points. In order to make our web-based data visualization responsive, we had some technical challenges to tackle. We developed our own visualization engine based on PostgreSQL that is able to visualize millions of data points pretty much instantly. This allows us to create an interactive visualization environment which is perfect for data exploration, even for large data sets!<p>This is the second time we show Marple to HackerNews, but since then we made some big steps. We made a pivot to a cloud product and now offer a free version of Marple. Feel free to head over to our website and give it a go. Let us know what you think of it!

Show HN: Marple – Interactive time series visualization for engineers

Hi HN, excited to share the project I have been working on for the past two years. Marple was created by engineers for engineers. Marple helps them organize and analyze their sensor data in a more user-friendly way.<p>We’ve all been there: measurement data from an experiment or test needs to be analyzed but the only thing you have is a few data files flying around. You do not have a clue how to open or read the data. So what you do next is open your Python/Matlab/Jupyter Notebook/… and start coding in order to make some sense of the data. We didn’t like that process, so we started Marple to solve this issue.<p>Engineers tend to log data at frequencies from 1Hz to 10kHz and usually log hundreds of sensors at the same time. Data sets usually contain millions of data points. In order to make our web-based data visualization responsive, we had some technical challenges to tackle. We developed our own visualization engine based on PostgreSQL that is able to visualize millions of data points pretty much instantly. This allows us to create an interactive visualization environment which is perfect for data exploration, even for large data sets!<p>This is the second time we show Marple to HackerNews, but since then we made some big steps. We made a pivot to a cloud product and now offer a free version of Marple. Feel free to head over to our website and give it a go. Let us know what you think of it!

Show HN: Marple – Interactive time series visualization for engineers

Hi HN, excited to share the project I have been working on for the past two years. Marple was created by engineers for engineers. Marple helps them organize and analyze their sensor data in a more user-friendly way.<p>We’ve all been there: measurement data from an experiment or test needs to be analyzed but the only thing you have is a few data files flying around. You do not have a clue how to open or read the data. So what you do next is open your Python/Matlab/Jupyter Notebook/… and start coding in order to make some sense of the data. We didn’t like that process, so we started Marple to solve this issue.<p>Engineers tend to log data at frequencies from 1Hz to 10kHz and usually log hundreds of sensors at the same time. Data sets usually contain millions of data points. In order to make our web-based data visualization responsive, we had some technical challenges to tackle. We developed our own visualization engine based on PostgreSQL that is able to visualize millions of data points pretty much instantly. This allows us to create an interactive visualization environment which is perfect for data exploration, even for large data sets!<p>This is the second time we show Marple to HackerNews, but since then we made some big steps. We made a pivot to a cloud product and now offer a free version of Marple. Feel free to head over to our website and give it a go. Let us know what you think of it!

Show HN: Gum, a tool for glamorous shell scripts

Show HN: Gum, a tool for glamorous shell scripts

Show HN: TensorDock Core GPU Cloud – GPU servers from $0.29/hr

Hello HN!<p>I’m Jonathan from TensorDock. After 7 months in beta, we’re finally launching Core Cloud, our platform to deploy GPU virtual machines in as little as 45 seconds! <a href="https://www.tensordock.com/product-core" rel="nofollow">https://www.tensordock.com/product-core</a><p>Why? Training machine learning workloads at large clouds can be extremely expensive. This left us wondering, “how did cloud ever become more expensive than on-prem?” I’ve seen too many ML startups buy their own hardware. Cheaper dedicated servers with NVIDIA GPUs are not too hard to find, but they lack the functionality and scalability of the big clouds.<p>We thought to ourselves, what if we built a platform that combines the functionality of the large clouds but made it priced somewhere between a dedicated server and the large clouds? That’s exactly what we’ve done.<p>Built to make engineers more productive. We have 3 machine learning images so you can start training ML models in 2 minutes, not 2 hours. We provide a REST API, so you can integrate directly your code with ours. And, there’s a community CLI you can use to manage your servers directly via command line<p>We provide a feature set only large clouds supersede. We have storage-only billing when the VM is stopped (for only $0.073/GB/month) so that you aren't paying for compute when you don't need it. We also provide the ability to edit virtual machines after they’re created to downsize costs. If you provision a NVIDIA A6000 and find out you’re only using 50% of it, stop the VM, modify it to a NVIDIA A5000, and you’ll be billed the lower hourly rate without needing to recreate your server and migrate data over! Our infrastructure is built on 3x-replicated NVMe-based network storage, 10 Gbps networking, and 3 locations (New York, Chicago, Las Vegas) with more coming soon!<p><pre><code> - CPU-only servers from $0.027/hour - NVIDIA Quadro RTX 4000s from $0.29/hour - NVIDIA Tesla V100s from $0.52/hour - and 8 other GPU types that let you truly right-size workloads so that you’re never paying for more than you actually need </code></pre> We're starting off with $1 in free credits! Yes, we sound cheap… but $1 is all you need to get started with us! That’s more than 3 hours of compute time on our cheapest configuration! Use code HACKERNEWS_1 on the billing page to redeem this free credit :)<p>TensorDock: <a href="https://www.tensordock.com/" rel="nofollow">https://www.tensordock.com/</a> Product page: <a href="https://www.tensordock.com/product-core" rel="nofollow">https://www.tensordock.com/product-core</a> API: <a href="https://documenter.getpostman.com/view/10732984/UVC3j7Kz" rel="nofollow">https://documenter.getpostman.com/view/10732984/UVC3j7Kz</a> Community CLI: <a href="https://github.com/caguiclajmg/tensordock-cli" rel="nofollow">https://github.com/caguiclajmg/tensordock-cli</a><p>Deploy a GPU: <a href="https://console.tensordock.com/deploy" rel="nofollow">https://console.tensordock.com/deploy</a><p>I'm here to answer your questions, so post them below! Or, email me directly at jonathan@tensordock.com :)

Show HN: TensorDock Core GPU Cloud – GPU servers from $0.29/hr

Hello HN!<p>I’m Jonathan from TensorDock. After 7 months in beta, we’re finally launching Core Cloud, our platform to deploy GPU virtual machines in as little as 45 seconds! <a href="https://www.tensordock.com/product-core" rel="nofollow">https://www.tensordock.com/product-core</a><p>Why? Training machine learning workloads at large clouds can be extremely expensive. This left us wondering, “how did cloud ever become more expensive than on-prem?” I’ve seen too many ML startups buy their own hardware. Cheaper dedicated servers with NVIDIA GPUs are not too hard to find, but they lack the functionality and scalability of the big clouds.<p>We thought to ourselves, what if we built a platform that combines the functionality of the large clouds but made it priced somewhere between a dedicated server and the large clouds? That’s exactly what we’ve done.<p>Built to make engineers more productive. We have 3 machine learning images so you can start training ML models in 2 minutes, not 2 hours. We provide a REST API, so you can integrate directly your code with ours. And, there’s a community CLI you can use to manage your servers directly via command line<p>We provide a feature set only large clouds supersede. We have storage-only billing when the VM is stopped (for only $0.073/GB/month) so that you aren't paying for compute when you don't need it. We also provide the ability to edit virtual machines after they’re created to downsize costs. If you provision a NVIDIA A6000 and find out you’re only using 50% of it, stop the VM, modify it to a NVIDIA A5000, and you’ll be billed the lower hourly rate without needing to recreate your server and migrate data over! Our infrastructure is built on 3x-replicated NVMe-based network storage, 10 Gbps networking, and 3 locations (New York, Chicago, Las Vegas) with more coming soon!<p><pre><code> - CPU-only servers from $0.027/hour - NVIDIA Quadro RTX 4000s from $0.29/hour - NVIDIA Tesla V100s from $0.52/hour - and 8 other GPU types that let you truly right-size workloads so that you’re never paying for more than you actually need </code></pre> We're starting off with $1 in free credits! Yes, we sound cheap… but $1 is all you need to get started with us! That’s more than 3 hours of compute time on our cheapest configuration! Use code HACKERNEWS_1 on the billing page to redeem this free credit :)<p>TensorDock: <a href="https://www.tensordock.com/" rel="nofollow">https://www.tensordock.com/</a> Product page: <a href="https://www.tensordock.com/product-core" rel="nofollow">https://www.tensordock.com/product-core</a> API: <a href="https://documenter.getpostman.com/view/10732984/UVC3j7Kz" rel="nofollow">https://documenter.getpostman.com/view/10732984/UVC3j7Kz</a> Community CLI: <a href="https://github.com/caguiclajmg/tensordock-cli" rel="nofollow">https://github.com/caguiclajmg/tensordock-cli</a><p>Deploy a GPU: <a href="https://console.tensordock.com/deploy" rel="nofollow">https://console.tensordock.com/deploy</a><p>I'm here to answer your questions, so post them below! Or, email me directly at jonathan@tensordock.com :)

Show HN: TensorDock Core GPU Cloud – GPU servers from $0.29/hr

Hello HN!<p>I’m Jonathan from TensorDock. After 7 months in beta, we’re finally launching Core Cloud, our platform to deploy GPU virtual machines in as little as 45 seconds! <a href="https://www.tensordock.com/product-core" rel="nofollow">https://www.tensordock.com/product-core</a><p>Why? Training machine learning workloads at large clouds can be extremely expensive. This left us wondering, “how did cloud ever become more expensive than on-prem?” I’ve seen too many ML startups buy their own hardware. Cheaper dedicated servers with NVIDIA GPUs are not too hard to find, but they lack the functionality and scalability of the big clouds.<p>We thought to ourselves, what if we built a platform that combines the functionality of the large clouds but made it priced somewhere between a dedicated server and the large clouds? That’s exactly what we’ve done.<p>Built to make engineers more productive. We have 3 machine learning images so you can start training ML models in 2 minutes, not 2 hours. We provide a REST API, so you can integrate directly your code with ours. And, there’s a community CLI you can use to manage your servers directly via command line<p>We provide a feature set only large clouds supersede. We have storage-only billing when the VM is stopped (for only $0.073/GB/month) so that you aren't paying for compute when you don't need it. We also provide the ability to edit virtual machines after they’re created to downsize costs. If you provision a NVIDIA A6000 and find out you’re only using 50% of it, stop the VM, modify it to a NVIDIA A5000, and you’ll be billed the lower hourly rate without needing to recreate your server and migrate data over! Our infrastructure is built on 3x-replicated NVMe-based network storage, 10 Gbps networking, and 3 locations (New York, Chicago, Las Vegas) with more coming soon!<p><pre><code> - CPU-only servers from $0.027/hour - NVIDIA Quadro RTX 4000s from $0.29/hour - NVIDIA Tesla V100s from $0.52/hour - and 8 other GPU types that let you truly right-size workloads so that you’re never paying for more than you actually need </code></pre> We're starting off with $1 in free credits! Yes, we sound cheap… but $1 is all you need to get started with us! That’s more than 3 hours of compute time on our cheapest configuration! Use code HACKERNEWS_1 on the billing page to redeem this free credit :)<p>TensorDock: <a href="https://www.tensordock.com/" rel="nofollow">https://www.tensordock.com/</a> Product page: <a href="https://www.tensordock.com/product-core" rel="nofollow">https://www.tensordock.com/product-core</a> API: <a href="https://documenter.getpostman.com/view/10732984/UVC3j7Kz" rel="nofollow">https://documenter.getpostman.com/view/10732984/UVC3j7Kz</a> Community CLI: <a href="https://github.com/caguiclajmg/tensordock-cli" rel="nofollow">https://github.com/caguiclajmg/tensordock-cli</a><p>Deploy a GPU: <a href="https://console.tensordock.com/deploy" rel="nofollow">https://console.tensordock.com/deploy</a><p>I'm here to answer your questions, so post them below! Or, email me directly at jonathan@tensordock.com :)

Show HN: TensorDock Core GPU Cloud – GPU servers from $0.29/hr

Hello HN!<p>I’m Jonathan from TensorDock. After 7 months in beta, we’re finally launching Core Cloud, our platform to deploy GPU virtual machines in as little as 45 seconds! <a href="https://www.tensordock.com/product-core" rel="nofollow">https://www.tensordock.com/product-core</a><p>Why? Training machine learning workloads at large clouds can be extremely expensive. This left us wondering, “how did cloud ever become more expensive than on-prem?” I’ve seen too many ML startups buy their own hardware. Cheaper dedicated servers with NVIDIA GPUs are not too hard to find, but they lack the functionality and scalability of the big clouds.<p>We thought to ourselves, what if we built a platform that combines the functionality of the large clouds but made it priced somewhere between a dedicated server and the large clouds? That’s exactly what we’ve done.<p>Built to make engineers more productive. We have 3 machine learning images so you can start training ML models in 2 minutes, not 2 hours. We provide a REST API, so you can integrate directly your code with ours. And, there’s a community CLI you can use to manage your servers directly via command line<p>We provide a feature set only large clouds supersede. We have storage-only billing when the VM is stopped (for only $0.073/GB/month) so that you aren't paying for compute when you don't need it. We also provide the ability to edit virtual machines after they’re created to downsize costs. If you provision a NVIDIA A6000 and find out you’re only using 50% of it, stop the VM, modify it to a NVIDIA A5000, and you’ll be billed the lower hourly rate without needing to recreate your server and migrate data over! Our infrastructure is built on 3x-replicated NVMe-based network storage, 10 Gbps networking, and 3 locations (New York, Chicago, Las Vegas) with more coming soon!<p><pre><code> - CPU-only servers from $0.027/hour - NVIDIA Quadro RTX 4000s from $0.29/hour - NVIDIA Tesla V100s from $0.52/hour - and 8 other GPU types that let you truly right-size workloads so that you’re never paying for more than you actually need </code></pre> We're starting off with $1 in free credits! Yes, we sound cheap… but $1 is all you need to get started with us! That’s more than 3 hours of compute time on our cheapest configuration! Use code HACKERNEWS_1 on the billing page to redeem this free credit :)<p>TensorDock: <a href="https://www.tensordock.com/" rel="nofollow">https://www.tensordock.com/</a> Product page: <a href="https://www.tensordock.com/product-core" rel="nofollow">https://www.tensordock.com/product-core</a> API: <a href="https://documenter.getpostman.com/view/10732984/UVC3j7Kz" rel="nofollow">https://documenter.getpostman.com/view/10732984/UVC3j7Kz</a> Community CLI: <a href="https://github.com/caguiclajmg/tensordock-cli" rel="nofollow">https://github.com/caguiclajmg/tensordock-cli</a><p>Deploy a GPU: <a href="https://console.tensordock.com/deploy" rel="nofollow">https://console.tensordock.com/deploy</a><p>I'm here to answer your questions, so post them below! Or, email me directly at jonathan@tensordock.com :)

Show HN: Parsnip – Duolingo for Cooking

We're building Parsnip to create a "tech tree" of cooking skills that allows anyone to level up on the building blocks of cooking knowledge while tracking their progress over time. It took us a few iterations to figure out the right product; here's the story of our latest pivot: [<a href="https://parsnip.substack.com/p/a-new-hope" rel="nofollow">https://parsnip.substack.com/p/a-new-hope</a>]<p>The goal is to create a personalized way to learn any recipe on the Internet, then use this as a springboard to help home cooks of all levels solve the problem of repeated meal planning in a 10x better way: [<a href="https://parsnip.substack.com/p/vision-part-one" rel="nofollow">https://parsnip.substack.com/p/vision-part-one</a>]<p>We believe that solving this problem at scale is good for people and for the planet [<a href="https://parsnip.substack.com/p/why-we-started-parsnip" rel="nofollow">https://parsnip.substack.com/p/why-we-started-parsnip</a>] and that now is the perfect time in history to do it: [<a href="https://parsnip.substack.com/p/why-now" rel="nofollow">https://parsnip.substack.com/p/why-now</a>].<p>Would love any suggestions, feedback, or advice; and happy to answer any questions!

Show HN: Parsnip – Duolingo for Cooking

We're building Parsnip to create a "tech tree" of cooking skills that allows anyone to level up on the building blocks of cooking knowledge while tracking their progress over time. It took us a few iterations to figure out the right product; here's the story of our latest pivot: [<a href="https://parsnip.substack.com/p/a-new-hope" rel="nofollow">https://parsnip.substack.com/p/a-new-hope</a>]<p>The goal is to create a personalized way to learn any recipe on the Internet, then use this as a springboard to help home cooks of all levels solve the problem of repeated meal planning in a 10x better way: [<a href="https://parsnip.substack.com/p/vision-part-one" rel="nofollow">https://parsnip.substack.com/p/vision-part-one</a>]<p>We believe that solving this problem at scale is good for people and for the planet [<a href="https://parsnip.substack.com/p/why-we-started-parsnip" rel="nofollow">https://parsnip.substack.com/p/why-we-started-parsnip</a>] and that now is the perfect time in history to do it: [<a href="https://parsnip.substack.com/p/why-now" rel="nofollow">https://parsnip.substack.com/p/why-now</a>].<p>Would love any suggestions, feedback, or advice; and happy to answer any questions!