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Show HN: Stack-chan – Open-source companion robot easy to assemble and customize

Introducing Stack-chan, an open-source hardware robot designed with Fusion360 and Kicad that is easy to assemble and customize. With just 6 screws, you can easily put together the robot and add your own features using JavaScript with the Moddable SDK. Stack-chan is completely open-source and the design files, firmware and software are all available on GitHub repository (<a href="https://github.com/meganetaaan/stack-chan">https://github.com/meganetaaan/stack-chan</a>) . Give it a try and customize it to your needs. We'd love to see what you create and hear your feedback on this open-source project.

Show HN: Codeium: Free Copilot Alternative for Vim / Neovim

I'm Varun from the Codeium team. After support for VSCode, Jetbrains, Jupyter, and Colab, we are super excited to bring free AI-powered code autocomplete to Vim and Neovim.<p>And in the spirit of Show HN, we have a playground version for anyone to try the tech in the browser without any installation (<a href="https://www.codeium.com/playground" rel="nofollow">https://www.codeium.com/playground</a>)! We also made the vim client open source and are open to contributions.

Show HN: Codeium: Free Copilot Alternative for Vim / Neovim

I'm Varun from the Codeium team. After support for VSCode, Jetbrains, Jupyter, and Colab, we are super excited to bring free AI-powered code autocomplete to Vim and Neovim.<p>And in the spirit of Show HN, we have a playground version for anyone to try the tech in the browser without any installation (<a href="https://www.codeium.com/playground" rel="nofollow">https://www.codeium.com/playground</a>)! We also made the vim client open source and are open to contributions.

Show HN: Summate.it – Quickly summarize web articles with OpenAI

Show HN: Summate.it – Quickly summarize web articles with OpenAI

Show HN: Unblob – extraction suite for 30+ file formats

Show HN: Unblob – extraction suite for 30+ file formats

Show HN: Unblob – extraction suite for 30+ file formats

Show HN: Unblob – extraction suite for 30+ file formats

Show HN: Unblob – extraction suite for 30+ file formats

Show HN: Cosh – concatenative command-line shell

Show HN: Cosh – concatenative command-line shell

Show HN: Cosh – concatenative command-line shell

Show HN: Cosh – concatenative command-line shell

Show HN: Anonymous Feedback Tool for Teams

Hey there!<p>Signals is a survey system that collects feedback from staff (mostly) but also clients and stakeholders in a business. It does this via SMS on a weekly schedule (the cadence can be changed but it works best when done weekly).<p>My co-founder and I started working on this nearly a year ago, having run similar small builds for over four years. This time we’ve tried to do it properly. The execution is relatively simple - similar to an eNPS (Net Promoter Score - a common way of measuring how consumers like your product or service), but we wanted a way to anonymously pass candid feedback from employees to managers and executives about their workplace experience, their jobs, new ideas... anything. And for it to be regular and easy to do.<p>We maintain the anonymity of the staff member (and let them know how many people are in the team receiving the question being asked, so they understand their level of safety). We show the team leads and managers a sentiment score and verbatim comments), but we do not associate the respondent details with those in the backend. This is somewhat different to currently existing tools that tend to use the term ‘confidential’, which means you're not anonymous if the admin permissions are high enough. Even those systems which claim to be anonymous can often have ways of twisting the data to unmask the users.<p>One of our team is working on natural language processing to understand, summarise and report on sentiment, comment themes and trends. We’re making it easy to add AMAs, poll clients and partner businesses, and we’re experimenting with sports organisations, unions, and within schools and education.<p>It runs over SMS (the highest response rate of any method we tested). Unfortunately, it does need a signup and confirmation (apologies) to try, but it’s free to test, and there’s no credit card required. Unfortunately, we only support the US, Canada, Australia and the U.K. at the moment but are looking to expand support as soon as possible.<p>We have only really been live for eight weeks now. We would love any feedback you have for us and hope you find it useful! You can email us at hello@runsignals.com if you have feedback or want to chat.

Show HN: A tool for motion-capturing 3D characters using a VR headset

Hi everyone! I'm one of the authors of this project. The demo you see here is powered by a tool that I recently helped develop and open-source at Shopify called handy. You can find the repo here: <a href="https://github.com/Shopify/handy">https://github.com/Shopify/handy</a><p>Most people don't realize that VR headsets have become really capable motion capture platforms, so we decided to release this tool to bring motion capture into the hands of everyone who owns a headset.<p>With a cheap Quest 2 you can capture your hands using the headset's hand-tracking feature and your head. With an expensive Quest Pro you could capture your facial expressions using the headset's eye and face-tracking features.<p>Thanks for checking this project out! I'm here to answer questions if you have any.

Show HN: A tool for motion-capturing 3D characters using a VR headset

Hi everyone! I'm one of the authors of this project. The demo you see here is powered by a tool that I recently helped develop and open-source at Shopify called handy. You can find the repo here: <a href="https://github.com/Shopify/handy">https://github.com/Shopify/handy</a><p>Most people don't realize that VR headsets have become really capable motion capture platforms, so we decided to release this tool to bring motion capture into the hands of everyone who owns a headset.<p>With a cheap Quest 2 you can capture your hands using the headset's hand-tracking feature and your head. With an expensive Quest Pro you could capture your facial expressions using the headset's eye and face-tracking features.<p>Thanks for checking this project out! I'm here to answer questions if you have any.

Show HN: A tool for motion-capturing 3D characters using a VR headset

Hi everyone! I'm one of the authors of this project. The demo you see here is powered by a tool that I recently helped develop and open-source at Shopify called handy. You can find the repo here: <a href="https://github.com/Shopify/handy">https://github.com/Shopify/handy</a><p>Most people don't realize that VR headsets have become really capable motion capture platforms, so we decided to release this tool to bring motion capture into the hands of everyone who owns a headset.<p>With a cheap Quest 2 you can capture your hands using the headset's hand-tracking feature and your head. With an expensive Quest Pro you could capture your facial expressions using the headset's eye and face-tracking features.<p>Thanks for checking this project out! I'm here to answer questions if you have any.

Show HN: Otterkit – COBOL compiler for .NET

I'm the lead developer of Otterkit. We've been working on this compiler for the past few months. The goal is to support the latest COBOL 2022 standard and compile it to C# (will support nativeAOT as well)<p>Currently most of the work is being done on the parsing side of it to ensure that it can correctly parse all of the 2022 standard. We're almost done writing the parser, and will soon move to the codegen and runtime library.<p>Please let me know what your opinion is on the project. I'll be here to answer any questions about it.<p>We're also looking for contributors if anyone is interested in helping the project grow into a production ready compiler.

Show HN: Otterkit – COBOL compiler for .NET

I'm the lead developer of Otterkit. We've been working on this compiler for the past few months. The goal is to support the latest COBOL 2022 standard and compile it to C# (will support nativeAOT as well)<p>Currently most of the work is being done on the parsing side of it to ensure that it can correctly parse all of the 2022 standard. We're almost done writing the parser, and will soon move to the codegen and runtime library.<p>Please let me know what your opinion is on the project. I'll be here to answer any questions about it.<p>We're also looking for contributors if anyone is interested in helping the project grow into a production ready compiler.

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