The best Hacker News stories from Show from the past day
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Show HN: Search HN Favorites or Export to CSV/HTML
I wrote a JavaScript tool to search your HN favorites and export them to CSV or HTML.
The JavaScript runs in your browser like a browser extension. It scrapes the HTML and navigates from page to page.<p>Setup and usage instructions are in the file.
Show HN: Search HN Favorites or Export to CSV/HTML
I wrote a JavaScript tool to search your HN favorites and export them to CSV or HTML.
The JavaScript runs in your browser like a browser extension. It scrapes the HTML and navigates from page to page.<p>Setup and usage instructions are in the file.
Show HN: Search HN Favorites or Export to CSV/HTML
I wrote a JavaScript tool to search your HN favorites and export them to CSV or HTML.
The JavaScript runs in your browser like a browser extension. It scrapes the HTML and navigates from page to page.<p>Setup and usage instructions are in the file.
Show HN: Search HN Favorites or Export to CSV/HTML
I wrote a JavaScript tool to search your HN favorites and export them to CSV or HTML.
The JavaScript runs in your browser like a browser extension. It scrapes the HTML and navigates from page to page.<p>Setup and usage instructions are in the file.
Show HN: My bookmarks of HN and who I'm following
Show HN: My bookmarks of HN and who I'm following
Hacker News Insight
Show HN: Create a Children's book with AI – with illustrations
Hey together with wife we took part in AssemblyAI hackathon and although we didn't win we felt good enough about our inital MVP that we took it a bit further.<p>You can describe your characters and give a title and however long/detailed description you want, the gpt-3 will generate a children's story from it, dall-e will generate images. Images are postprocessed with stable-diffusion custom model (for stylisation) and that's the final result.<p>It's still early as it was done in about 2 weeks, but I count on your feedback.<p>I am software engineer and did basically all of the engineering work myself.<p>Feel free to ask question regarding implementation plans, etc. cannot wait to learn what you think. I'll appriciate any feedback.
Show HN: CAD model of the saturn V rocket on the 55th anniversary of Apollo 8
Today is the 55th anniversary of Apollo 8. I figured it would be fun to make a CAD model with a space for a model rocket engine and also as an augmented reality model. The tutorial is for Fusion360 but the steps can be adapted to most CAD programs. I would love to know what you all think!
Show HN: CAD model of the saturn V rocket on the 55th anniversary of Apollo 8
Today is the 55th anniversary of Apollo 8. I figured it would be fun to make a CAD model with a space for a model rocket engine and also as an augmented reality model. The tutorial is for Fusion360 but the steps can be adapted to most CAD programs. I would love to know what you all think!
Show HN: Metriport – Open-source universal API for health data
Hey HN, we’re Colin and Dima, founders of Metriport (<a href="https://metriport.com/">https://metriport.com/</a>). We help digital health companies access and manage user health and medical data, through an open-source and universal API. Today we're launching our open-source Health Devices API, which allows companies to gain access to their users’ health data from various wearables, RPM devices, and mHealth apps. You can check out the public Github repo here: <a href="https://github.com/metriport/metriport">https://github.com/metriport/metriport</a><p>For developers in the health data space, building integrations to various data sources is a huge pain, as it means wrangling different data formats, gaining access to the APIs in the first place, and ultimately spending precious developer resources building out data pipelines. We solve this pain for you through our open-source API, which is quick and easy to get started with (see: <a href="https://docs.metriport.com/getting-started/connect-quickstart">https://docs.metriport.com/getting-started/connect-quickstar...</a>).<p>Out of the box, our Health Devices API supports integrations with Fitbit, Oura, Whoop, Withings, and Cronometer. We plan to add many more, including Garmin, Apple Health, and Google Fit in the near term. We work closely with our customers, so if there’s an integration you need, we’re more than happy to build it into our API. Because we’re open-source, you can also fork our code and build your own custom integrations.<p>Getting started is simple. To start getting data from your users:<p>1) Create a developer account and generate an API key: <a href="https://dash.metriport.com/">https://dash.metriport.com/</a><p>2) Set up our client on your server and initialize it with your API key: <a href="https://docs.metriport.com/getting-started/connect-quickstart#3-setup-the-metriport-client-on-your-server">https://docs.metriport.com/getting-started/connect-quickstar...</a><p>3) Link the Metriport Connect widget into your app. This pre-built widget makes it easy for your users to connect all their data sources into your application.<p>Now you’re ready to start accessing your users’ health data from their sources they’ve connected.<p>We also offer a hosted SaaS solution with usage-based pricing, with no minimum platform fees. We believe this will open doors to a wide range of early stage companies and help drive innovation in the digital health industry.<p>While we’re excited to be launching this product today and be the first open-source Health Devices API of its kind, we’re also really looking forward to sharing our Medical API with you in the coming months. You can find out more about that here: <a href="https://metriport.com/medical">https://metriport.com/medical</a><p>We can’t wait to see how this API is used and what it helps companies develop. Please don’t hesitate to reach out if you have any questions, and happy developing!
Show HN: Metriport – Open-source universal API for health data
Hey HN, we’re Colin and Dima, founders of Metriport (<a href="https://metriport.com/">https://metriport.com/</a>). We help digital health companies access and manage user health and medical data, through an open-source and universal API. Today we're launching our open-source Health Devices API, which allows companies to gain access to their users’ health data from various wearables, RPM devices, and mHealth apps. You can check out the public Github repo here: <a href="https://github.com/metriport/metriport">https://github.com/metriport/metriport</a><p>For developers in the health data space, building integrations to various data sources is a huge pain, as it means wrangling different data formats, gaining access to the APIs in the first place, and ultimately spending precious developer resources building out data pipelines. We solve this pain for you through our open-source API, which is quick and easy to get started with (see: <a href="https://docs.metriport.com/getting-started/connect-quickstart">https://docs.metriport.com/getting-started/connect-quickstar...</a>).<p>Out of the box, our Health Devices API supports integrations with Fitbit, Oura, Whoop, Withings, and Cronometer. We plan to add many more, including Garmin, Apple Health, and Google Fit in the near term. We work closely with our customers, so if there’s an integration you need, we’re more than happy to build it into our API. Because we’re open-source, you can also fork our code and build your own custom integrations.<p>Getting started is simple. To start getting data from your users:<p>1) Create a developer account and generate an API key: <a href="https://dash.metriport.com/">https://dash.metriport.com/</a><p>2) Set up our client on your server and initialize it with your API key: <a href="https://docs.metriport.com/getting-started/connect-quickstart#3-setup-the-metriport-client-on-your-server">https://docs.metriport.com/getting-started/connect-quickstar...</a><p>3) Link the Metriport Connect widget into your app. This pre-built widget makes it easy for your users to connect all their data sources into your application.<p>Now you’re ready to start accessing your users’ health data from their sources they’ve connected.<p>We also offer a hosted SaaS solution with usage-based pricing, with no minimum platform fees. We believe this will open doors to a wide range of early stage companies and help drive innovation in the digital health industry.<p>While we’re excited to be launching this product today and be the first open-source Health Devices API of its kind, we’re also really looking forward to sharing our Medical API with you in the coming months. You can find out more about that here: <a href="https://metriport.com/medical">https://metriport.com/medical</a><p>We can’t wait to see how this API is used and what it helps companies develop. Please don’t hesitate to reach out if you have any questions, and happy developing!
Show HN: Metriport – Open-source universal API for health data
Hey HN, we’re Colin and Dima, founders of Metriport (<a href="https://metriport.com/">https://metriport.com/</a>). We help digital health companies access and manage user health and medical data, through an open-source and universal API. Today we're launching our open-source Health Devices API, which allows companies to gain access to their users’ health data from various wearables, RPM devices, and mHealth apps. You can check out the public Github repo here: <a href="https://github.com/metriport/metriport">https://github.com/metriport/metriport</a><p>For developers in the health data space, building integrations to various data sources is a huge pain, as it means wrangling different data formats, gaining access to the APIs in the first place, and ultimately spending precious developer resources building out data pipelines. We solve this pain for you through our open-source API, which is quick and easy to get started with (see: <a href="https://docs.metriport.com/getting-started/connect-quickstart">https://docs.metriport.com/getting-started/connect-quickstar...</a>).<p>Out of the box, our Health Devices API supports integrations with Fitbit, Oura, Whoop, Withings, and Cronometer. We plan to add many more, including Garmin, Apple Health, and Google Fit in the near term. We work closely with our customers, so if there’s an integration you need, we’re more than happy to build it into our API. Because we’re open-source, you can also fork our code and build your own custom integrations.<p>Getting started is simple. To start getting data from your users:<p>1) Create a developer account and generate an API key: <a href="https://dash.metriport.com/">https://dash.metriport.com/</a><p>2) Set up our client on your server and initialize it with your API key: <a href="https://docs.metriport.com/getting-started/connect-quickstart#3-setup-the-metriport-client-on-your-server">https://docs.metriport.com/getting-started/connect-quickstar...</a><p>3) Link the Metriport Connect widget into your app. This pre-built widget makes it easy for your users to connect all their data sources into your application.<p>Now you’re ready to start accessing your users’ health data from their sources they’ve connected.<p>We also offer a hosted SaaS solution with usage-based pricing, with no minimum platform fees. We believe this will open doors to a wide range of early stage companies and help drive innovation in the digital health industry.<p>While we’re excited to be launching this product today and be the first open-source Health Devices API of its kind, we’re also really looking forward to sharing our Medical API with you in the coming months. You can find out more about that here: <a href="https://metriport.com/medical">https://metriport.com/medical</a><p>We can’t wait to see how this API is used and what it helps companies develop. Please don’t hesitate to reach out if you have any questions, and happy developing!
Show HN: Metriport – Open-source universal API for health data
Hey HN, we’re Colin and Dima, founders of Metriport (<a href="https://metriport.com/">https://metriport.com/</a>). We help digital health companies access and manage user health and medical data, through an open-source and universal API. Today we're launching our open-source Health Devices API, which allows companies to gain access to their users’ health data from various wearables, RPM devices, and mHealth apps. You can check out the public Github repo here: <a href="https://github.com/metriport/metriport">https://github.com/metriport/metriport</a><p>For developers in the health data space, building integrations to various data sources is a huge pain, as it means wrangling different data formats, gaining access to the APIs in the first place, and ultimately spending precious developer resources building out data pipelines. We solve this pain for you through our open-source API, which is quick and easy to get started with (see: <a href="https://docs.metriport.com/getting-started/connect-quickstart">https://docs.metriport.com/getting-started/connect-quickstar...</a>).<p>Out of the box, our Health Devices API supports integrations with Fitbit, Oura, Whoop, Withings, and Cronometer. We plan to add many more, including Garmin, Apple Health, and Google Fit in the near term. We work closely with our customers, so if there’s an integration you need, we’re more than happy to build it into our API. Because we’re open-source, you can also fork our code and build your own custom integrations.<p>Getting started is simple. To start getting data from your users:<p>1) Create a developer account and generate an API key: <a href="https://dash.metriport.com/">https://dash.metriport.com/</a><p>2) Set up our client on your server and initialize it with your API key: <a href="https://docs.metriport.com/getting-started/connect-quickstart#3-setup-the-metriport-client-on-your-server">https://docs.metriport.com/getting-started/connect-quickstar...</a><p>3) Link the Metriport Connect widget into your app. This pre-built widget makes it easy for your users to connect all their data sources into your application.<p>Now you’re ready to start accessing your users’ health data from their sources they’ve connected.<p>We also offer a hosted SaaS solution with usage-based pricing, with no minimum platform fees. We believe this will open doors to a wide range of early stage companies and help drive innovation in the digital health industry.<p>While we’re excited to be launching this product today and be the first open-source Health Devices API of its kind, we’re also really looking forward to sharing our Medical API with you in the coming months. You can find out more about that here: <a href="https://metriport.com/medical">https://metriport.com/medical</a><p>We can’t wait to see how this API is used and what it helps companies develop. Please don’t hesitate to reach out if you have any questions, and happy developing!
Show HN: How to use ChatGPT+ARKit to script experiences with natural language
Video demonstration: <a href="https://youtu.be/bJFa5HOmhl4" rel="nofollow">https://youtu.be/bJFa5HOmhl4</a><p>I created a demo involving ChatGPT, OpenAI's Whisper running on-device for speech-to-text (because why not?), and ARKit. By defining a custom JavaScript environment with JavaScriptCore and describing it to ChatGPT, I was able to get it to produce functioning scripts that instantiate and manipulate 3D objects.<p>Sketchfab is used to import 3D assets on the fly. Google Poly had a much better catalog of assets for this sort of thing but sadly, it's no longer available.<p>The README.md describes how it all works but the gist of it is that user prompts are wrapped in a larger prompt that describes the environment (i.e., which functions are available to use and how they work) and constraints. The code is then executed directly. Assets for objects are fetched as needed by searching Sketchfab.
Show HN: How to use ChatGPT+ARKit to script experiences with natural language
Video demonstration: <a href="https://youtu.be/bJFa5HOmhl4" rel="nofollow">https://youtu.be/bJFa5HOmhl4</a><p>I created a demo involving ChatGPT, OpenAI's Whisper running on-device for speech-to-text (because why not?), and ARKit. By defining a custom JavaScript environment with JavaScriptCore and describing it to ChatGPT, I was able to get it to produce functioning scripts that instantiate and manipulate 3D objects.<p>Sketchfab is used to import 3D assets on the fly. Google Poly had a much better catalog of assets for this sort of thing but sadly, it's no longer available.<p>The README.md describes how it all works but the gist of it is that user prompts are wrapped in a larger prompt that describes the environment (i.e., which functions are available to use and how they work) and constraints. The code is then executed directly. Assets for objects are fetched as needed by searching Sketchfab.
Show HN: How to use ChatGPT+ARKit to script experiences with natural language
Video demonstration: <a href="https://youtu.be/bJFa5HOmhl4" rel="nofollow">https://youtu.be/bJFa5HOmhl4</a><p>I created a demo involving ChatGPT, OpenAI's Whisper running on-device for speech-to-text (because why not?), and ARKit. By defining a custom JavaScript environment with JavaScriptCore and describing it to ChatGPT, I was able to get it to produce functioning scripts that instantiate and manipulate 3D objects.<p>Sketchfab is used to import 3D assets on the fly. Google Poly had a much better catalog of assets for this sort of thing but sadly, it's no longer available.<p>The README.md describes how it all works but the gist of it is that user prompts are wrapped in a larger prompt that describes the environment (i.e., which functions are available to use and how they work) and constraints. The code is then executed directly. Assets for objects are fetched as needed by searching Sketchfab.
Show HN: How to use ChatGPT+ARKit to script experiences with natural language
Video demonstration: <a href="https://youtu.be/bJFa5HOmhl4" rel="nofollow">https://youtu.be/bJFa5HOmhl4</a><p>I created a demo involving ChatGPT, OpenAI's Whisper running on-device for speech-to-text (because why not?), and ARKit. By defining a custom JavaScript environment with JavaScriptCore and describing it to ChatGPT, I was able to get it to produce functioning scripts that instantiate and manipulate 3D objects.<p>Sketchfab is used to import 3D assets on the fly. Google Poly had a much better catalog of assets for this sort of thing but sadly, it's no longer available.<p>The README.md describes how it all works but the gist of it is that user prompts are wrapped in a larger prompt that describes the environment (i.e., which functions are available to use and how they work) and constraints. The code is then executed directly. Assets for objects are fetched as needed by searching Sketchfab.
Show HN: There's an AI for That
Show HN: There's an AI for That