The best Hacker News stories from Show from the past day
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Show HN: LearnLingo – Converse with an AI-powered language tutor
Hey folks! I'm Callum, and I'm working on a way to practice a new language with an AI powered tutor.<p>I've always found that the hardest part of learning a new language is finding someone to actually converse with. Even if a partner can be found, the pressure can mean that you are more focused on not making mistakes than on actually learning new grammar or vocabulary.<p>The service that I have been working on allows you to practice with a language tutor via online chat messages, or you can have a turn-based voice conversation.<p>I'm working on a number of other features that will be coming out shortly, including a few games for practising pronunciation and listening skills, as well as a plan to release some lesson plans for specific languages later on.<p>Have a try, and let me know if you have any feedback!
Show HN: LearnLingo – Converse with an AI-powered language tutor
Hey folks! I'm Callum, and I'm working on a way to practice a new language with an AI powered tutor.<p>I've always found that the hardest part of learning a new language is finding someone to actually converse with. Even if a partner can be found, the pressure can mean that you are more focused on not making mistakes than on actually learning new grammar or vocabulary.<p>The service that I have been working on allows you to practice with a language tutor via online chat messages, or you can have a turn-based voice conversation.<p>I'm working on a number of other features that will be coming out shortly, including a few games for practising pronunciation and listening skills, as well as a plan to release some lesson plans for specific languages later on.<p>Have a try, and let me know if you have any feedback!
Show HN: LearnLingo – Converse with an AI-powered language tutor
Hey folks! I'm Callum, and I'm working on a way to practice a new language with an AI powered tutor.<p>I've always found that the hardest part of learning a new language is finding someone to actually converse with. Even if a partner can be found, the pressure can mean that you are more focused on not making mistakes than on actually learning new grammar or vocabulary.<p>The service that I have been working on allows you to practice with a language tutor via online chat messages, or you can have a turn-based voice conversation.<p>I'm working on a number of other features that will be coming out shortly, including a few games for practising pronunciation and listening skills, as well as a plan to release some lesson plans for specific languages later on.<p>Have a try, and let me know if you have any feedback!
Show HN: LearnLingo – Converse with an AI-powered language tutor
Hey folks! I'm Callum, and I'm working on a way to practice a new language with an AI powered tutor.<p>I've always found that the hardest part of learning a new language is finding someone to actually converse with. Even if a partner can be found, the pressure can mean that you are more focused on not making mistakes than on actually learning new grammar or vocabulary.<p>The service that I have been working on allows you to practice with a language tutor via online chat messages, or you can have a turn-based voice conversation.<p>I'm working on a number of other features that will be coming out shortly, including a few games for practising pronunciation and listening skills, as well as a plan to release some lesson plans for specific languages later on.<p>Have a try, and let me know if you have any feedback!
Show HN: LearnLingo – Converse with an AI-powered language tutor
Hey folks! I'm Callum, and I'm working on a way to practice a new language with an AI powered tutor.<p>I've always found that the hardest part of learning a new language is finding someone to actually converse with. Even if a partner can be found, the pressure can mean that you are more focused on not making mistakes than on actually learning new grammar or vocabulary.<p>The service that I have been working on allows you to practice with a language tutor via online chat messages, or you can have a turn-based voice conversation.<p>I'm working on a number of other features that will be coming out shortly, including a few games for practising pronunciation and listening skills, as well as a plan to release some lesson plans for specific languages later on.<p>Have a try, and let me know if you have any feedback!
Show HN: LearnLingo – Converse with an AI-powered language tutor
Hey folks! I'm Callum, and I'm working on a way to practice a new language with an AI powered tutor.<p>I've always found that the hardest part of learning a new language is finding someone to actually converse with. Even if a partner can be found, the pressure can mean that you are more focused on not making mistakes than on actually learning new grammar or vocabulary.<p>The service that I have been working on allows you to practice with a language tutor via online chat messages, or you can have a turn-based voice conversation.<p>I'm working on a number of other features that will be coming out shortly, including a few games for practising pronunciation and listening skills, as well as a plan to release some lesson plans for specific languages later on.<p>Have a try, and let me know if you have any feedback!
Show HN: Linkwarden – An open source collaborative bookmark manager
Hey there HN!
Meet Linkwarden, a fully self-hostable, open-source collaborative bookmark manager to collect, organize and archive webpages.<p>Please also visit/star our GitHub repo [1].<p>Linkwarden was built using TypeScript and NextJS, backed by a PostgreSQL database for the lighter-weight data. The rest of the data can be chosen either to be stored on the filesystem, or stored on the cloud on Digital Ocean Space/AWS S3, the reason for the cloud storage solution was for the Cloud offering [2], we realized that the preserved webpages (archives) take up space pretty quickly and S3 was much more efficient for this task. On the front-end we used TailwindCSS for styling and Zustand for state management.<p>You could either use our Cloud offering (with 14-day free trial) to directly support this project and experience Linkwarden, or you could self-host it on your own machine and have maximum flexibility.<p>Feel free if you had any questions, we'll do our best to answer it.<p>[1]: <a href="https://github.com/linkwarden/linkwarden">https://github.com/linkwarden/linkwarden</a><p>[2]: <a href="https://cloud.linkwarden.app/register" rel="nofollow noreferrer">https://cloud.linkwarden.app/register</a> - Hosted in Digital Ocean's datacenter located here in Toronto, ON.
Show HN: Linkwarden – An open source collaborative bookmark manager
Hey there HN!
Meet Linkwarden, a fully self-hostable, open-source collaborative bookmark manager to collect, organize and archive webpages.<p>Please also visit/star our GitHub repo [1].<p>Linkwarden was built using TypeScript and NextJS, backed by a PostgreSQL database for the lighter-weight data. The rest of the data can be chosen either to be stored on the filesystem, or stored on the cloud on Digital Ocean Space/AWS S3, the reason for the cloud storage solution was for the Cloud offering [2], we realized that the preserved webpages (archives) take up space pretty quickly and S3 was much more efficient for this task. On the front-end we used TailwindCSS for styling and Zustand for state management.<p>You could either use our Cloud offering (with 14-day free trial) to directly support this project and experience Linkwarden, or you could self-host it on your own machine and have maximum flexibility.<p>Feel free if you had any questions, we'll do our best to answer it.<p>[1]: <a href="https://github.com/linkwarden/linkwarden">https://github.com/linkwarden/linkwarden</a><p>[2]: <a href="https://cloud.linkwarden.app/register" rel="nofollow noreferrer">https://cloud.linkwarden.app/register</a> - Hosted in Digital Ocean's datacenter located here in Toronto, ON.
Show HN: Markwhen: Markdown for Timelines
I've been working on markwhen for a bit as a way to create timelines and calendars from plain text, like markdown.<p>I personally like tools that let you immediately start using them, and I set out to do that here with markwhen.<p>Let me know if you have any questions or feedback!
Show HN: Markwhen: Markdown for Timelines
I've been working on markwhen for a bit as a way to create timelines and calendars from plain text, like markdown.<p>I personally like tools that let you immediately start using them, and I set out to do that here with markwhen.<p>Let me know if you have any questions or feedback!
Show HN: Markwhen: Markdown for Timelines
I've been working on markwhen for a bit as a way to create timelines and calendars from plain text, like markdown.<p>I personally like tools that let you immediately start using them, and I set out to do that here with markwhen.<p>Let me know if you have any questions or feedback!
Show HN: Single-Instruction (Subleq) Programming Game
Show HN: Single-Instruction (Subleq) Programming Game
Show HN: Pyflo – a free, interactive guide to learning Python
TL;DR: <a href="https://pyflo.net" rel="nofollow noreferrer">https://pyflo.net</a> is a free, interactive guide to learning Python<p>Hi Everyone, I am a CS educator who has taught a variety of university courses, including many on introductory Python programming. Over the past few years, I've written down a number of Python programming lessons and has culminated into Pyflo.net. This tool is a completely free, introductory guide to learning Python. It is more-or-less an intro programming textbook, but with a few twists, including:<p>* It is totally free. You don't even have to give me your email to use it<p>* The lessons are short and modularized<p>* It's interactive, containing embedded questions that provide instant feedback throughout.<p>My hope is that this can be a useful resource for those looking to learn Python. Feel free to use yourself, or share with those you think would be interested.<p>Feedback is very much welcome and appreciated.
Show HN: Pyflo – a free, interactive guide to learning Python
TL;DR: <a href="https://pyflo.net" rel="nofollow noreferrer">https://pyflo.net</a> is a free, interactive guide to learning Python<p>Hi Everyone, I am a CS educator who has taught a variety of university courses, including many on introductory Python programming. Over the past few years, I've written down a number of Python programming lessons and has culminated into Pyflo.net. This tool is a completely free, introductory guide to learning Python. It is more-or-less an intro programming textbook, but with a few twists, including:<p>* It is totally free. You don't even have to give me your email to use it<p>* The lessons are short and modularized<p>* It's interactive, containing embedded questions that provide instant feedback throughout.<p>My hope is that this can be a useful resource for those looking to learn Python. Feel free to use yourself, or share with those you think would be interested.<p>Feedback is very much welcome and appreciated.
Show HN: Pyflo – a free, interactive guide to learning Python
TL;DR: <a href="https://pyflo.net" rel="nofollow noreferrer">https://pyflo.net</a> is a free, interactive guide to learning Python<p>Hi Everyone, I am a CS educator who has taught a variety of university courses, including many on introductory Python programming. Over the past few years, I've written down a number of Python programming lessons and has culminated into Pyflo.net. This tool is a completely free, introductory guide to learning Python. It is more-or-less an intro programming textbook, but with a few twists, including:<p>* It is totally free. You don't even have to give me your email to use it<p>* The lessons are short and modularized<p>* It's interactive, containing embedded questions that provide instant feedback throughout.<p>My hope is that this can be a useful resource for those looking to learn Python. Feel free to use yourself, or share with those you think would be interested.<p>Feedback is very much welcome and appreciated.
Show HN: Khoj – Chat offline with your second brain using Llama 2
Hi folks, we're Debanjum and Saba. We created Khoj as a hobby project 2+ years ago because: (1) Search on the desktop sucked; we just had keyword search on the desktop vs google for the internet; and (2) Natural language search models had become good and easy to run on consumer hardware by this point.<p>Once we made Khoj search incremental, I completely stopped using the default incremental search (C-s) in Emacs. Since then Khoj has grown to support more content types, deeper integrations and chat (using ChatGPT). With Llama 2 released last week, chat models are finally good and easy enough to use on consumer hardware for the chat with docs scenario.<p>Khoj is a desktop application to search and chat with your personal notes, documents and images. It is accessible from within Emacs, Obsidian or your Web browser. It works with org-mode, markdown, pdf, jpeg files and notion, github repositories. It is open-source and can work without internet access (e.g on a plane).<p>Our chat feature allows you to extract answers and create content from your existing knowledge base. Example: <i>"What was that book Trillian mentioned at Zaphod's birthday last week"</i>. We personally use the chat feature regularly to find links, names and addresses (especially on mobile) and collate content across multiple, messy notes. It works online or offline: you can chat without internet using Llama 2 or with internet using GPT3.5+ depending on your requirements.<p>Our search feature lets you quickly find relevant notes, documents or images using natural language. It does not use the internet. Example: Search for <i>"bought flowers at grocery store"</i> will find notes about <i>"roses at wholefoods"</i>.<p>Quickstart:<p><pre><code> pip install khoj-assistant && khoj
</code></pre>
See <a href="https://docs.khoj.dev/#/setup">https://docs.khoj.dev/#/setup</a> for detailed instructions<p>We also have desktop apps (in beta) at <a href="https://github.com/khoj-ai/khoj/releases/tag/0.10.0">https://github.com/khoj-ai/khoj/releases/tag/0.10.0</a> if you want to try them out.<p>Please do try out Khoj and let us know if it works for your use cases? <i>Looking forward to the feedback!</i>
Show HN: Khoj – Chat offline with your second brain using Llama 2
Hi folks, we're Debanjum and Saba. We created Khoj as a hobby project 2+ years ago because: (1) Search on the desktop sucked; we just had keyword search on the desktop vs google for the internet; and (2) Natural language search models had become good and easy to run on consumer hardware by this point.<p>Once we made Khoj search incremental, I completely stopped using the default incremental search (C-s) in Emacs. Since then Khoj has grown to support more content types, deeper integrations and chat (using ChatGPT). With Llama 2 released last week, chat models are finally good and easy enough to use on consumer hardware for the chat with docs scenario.<p>Khoj is a desktop application to search and chat with your personal notes, documents and images. It is accessible from within Emacs, Obsidian or your Web browser. It works with org-mode, markdown, pdf, jpeg files and notion, github repositories. It is open-source and can work without internet access (e.g on a plane).<p>Our chat feature allows you to extract answers and create content from your existing knowledge base. Example: <i>"What was that book Trillian mentioned at Zaphod's birthday last week"</i>. We personally use the chat feature regularly to find links, names and addresses (especially on mobile) and collate content across multiple, messy notes. It works online or offline: you can chat without internet using Llama 2 or with internet using GPT3.5+ depending on your requirements.<p>Our search feature lets you quickly find relevant notes, documents or images using natural language. It does not use the internet. Example: Search for <i>"bought flowers at grocery store"</i> will find notes about <i>"roses at wholefoods"</i>.<p>Quickstart:<p><pre><code> pip install khoj-assistant && khoj
</code></pre>
See <a href="https://docs.khoj.dev/#/setup">https://docs.khoj.dev/#/setup</a> for detailed instructions<p>We also have desktop apps (in beta) at <a href="https://github.com/khoj-ai/khoj/releases/tag/0.10.0">https://github.com/khoj-ai/khoj/releases/tag/0.10.0</a> if you want to try them out.<p>Please do try out Khoj and let us know if it works for your use cases? <i>Looking forward to the feedback!</i>
Show HN: Khoj – Chat offline with your second brain using Llama 2
Hi folks, we're Debanjum and Saba. We created Khoj as a hobby project 2+ years ago because: (1) Search on the desktop sucked; we just had keyword search on the desktop vs google for the internet; and (2) Natural language search models had become good and easy to run on consumer hardware by this point.<p>Once we made Khoj search incremental, I completely stopped using the default incremental search (C-s) in Emacs. Since then Khoj has grown to support more content types, deeper integrations and chat (using ChatGPT). With Llama 2 released last week, chat models are finally good and easy enough to use on consumer hardware for the chat with docs scenario.<p>Khoj is a desktop application to search and chat with your personal notes, documents and images. It is accessible from within Emacs, Obsidian or your Web browser. It works with org-mode, markdown, pdf, jpeg files and notion, github repositories. It is open-source and can work without internet access (e.g on a plane).<p>Our chat feature allows you to extract answers and create content from your existing knowledge base. Example: <i>"What was that book Trillian mentioned at Zaphod's birthday last week"</i>. We personally use the chat feature regularly to find links, names and addresses (especially on mobile) and collate content across multiple, messy notes. It works online or offline: you can chat without internet using Llama 2 or with internet using GPT3.5+ depending on your requirements.<p>Our search feature lets you quickly find relevant notes, documents or images using natural language. It does not use the internet. Example: Search for <i>"bought flowers at grocery store"</i> will find notes about <i>"roses at wholefoods"</i>.<p>Quickstart:<p><pre><code> pip install khoj-assistant && khoj
</code></pre>
See <a href="https://docs.khoj.dev/#/setup">https://docs.khoj.dev/#/setup</a> for detailed instructions<p>We also have desktop apps (in beta) at <a href="https://github.com/khoj-ai/khoj/releases/tag/0.10.0">https://github.com/khoj-ai/khoj/releases/tag/0.10.0</a> if you want to try them out.<p>Please do try out Khoj and let us know if it works for your use cases? <i>Looking forward to the feedback!</i>
Show HN: San Francisco Compute – 512 H100s at <$2/hr for research and startups
Hey folks! We're Alex and Evan, and we're working on putting together a 512 H100 compute cluster for startups and researchers to train large generative models on.
- it runs at the lowest possible margins (<$2.00/hr per H100)
- designed for bursty training runs, so you can take say 128 H100s for a week
- you don’t need to commit to multiple years of compute or pay for a year upfront<p>Big labs like OpenAI and Deepmind have big clusters that support this kind of bursty allocation for their researchers, but startups so far have had to get very small clusters on very long term contracts, wait months of lead time, and try to keep them busy all the time.<p>Our goal is to make it about 10-20x cheaper to do an AI startup than it is right now. Stable Diffusion only costs about $100k to train -- in theory every YC company could get up to that scale. It's just that no cloud provider in the world will give you $100k of compute for just a couple weeks, so startups have to raise 20x that much to buy a whole year of compute.<p>Once the cluster is online, we're going to be pretty much the only option for startups to do big training runs like that on.