The best Hacker News stories from Show from the past day

from

All Show

from the past*

day week month

with these search terms:

Create follow Go back

Latest posts:

Show HN: Hacker News user experience enhancement browser extension

Hello everyone!<p>This is a browser extension that attempts to enhance Hacker News user experience, while your data is kept secure, and private (never leaves the browser).<p>Browsers have evolved significantly since doing a v1 back in 2010, which was one of the contributing factors, for attempting a complete re-take few months ago.<p>Personally, I was surprised how useful it turned out to be when browsing around HN.<p>On the linked page you can find install link(s) from web-browser stores, and demo video/screenshots of the features[1]<p>What do you think ?<p>[1] including, browsing content with multiple columns, infinite scroll for lists, user profile tooltips, dynamic comment reply, dark-mode, ...

Show HN: I created a game to memorize the fretboard

Hey guys I've been playing the guitar for many years but I felt like I had hit a wall and wasnt making progress. One of the things I realized was holding me back was unfamiliarity with the fretboard. I'd often find myself in situations like<p>“Uhh…Where’s the C# here?”<p>“Where’s the flat-3rd of this root on the 4th string?”<p>“Sure would be nice to know the closest min7 triad shape to play over here..”<p>I tried memorizing the fretboard the obvious way but it extreeemly boring for me. Being a developer, I decided to turn it into a game. I'd love for you guys to try it out and let me know what you think: It's at [www.fretboardfly.com](<a href="https://www.fretboardfly.com" rel="nofollow">https://www.fretboardfly.com</a>)<p>I've only built the first module right now which is for note memorization but there's been enough interest that I'm planning on building more modules. Please let me know if you like it, what you'd change about it and what other modules you'd like to see in future.<p>The stack is Vue 3/Nuxt 3/Firebase/Firestore/Tailwind deployed on Vercel. Happy to field questions on the tech side of things as well

Show HN: I created a game to memorize the fretboard

Hey guys I've been playing the guitar for many years but I felt like I had hit a wall and wasnt making progress. One of the things I realized was holding me back was unfamiliarity with the fretboard. I'd often find myself in situations like<p>“Uhh…Where’s the C# here?”<p>“Where’s the flat-3rd of this root on the 4th string?”<p>“Sure would be nice to know the closest min7 triad shape to play over here..”<p>I tried memorizing the fretboard the obvious way but it extreeemly boring for me. Being a developer, I decided to turn it into a game. I'd love for you guys to try it out and let me know what you think: It's at [www.fretboardfly.com](<a href="https://www.fretboardfly.com" rel="nofollow">https://www.fretboardfly.com</a>)<p>I've only built the first module right now which is for note memorization but there's been enough interest that I'm planning on building more modules. Please let me know if you like it, what you'd change about it and what other modules you'd like to see in future.<p>The stack is Vue 3/Nuxt 3/Firebase/Firestore/Tailwind deployed on Vercel. Happy to field questions on the tech side of things as well

Show HN: I created a game to memorize the fretboard

Hey guys I've been playing the guitar for many years but I felt like I had hit a wall and wasnt making progress. One of the things I realized was holding me back was unfamiliarity with the fretboard. I'd often find myself in situations like<p>“Uhh…Where’s the C# here?”<p>“Where’s the flat-3rd of this root on the 4th string?”<p>“Sure would be nice to know the closest min7 triad shape to play over here..”<p>I tried memorizing the fretboard the obvious way but it extreeemly boring for me. Being a developer, I decided to turn it into a game. I'd love for you guys to try it out and let me know what you think: It's at [www.fretboardfly.com](<a href="https://www.fretboardfly.com" rel="nofollow">https://www.fretboardfly.com</a>)<p>I've only built the first module right now which is for note memorization but there's been enough interest that I'm planning on building more modules. Please let me know if you like it, what you'd change about it and what other modules you'd like to see in future.<p>The stack is Vue 3/Nuxt 3/Firebase/Firestore/Tailwind deployed on Vercel. Happy to field questions on the tech side of things as well

Show HN: I created a game to memorize the fretboard

Hey guys I've been playing the guitar for many years but I felt like I had hit a wall and wasnt making progress. One of the things I realized was holding me back was unfamiliarity with the fretboard. I'd often find myself in situations like<p>“Uhh…Where’s the C# here?”<p>“Where’s the flat-3rd of this root on the 4th string?”<p>“Sure would be nice to know the closest min7 triad shape to play over here..”<p>I tried memorizing the fretboard the obvious way but it extreeemly boring for me. Being a developer, I decided to turn it into a game. I'd love for you guys to try it out and let me know what you think: It's at [www.fretboardfly.com](<a href="https://www.fretboardfly.com" rel="nofollow">https://www.fretboardfly.com</a>)<p>I've only built the first module right now which is for note memorization but there's been enough interest that I'm planning on building more modules. Please let me know if you like it, what you'd change about it and what other modules you'd like to see in future.<p>The stack is Vue 3/Nuxt 3/Firebase/Firestore/Tailwind deployed on Vercel. Happy to field questions on the tech side of things as well

Show HN: I created a game to memorize the fretboard

Hey guys I've been playing the guitar for many years but I felt like I had hit a wall and wasnt making progress. One of the things I realized was holding me back was unfamiliarity with the fretboard. I'd often find myself in situations like<p>“Uhh…Where’s the C# here?”<p>“Where’s the flat-3rd of this root on the 4th string?”<p>“Sure would be nice to know the closest min7 triad shape to play over here..”<p>I tried memorizing the fretboard the obvious way but it extreeemly boring for me. Being a developer, I decided to turn it into a game. I'd love for you guys to try it out and let me know what you think: It's at [www.fretboardfly.com](<a href="https://www.fretboardfly.com" rel="nofollow">https://www.fretboardfly.com</a>)<p>I've only built the first module right now which is for note memorization but there's been enough interest that I'm planning on building more modules. Please let me know if you like it, what you'd change about it and what other modules you'd like to see in future.<p>The stack is Vue 3/Nuxt 3/Firebase/Firestore/Tailwind deployed on Vercel. Happy to field questions on the tech side of things as well

Show HN: A web-based pool (billiards) simulator to improve your real-life game

MillionBalls is a web-based simulator meant to improve your real-life game. This is targeted beginner-intermediate level players who want to learn to visualize shots better.<p>Unlike typical pool simulators this one constrains you to the views you see as a player at a pool table rather than overhead or other unrealistic views. You'll receive immediate feedback about your aim and historical performance.

Show HN: A web-based pool (billiards) simulator to improve your real-life game

MillionBalls is a web-based simulator meant to improve your real-life game. This is targeted beginner-intermediate level players who want to learn to visualize shots better.<p>Unlike typical pool simulators this one constrains you to the views you see as a player at a pool table rather than overhead or other unrealistic views. You'll receive immediate feedback about your aim and historical performance.

Show HN: Mount Unix system into Common Lisp image

Show HN: Mount Unix system into Common Lisp image

Show HN: Appliku – Deployment PaaS for Python/Django

Hey everyone.<p>I have dedicated 4 years of my life to building a solution for easy deployment of [primarily] Python and Django apps.<p>Think of it as an equivalent of Laravel Forge/Hatchbox but for Python apps.<p>For those who are not familiar – Platform as a service on your cloud or on-prem servers.<p>I have posted here 2 years ago and a lot has changed since then.<p>What's new: - New great and easy to use dashboard - backups for databases - cronjobs - stats resources of servers and apps - tons of stability improvements.

Show HN: Appliku – Deployment PaaS for Python/Django

Hey everyone.<p>I have dedicated 4 years of my life to building a solution for easy deployment of [primarily] Python and Django apps.<p>Think of it as an equivalent of Laravel Forge/Hatchbox but for Python apps.<p>For those who are not familiar – Platform as a service on your cloud or on-prem servers.<p>I have posted here 2 years ago and a lot has changed since then.<p>What's new: - New great and easy to use dashboard - backups for databases - cronjobs - stats resources of servers and apps - tons of stability improvements.

Hacker News in Slow Italian

There are plenty of podcasts to listen to some slow basic Italian, but often they just talk about random things I'm not that interested in. Nothing a few hours of tinkering with Python cannot solve these days!<p>Introducing Hacker News in Slow Italian. Each episode is generated automatically, using GPT4 API to summarise the top articles on Hacker News and then fed to Play.ht for text-to-speech.<p>The (very short) code is available on Github: <a href="https://github.com/laky/hn-slow-italian">https://github.com/laky/hn-slow-italian</a>

Show HN: HN Follow – Follow Your Friends on HN

HN Follow lets you follow authors on Hacker News, and get email notifications when they post. It was inspired by alerthn.com and hnreplies.com.<p>The app was built in an experimental style on Val Town. We’re trying to create a new web primitive that you can:<p>1. write like a function 2. run like a script 3. fork like a repo 4. install like an app<p>This is our 5th iteration of this same “HN Follow” app. We launched the 3rd version here on Hacker News six months ago[1], but it was very kindly removed from the front page by dang in favor of us launching Val Town itself first, which we did in January[2].<p>We’re trying to strike the right balance between something you can use and install with one click, and something you can infinitely customize. For example, you could fork `@rodrigoTello.hnFollowApp`[3] and change the input parameter from authors to a generic query, like I do here[4] to get notifications whenever “val town” is mentioned on HN. In addition to emailing myself (via `console.email`), I also send a message to our team’s Discord. The possibilities are endless, but it can also be overwhelming. We’re trying to find the balance where we help you navigate the space of possible integrations, without limiting you the way a no-code tool would. We would really appreciate your guys’ feedback and suggestions!<p>[1] - HN Follow, first launch: <a href="https://news.ycombinator.com/item?id=33533830" rel="nofollow">https://news.ycombinator.com/item?id=33533830</a><p>[2] - Val Town launch: <a href="https://news.ycombinator.com/item?id=34343122" rel="nofollow">https://news.ycombinator.com/item?id=34343122</a><p>[3] - `@rodrigotello.hnFollowApp`: <a href="https://www.val.town/v/rodrigotello.hnFollowApp" rel="nofollow">https://www.val.town/v/rodrigotello.hnFollowApp</a><p>[4] - My fork of hnFollow: <a href="https://www.val.town/v/stevekrouse.hnValTown" rel="nofollow">https://www.val.town/v/stevekrouse.hnValTown</a>

Show HN: HN Follow – Follow Your Friends on HN

HN Follow lets you follow authors on Hacker News, and get email notifications when they post. It was inspired by alerthn.com and hnreplies.com.<p>The app was built in an experimental style on Val Town. We’re trying to create a new web primitive that you can:<p>1. write like a function 2. run like a script 3. fork like a repo 4. install like an app<p>This is our 5th iteration of this same “HN Follow” app. We launched the 3rd version here on Hacker News six months ago[1], but it was very kindly removed from the front page by dang in favor of us launching Val Town itself first, which we did in January[2].<p>We’re trying to strike the right balance between something you can use and install with one click, and something you can infinitely customize. For example, you could fork `@rodrigoTello.hnFollowApp`[3] and change the input parameter from authors to a generic query, like I do here[4] to get notifications whenever “val town” is mentioned on HN. In addition to emailing myself (via `console.email`), I also send a message to our team’s Discord. The possibilities are endless, but it can also be overwhelming. We’re trying to find the balance where we help you navigate the space of possible integrations, without limiting you the way a no-code tool would. We would really appreciate your guys’ feedback and suggestions!<p>[1] - HN Follow, first launch: <a href="https://news.ycombinator.com/item?id=33533830" rel="nofollow">https://news.ycombinator.com/item?id=33533830</a><p>[2] - Val Town launch: <a href="https://news.ycombinator.com/item?id=34343122" rel="nofollow">https://news.ycombinator.com/item?id=34343122</a><p>[3] - `@rodrigotello.hnFollowApp`: <a href="https://www.val.town/v/rodrigotello.hnFollowApp" rel="nofollow">https://www.val.town/v/rodrigotello.hnFollowApp</a><p>[4] - My fork of hnFollow: <a href="https://www.val.town/v/stevekrouse.hnValTown" rel="nofollow">https://www.val.town/v/stevekrouse.hnValTown</a>

Show HN: HN Follow – Follow Your Friends on HN

HN Follow lets you follow authors on Hacker News, and get email notifications when they post. It was inspired by alerthn.com and hnreplies.com.<p>The app was built in an experimental style on Val Town. We’re trying to create a new web primitive that you can:<p>1. write like a function 2. run like a script 3. fork like a repo 4. install like an app<p>This is our 5th iteration of this same “HN Follow” app. We launched the 3rd version here on Hacker News six months ago[1], but it was very kindly removed from the front page by dang in favor of us launching Val Town itself first, which we did in January[2].<p>We’re trying to strike the right balance between something you can use and install with one click, and something you can infinitely customize. For example, you could fork `@rodrigoTello.hnFollowApp`[3] and change the input parameter from authors to a generic query, like I do here[4] to get notifications whenever “val town” is mentioned on HN. In addition to emailing myself (via `console.email`), I also send a message to our team’s Discord. The possibilities are endless, but it can also be overwhelming. We’re trying to find the balance where we help you navigate the space of possible integrations, without limiting you the way a no-code tool would. We would really appreciate your guys’ feedback and suggestions!<p>[1] - HN Follow, first launch: <a href="https://news.ycombinator.com/item?id=33533830" rel="nofollow">https://news.ycombinator.com/item?id=33533830</a><p>[2] - Val Town launch: <a href="https://news.ycombinator.com/item?id=34343122" rel="nofollow">https://news.ycombinator.com/item?id=34343122</a><p>[3] - `@rodrigotello.hnFollowApp`: <a href="https://www.val.town/v/rodrigotello.hnFollowApp" rel="nofollow">https://www.val.town/v/rodrigotello.hnFollowApp</a><p>[4] - My fork of hnFollow: <a href="https://www.val.town/v/stevekrouse.hnValTown" rel="nofollow">https://www.val.town/v/stevekrouse.hnValTown</a>

Show HN: HN Follow – Follow Your Friends on HN

HN Follow lets you follow authors on Hacker News, and get email notifications when they post. It was inspired by alerthn.com and hnreplies.com.<p>The app was built in an experimental style on Val Town. We’re trying to create a new web primitive that you can:<p>1. write like a function 2. run like a script 3. fork like a repo 4. install like an app<p>This is our 5th iteration of this same “HN Follow” app. We launched the 3rd version here on Hacker News six months ago[1], but it was very kindly removed from the front page by dang in favor of us launching Val Town itself first, which we did in January[2].<p>We’re trying to strike the right balance between something you can use and install with one click, and something you can infinitely customize. For example, you could fork `@rodrigoTello.hnFollowApp`[3] and change the input parameter from authors to a generic query, like I do here[4] to get notifications whenever “val town” is mentioned on HN. In addition to emailing myself (via `console.email`), I also send a message to our team’s Discord. The possibilities are endless, but it can also be overwhelming. We’re trying to find the balance where we help you navigate the space of possible integrations, without limiting you the way a no-code tool would. We would really appreciate your guys’ feedback and suggestions!<p>[1] - HN Follow, first launch: <a href="https://news.ycombinator.com/item?id=33533830" rel="nofollow">https://news.ycombinator.com/item?id=33533830</a><p>[2] - Val Town launch: <a href="https://news.ycombinator.com/item?id=34343122" rel="nofollow">https://news.ycombinator.com/item?id=34343122</a><p>[3] - `@rodrigotello.hnFollowApp`: <a href="https://www.val.town/v/rodrigotello.hnFollowApp" rel="nofollow">https://www.val.town/v/rodrigotello.hnFollowApp</a><p>[4] - My fork of hnFollow: <a href="https://www.val.town/v/stevekrouse.hnValTown" rel="nofollow">https://www.val.town/v/stevekrouse.hnValTown</a>

Show HN: Visual intuitive explanations of LLM concepts (LLM University)

Hi HN,<p>We've just published a lot of original, visual, and intuitive explanations of concepts to introduce people to large language models.<p>It's available for free with no sign-up needed and it includes text articles, some video explanations, and code examples/notebooks as well. And we're available to answer your questions in a dedicated Discord channel.<p>You can find it here: https://llm.university/<p>Having written https://jalammar.github.io/illustrated-transformer/, I've been thinking about these topics and how best to communicate them for half a decade. But this project is extra special to me because I got to collaborate on it with two of who I think of as some of the best ML educators out there. Luis Serrano of https://www.youtube.com/@SerranoAcademy and Meor Amer, author of "A Visual Introduction to Deep Learning" https://kdimensions.gumroad.com/l/visualdl<p>We're planning to roll out more content to it (let us know what concepts interest you). But as of now, it has the following structure (With some links for highlighted articles for you to audit):<p>---<p>Module 1: What are Large Language Models<p>- Text Embeddings (https://docs.cohere.com/docs/text-embeddings)<p>- Similarity between words and sentences (https://docs.cohere.com/docs/similarity-between-words-and-sentences)<p>- The attention mechanism<p>- Transformer models (https://docs.cohere.com/docs/transformer-models HN Discussion: https://news.ycombinator.com/item?id=35576918)<p>- Semantic search<p>---<p>Module 2: Text representation<p>- Classification models (https://docs.cohere.com/docs/classification-models)<p>- Classification Evaluation metrics (https://docs.cohere.com/docs/evaluation-metrics)<p>- Classification / Embedding API endpoints<p>- Semantic search<p>- Text clustering<p>- Topic modeling (goes over clustering Ask HN posts https://docs.cohere.com/docs/clustering-hacker-news-posts)<p>- Multilingual semantic search<p>- Multilingual sentiment analysis<p>---<p>Module 3: Text generation<p>- Prompt engineering (https://docs.cohere.com/docs/model-prompting)<p>- Use case ideation<p>- Chaining prompts<p>---<p>A lot of the content originates from common questions we get from users of the LLMs we serve at Cohere. So the focus is more on application of LLMs than theory or training LLMs.<p>Hope you enjoy it, open to all feedback and suggestions!

Show HN: Visual intuitive explanations of LLM concepts (LLM University)

Hi HN,<p>We've just published a lot of original, visual, and intuitive explanations of concepts to introduce people to large language models.<p>It's available for free with no sign-up needed and it includes text articles, some video explanations, and code examples/notebooks as well. And we're available to answer your questions in a dedicated Discord channel.<p>You can find it here: https://llm.university/<p>Having written https://jalammar.github.io/illustrated-transformer/, I've been thinking about these topics and how best to communicate them for half a decade. But this project is extra special to me because I got to collaborate on it with two of who I think of as some of the best ML educators out there. Luis Serrano of https://www.youtube.com/@SerranoAcademy and Meor Amer, author of "A Visual Introduction to Deep Learning" https://kdimensions.gumroad.com/l/visualdl<p>We're planning to roll out more content to it (let us know what concepts interest you). But as of now, it has the following structure (With some links for highlighted articles for you to audit):<p>---<p>Module 1: What are Large Language Models<p>- Text Embeddings (https://docs.cohere.com/docs/text-embeddings)<p>- Similarity between words and sentences (https://docs.cohere.com/docs/similarity-between-words-and-sentences)<p>- The attention mechanism<p>- Transformer models (https://docs.cohere.com/docs/transformer-models HN Discussion: https://news.ycombinator.com/item?id=35576918)<p>- Semantic search<p>---<p>Module 2: Text representation<p>- Classification models (https://docs.cohere.com/docs/classification-models)<p>- Classification Evaluation metrics (https://docs.cohere.com/docs/evaluation-metrics)<p>- Classification / Embedding API endpoints<p>- Semantic search<p>- Text clustering<p>- Topic modeling (goes over clustering Ask HN posts https://docs.cohere.com/docs/clustering-hacker-news-posts)<p>- Multilingual semantic search<p>- Multilingual sentiment analysis<p>---<p>Module 3: Text generation<p>- Prompt engineering (https://docs.cohere.com/docs/model-prompting)<p>- Use case ideation<p>- Chaining prompts<p>---<p>A lot of the content originates from common questions we get from users of the LLMs we serve at Cohere. So the focus is more on application of LLMs than theory or training LLMs.<p>Hope you enjoy it, open to all feedback and suggestions!

Show HN: Visual intuitive explanations of LLM concepts (LLM University)

Hi HN,<p>We've just published a lot of original, visual, and intuitive explanations of concepts to introduce people to large language models.<p>It's available for free with no sign-up needed and it includes text articles, some video explanations, and code examples/notebooks as well. And we're available to answer your questions in a dedicated Discord channel.<p>You can find it here: https://llm.university/<p>Having written https://jalammar.github.io/illustrated-transformer/, I've been thinking about these topics and how best to communicate them for half a decade. But this project is extra special to me because I got to collaborate on it with two of who I think of as some of the best ML educators out there. Luis Serrano of https://www.youtube.com/@SerranoAcademy and Meor Amer, author of "A Visual Introduction to Deep Learning" https://kdimensions.gumroad.com/l/visualdl<p>We're planning to roll out more content to it (let us know what concepts interest you). But as of now, it has the following structure (With some links for highlighted articles for you to audit):<p>---<p>Module 1: What are Large Language Models<p>- Text Embeddings (https://docs.cohere.com/docs/text-embeddings)<p>- Similarity between words and sentences (https://docs.cohere.com/docs/similarity-between-words-and-sentences)<p>- The attention mechanism<p>- Transformer models (https://docs.cohere.com/docs/transformer-models HN Discussion: https://news.ycombinator.com/item?id=35576918)<p>- Semantic search<p>---<p>Module 2: Text representation<p>- Classification models (https://docs.cohere.com/docs/classification-models)<p>- Classification Evaluation metrics (https://docs.cohere.com/docs/evaluation-metrics)<p>- Classification / Embedding API endpoints<p>- Semantic search<p>- Text clustering<p>- Topic modeling (goes over clustering Ask HN posts https://docs.cohere.com/docs/clustering-hacker-news-posts)<p>- Multilingual semantic search<p>- Multilingual sentiment analysis<p>---<p>Module 3: Text generation<p>- Prompt engineering (https://docs.cohere.com/docs/model-prompting)<p>- Use case ideation<p>- Chaining prompts<p>---<p>A lot of the content originates from common questions we get from users of the LLMs we serve at Cohere. So the focus is more on application of LLMs than theory or training LLMs.<p>Hope you enjoy it, open to all feedback and suggestions!