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Show HN: PeerLite – WebRTC library with perfect negotiation using TypeScript
Show HN: PeerLite – WebRTC library with perfect negotiation using TypeScript
Show HN: Tomatotree.tv – Find your next series to watch using Rotten Tomatoes
Show HN: The Amalgam Engine – Easily create isometric virtual worlds
Show HN: The Amalgam Engine – Easily create isometric virtual worlds
Show HN: The Amalgam Engine – Easily create isometric virtual worlds
Show HN: Meadowrun automates the tedious details of running Python on AWS/Azure
Show HN: Meadowrun automates the tedious details of running Python on AWS/Azure
Show HN: Meadowrun automates the tedious details of running Python on AWS/Azure
Show HN: Terragen.dev – Automagically Generate Terraform for AWS
Show HN: Terragen.dev – Automagically Generate Terraform for AWS
Show HN: Analyzing top HN posts with language models
Hi HN,<p>I spent a few weeks looking at the top HN posts of all time. This included exploration, clustering, creating visualizations, and zooming in on what (to me personally) seems like some of the best discussions on here.<p>Three things in this post:<p>1- The interesting groups of HN posts<p>2- The interactive visualizations that you can explore in your browser<p>3- The data from this exploration -- this includes CSV of the titles as well as the text embeddings of 3,000 Ask HN articles.<p>Blog post about this whole process here: [1]<p>============<p>1- The interesting groups of HN posts<p>From the exploration, Ask HN proved the most interesting. These are the top four groups of topics I found insightful. Each group contains about 400 posts.<p>- Life experiences and advice threads [2]<p>- Technical and personal development [3]<p>- Software career insights, advice, and discussions [4]<p>- General content recommendations (blogs/podcasts) [5]<p>============<p>2- The interactive visualizations that you can explore in your browser<p>- Top 10,000 Hacker News articles of all time [6]<p>- Top 3,000 posts in Ask HN [7]<p>============<p>3- The data from this exploration<p>CSV file of top 3K Ask HN posts: [8]<p>The sentence embeddings of the titles of those posts: [9]<p>This is a colab notebook containing the code examples (including loading these two data files): [10]<p>============<p>If you've ever wanted to get into language models, this is a good place to start. Happy to answer any questions
Show HN: Analyzing top HN posts with language models
Hi HN,<p>I spent a few weeks looking at the top HN posts of all time. This included exploration, clustering, creating visualizations, and zooming in on what (to me personally) seems like some of the best discussions on here.<p>Three things in this post:<p>1- The interesting groups of HN posts<p>2- The interactive visualizations that you can explore in your browser<p>3- The data from this exploration -- this includes CSV of the titles as well as the text embeddings of 3,000 Ask HN articles.<p>Blog post about this whole process here: [1]<p>============<p>1- The interesting groups of HN posts<p>From the exploration, Ask HN proved the most interesting. These are the top four groups of topics I found insightful. Each group contains about 400 posts.<p>- Life experiences and advice threads [2]<p>- Technical and personal development [3]<p>- Software career insights, advice, and discussions [4]<p>- General content recommendations (blogs/podcasts) [5]<p>============<p>2- The interactive visualizations that you can explore in your browser<p>- Top 10,000 Hacker News articles of all time [6]<p>- Top 3,000 posts in Ask HN [7]<p>============<p>3- The data from this exploration<p>CSV file of top 3K Ask HN posts: [8]<p>The sentence embeddings of the titles of those posts: [9]<p>This is a colab notebook containing the code examples (including loading these two data files): [10]<p>============<p>If you've ever wanted to get into language models, this is a good place to start. Happy to answer any questions
Show HN: Analyzing top HN posts with language models
Hi HN,<p>I spent a few weeks looking at the top HN posts of all time. This included exploration, clustering, creating visualizations, and zooming in on what (to me personally) seems like some of the best discussions on here.<p>Three things in this post:<p>1- The interesting groups of HN posts<p>2- The interactive visualizations that you can explore in your browser<p>3- The data from this exploration -- this includes CSV of the titles as well as the text embeddings of 3,000 Ask HN articles.<p>Blog post about this whole process here: [1]<p>============<p>1- The interesting groups of HN posts<p>From the exploration, Ask HN proved the most interesting. These are the top four groups of topics I found insightful. Each group contains about 400 posts.<p>- Life experiences and advice threads [2]<p>- Technical and personal development [3]<p>- Software career insights, advice, and discussions [4]<p>- General content recommendations (blogs/podcasts) [5]<p>============<p>2- The interactive visualizations that you can explore in your browser<p>- Top 10,000 Hacker News articles of all time [6]<p>- Top 3,000 posts in Ask HN [7]<p>============<p>3- The data from this exploration<p>CSV file of top 3K Ask HN posts: [8]<p>The sentence embeddings of the titles of those posts: [9]<p>This is a colab notebook containing the code examples (including loading these two data files): [10]<p>============<p>If you've ever wanted to get into language models, this is a good place to start. Happy to answer any questions
Show HN: My small program from 2007 that gave Internet Explorer tabs
Show HN: My small program from 2007 that gave Internet Explorer tabs
Show HN: My small program from 2007 that gave Internet Explorer tabs
Show HN: My small program from 2007 that gave Internet Explorer tabs
Show HN: LinkWarden – A self-hosted bookmark and archive manager
Show HN: LinkWarden – A self-hosted bookmark and archive manager