You can view it here - https://reader-sable.vercel.app/

I built this project as an experiment and as something that could lead up to something I want. Essentially when I read blogs or posts on the internet and I really like them, I want to see more at that time. Yes, I know, I can follow the author and all but I want to know more authors writing about this stuff at that point in time.

This experiment was born out of that. And since I'm doing a lot of ML stuff, I decided to experiment with topic modelling. You can check it all out on my devlog - itskeane.info/blog/reader

This process occurs in 4 steps

1. Acquiring data by scraping Substack
2. Cleaning the data by cleaning all the markdown files
3. Topic modelling on the data
4. Embedding the topics and other metadata for each post
5. Building the graph by querying the vector database
6. Reading the graph and bundling it.

For steps 1-5, refer to the HOW_TO.md for details on how to acquire the data.

This was mostly borrowed from Nexus. I changed the stuff for accessing the nodes and how the panel displayed. When you finish steps 1-5, you should have a graphData.json file. This must be moved to the frontend folder.

Then you can run the following the frontend folder

npm i
npm run dev

This will build the bundle.js file and then you can view index.html. Any changes to index.js is then reflected.

To run this, you need to follow the steps above and then navigate to the frontend/ directory and then

npm i
npm run start

This will generate a bundle.js and then you can open index.html in your favourite browser :).

WARNING: This is no way meant to be production ready. I cooked this up in a weekend. Please don't take it too seriously

The code is majorly forked from Nexus.

• I made changes to the frontend for rendering.
• I made changes to how the data is collected, stored, embedded and subsquently queried.
• I reordered and deleted all the exiguous files.