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This is amazing! Will there be something like Litestream/rqlite for PGlite?


Thank you! Yeah, also improving the pipeline to cater to all kinds of queries


Pretty cool.

I build something very similar - smort.io . Just prepend smort.io/ before any article URL to easily edit, annotate and share it with anyone.

Also works on ArXiv papers!

This was the Show HN post for Smort - https://news.ycombinator.com/item?id=30673502


The recent project from jina AI was a clone of this idea?

https://jina.ai/reader/


Readability is awesome! I used it to build Smort.io [1] to easily read articles & ArXiv papers.

[1] https://smort.io


I built and launched Smort.io [1] a year ago to easily edit, annotate and share articles without logging in.

Just prepend smort.io/ before any URL to read.

It also works on ArXiv papers published till May 2023.

[1] https://smort.io


What happened in May 2023?

Would there be a benefit in social network features? E.g. I would love to see the currently most shared and annotated articles for any topic. It would also be interesting to see the Tweets and posts that reference an article.


Can I use it to annotate a random pdf book and save comments for personal use?


What happened to ArXiv in May to make it stop working?


Are you using Temporal Cloud?


Currently, we're just hosting temporal ourselves in our k8s cluster. However, I've been working with their team, and we'll likely be migrating our temporal cluster over to their cloud in the near term future.


"How many emoji on ios" works.

Wonder why "emojis" itself throws an error? I would expect the query understanding model to have the same result for the singular and plural forms


You should use Smort.io [1]!

I've been building Smort to be the best place to read online. Just add smort.io/ before any URL to read the article in Smort. No login needed!

Demo: https://smort.io/demo/home

You can annotate, edit with markdown, save articles permanently and also share the annotated articles with other people. We also have inbuilt arXiv support so that you can read arXiv papers without wrangling PDFs. Latex equations are rendered quite well!

[1] https://smort.io


On a related note, to get into ML/DL you'll have to read a lot of arXiv papers. I built Smort.io to easily annotate and collaborate on arXiv papers.

Just add smort.io/ before any arXiv URL to read it in Smort.

Demo: https://smort.io/demo/home


Smort.io doesn't require a signup too! Smort lets you easily annotate and share an article or arXiv paper. Just add Smort.io before any URL to read it in Smort.

Demo: https://smort.io/demo/home

Disclaimer: I built Smort


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