sabr

Joined 6 years ago

Karma

60

Submissions

50

Member since

Jan 17

https://sabr.dev

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Recent submissions

Comment · 9 months ago

Mastra looks great!

- How do you compare Mastra with Tanstack AI? And/or do you plan to build on top of Tanstack AI like the Vercel AI SDK?

- Since there's a Mastra cloud, do you have an idea as to what features will be exclusive to the hosted version?

Comment · 2 years ago

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

Comment · 2 years ago

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

Show HN: Floodcraft – Short videos on any topic in 30 seconds floodcraft.com

5 sabr 2 years ago 2 comments

Comment · 2 years ago

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

Comment · 2 years ago

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

[1] https://smort.io

Comment · 3 years ago

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

Comment · 3 years ago

Are you using Temporal Cloud?

Comment · 4 years ago

"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

Comment · 4 years ago

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

Comment · 4 years ago

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

Comment · 4 years ago

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

Comment · 4 years ago

Are the webpages you're primarily annotating, articles? If so, then I built Smort.io for this. To annotate and share articles easily.

Here is a demo: https://smort.io/demo/home

Comment · 4 years ago

If you need a better way to read arXiv papers, I've built Smort.io . You can read, edit, annotate, share and save papers natively in Smort rather than handling PDFs!

Here is a demo https://smort.io/demo/home

Just prepend smort.io/ before any arXiv URL to read. No login needed!

Comment · 4 years ago

At the moment Smort can only share individual papers rather than having all the papers in a single page. But we're working on this! Sort of like a profile page where people can see all the annotated and shared articles/papers of a user