[chris_f]

In the broadest sense, a highly targeted search engine (like this) can provide better results because Google has to determine user search intent AND return the right results from trillions of webpages. The advantage of this search engine is that all of the users are looking for the same type of information, and the result sources can be curated to ensure high quality and relevant results.

The more targeted the topic, the harder the time Google has to provide quality signal through the noise of SEO and sheer volume of content on the web.

In addition to the above, the UI provides some cool features like allowing horizontal scrolling of sources to provider higher information density (important for discovery), and some source content can be viewed in the side pane without leaving the page.

But ultimately it would be good to hear if this approach does make it easier to find relevant and higher quality Pytorch info.

[p1esk]

I just tried searching for: pytorch Distributed model parallel, and google fails completely to return relevant results in the first few pages, even if I put Distributed model parallel in quotes. You.com also mostly fails, but it returns a section specifically from Discuss Pytorch forums which does have relevant results, so yes, this is a good sign.

[chris_f]

That's great! And I think the results even improve a little more if you just search 'distributed model parallel' without 'pytorch' [0]

So still some work to do, but I've personally found this type of search engine really valuable for some of my interests where I am able to curate the sites that might not normally rank, but I know are higher quality.

[0] https://you.com/niche/pytorch?q=distributed+model+parallel