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Re:Show HN: Bubblehunt – curated web search by petra on Saturday February 06, 2016 @08:59AM (#11047764)
This will never scale. Too much human work.

Also how is it different than Google or Bing, which capture people's surfing/clicking habits to find the best sites ?

Another way to reach similar result - is a use the curation people already done , i.e. forums, and particularly , forums with voting mechanisms. If you'll build a good forum search engine - that would be useful.

Re:Show HN: Bubblehunt – curated web search by vkorsunov on Saturday February 06, 2016 @09:10AM (#11047787)
And we do not need to index the entire Internet, users can add their own resources, and we will seek among the favorites.

For example, Jonathan Ive (opinion leader on design) will be able to say: look, here I have collected all the best sites, this is news, this is tools, look for everything related to the design here!

And as any other man. Our search engine will look at user's favorite internet and algorithms to choose the most suitable bubbles)

In the Google, sites in the first places only become more popular and getting there very difficult) We have sites selected users)

This is what they wanted to do with +1 button, and we believe that our formula is more correct)

Thank you, we will build a system that indexes user intranets and provide the most relevant results)

Re:Show HN: Bubblehunt – curated web search by brudgers on Saturday February 06, 2016 @10:29AM (#11048090)
I remember how poor Wikipedia was in its early days. It has scaled largely based on human work to make it better.

There's a lot of scale between a "Show HN" and Bing, never mind Google. And a lot of room for better search results at least some time, and a lot of room for a better search experience pretty much a lot of the time.

Re:Show HN: Bubblehunt – curated web search by vkorsunov on Sunday February 07, 2016 @06:23AM (#11052529)
I agree! Wikipedia in the beginning there was very little information, but it did not stop them and now we are using it for more information.

Our users can also contribute to the improvement of the search. We all have favorites bookmarks, that we use, and each of us knows what resources we like. And this is enough to help others discover new and useful information.

Because we will be able to index user-specified resources quickly, as soon as something new and useful.

And in the search results will be dynamic results. For example, we introduce the "design", and obtain search results from designers, introduce the "php" - we get the results from the developers.

And there may be the most popular and useful resources, latest news, tools and other work, what kind of people) use

This will allow us to get a whole lot of responses to a search query)