Bubblehunt lets people find & share quality resources. We are creating curated web search, where people can choose best results and help others to find it.
Considering extremely high growth of the web, it is becoming harder to find new & quality resources. This is where Bubblehunt comes in. Finding interesting results becomes much easier as they are recommended by people, not dumb machines.
Every user can create a bubble with his favorite resources and provide best results for search queries based on their opinion. We've combined search and human opinions to let people cut through the noise of the web and share the best resources.
It seems like a great idea. But how do you protect results from malicious users and spambots? How do you solve the positive feedback problem? And I can't see the upvote/downvote buttons (Chromium 47.
Thank you Effie!)
We will protect users against spam that registration with us through social accounts. This will complicate the creation of bots.
And if you add uninteresting or irrelevant resources, our ranking system will place them in the end. Therefore, our users will always see all the most useful results on request)
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.
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)
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.
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)
Bubblehunt lets people find & share quality resources. We are creating curated web search, where people can choose best results and help others to find it.
Considering extremely high growth of the web, it is becoming harder to find new & quality resources. This is where Bubblehunt comes in. Finding interesting results becomes much easier as they are recommended by people, not dumb machines.
Every user can create a bubble with his favorite resources and provide best results for search queries based on their opinion. We've combined search and human opinions to let people cut through the noise of the web and share the best resources.
Get feedback please)