MyLiveSearch WikiLive Real-Time SearchMyLiveSearch WikiLive Real-Time Search


 Patents


 3 x USA Patent Publications US20100235338 A1

  Notice of Allowance for US Patent Application No. 14/523,897
(DIV of US 12/672,512); O/R: 6282/1.1

 US Patent | Australian Patent | Video 1 | Video 2
Google Patent Search
 USA Publication number US20100235338 A1
 USA Patent number US 8,898,132 B2 Nov 25 2014
 USA Patent number US 9,396,266 B2 July 19 2016
 USA Patent number US 9,785,714 B2 October 10 2017
 Australian Patent number 2008286192 August 6 2008


WikiLive Real-Time Search on iPhone & iPad & including compatible Macs running M1/M2

AppStore iTtunesAppStore iTtunes
WikiLive on iTunes Appstore

 WikiLive has been developed to allow you to search Wikipedia and Millions of other websites in a new way like never before via Patented Technology.  it will empower you with the ability and Control to Search Wikipedia in Real Time while truly providing a very unique and simple experience that will save you hours in researching and finding information that otherwise would be missed.  WikiLive is a fantastic research tool as well as a very powerful and flexible tool that will make sites like Wikipedia come Alive.  We Hope you enjoy this first version of WikiLive futher reading below

 The ability to search the web in Real-Time including the Deep web from your very own device is now a reality using WikiLive.  Historically for years most of us have used great search engines like Google, Bing, Yahoo, etc as search engines for the web.

 While search engines do a great job to locate the search content on the web that is visible they are not truly searching the web at the time of the request you searching for a historical  copy of the web when you using search engines. In other words, you search only the search engines database copy of the web and not the web itself.  Search engines also need to constantly go out and make copies of the known web allowing you to search a moment in time from their cached copy of the web.  This process is very time-consuming and very costly to search engines that need to constantly repeat this process over and over again. Search engines can take days to weeks or even months  to return to a site to have it crawled again just to look for new content.

 The Web is also very complex and not easily searchable, lots of sites have vast amounts of data that is not searchable or is impossible for conventional search engine crawl  since websites can have data that is not able to be searched due to its structure or location hidden deep inside large databases that have no linkable entry for search engines to crawl.  The deep web is far larger than the normal web and is not searchable at all by conventional search engines most of the time.

 The web also has lots of competition, sites compete to grab the attention of search engines and try at times to work the SEO magic to ensure they rank well.  Search engines then need to rank and apply complex rules to pages so that pages can be more visible than others while searching.

 The issue here is it is impossible for search engines to exactly always know which sites meet the search term and have it provide results always to meet one's needs all the time.  In other words, search engines need to be experts in all things searchable and be able to point your search to a location to meet your request.

 Many websites that offer similar content are constantly competing so that search engines can filter and apply rules to allow results to be placed in the top position of the search engine results.  The relevancy of search results places huge burdens on search engines to always get it right and in many ways removes the relevancy control from the site itself which would normally be  subject matter experts on the content they provide.

  Search engines also don't assist you when reaching the site itself, once you open a page it is up to you to decipher what content is located where content is located, and join the dots.  Sites like Wikipedia can have hundreds of data points just on a single page alone making it very difficult to understand the relationship of the search term within a page itself to  other data points. For example, you might visit a page from Wikipedia but unless you actually read the whole page and understand its content there is no way to know where to locate  data of importance and how it is all linked together for a given page.

 WikiLive uses patented search technology that allows you to truly search the web at the time of the request and assist you on your journey while searching and viewing websites long  after you have left search engine sites. Imagine if your phone could easily go out and search the web in real-time and visit sites on your behalf when looking for the content you  seek while also having the understanding of what you are searching for and knowing the relationship of other content within a site thus saving you minutes, days or even weeks and  allowing you to become the empowered like never before. WikiLive now does this with version 5 just released days ago.

 Simply by pointing Wikilive to a site/sites, real-time search is now a reality and you can even still continue using your favorite search engine while also having the added benefit  of real-time deep searching using WikiLive. #google #search  WikiLive also allows you to easily save and share results with others and will continue to evolve. Searching the web and its vast amount of ever-changing content is impossible to capture.  WikiLive now is closing that void, this idea came to me back in the mid-'90s when I had a small ISP business. I knew then that searching the web would eventually outgrow one's needs and  that real-time deep searching would be required. Thanks for kindly taking the time to read this article,  for more information kindly visit https://mylivesearch.com/ you can also download WikiLive version 5 on the AppStore for iPhone or Ipad at https://apps.apple.com/au/app/wikilive/id1213320580 ,  WikiLive for Android , Windows and Mac will also be released in the coming months..

WikiLive Article on Linkedin


 WikiLive also runs on Mac OSX compatible machines that use M1/M2 processors, simply open Mac App Store, the perfect research platform for all users!!  WikiLive for Windows and Android coming soon.


Top Tech Trends 2022 Searched in Real-Timehttps://t.co/v9u4hhVTkE

— Rob Gabriel (@Wiki_Live_) September 24, 2022

WikiLive

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