Wowd, currently in Beta phase, is a search engine that helps users to discover what is popular on the Web.

However, Wowd’s search technology demonstrated to a very wide users that searching on the Web can works well on a peer to peer service principle.

In fact, Wowd’s primary founding idea was derived from Skype’s model. Unlike the leading search engine Google’s million of computer processors, Wowd want users to download its software to their computers in order to create a distributed network that will do the searching, as well as to distribute the Web pages they visited amongst all the Wowd users.

In this way, peer to peer data searching and sharing, no matter where its original Web page resided in; the Web pages will be pooled to the open search results that will benefit all of the Wowd’s users. Think of a Facebook public album that is currently can’t crawled by Google, when a Wowd user visited it, this particular Facebook album will show up on Wowd’s search result whenever a user want to search Facebook album.

For the users to get started in peer to peer searching; after the user downloading the software, Wowd suggests a user to reserve 2 gigabytes on hard drive so that the Web pages he / she visited can be stored and Wowd will update the visited Web pages accordingly. On the other hand, when a user searches for something, the software will then queries its neighbors, which ask for more neighbors, and so on, until the right search result is met.

However, on the downside, some said peer to peer searching will not work as this method is not fast enough and will not penetrate firewalls. Meanwhile, they also doubt how Wowd can convince people to download what really amounts to a voluntary piece of glorified spyware to their computers.

With more and more people joining Google Buzz for status updates, a third-party app, i.e. Buzzzy, known as the search engine for Google Buzz is vying to help make the user experience of Google Buzz become even more productive.

On Buzzzy, for any given query string on its search bar, it will generate results down the right-column that are updated in real-time from Google Buzz. Include in the search results are the avatar, the full name of the user, his / her profession, and a link to the original URL and its content (assuming the content is pull from an external service available on Google Buzz).

In addition, there is a nice feature offered by Buzzzy in which it list down the different timeline, source where the content are pulling from as well as the media (how many content is categorized under image, video, and URL link). This feature allows users to further filter their search results in a simple one-click process.

If you want a search engine that is real-time, and indexed conversations only, look no further than BackType.

On BackType, you can browse the popular topics, hot trends, or you can type in a query, hit the submit button, and voila! BackType will generate the search results based on the keyword in your query and they’ll only pull in conversations from blog posts (WordPress), Digg, Reddit, FriendFeed, Twitter and Hacker News.

In addition, BackType is building a scalable comments search engine. Although it’s akin to WordPress comment system, but with a broader reach to all the conversations indexed by BackType. Meanwhile, they have added few comment-like data sources such as Digg, Mahalo Answers, and etc.

Overall, their goal is to unlock as much as the underlying value in online conversations and comments across the Web.

To know more about BackType, it is founded in June 2008, also a startup that funded by Y Combinator and True Ventures.

TinEye is a reverse image search engine and is currently indexed more than 1.35 billion images from the Web. If you don’t know what is reverse image search, it’s akin to similar image search: by utilizing image recognition technology to help filter out search results.

For this functionality, users who search the images through this type of search engine are not search by text, instead they need to upload an image or type an image’s URL link to the search bar. This contrast with the conventional search engine approach, and TinEye potentially search all the images available on the Web and match the image that user uploaded, whether the images have been photoshoped.

From the results, you can compare the images one-by-one with the different pixel, format and the size of the pictures. Once you identify a particular picture better than the one you’ve just uploaded, you even can trace the original URL of the picture source and save it for your own use.

Try it out and compare the pictures yourself.

DocJax, a search engine for document, happens to be a viable vertical search engine alternative to Google. In fact, the vertical search engine idea is not by any means new; you could do this by using certain types of queries on Google, such as filetype:pdf for PDF files search, or filetype:ppt for PowerPoint files search to your queries, and etc. Google will also return the search results for the type of documents you expected for.

Now, by using DocJax, they have included not only the Google search results, but also Yahoo! For each of the search results, DocJax include a “Preview It” link, which opens up the document in your Web browser. This feature is truly user-friendly as many users could eliminate the need to download a document in order to view it. From there, DocJax also has options such as “Love It” and “Download It” as well as a tag cloud on the sidebar.

Meanwhile, all the DocJax-specific features are designed to enhance the user-friendly aspect of search experience. The document type of the search results can be changed through a simple click. For example, you want the search results all in Excel format, you can click the xls button on the top, and DocJax will render the results accordingly.

Wow! I just tried out a new search engine called Goby and I’m very impressed about its search results. It uses something that called “deep Web” technology which you can’t count out Goby when you want to search something for fun, be it the perfect bed & breakfast for a romantic getaway, a new hiking trail to tackle, a cool museum to visit with the kids, or a live show to check out this weekend, and etc.

In fact, Goby was first created in the MIT research labs, but now they are confident enough with its functionality and that’s why you find this version is released for the public consumption. While you see there are three (3) W on the search bar, i.e. “What,” “Where,” “When,” it was specifically designed for the sake of your search preferences. In this manner, it allows users to search through different categories that act as filters, in contrast of a long string of keywords, therefore cluttered results can be eliminated.

Enter the query, results are organized and mixed together from different Web pages as well as sorted as you might expect in other search engines. Thumbnail images, map, locations, from which Web page it aggregated from and appropriate categories are automatically shown on the results. You also can further filter the results with the help of keyword relevance, distance, date and name.

Along with the aforesaid features, you can drill-down into the result you want to know more by clicking the “more info” button and get the details of the result such as address, average ratings, and business URL.

Overall, the search results rendered is not by any means new, but useful.

To know more about Goby, it was co-founded by Mark Watkins and Vince Russo from Endeca and Lycos, respectively, and noted tech entrepreneur and MIT professor Mike Stonebraker. Also, they received venture funding from both Flybridge Venture Capital and Kepha Partners.