Dipity – twitter with a new look and source

I have been using Twitter for quite some time, and I find it pretty useful.  Twitter is simple to use, has lot of clients, my favourite being Twhirl . I feel that if the mashup interface could have been made more friendly, it would help us a lot more. There are more mashup comparisons in my earlier blog.

A couple of weeks back , I chanced to get upon Plurk , it is similar to Twitter, but has a nice UI , the responses are threaded, but it has improved . But the UI is not that effective, so I use it seldom.

I was using FireEagle today , and came across Dipity. I created a account, and at first look it had a nice UI for the time line, and one could also add events. The better part was that one can Add Sources , like Twitter, FriendFeed, WordPress, Last.fm and all of them would show up in the UI . Thats a neat work, and the user does not need to get log into each service and get the updates.

My Dipity Profile

The features provided are cool, but Twitter shall still rule, as Twitter has a large fan base, and has lots of clients . Another application Twistori shall probably combine both the features of Plurk and Dipity, lets see what they have to offer.

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Location Based Networking – making it work for you

Social networking has become more than a past time , if seen seriously it looks like it has still more challenges to cross, but barring the challenges it has brought in a lot of change , in the way we look today.

But, there is a drawback here, if you need to find a people from the place one is in, one has to search and find the friend. This has given to a new form of social networking – location based networking. Some like Mates is based on Relationship Engine / Relationship Space Navigator. Right now there are many such networks, my favourite being Skout , it is expanding its network by every day. Location based networking sites, allows the user to find out other users from the same location. Of course it also lets you search people from other locations. In Scout for example you have a microblog too , so its a combination of Twitter and a social networking tool.

Location based networking, looks to have tremendous potential effectively. In a recently concluded architecture conference, there was a small brainstorming session ; I am giving some excerpts below:-

Jack and Anne are both in Hawaii, for their business trips. Jack is a venture capitalist, and Anne is in business development for her startup. They don’t know each other but staying in the same hotel. They both have their own plans during the upcoming Saturday. Unfortunately on Saturday morning , it starts to rain and their plans gets spoiled.

How can location based networking help
With a location based networking tool , both Jack and Anne can find each other with similar keywords,”staying at Hilton”. Now the relationship engine navigator searches the network and can find Jack , Anne and other people staying at Hilton. This is also possible through GPS , but I think Relationship Engine would be a better choice, as it used certain features available in GPS too.

Once Jack has found Anne, or other people they can request for a invite and get connected. So the dull weekend may turn out to be a business opportunity for Jack and Anne.

Six degrees of seperation – science of a connected age

A couple of weeks back I had attended a Yahoo Big Thinker seminar. The topic name was “Six Degrees of Separation – The Science of a connected age, and the speaker was Duncan Watts. The agenda was the same as in other seminars, so I was curious enough about the presentation.

On registration we were handed over a goodie, ( mine was a USB Led ) and the seminar kit. As I chatted with my friends there over coffee , I did not have any idea what exactly the speech was on. After the tea, we all sat inside the ball room waiting for the seminar to start off. There were some slides being shown, about Yahoo, and I continued to watch them.

Soon the speaker , Duncan Watts had arrived. He started his speech on the small world theory. He was an amazing speaker, and was very crisp and clean in the entire presentation.

He had addressed one question, that “it is difficult to get a doormans job in New York”. That is because the person who brings in the doorman should be trustworthy.

This statement opened up some interesting questions on semantic search in the Q & A session. How does a web agent validate the trustworthiness of the person.

I guess LinkedIn tries to acheive this by asking the user several questions, when the user requests to add a contact. But it is not fool proof , supposing the user ( A ) knows something about the requested contact ( B ) ; then A has several ways to access B – first he can send a request ; and lets say B accepts the request then A and B are contacts – so this not a fool proof idea either.

I did not get any specific answer in the seminar, what I got was this kind of stuff needs to revisited and someone should come up with a design … so you see thats a long way to go.