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With invitations to connect on LinkedIn all too easy to send and accept, you may not even know who some of the people are in your LinkedIn network, or even how they got there. It’s become very big, and can be used very loosely by people, so much so that unless you are really on top of your LinkedIn game, or very conservative with how you accept and make connections, you will likely have a lot of “connections” in there whom you have never met, spoken to or corresponded with. The challenge that Conspire is tackling is an all-too-familiar one for those of us who use LinkedIn.Īlthough LinkedIn indicates to us the path of people that connect us to others - including details such as whether we are linked by one, two, three or more degrees of separation - the problem is actually in LinkedIn itself. The funding will be used to build out Conspire’s team and product. It’s also now raised a seed round - $2.5 million from David Cohen and the Techstars incubator that he runs out of Boulder, Colorado, where Conspire is also based. It also lets you keep tabs on your connections, letting you explore your volume of email, average response times, most frequent contacts, and a list of people you’re losing touch with.Ĭonspire has been quietly growing for the last several months and says that it now has some 13 million people placed in its analytical web from a user base that is far smaller than that - under 10,000.

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“We see a network as something that is constantly evolving and changing and we want to update that for you,” founder Alex Devkar says. The relationship graph is then created and updated in the background after you sign up for the service - meaning it’s always there for you to tap.

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The maximum number of “hops” in the path are three - meaning two people between you and your target.Ĭonspire, which is currently free to use, does all this with privacy in mind: it does not alter your email when it analyses it it doesn’t store your email, it doesn’t send messages on your behalf, and it doesn’t look at the body of the message, just the header. Then, the logic goes, when the chain of introductions get created to connect you through to someone, you are travelling on far more secure footing - with resulting mapped paths marked as “strong” if they are really reliable. “Reliable” becomes the operative word here: the chain is based not on whom you know, but how well you know them, analysing things like frequency of contact, how recently you have interacted, the response time, and relationship length. It taps into your communications platforms - starting first with email and those who use Gmail or Google Apps email - and then uses big data analytics to find the most reliable chain of connections between you and the person you want to meet.

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Now, a new startup called Conspire is hoping to dig into that marketshare (and mindshare) with a new approach for how to meet people. LinkedIn - now with over 300 million users - has become the go-to platform for networking in the business world.