Gist lets you see all kinds of data from contacts, key companies and event attendees. Right now there is some value in what the app serves up. If you're willing to spend some time manually fixing up the streams associated with various contacts, then you could get a lot out of it right away. We reviewed the Gist web app last month and liked what we saw so far.

Unfortunately, it's very hard for any app like this to determine which social network profiles are really associated with the same people and which news coverage about a person is worth reading. (Hopefully the WebFinger protocol will help solve this problem for everyone someday.) If you try out the app you'll see that the signal-to-noise ratio is too weak to make for efficient, quick reading - but a quick scan for a contact's information could still help unearth some relevant information. It may be limited, a few weeks late and often incorrect - but savvy early adopters can still get some value out of it already. It's frustrating in more ways than I'm sure anyone cares to read about, but it's also worth trying out in hopes that the company will really nail it down the road. I know I sure want this to work.

Gist told me today that it is working with the Google Social Graph API for account discovery and MSpoke for disambiguation and content recommendations. Cleaning up the data is still the company's biggest challenge and one they've been working on from the start. The Google Social Graph API is a particularly gnarly tool for many startups like this - it's dependent on markup that too few people use and even fewer people use correctly.

None the less, you should give the Gist app a try if you'd like to see a vision of where the future could go. The fact that a team of very smart people with a good sum of venture capital invested is going to require more time to try and really nail the discovery of relevant, high-quality person-centric streams of information demonstrates what a challenge this important task really is.