Powerset’s Dilemma: Go For It, Or Sell
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Powerset could make a killing licensing it's search to large businesses who are swimming in data, especially pre-digital data. Applying a natural language program to these archives can associate relevant information and tie it to other piles of data. There's real (non ad-supported!) growth potential for Powerset as a B2B.
1. MSFT has cash in the bank and the Yahoo acquisition didn't go thorough
2. They are even more desperate now to bolster anything & everything to do with search & monetization
3. The perceived value of search companies (Powerset, Cuill) is higher since there are very few search companies that can allegedly make a difference to begin with, and even fewer buyers
Powerset is valued at 42 million (see venture beat article), if they are bought for 3x-5x that amount by msft and they can retain their independence they should probably go for it. If Powerset needs the same kind of computing resources, msft would be a better bet in supplying that.
Msft did something similar with TellMe in terms of retaining their independence apparently (no idea how far that is true).
I can deal with the company I work for being slammed on techcrunch, because that's what techcrunch is for. But to see the people on news.ycomb start jumping on that bandwagon makes me sad. This is supposed to be the place where startups are explored and taken seriously.
Powerset is not a micro-social site with some added value like some of my previous projects. Making a new search engine is a massive undertaking. It took google several years, but no one seems to want to give any challengers a real chance.
Console yourself with the thought that if PowerSet fixes this problem, you'll see a lot of haters become fanboys. Bear in mind, though, that the pre-bluster has historically been correlated with failure, not success, so people are skeptical. I've read about techniques that will cure cancer so many times.
Powerset has many employees. If the deal goes through it'd be interesting to see if MSFT gets them all to move.
Either way I wish those guys luck. Their founder Barney Pell seems like a cool guy.
Come on, someone please COMPETE!
Google's search engine wasn't revolutionary either. It was only moderately better than AltaVista and others. Most of all the visual design was cleaner. Google's main accomplishment was imo the introduction of AdSense.
* A better search algorithm than the competition
* Lack of paid-for search rankings, which were common-place previous to Google
* Tasteful, lightweight, fast design with a lack of intrusive banner ads
All 3 are largely taken for granted these days.
At the same time I am not in this situation so this may just be my idealism talking.
anyone care to enlighten me?
Has anyone else seen a demo of Powerset? Did you indeed experience the same remarkable 'Aha!' moment as Arrington?
Do you remember when you could tag your content with keywords and the search engine would naively trust that those keywords were relevant? I think Powerset will only excel in domains where that kind of trust makes sense--closed and/or heavily moderated communities.
Sometimes people have difficulty separating NLP from AI from an Arbiter of Truth. NLP is just understanding semantic information, it's not arbitrating truth/correctness (a.k.a 'you can't squeeze blood from a stone'-principle) nor is it some kind of HAL9000 that can take queries like, "9 people who have been CEOs and who have Christian names" and make sense of them.
In this regard of correctness/spam, Powerset and Google are in an equal starting position. If you search for "cures for cancer" or "causes of autism" on google you get some pretty factually incorrect results in the top 4.
In the case of Spam, check out what Google is forced to do with "hot-button" spam searches, like "Mesolithioma". Where did your standard search page go? :)
Hopefully when powerset has a public product people can play with it and see that really, what we're doing is an evolutionary step forward from keyword search, not some kind of boil-the-oceans-and-google-was-always-wrong-anyways approach.