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Startup Review: SnappyFingers.com - A Search Engine For QnA/Faq’s
(1 votes, average: 2 out of 5)
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Its a saturday and though there is no Startup Saturday happening in Mumbai today but that doesn’t stop us from covering an interesting bangalore based startup. The startup we are taking about is Snappyfingers.com
which is a Question and Answer search engine.
About SnappyFIngers
Snappyfingers crawls and indexes FAQs spread across the Internet, and provides search results in a Question/Answer format.
The site is in beta and Founder Chirayu Patel informed us that it currently has a database of 3 million questions. He aslo stated that their crawlers are working hard and they plan to increase the number of questions aggressively in the coming months.
WATBlog’s Take
Concerns - We think the concept is interesting but what might be an issue is the credibility of the source of these answers which are being aggregated from the web. But besides for that this seems like an interesting tool to say the least.
Why we think it rocks! - Personally we found great use for this to teach anyone about anything general (Not specific) and related stuff they are looking for and worked much better than google and wikipedia.
Dont believe me? Well lets take for example I dont understand what liquidation of a company is?
I searched the keyword “liquidation” across google, wikipedia and snappy fingers.
Check screenshots of the three sites below:
Wikipedia
Snappyfingers
As you can see from the screenshots above snappy brings out the most relevant results when it comes to answers while google gives me websites which contain liquidation as a keyword and wikipedia gives me an extended definition.
Conclusion: On the whole the limitation for snappy fingers is that it still is good only for basic questions once someone goes specific like we tried searching a solution for a specific wordpress error and there was no result but google gave me those results. So on the whole the challenge is how much more data snappyfingers can crawl and index as we think the way they represent the data might be liked by the average and below average internet user who is usually looking for answers. (Look at the way yahoo answers and rediff answers have gained traction in India)
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