Posts Tagged ‘interior’
Review: Booq Mamba Shift L laptop backpack
Short version: An excellent backpack for bloggers or the Batman. It has a ton of pockets and compartments, lots of space, a padded laptop section, and a water-resistant exterior

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Review: Booq Mamba Shift L laptop backpack
Taking analog to a new level: the 01 wristwatch
As much as I love digital watches (and watches that take some work to read ), there is something comforting about an analog dial. And the 01 watch takes analog dials to a whole new turning disk level.

Ford and MIT studying driver stress levels
Your next Ford might have flowers, pastel colors, or calming scents coming from the interior.

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Ford and MIT studying driver stress levels
Test Drive: 2010 Volkswagen GTI
The new 2010 Volkswagen GTI is a stylish and versatile piece of machinery.

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Test Drive: 2010 Volkswagen GTI
Great, Seattle middle-schoolers are making shanks now
I just came across this story in the neighborhood newspaper. I can’t find it anywhere online

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Great, Seattle middle-schoolers are making shanks now
Design Community Decorati Will Be Your Personal Interior Decorator

The interior design industry has been characterized as archaic thanks to a lack of digital presence. Decorati is hoping to change this by digitizing and democratizing the interior design space with its online platform for both interior decorators and consumers who are looking for professional design advice and guidance.
Interior designer and Decorati founder Shane Reilly was frustrated that trade-only manufacturers which produced high-end furniture did not publish their listings of products online. Interior designers would have drive to a design center to see samples or flip through three-ring paper binders for trade-only products, and then submit a purchase order via fax or mail. To offer decorators an easy alternative, Decorati pools manufacturer data online and made it searchable across type, price, and lead time. The site has furniture listings from over 500 manufacturers who typically show only in design center showrooms. And with Decorati’s platform, consumers can shop for these products without needing a professional license, democratizing the industry.
It used to be through word of mouth or business listings that consumers were able to find interior decorators. Decorati, which has a database of over 20,000 designers across the U.S., allows consumers to search for interior decorators by location and type of design. On the flip side, consumers can submit a project inquiry to Decorati’s Design Advisors program and Decorati will match them with up to five designers that match the consumer’s style and needs. This is also a revenue stream for Decorati, because designers purchase the leads. Decorati also makes money from commissions from any product bought via the site’s platform and through advertising on the site.
Another compelling feature on Decorati is the ability for interior designers to upload portfolios and tag each piece of furniture and accessory with identifying information. This benefits the designer because the portfolio is linked wherever the product shows up, and it lets the consumers can see how to use the product.
And Decorati has recruited several big-name investors, board members and advisors, including Peter Thiel (investor), Keith Rabois (board member), Steve Chen (advisor), Michael and Xochi Birch (advisors), and Scott Faber (advisor).
While the prices for furniture on Decorati aren’t cheap, the site definitely lowers the costs by letting consumers access high-end furniture and design ideas without the help of a costly decorator. And if you do want to hire a professional, the site makes it fairly easy to find one that matches your needs.
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Take a virtual trip on a Russian sub
EnglishRussia has a fantastic photo set showing the inards of a Russian sub.

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Take a virtual trip on a Russian sub
Anvil Motion cabinets: crazy cool and crazy expensive
I’ll seriously try to withhold any jokes about us becoming lazy or references to Asimov’s Three Law of Robotics in this post. Also, I’ll try not to talk about how people like you and me will never ever have a system like this installed in our homes. With all that out of the way, I present to you Anvil Motion computerized kitchen cabinets and the decline of the human race.
Caterina Fake’s Hunch: “Yahoo Answers Is Not The Answer.”

In search, nobody wants to go up against Google. Even Microsoft is trying to position Bing as a “decision engine” even though it is really just a search engine. But Hunch, a startup which launched publicly today, is an actual decision engine. The only thing it attempts to do is help you make a decision through a question-and-answer interface.
Hunch is part of a recent flowering of Q&A sites (such as Aardvark and Mahalo Answers) which address a part of search that is orthogonal to what Google does. In part, these startups are responding to the success of Yahoo Answers, but they also push beyond what Yahoo Answers does. Flickr co-founder Caterina Fake, who worked on Yahoo Answers before she left Yahoo and is now running product design at Hunch, says: “Yahoo Answers is not the answer.”
The problem with Yahoo Answers is that most of the answers aren’t very good. As long as one answer is good, that is the one which comes up highest in results. But it doesn’t really learn from all the answers to a particular question come up with a better answer. Fake explains: “The question has been asked and answered thousands of times. Collective knowledge systems don’t work unless they retain knowledge, you can add knowledge to them in a simple and straightforward way, and it gets smarter every time somebody uses it.”
I had a long discussion with Fake about what Hunch is trying to do on Friday. You can search for questions which have already been entered into the system, or add your own. Each question is actually a series of questions with multiple-choice answers which take you down different paths (or, “decision trees’). The questions and answers are contributed by Hunch’s community (so far the site has been seeded by its 40,000 beta users). “Anyone can add a new set of sub-questions to main question, and improve the overall results in the same way that many people can contribute to the same Wikipedia article to make it better or add tags to someone else’s photos on Flickr. It only takes aminimal effort to make each question marginally better.
For instance, the question “Should I get a convertible?” leads to a series of other sub-questions aimed at helping you make that decision: “Are you okay with the possibility that you’ll pay more for a convertible?”; “How’s the weather in your city/country?”; “Do you live somewhere known for car theft or crime?”; “Do you keep a lot of things loosely scattered around the interior of your car?”; “”Do you often wear fancy or personally valuable hats or scarves?” After you answer all the questions, you get an answer. This could be a yes or no answer or s specific recommendation, such as what blogs you should read.
At the end of this process, you tell Hunch or not you agree with the result. Hunch not only has a results algorithm, but also has a question selection algorithm, which it tunes to each person. Theoretically, the more questions you answer on Hunch, the more it knows about you and the better follow-up questions it can present to come up with the best final answer. It sounds complicated, but the user interface is simple and game-like. You are presented with a series of questions, and you click on the answers which apply to you. Then at the end, you get an answer to the original question you were exploring.
Fake estimates that about 40 percent of the topics on Hunch right now are monetizable with ads or affiliate links. If you try to use Hunch to figure out which camera you should buy, for example, and the answer turns out to be the Nikon D80, already you will see a sponsored affiliate link to Amazon. Other business models might emerge in the future.
Other sites will be able to tap into Hunch’s question-selection and answer-selection algorithms to create their own Q&A system. Using Hunch’s API, a developer could create a custom product recommendation app for retail sites. Bob’s Bait And Tackle shop could set up a series of questions and answers to guide shoppers to the perfect fly or fishing tackle. All of these questions and answers would then feed back into Hunch’s core system. The more people who use the system, the smarter it should get.
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