| | Best practices for building large React applications (siftscience.com) |
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153 points by mtschopp on Aug 11, 2015 | past | 23 comments
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| | Crucial Sass Mixins/Placeholders for Responsive Web Design (siftscience.com) |
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4 points by noahgrant on July 25, 2015 | past
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| | From Marionette to React (siftscience.com) |
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6 points by noahgrant on June 20, 2015 | past
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| | Migrating from Rails+Marionette to React (siftscience.com) |
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16 points by jasontan on June 9, 2015 | past
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| | d-Threeact: Making d3 and React the Best of Friends (siftscience.com) |
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160 points by henneska on May 23, 2015 | past | 6 comments
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| | Making React and D3 Play Nice Together (siftscience.com) |
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5 points by noahgrant on May 21, 2015 | past
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| | D-Threeact: How Sift Science Made D3 and React the Best of Friends (siftscience.com) |
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23 points by noahgrant on May 19, 2015 | past
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| | React JS Best Practices (siftscience.com) |
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252 points by lopatin on May 9, 2015 | past | 89 comments
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| | Best practices for building large React applications (siftscience.com) |
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14 points by lopatin on May 7, 2015 | past
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| | How Sift Science Rebuilt Its App on React and DropWizard (siftscience.com) |
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73 points by necubi on April 28, 2015 | past | 12 comments
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| | Seven habits of highly fraudulent users (siftscience.com) |
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390 points by necubi on July 31, 2014 | past | 139 comments
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| | Fraud Signal: Doral, Florida (siftscience.com) |
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2 points by izzypark on July 30, 2014 | past
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| | E-commerce Fraud Facts (siftscience.com) |
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77 points by jasontan on Sept 12, 2013 | past | 45 comments
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| | The (un)usual suspects – global fraud by country (siftscience.com) |
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14 points by divad12 on Aug 13, 2013 | past | 4 comments
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| | Mobile e-commerce fraud detection (siftscience.com) |
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22 points by jasontan on July 30, 2013 | past | 2 comments
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| | Machine Learning for Poets (siftscience.com) |
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17 points by jasontan on July 23, 2013 | past | 2 comments
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| | Mobile fraud detection in iOS 7 (siftscience.com) |
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26 points by jasontan on July 17, 2013 | past | 9 comments
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| | Thinking strategically about credit card chargebacks (siftscience.com) |
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2 points by jasontan on July 11, 2013 | past
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| | Fight fraud frugally (siftscience.com) |
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57 points by jasontan on June 26, 2013 | past | 13 comments
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| | Announcing Sift Science: fight fraud with large-scale machine learning (siftscience.com) |
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126 points by brandonb on March 19, 2013 | past | 32 comments
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| | Why are payment forms so complicated? (siftscience.com) |
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245 points by brandonb on March 7, 2013 | past | 166 comments
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| | Sift Science, blocking high risk users before they do damage to your site (siftscience.com) |
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2 points by urlwolf on Dec 20, 2012 | past
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