Submissions from siftscience.com

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

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