Quantopian and Steve Cohen


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Quantopian has a big announcement today.  The company will manage up to $250 million of investment capital, provided by Steve Cohen.

The investment capital will be allocated to members of Quantopian who create successful trading algorithms on the Quantopian platform. The algorithm authors own all their own IP and are paid a royalty if they decide they want to accept investment capital to power their algorithm.

The WSJ has more details. My favorite pull quote from the article is where they describe the backgrounds of successful algorithm authors:

[T]he creators of winning algorithms include a mechanical engineer with a Ph.D. in computational fluid dynamics in Sydney, a data scientist at an internet mapping company in Denver and a consultant in Malta with a master’s degree in mineral and energy economics

If you see yourself echoed in the description of these folks and have been curious about algorithmic trading, explore Continue reading “Quantopian and Steve Cohen”

Quantopian and Steve Cohen


This post is by The Gong Show from The Gong Show


Click here to view on the original site: Original Post




Quantopian has a big announcement today.  The company will manage up to $250 million of investment capital, provided by Steve Cohen.

The investment capital will be allocated to members of Quantopian who create successful trading algorithms on the Quantopian platform. The algorithm authors own all their own IP and are paid a royalty if they decide they want to accept investment capital to power their algorithm.

The WSJ has more details. My favorite pull quote from the article is where they describe the backgrounds of successful algorithm authors:

[T]he creators of winning algorithms include a mechanical engineer with a Ph.D. in computational fluid dynamics in Sydney, a data scientist at an internet mapping company in Denver and a consultant in Malta with a master’s degree in mineral and energy economics

If you see yourself echoed in the description of these folks and have been curious about algorithmic trading, explore Continue reading “Quantopian and Steve Cohen”

Privacy Model for Notifications


This post is by The Gong Show from The Gong Show


Click here to view on the original site: Original Post




We live in a weird new era where I nearly always have full control of what information I share and whom I share it with (assuming I have an indefatigable interest in navigating permissions settings for my various social services), but I have no control over my information once it leaves me.  The consumption of my social content is entirely controlled by my followers, not me. This control model is simultaneously intuitive, correct, and disconcerting.

A classic example that comes up frequently for me is location. I’m perfectly fine with sharing my location with my friends through foursquare/swarm. I update Swarm multiple times per day and derive a lot of value from doing so. But I think it’s odd that, for people who have updates from me set to always notify them, some folks are constantly being reminded of my location, buzzing away in their pocket. This problem is not Continue reading “Privacy Model for Notifications”

Privacy Model for Notifications


This post is by The Gong Show from The Gong Show


Click here to view on the original site: Original Post




We live in a weird new era where I nearly always have full control of what information I share and whom I share it with (assuming I have an indefatigable interest in navigating permissions settings for my various social services), but I have no control over my information once it leaves me.  The consumption of my social content is entirely controlled by my followers, not me. This control model is simultaneously intuitive, correct, and disconcerting.

A classic example that comes up frequently for me is location. I’m perfectly fine with sharing my location with my friends through foursquare/swarm. I update Swarm multiple times per day and derive a lot of value from doing so. But I think it’s odd that, for people who have updates from me set to always notify them, some folks are constantly being reminded of my location, buzzing away in their pocket. This problem is not Continue reading “Privacy Model for Notifications”

The Darwinism of Encryption (Or… Why It Doesn’t Matter If You Side With Apple or The FBI)


This post is by The Gong Show from The Gong Show


Click here to view on the original site: Original Post




I’ve restrained my commentary on the Apple/FBI encryption debate to tweets so far, but I couldn’t find a way to say this in 140 characters, so blog post it is.

Digital communication is running a multi-decade inevitable march towards end-to-end encryption. In the beginning when the first ever TCP/IP packets were scooting around the ARPANET, all communication happened in the clear, unencrypted. There were no bad actors on the network; it was just a bunch of altruistic geeks freely routing forward each others’ packets (both academics and military, but all geeks nonetheless) cooperating together. After initial attacks against the network, it quickly became clear that one could not assume the man in the middle of your network path was your friend, and encryption started to emerge as a second layer of abstraction on top of TCP/IP (the military started first). 

Fast forward to today, and much of the basic Continue reading “The Darwinism of Encryption (Or… Why It Doesn’t Matter If You Side With Apple or The FBI)”

The Darwinism of Encryption (Or… Why It Doesn’t Matter If You Side With Apple or The FBI)


This post is by The Gong Show from The Gong Show


Click here to view on the original site: Original Post




I’ve restrained my commentary on the Apple/FBI encryption debate to tweets so far, but I couldn’t find a way to say this in 140 characters, so blog post it is.

Digital communication is running a multi-decade inevitable march towards end-to-end encryption. In the beginning when the first ever TCP/IP packets were scooting around the ARPANET, all communication happened in the clear, unencrypted. There were no bad actors on the network; it was just a bunch of altruistic geeks freely routing forward each others’ packets (both academics and military, but all geeks nonetheless) cooperating together. After initial attacks against the network, it quickly became clear that one could not assume the man in the middle of your network path was your friend, and encryption started to emerge as a second layer of abstraction on top of TCP/IP (the military started first). 

Fast forward to today, and much of the basic Continue reading “The Darwinism of Encryption (Or… Why It Doesn’t Matter If You Side With Apple or The FBI)”

Podcast with Nick Moran


This post is by The Gong Show from The Gong Show


Click here to view on the original site: Original Post




Nick Moran keeps a great podcast about VC and startups called Full Ratchet (the name is in reference to a particularly thorny term in venture deals… I hope you never need to face it).  He interviewed me a few weeks back, and Part I just went live today. Check it out. Part II coming tomorrow.

Podcast with Nick Moran


This post is by The Gong Show from The Gong Show


Click here to view on the original site: Original Post




Nick Moran keeps a great podcast about VC and startups called Full Ratchet (the name is in reference to a particularly thorny term in venture deals… I hope you never need to face it).  He interviewed me a few weeks back, and Part I just went live today. Check it out. Part II coming tomorrow.

This chart from fivethirtyeight shows a histogram of movie…


This post is by The Gong Show from The Gong Show


Click here to view on the original site: Original Post




This chart from fivethirtyeight shows a histogram of movie reviews from 5 different sources. The reason they made this chart is to show that aggregated reviews on Fandango are skewed too high and thus untrustworthy (which is an appropriate conclusion).

But I find this chart interesting for a different reason. The disproportionate 3.5 star reviews from IMDB and Metacritic caught my attention.

My partner Mo once asked my opinion of something by saying, “What’s your rating from 1 – 10 in a world of no sevens.” I didn’t quite follow at first, but then he explained that a rating of “seven” in general is like a non-answer. It’s safely positively neutral in a way that contains very little signal. If you can’t say “seven,” but you think seven is what you would say, you’re forced off the fence into either a “six” or an “eight.” It’s a Continue reading “This chart from fivethirtyeight shows a histogram of movie…”

This chart from fivethirtyeight shows a histogram of movie…


This post is by The Gong Show from The Gong Show


Click here to view on the original site: Original Post




This chart from fivethirtyeight shows a histogram of movie reviews from 5 different sources. The reason they made this chart is to show that aggregated reviews on Fandango are skewed too high and thus untrustworthy (which is an appropriate conclusion).

But I find this chart interesting for a different reason. The disproportionate 3.5 star reviews from IMDB and Metacritic caught my attention.

My partner Mo once asked my opinion of something by saying, “What’s your rating from 1 – 10 in a world of no sevens.” I didn’t quite follow at first, but then he explained that a rating of “seven” in general is like a non-answer. It’s safely positively neutral in a way that contains very little signal. If you can’t say “seven,” but you think seven is what you would say, you’re forced off the fence into either a “six” or an “eight.” It’s a Continue reading “This chart from fivethirtyeight shows a histogram of movie…”

Why Mobile-Optimized Works (pt 2)


This post is by The Gong Show from The Gong Show


Click here to view on the original site: Original Post




Yesterday I wrote a post showing how companies’ mobile-optimized websites are generally better than their desktop websites when viewed from a desktop browser.  It’s a somewhat dramatic conclusion to make given that companies usually have a comparatively rag-tag team focused on mobile-optimized design (all the mobile efforts typically get aimed towards App design instead of mobile-optimized design) in comparison to the richer and more established desktop design efforts.  Why would the output of an afterthought team be better for a desktop than the hard-earned, constantly-A-B-tested, decade-long-work-of-love from the desktop web design team? I think there’s a few reasons:

  1. Constraints are good.  When you’re designing for less screen real-estate, you are forced to make tough choices.  For example, you can’t decorate the right rail of a webpage with 20 junk-drawer menu links on mobile because there isn’t enough screen real estate for a right rail at all.  When you’re forced to Continue reading “Why Mobile-Optimized Works (pt 2)”

Why Mobile-Optimized Works (pt 2)


This post is by The Gong Show from The Gong Show


Click here to view on the original site: Original Post




Yesterday I wrote a post showing how companies’ mobile-optimized websites are generally better than their desktop websites when viewed from a desktop browser.  It’s a somewhat dramatic conclusion to make given that companies usually have a comparatively rag-tag team focused on mobile-optimized design (all the mobile efforts typically get aimed towards App design instead of mobile-optimized design) in comparison to the richer and more established desktop design efforts.  Why would the output of an afterthought team be better for a desktop than the hard-earned, constantly-A-B-tested, decade-long-work-of-love from the desktop web design team? I think there’s a few reasons:

  1. Constraints are good.  When you’re designing for less screen real-estate, you are forced to make tough choices.  For example, you can’t decorate the right rail of a webpage with 20 junk-drawer menu links on mobile because there isn’t enough screen real estate for a right rail at all.  When you’re forced to Continue reading “Why Mobile-Optimized Works (pt 2)”

Mobile Optimized is the New Ideal Desktop Browsing Experience


This post is by The Gong Show from The Gong Show


Click here to view on the original site: Original Post




When cruising through my Twitter feed on my desktop, I click on links that sometimes drop me on mobile-optimized pages. They are so much better designed than their desktop counterparts. These clicks inspired me to spend 5 minutes exploring the design contrasts at some of the most common sites I use.

Wikipedia: Here’s the normal Wikipedia experience in my browser…

… and here’s the equivalent mobile-optimized Wikipedia entry as viewed from my desktop browser. 


NYTimes: Here’s the normal NYTimes experience in my browser…

… and here’s the equivalent mobile-optimized NYTimes story as viewed from my desktop browser.  


Amazon: Here’s the normal Amazon experience in my browser…

… and here’s the equivalent mobile-optimized Amazon product page as viewed from my desktop browser.  

For this last amazon example, I couldn’t simply rewrite my url to visit m.amazon.com (which was my methodology for the first two examples). Amazon’s Continue reading “Mobile Optimized is the New Ideal Desktop Browsing Experience”