tkmcc

I've been working on https://switchfrog.com to help you with that :)

I am building a product to help with this, please write me (email in profile), I would love to hear more about what you're trying to protect.

Faire (YC W17) | Software Engineer (Data Infrastructure & Platform), Data Engineer | Full-time, Remote or Hybrid (US & Canada)

Faire is an online wholesale marketplace built on the belief that the future is local — there are over 2 million independent retailers in North America and Europe doing more than $2 trillion in revenue. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants.

By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

Our Data & Algorithms department is growing rapidly and already includes experienced Data Scientists and Engineers from Airbnb, Facebook, Quora, Square, Uber, and Pinterest. Faire will soon be known as a top destination for data science and machine learning, and you will help take us there!

Apply here: https://grnh.se/b2e3c5552us (US)

or https://grnh.se/ad3ff6a32us (Canada)

Faire (YC W17) | Software Engineer (Data Platform), Data Engineer | Full-time, Remote or Hybrid (US & Canada)

Faire is an online wholesale marketplace built on the belief that the future is local — there are over 2 million independent retailers in North America and Europe doing more than $2 trillion in revenue. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants.

By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

Our Data & Algorithms department is growing rapidly and already includes experienced Data Scientists and Engineers from Airbnb, Facebook, Quora, Square, Uber, and Pinterest. Faire will soon be known as a top destination for data science and machine learning, and you will help take us there!

Apply here: https://grnh.se/b2e3c5552us (US)

or https://grnh.se/ad3ff6a32us (Canada)

Faire (YC W17) | Senior+ Data Engineer, Senior+ Data Scientist, Senior+ Machine Learning Engineer, Research Scientist, Senior+ Software Engineer | Full-time, Remote or Hybrid (US & Canada)

Faire is an online wholesale marketplace built on the belief that the future is local — there are over 2 million independent retailers in North America and Europe doing more than $2 trillion in revenue. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants.

By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

Our Data & Algorithms department is growing rapidly and already includes experienced Data Scientists and Engineers from Airbnb, Facebook, Quora, Square, Uber, and Pinterest. Faire will soon be known as a top destination for data science and machine learning, and you will help take us there!

Apply here: https://grnh.se/dcdb1a632us#4002179002

Faire (YC W17) | Analytics Engineer, Data Engineer, Data Scientist, Machine Learning Engineer, Research Scientist, Software Engineer, Interns (Data Scientist Intern, Data Infra Engineer Intern, Machine Learning Engineer Intern) | Full-time, Remote or Hybrid (US & Canada)

Faire is an online wholesale marketplace built on the belief that the future is local — there are over 2 million independent retailers in North America and Europe doing more than $2 trillion in revenue. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants.

By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

Our Data & Algorithms department is growing rapidly and already includes experienced Data Scientists and Engineers from Airbnb, Facebook, Quora, Square, Uber, and Pinterest. Faire will soon be known as a top destination for data science and machine learning, and you will help take us there!

Apply here: https://grnh.se/dcdb1a632us#4002179002

Faire (YC W17) | Analytics Engineer, Data Engineer, Data Scientist, Software Engineer, Interns | Full-time, Remote or Hybrid (US & Canada)

Faire is an online wholesale marketplace built on the belief that the future is local — there are over 2 million independent retailers in North America and Europe doing more than $2 trillion in revenue. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants.

By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

Our Data & Algorithms department is growing rapidly and already includes experienced Data Scientists and Engineers from Airbnb, Facebook, Quora, Square, Uber, and Pinterest. Faire will soon be known as a top destination for data science and machine learning, and you will help take us there!

Apply here: https://grnh.se/dcdb1a632us#4002179002

Faire (YC W17) | Analytics Engineer, Data Engineer, Data Scientist, Software Engineer, Interns | Full-time, Remote or Hybrid (US & Canada)

Faire is an online wholesale marketplace built on the belief that the future is local — there are over 2 million independent retailers in North America and Europe doing more than $2 trillion in revenue. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants.

By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

Our Data & Algorithms department is growing rapidly and already includes experienced Data Scientists and Engineers from Airbnb, Facebook, Quora, Square, Uber, and Pinterest. Faire will soon be known as a top destination for data science and machine learning, and you will help take us there!

Apply here: https://grnh.se/dcdb1a632us#4002179002

Faire (YC W17) | Analytics Engineer, Data Engineer, Data Scientist, Software Engineer, Interns | Full-time, Remote or Hybrid (US & Canada)

Faire is an online wholesale marketplace built on the belief that the future is local — there are over 2 million independent retailers in North America and Europe doing more than $2 trillion in revenue. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants.

By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

Our Data & Algorithms department is growing rapidly and already includes experienced Data Scientists and Engineers from Airbnb, Facebook, Quora, Square, Uber, and Pinterest. Faire will soon be known as a top destination for data science and machine learning, and you will help take us there!

Apply here: https://grnh.se/dcdb1a632us#4002179002

Addressing your first point, Heroku charges $20/mo for HTTPS support and plenty of people pay for it: https://elements.heroku.com/addons/ssl

Original source from a few weeks ago: http://www.wsj.com/articles/an-unlikely-debate-prison-vs-har...

> Opera Mobile Store will replace Nokia Store as the default app store for Nokia feature phones, Symbian and Nokia X smartphones, following an agreement between Opera Software and Microsoft.

> The announcement follows a separate agreement, announced in August 2014, which will see Opera become the default browser on Nokia-branded phones, including Series 30+, Series 40, Asha and Nokia X handsets.

http://www.operasoftware.com/press/releases/mobile/release-2...

The post is timestamped "2 April 2015," but it still makes me wonder why they only gave two weeks notice.

There used to be Windows Services for UNIX (a.k.a. Subsystem for UNIX-based Applications):

http://en.wikipedia.org/wiki/Windows_Services_for_UNIX

https://technet.microsoft.com/en-us/library/cc771470.aspx

I've seen some recent polls where most responses said that Facebook Messenger was their preferred method of communication. Given that the poll was on Facebook, I still think it's reflective of many of my peer's (people raised with the internet) opinions. It's less of a context switch than going to email or some other method of communication. As Messenger's trajectory increases (see also: their features in response to Chinese messaging apps), it becomes more and more apparent why Facebook's acquisition of WhatsApp was a great idea.

This standalone Messenger app also widens business opportunities. A few days ago I was looking at suits on Bonobos and had a question about their construction that wasn't answered on the product page. I didn't immediately see a live chat link and I didn't feel like writing an email on a Sunday, so I messaged their Facebook page my question. They got back to me with a lengthy response in less than an hour. An interface like messenger.com makes it even easier to have asynchronous, almost-live customer service via Facebook messenger. It certainly made an impression on me.

Anyways, this is cool. Facebook's brightest days are still ahead of them.

Do xfinitywifi hotspots permanently authenticate clients based only on their MAC addresses? A malicious client could easily find the MAC address of any device connected to a xfinitywifi hotspot (by using e.g. airodump-ng [0]) and then spoof that device's MAC address on their own computer to access the internet via the hotspot without any authentication.

[0] http://www.aircrack-ng.org/doku.php?id=airodump-ng

Much more technical information: http://securelist.com/blog/research/69203/inside-the-equatio...

Can you index your own data with the Bing search API? This looks like it lets you run the same software that runs Bing with your own data as opposed to only what Bing has crawled. From the link:

> You can now more easily load data from Azure DocumentDB, SQL Server running in Azure VMs, and Azure SQL Database to Azure Search using new indexers. The indexer infrastructure provides a no-code solution that allows you to point Azure Search to your data store where it will ingest data as well as data changes on a scheduled basis.

That's not a joke: quite a few coffee machines around the Microsoft campus run embedded Windows, including one in the recruiting building's reception lounge.

Not necessarily, but if that's your use case (and the hashing speed isn't extremely critical), why not use a better algorithm with a larger output?

FYI to the OP: in README.md, the example usage of apply() is the example from and().

US customs officers can, upon attempted border entry, search and seize any baggage of any US or foreign citizen without a warrant or probable cause.

http://en.wikipedia.org/wiki/Border_search_exception

Just in case there's a dev around: Text does not appear (but is there) when I type in any of the boxes and submitting the form gave me an error. When I refreshed without the referral query string, a blank modal dialogue appeared that did not load any content within it. When I followed the link from this post again and resubmitted my email address it told me that I had already signed up. I'm using FF 33.1.1 on Windows 8.1

Pretty much.

First there's the Luhn algorithm, which "will detect any single-digit error, as well as almost all transpositions of adjacent digits. It will not, however, detect transposition of the two-digit sequence 09 to 90 (or vice versa). It will detect 7 of the 10 possible twin errors (it will not detect 22 ↔ 55, 33 ↔ 66 or 44 ↔ 77)." [0]

Then came the Verhoeff algorithm, which "was the first decimal check digit algorithm which detects all single-digit errors, and all transposition errors involving two adjacent digits, which was at the time thought impossible with such a code." [1]

The Damm algorithm was developed in 2004 and was a further improvement:

> The Damm algorithm is similar to the Verhoeff algorithm. It too will detect all occurrences of the two most frequently appearing types of transcription errors,[1] namely altering one single digit, and transposing two adjacent digits (including the transposition of the trailing check digit itself and the digit preceding it). But the Damm algorithm has the benefit that it makes do without the dedicatedly constructed permutations and its position specific powers being inherent in the Verhoeff scheme. Furthermore, a table of inverses can be dispensed with provided all main diagonal entries of the operation table are zero.

> The Damm algorithm does not suffer from exceeding the number of 10 possible values, resulting in the need for using a non-digit character (as the X in the 10-digit ISBN check digit scheme).

> Prepending leading zeros does not affect the check digit.

> There are totally anti-symmetric quasigroups that detect all phonetic errors associated with the English language (13 ↔ 30, 14 ↔ 40, ..., 19 ↔ 90). The table used in the illustrating example is based on an instance of such kind.

> Despite its desirable properties in typical contexts where similar algorithms are used, the Damm algorithm is largely unknown and scarcely used in practice.

That last point is also why I submitted this :)

[0] http://en.wikipedia.org/wiki/Luhn_algorithm

[1] http://en.wikipedia.org/wiki/Verhoeff_algorithm

> As part of the introduction of Music Key, YouTube’s music catalog is getting a makeover for all users, paying or not. The site will now offer complete albums, adding static video files with high-quality audio where no official videos are available.

This is great news for for the huge audience that builds massive music playlists on YouTube and uses them as their primary music consumption mechanism.

> For paying subscribers, YouTube will add two features that will be especially attractive to users on mobile devices: the ability to play songs in the background while using other apps and to save songs for offline listening.

Really? Both of these features are implemented in plenty of third-party apps. I guess it makes more sense to view the service as a Google Play Music subscription with some added goodies, but still...

From the linked article:

> Q: How does Visual Studio Community 2013 compare to other Visual Studio editions?

> A: Visual Studio Community 2013 includes all the great functionality of Visual Studio Professional 2013, designed and optimized for individual developers, students, open source contributors, and small teams.