20 April 2014

The Ruby Reflector

Topic

Tweets

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On Labnotes 7 months ago.
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§ A scientific guide to posting tweets, Facebook posts, emails and blog posts at the best time :

The company thought that when users were signing up to an email list, that was probably a good time of day for them to be online, so sending emails to them at that same time of day would work best. By analyzing the behavior of each individual user, eBags sent out emails to users at the same time of day they had signed up for the email list.

This actually worked incredibly well: click-through …

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By Assaf Arkin of Labnotes 7 months ago.
Email

§ A scientific guide to posting tweets, Facebook posts, emails and blog posts at the best time :

The company thought that when users were signing up to an email list, that was probably a good time of day for them to be online, so sending emails to them at that same time of day would work best. By analyzing the behavior of each individual user, eBags sent out emails to users at the same time of day they had signed up for the email list.

This actually worked incredibly well: click-through …

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By Joey of Global Nerdy 1 year ago.
Email

…incident and the ensuing fallout , the emails — but notably, no tweets, Facebook comments or any sort of messages delivered in the open - have been trickling in, asking what my thoughts on the matter were, given that:

I've been a developer evangelist for about a decade , and

My reputation for having a ribald sense of humour.

My answer: wait .

With the intersection of a lot of "hot button" issues: privacy, privilege, sexism, racism, …

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By Joey of Global Nerdy over 1 year ago.
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…at the end of the 24-hour sampling period: Tablet Number of "First time on this tablet " tweets Apple iPad 1,795 Amazon Kindle 250 Google Nexus 100 Microsoft Surface 36

Indirect Metric #3: Store Wars

The scene in the video above — recorded at Lone Tree, Colorado's Park Meadows Mall on Black Friday — seems to be playing across the U.S. and Canada, wherever Apple and Microsoft stores are in the same mall. This pretty much captures what's …

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By Todd Hoff of High Scalability over 1 year ago.
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1B Tweets Every 2.5 Days : Twitter. 1 billion transactions/day : Salesforce.

Storing 700 terabytes of data into a single gram of DNA . Downside, reading is very slow . And any data might conflict with the messages aliens have already inserted.

Assuming my infonome is 1 TB, it would cost $ 1,338,333 to store my existence in Amazon Glacier for a long nowish 10,000 years. # notbad

Quotable Quotes: …

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By Noah of Signal vs. Noise over 1 year ago.
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…reply given the presence of a given phrase: Word Portion requiring immediate reply All tweets 12.3% " svn" 0.2% "job" 0.5% "support" 17.3% " highrise" 20.8% "campfire" 26.9% "help" 35.4% " basecamp" 49.5%

This isn't earth shattering—this is exactly what you'd expect, and is the basis for the rudimentary classification we initially used.

With our data loaded and cleaned, we'll get started …

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By Noah of Signal vs. Noise over 1 year ago.
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It's very simple - an infinite scrolling list of all Tweets that mention 37signals from newest to oldest. Tweets that have been resolved are shown grayed out, and can be completely filtered out if you want.

You can reply to a tweet, retweet it, share it to Campfire, or mark it as resolved. Once you reply to a tweet, that reply shows up in the history, so we always know who replied. There are keyboard shortcuts to move up and down through the list of unresolved tweets. When new tweets …

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By Rob of Software by Rob over 1 year ago.
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This artice is a guest post from Joel Gascoigne. Joel is is the founder of Buffer , a smarter way to share great articles with friends and followers. He Tweets at @ joelgascoigne and writes regularly on his blog about startups, life, learning and happiness.

I was speaking at an event last week about the lessons I've learned along my startup journey, mostly focused on my recent experience of founding and growing Buffer . The first lesson I talked …

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By Leigh Shevchik of New Relic almost 2 years ago.
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…to deliver sports information as quickly as possible. Fanium aggregates and filters Tweets in real-time from local sports writers, analysts and official team Twitter accounts. A stream of these Tweets accompanies live scores to give users the most up-to-date information about their favorite teams.

Within hours of launching, we began to question the speediness of our site. While it was not dreadfully slow by any means, we were expecting lower response times due to the clutter-free, low …

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By Adron Hall of New Relic 2 years ago.
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…and Part 2 of this series. Because of the number of emails, comments, Tweets and other messages, there is an apparent need to add more context to PaaS, the NoOps/AppOps/DevOps thought, and how Cloud Foundry is stepping up to make this future happen.

Double Featurette, Part One: Context, Answers, and Thoughts on PaaS + OSS Cloud Foundry

Polyglot Coders

We know that the polygot inception is happening. However, many of us (myself included) are extremely …

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