Centralisious

About Productivity, Social Networks and everything else I'm interested in

Stealth startup Linqia pulls in $3.4M to connect community managers with brands

http://venturebeat.files.wordpress.com/2012/09/linqia.jpg

According to an SEC filing, Linqia, a stealth startup that describes itself as a pay-for-performance network for advertisers, has pulled in its first round of funding.

The securities and exchange filing shows that the startup has raised $3.4 million. Javelin Venture Partners’ managing director, Jed Katz led the round; his name appears on the Form D. Katz told me, “Becoming part of the conversation is the major objective of social marketers, and Linqia’s platform serves that to them on a silver platter.”

Linqia is a promising startup that has been in stealth mode since 2011, according to Crunchbase. However, this TechCrunch article shows it first appeared on the scene in 2009 when it raised a small seed round in Europe. At that time, it was held by Starfish Community Group. The team was originally based in Barcelona, but it recently relocated to San Francisco. With this first major infusion of cash, it may be time for the company to lift the veil off its technology and show us what it’s got!

From what I’ve gathered from scattered interviews with the media, here’s how Linqia works: If a company or brand wants to target a community or group, they write a pitch, upload social content or other messages, and deliver it to community managers via Linqia’s website. The idea is that community managers (LinkedIn group leaders, forum leads, and so on) have worked hard to build up a dedicated following, exactly the audiences that brands desperately want to reach. So, why not connect the two?

Linqia’s cofounders are Australian entrepreneur Maria Sipka, formerly the COO for XING, the European social network for businesses; and Nader Alizadeh, the former cofounder and SVP of Sales for Lithium Technology.

Filed under: deals, VentureBeat


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Big data and strategic choice

Michael Schrage writes:

Instead of asking, “How can we get far more value from far more data?” successful big data overseers seek to answer, “What value matters most, and what marriage of data and algorithms gets us there?” The most effective big data implementations are engineered from the desired business outcomes in, rather than the humongous data sets out. Amazon’s transformational recommendation engines reflect Bezos’ focus on superior user experience rather than any innovation emphasis on repurposing customer data. That’s real business leadership, not petabytes in search of profit.

Too many executives are too impressed — or too intimidated — by the bigness of the data to rethink or revisit how their organizations really add value. They fear the size of the opportunity isn’t worth the risk. In that regard, managing big data — and the ambitious algorithms that run them — is not unlike managing top talent. What compromises, accommodations and judgment calls will you consider to make them all work well together?

Executives need to understand that big data is not about subordinating managerial decisions to automated algorithms but deciding what kinds of data should enhance or transform user experiences. Big Data should be neither servant nor master; properly managed, it becomes a new medium for shaping how people and their technologies interact.

Big data as an entity part of the strategic decision making of organizations.

Pythonista Trick: URL to Markdown

http://www.macdrifter.com/uploads/2012/09/2012-09-13%2018.37.05_600px.png

Here’s a nice little tool I made in Pythonista for iOS (review). This script is using Brett Terpstra’s awesome heckyesmarkdown web service, which is extremely useful and underrated.

To use this script, I copy a URL to the iOS clipboard and jump into Pythonista. I trigger this script to get the web page in Markdown encoded text.

This URL: http://www.macdrifter.com/2012/09/nfc-is-a-crutch.html

is turned into plain text and put back on the clipboard. The results are displayed in a popup Pythonista browser window:

Here’s the script:

import clipboard
import urllib2
import webbrowser

clipString = clipboard.get()

marky = 'http://heckyesmarkdown.com/go/?u='

queryString = marky + clipString

reqMD = urllib2.Request(queryString)
openMD = urllib2.urlopen(reqMD)
content = (openMD.read().decode('utf-8'))
clipboard.set(content)

webbrowser.open(queryString)

The script started life with a mess of URL validations steps, but Brett’s service is so awesome that it just fails gracefully with bad URL’s. But I did try out the new Pythonista console.alert() method. I like it.

via Macdrifter http://www.macdrifter.com/2012/09/pythonista-trick-url-to-markdown.html