David Teten
FEBRUARY 2, 2012
By contrast, as a venture capitalist, I can report that almost all of our portfolio companies are desperate to hire talented software engineers, and eager to hire in a range of other roles. The first and primary role of a government is to provide basic public goods competently.
ReadWriteStart
JUNE 16, 2011
In the case of Freshdesk, their main competitor, Zendesk, is operating with a San Francisco - Copenhagen cost-structure and will find it harder to compete with this strategy. They charge $9, $29 and $59 per agent per month and I am eager to see bootstrapped, scrappy Freshdesk morph their pricing structure to aggressively compete with them.
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View from Seed
DECEMBER 17, 2015
Saurya Velagapudi is a senior software engineer at Google, based in their Cambridge, Mass., I recently chatted with Saurya about how he approaches hiring engineers at Google and what founders can learn. We also talked about how he’d want to be interviewed if approached by a non-technical startup founder. (I’ve
www.starling-software.com
OCTOBER 8, 2012
Programmer Competency Matrix. Software Engineering. Knows difference between clustered and non-clustered indexes. Reads tech/programming/software engineering blogs and listens to podcasts regularly. Computer Science. 2 n (Level 0) n 2 (Level 1) n (Level 2) log(n) (Level 3) Comments. Author of framework.
blog.alinelerner.com
JUNE 21, 2013
As soon as you get someone who’s never been an engineer making hiring decisions, you need to set up proxies for aptitude. Bemoaning that non-technical people are the first to filter resumes is silly because it’s not going to change. What can change, however, is how they do the filtering.
www.joelonsoftware.com
MARCH 24, 2010
Fog Creek explicitly recognizes that many good software engineers have no desire whatsoever to do "management" or to take on a formal personnel management role. One of the purposes of the Fog Creek Professional Ladder is to create a career path with promotions for engineers who simply do not want to do management stuff at all.
ConversionXL
AUGUST 1, 2019
to be competent, optimizers need a basic understanding of statistics and propensity models. Regression is a good option because it’s very interpretable for non-technical audiences, which means it can be communicated easily. For example, do you know the difference between linear and logistic regression models?
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