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http://traffic.libsyn.com/sedaily/SemilShah.mp3Podcast: Play in new window | Download An engineer who wants to start a business using investment capital needs to understand the expectations of investors. The market for the business needs to be huge. The team needs to have a differentiated understanding of the market, or a differentiated product. The CEO needs to have the determination to continue operating the company even when it gets very difficult. And the price
http://traffic.libsyn.com/sedaily/PaulMartino.mp3Podcast: Play in new window | Download In 2003, Paul Martino co-founded Tribe.net, one of the earliest social networking sites. Tribe had significant traction, with hundreds of thousands of users. In the early 2000s, hundreds of thousands of users was enough traffic to pose a company with engineering challenges. Paul had studied computer science, and was able to use his knowledge of high-performance computing to write an efficient graph database,
http://traffic.libsyn.com/sedaily/CodingVC.mp3Podcast: Play in new window | Download The underlying cause of failure for many startups is that the founders are afraid of discomfort. An environment where everyone is comfortable is unlikely to be an environment where personal growth and value creation is occurring. When you are in a startup, calibrating the right amount of discomfort is often about calibrating risk. What are your risks? Can you quantify them? Can you
http://traffic.libsyn.com/sedaily/VijayPandeQuantum.mp3Podcast: Play in new window | Download Quantum computing is based on the system of quantum mechanics. In quantum computing, we perform operations over qubits instead of bits. A qubit is a vector, which can take on many more values than 0 or 1. The technology used to implement quantum computers is advancing such that it has its own Moore’s Law, but it can also leverage the classical advancements of
http://traffic.libsyn.com/sedaily/ChrisDixon.mp3Podcast: Play in new window | Download The history of computing can be thought of as a series of ideas rather than objects. From Aristotle’s formalization of the syllogism, to Alan Turing’s model for an all-purpose computing machine, to Satoshi Nakamoto’s distributed transaction ledger–these breakthroughs did not come in the form of polished, tangible objects. In fact, the objects which end up changing computing fundamentally are often built from ideas
http://traffic.libsyn.com/sedaily/crispr_edited.mp3Podcast: Play in new window | Download CRISPR is a technique for altering the human genome. It might be the most powerful tool for biological modification that we have ever discovered. In this episode, we explore CRISPR: how it works, why it exists in the natural world, and the implications for being able to modify DNA so easily. Geoff Ralston is a partner at Y-Combinator. He wrote an article entitled
http://traffic.libsyn.com/sedaily/CloudNativeComputing.mp3Podcast: Play in new window | Download Making the right engineering choices in today’s wide landscape of cloud technologies is hard. Predicting the future in order to invest in companies in this space has the same level of complexity. The cost of cloud computing is going down but the volume of total required space and processing power is going up. The open source community is growing and improving but people
http://traffic.libsyn.com/sedaily/endofcloud_edited.mp3Podcast: Play in new window | Download Cloud computing has pushed computation away from our own private servers and into virtual machines running on a data center. In the world of cloud computing, processing is centralized in these data centers, and our smartphone and laptop application performance suffers from having high latency between the client and the cloud server. As machine learning proliferates, the current model of cloud computing will
http://traffic.libsyn.com/sedaily/winningwithdata_edited_2.mp3Podcast: Play in new window | Download Large technology companies have no shortage of data. But raw data itself does not provide a competitive advantage. Many companies are bottlenecked by a shortage of data scientists who can query that data effectively. This results in an organizational dysfunction where people lining up to ask questions of the data science team are unable to move as fast as they want to. Tomasz
http://traffic.libsyn.com/sedaily/Commodity_Discussion_Edited.mp3Podcast: Play in new window | Download A previous episode of Software Engineering Daily called “You Are Not A Commodity” received a lot of feedback, both negative and positive. The episode was a monologue I wrote about why engineers should build products on their own as a default career path, rather than work at a large corporation as a default career path. A reddit thread about the episode was
“Actually it’s more work to turn a table into a chair, than it is to just make a damn chair.”
“We saw a really great opportunity to build a food company that takes technology seriously from the ground up, and have that be our competitive advantage as we grow and scale.”
http://traffic.libsyn.com/sedaily/digital_ocean_edited.m4aPodcast: Play in new window | Download “It’s a classic case where you have to be contrarian. It seems like the worst idea in the world to start a cloud hosting business. We didn’t know any better.” Moisey Uretsky is the cofounder of Digital Ocean, a leading cloud hosting provider based in New York. “It’s the usual immigrant story. My parents moved to America when we were four or five.
Changing your occupation to a software engineer is easier today than ever before.
Former Andreesen-Horowitz partner Preethi Kasireddy saw excited software engineers coming through the doors every day, pitching their ideas. This was her impetus to take the leap and make the career switch to software engineering.