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A product update from Hacker Noon's 'pleased as punch' fullstack

Austin here, your friendly neighborhood software engineer from Hacker Noon, with some exciting news!

We are pleased as punch to announce that as of Monday, September 30, 2019,all Hacker Noon stats pages will be powered by Google Analytics.

What does that have to do with the price of butter, you may ask?

- story by Austin Pocus

why hacker noon is even more awesome now

more of this month's top tech stories

on s oftware development, s tartups, saas, cybersecurity, careers, product management, and more.

✳️ Towards a Computerized Generation of Literature by @b obvanluijt
A few years back, I visited the Dutch consulate in San Francisco, where Dutch writer Arnon Grunberg talked about his work and life. His presentation seemed to be unprepared and quite random, which was great, because serendipitous entanglements can lead to fresh insights.

✳️ 4 Most Commonly Asked Algorithms In Coding Interviews by @rahulsabnis19

✳️ Tech Giants Need to F***ing Behave - To Put it Mildly by @gcuofano
In short, Google, a tech giant, started a process which in the business world can be defined of unbundling. That is not new, it's something that started with the web.

✳️ How Allison and Gregory Robinson Raised $11 Million For "The Mom Project" by @nathan

✳️ The 20 Slides That Raised $7 Million by @dave-balter
Nothing will happen without chemistry.

✳️ Streaming Revenue Growth Slowed by 19.1% Year-Over-Year in 2019 by @sergey.bludov

✳️ A Roundup Review of the Latest Deep Learning Books by @daniel-jeffries
For years, nobody wanted to read about AI. It was a backwater of research, solving toy problems while crashing and burning on real world challenges. But then came a flurry of seemingly overnight breakthroughs: Image recognition; self driving cars; Alpha Go.

✳️ A Peek into the Future of Higher Education - Can Artificial Intelligence Drive Remote Learning? by @peter-jobes

✳️ Busting AI Myths: "You Need Tons of Data for Machine Learning" by @F rederickBussler

Commonly held belief: "Anyone on a mission to create a first-class AI-powered product needs vast amounts of data to feed to the machines," because multiple parameters and classes need to be learned. However, there are a few ways to circumvent the need for big data in your AI journey:

✳️ A Comprehensive Guide to Geolocation APIs for Cybersecurity Professionals by @j onathan.zhang

✳️ Everything you need to know about YCombinator S19 startups by @an ton
It is not a secret to anyone that YCombinator is the most successful accelerator in the world. They have made well over 2,538 investments.

✳️ How I Went from a Failed Facebook Interview to Founding A Profitable Business in Under 12 Months by @thomasthelliez

✳️ How to Plan your Career Change and become a Product Manager: [My Tips and Tricks for Success] by @s ara.tortoli
Like all the things you are inexperienced with and are interested in learning, you need to start by covering the basics.

✳️ How I Used a Product Management Process to Start a Yoga Business [Part 1] by @DrewTeller

✳️ The Quick and Dirty Entrepreneur's Manual To Business Model Innovation by @gcuofano
As technology becomes over time a commodity, creating a lasting advantage requires business model understanding, experimentation, and execution.

✳️ “Something much broader than compensation drives us.”—Emil Eifrem, Neo4j Founder — Interview by @Davis

and now, an important meme from the interwebs

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