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Here are 5 of the most successful growth hacks we implemented to grow our startup from concept to acquisition in 9 months.

In 2017 I quit my job to join a startup with two of my friends (one of them might be imaginary, still checking on that) that made it easier for developers to use machine learning. …

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Worked for 6 different companies, wrote 3 patents, published 2 papers, and started (then sold) 1 machine learning startup — all from home.

The last time I worked in an office was late 2008 after a startup I was working for closed its office after an acquisition by a company based elsewhere. There were a few days of packing boxes and organizing equipment (we were a hardware startup), and divvying up the ethernet cables (for some reason) amongst all the employees. …

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There has been a lot in the zeitgeist recently about face recognition, and I think some of the better uses of face recognition are getting overlooked. One of my favorite customer use cases of ours is using it to speed up payments and other activities on physical kiosks. Here’s why customers are coming to us to solve this, and how you can try it yourselves.

The problem it solves.

There are a few things that I believe are driving the surprising amount of inbound requests we’ve been getting this last year for Facebox (our easy-to-deploy face recognition tech).

  1. Security. Your face is a biometric, which means that it is unique to you, like a fingerprint. I like the idea of using it to help authenticate access to certain things like my bank account through an ATM. I wouldn’t want it to be the ONLY way to authenticate, but as part of a 2 or 3 factor authentication system, it works well. It also lets you consider things like shutting a screen down if more than one face is detected. …


Aaron Edell

Co-founder Machine Box (exited)| Entrepreneur | Business Development at Amazon | Agile Product Owner | Author | Father | Amateur Programmer | opinions are mine

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