Phillip Mendonça-Vieira

By trade, I tell computers what to do. I make apps, I build products, I throw events. I think about people, and the internet, and living a good life. I live in Toronto.

You can find me on twitter, on github, and on instagram. Reach me by email via phillmv at this domain.

You can find an archive of my writing here.

Select recent work and projects:

From 2015 to late 2017, I was a cofounder of Appcanary. We tracked security vulnerabilities in open source code and notified our customers when they had to take action.

We got into Y Combinator, we raised money, we built a product, we had an employee here and there. Alas the business end of it didn't work out, and we were acquired by GitHub. It was an interesting time! Read more about us on our blog.

xvzf

Established in 2014, with a few co-conspirators, I organize and throw a regularly occurring storytelling night for Toronto tech workers. We produce a podcast, and a whole bunch of people show up. You should check it out.

Until early 2015, I was a cofounder of State Machinery, a security and development consultancy. We opened for business in November, 2012. We performed security audits, penetration tests, built mvps and advised teams on how to improve their software practice.

Gemcanary

In February 2013, we built Gemcanary, a tool for monitoring known security disclosures in Rails/Bundler enabled applications on Github. I wrote a little bit more about it on the State Machinery blog. It eventually led to Appcanary.

Audiogram

Back in January 2012, I created an app for an dance party art installation. I combined the instagram api with some javascript and it was a lot of fun.

NYTimes Timelapse

In July 2011, I put together an eight month time lapse of the front page of the nytimes.com. I wrote a time lapse tutorial, and I also happened to capture the front page of the bbc. It got a lot of attention, and it was pretty neat.

Undergraduate thesis

In lieu of course work, prior to graduating I wrote an undergraduate thesis on applying a naïve bayesian classifier to rss feeds.