joshuago’s Bookmarks

Knowledge of what is generally considered “low-level” programming is waning. Here's how to beef up in this area.

When might it be your time to "quit"? You can quit things like businesses or projects if you know they are merely one means to your passion. You know if you've done your very best to make it work. But what you can't quit is fighting for your purpose, and living, and finding new, more effective ways to bring forth your passions in the world.

The set of features you choose to build is one thing. The level you choose to execute at is another. Keep it tight.

If you want to create change, at least some of your time is going to have to be spent off the grid.  Don't delude yourself into thinking that tweeting and facebooking are revolutionary acts.

Mongolia is like baking a cake. All the ingredients are on the table. You've got everything you need to build a modern, prosperous economy. The only thing that's missing is the political leadership to make the tough decisions.

Document that describes a large collection of iOS debugging hints and tips.

This kind of love -- of life, of wonder -- cannot be taught in business school. It has to be felt. It has to be given sanctuary away from the noise and relentless assault of information. And then it has to be nurtured. The misfit has a higher calling: to bring the unmanifest into being, no matter who is saying what.

God could make everything, but instead he says, "I bestow upon you the gift of free will so that you can participate in making this world. I could make everything, but I am going to give you some spark of my genius. Surprise me with something truly good and beautiful."

When text is set close together and without much space between the lines, it is much darker than if there were more space between the text. Use small-caps in the beginning of a sentence in order to add graphical flair and draw the reader into the content.  Text, display type, and decorative type.

A stimulating discussion on Google's infrastructure for handling big data. One guy says it's hopelessly out of date. Others chime in and say it's easily 5-8 years ahead of open source alternatives.