How Fresh Does Your Data Actually Need to Be?
A large organization spent nearly $1 million processing data that mostly had not changed.
Read →Nonfiction, more or less: current essays, old Reddit answers, stories that actually happened, and things that probably sounded more reasonable at the time.
A large organization spent nearly $1 million processing data that mostly had not changed.
Read →Not every menu, account, reservation, rewards program, or ordinary interaction needs native software.
Read →Lessons from a JavaScript RPG written for an iPhone 3G that still apply to real-world data systems.
Read →Lamb, fire, vodka, ceremonial meat swords, and several hard-earned lessons about plumbing.
Read →Time, money, freedom, risk, attention, and why I kept riding.
Read →Choosing a first bike, fit, size, budget, gear, maintenance, and figuring out what actually works for you.
Read →Stories ranging from fairly normal human behavior to reality giving up entirely.
What begins as a teenage fight between two half-alien lovers becomes something much, much bigger.
Enter the problem →A select collection of stories I wrote years ago. I have not reconstructed the full contents yet.
The question mark is doing some work here.
Including artifacts created on computers considerably less capable than the device you are probably reading this on.
See them →Occasionally somebody else's work causes enough thoughts to escape that they become a page.
A review from the older CrashRhinoceros collection.
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