#DayInTheLife

We are sometimes asked what it is like to be an entrepreneur. This has been even more common since the new HBO show Silicon Valley has come out, but contrary to popular belief, it is not quite as glamorous as it may seem. Here is what an actual recent day was like for us:

9:00 AM – Implement filtering functionality on desktop website.
9:15 AM – Fight filtering function because it depends on a REST client library that borks our nested param values. Update API to support flatter params, push patch to production, and use that instead.
10:00 AM – Finish up desktop filtering functions, test, and debug.
11:00 AM – Begin work on iOS filtering. Hit a bug with rendering the headers of our filters too many times.
12:00 PM – Can’t look at this bug any longer. Time for lunch!
12:30 PM – Return looking at iOS bug.
1:00 PM – The bug looks to be a deeply nested issue with a series of libraries we take as dependencies. The fix will take some time.
1:15 PM – 4 PM – Alternate between looking at fixing this bug, taking a look at production, and checking out our usage patterns.
4:00 PM – Looks like new data has come in! Clean up all the newly input data to be consistent.
5:00 PM – Hit another iOS bug where typing in one text field was copying over to another text field.
6:00 PM – Can’t look at this bug anymore. Dinner!
6:30 PM – Have to clean up the way we access the underlying data source to solve the duplicate text field issue.
7:30 PM – Must implement ratings across all iOS item images.
8:00 PM – Check out Android crash reports. A few null pointer exceptions to dig up.
9:00 PM – Fully investigated all stack traces. Fix them over the course of the next hour.
10:00 PM – Time to implement Android filtering.
11:00 PM – Layouts, adapters, and models all implemented. Test it out and look for crashes.
12:00 PM – Filtering functionality seems to be working. Begin mockup for alternative cart items on Android.
1:30 AM – Mockup complete and signed off by team, begin work on implementation.
3:00 AM – Finished initial implementation, but hit a few corner cases where alternatives were being listed when there were none. Have to pre-fetch the data.
4:00 AM – Finished pre-emptive lookup and it seems to be working, but will have to test more tomorrow. Time for sleep, then we start again in a few hours!

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