289 karma · joined September 2, 2011
To make a lot of money joining a startup, you probably have to be better at evaluating startups than VCs are, which is pretty difficult. Luckily, picking a startup where you can develop your skills, work with smart people, and have a lot of fun is easier than that. But it's still not automatic--you need to evaluate the founders and other employees to find out if you'll fit.
I was also confused about what CSVs I was supposed to create. It's not clear that you're generating CSVs of user data.
I agree the hard part is the analysis, and I mentioned some of the challenges in the post. I hoped to use it as a way to illustrate some cool SQL techniques, rather than as a step-by-step method of finding the right metric, which I agree is much more complex task. Hopefully this analysis helps evaluate a potential metric to find out if it really is useful.
I've been working with the Citus Data guys on the MongoDB Foreign Data Wrapper for PostgreSQL. I've added a bunch of features to the wrapper and use that to enable the queries. Maybe I should add a "How does this work?" question to the FAQ?
https://github.com/nodejitsu/node-http-proxy/
Easy to set up, and has the benefit of reducing the number of processes I need to maintain (my node server and my proxy server are the same).