Analyzing datasets that include email addresses can be a pain. But when armed with a few common operations, you can clean your data quickly and dive straight into the analysis. First, you should check if an email address is valid. And if it is, you can break an address into its component parts—before and after the “@” symbol—to classify users as consumers (e.g., gmail.com) or business users (e.g., microsoft.com).

An old baseball coach of mine used to say “that's a million-dollar catch and a ten-cent throw” (adapted from a famous Bull Durham quote to describe a great catch followed by a bad throw to first.)

Today we're announcing our $7.5 Million Series A, led by Foundation Capital.