Who is using CoffeeMe?

I’ve found the data being generated on CoffeeMe to be interesting for what it suggests about people’s preferences for professional networking. The following is the first of three post where I analyze a data set that contains 12,797 choices, 5,089 yeses and is about a month old. In the three posts I’ll answer the following questions:

  1. Who's using CoffeeMe? (this post)
  2. Who is saying yes and being said yes to?
  3. Who is actually being introduced?

For those unfamiliar with CoffeeMe, think of it as Tinder for professional networking. We show you someone's LinkedIn profile, you tell us whether you'd like an introduction, we introduce you if you both agree.

Let's party. And by party I mean look at data.

User Distribution

Founders and investors are overrepresented. When looking at this user distribution, it's useful to think about the composition of the startup community as a whole. Obviously I don't know what that composition actually looks like but it's probably safe to say that there aren't more founders than engineers and designers. Therefore, founders are over represented on CoffeeMe. The same is probably true for investors.

Similar distribution in each city. This surprised me given how different the 2 communities are. 2 potential explanations:

  1. Subconscious Selection — Since I've approved every member manually, it's possible that there's a balance that I'm subconsciously enforcing.
  2. Target Market — It's also possible that this is roughly the percentage of people in each group interested in a product like this. I don't know how likely this is but it's possible.

Designers are underrepresented. Designers make up 7% of the user base. That feels like a lower percentage than exists in the startup community. This could suggest that designers are less interested in developing their professional networks or I haven't found the right way to reach them.

Choices per User

A “choice” is when a user clicks either “Yes” or “Maybe Later.” They've made a choice about that person.

High average choices per user. The average user on CoffeeMe has made 49 choices. I can see how Tinder does a reported 600M swipes a day. This model makes it easy to make choices quickly and in large batches.

Higher in San Francisco. The average number of choices per user in San Francisco is 19% higher than in Seattle. That's despite the Seattle community being a few months older.

Before launching in San Francisco, I wondered whether CoffeeMe would be more valuable to a small (Seattle) or large (San Francisco) community. Maybe it would be more useful to a smaller community because there's less people so every connection counts. Maybe it would be more useful to a large community because there's so many potential connections. This data doesn't answer that question but it suggests that there is value to large communities.

If you're interested in reading the other posts in this series, follow CoffeeMe on Twitter.