A Statistical Portrait of a Y Combinator Batch

This is a really excellent example of using your own product to generate interesting content as a way to drive traffic back to your product.<p>Great work Statwing. Can't wait until I have some data that needs analyzing so I can use your service.

"Higher values for Number of Employees/Contractors (FTEs) are weakly associated with higher values for Average Age of Company's Founders (Rounded)"<p>I had a suspicion that that might be true, but I wonder why that is? Perhaps older founders tackle problems that need more domain expertise and more people? Or perhaps they can rely on savings and have been able to bootstrap a little better than high-school/college grads?<p>Anyway, good job on StatWing, I love playing around with numbers and graphs. Perhaps some public datasets will help people get more familiar with the app and serve as demo.

Thanks for posting. It would be fun to see the ages of accepted YC applicants compared with the rejected applicants. I'm not sure how easy it would be to get the data of the rejected applicants though. Maybe they would self-report their information if you posted something here on HN.

I wonder, is that that spike at 39 thinking "Shit, I'm about to turn 40. It's now or never!"

It would be interesting to put this against the ages of Gen Y distribution. I believe this grouping would actually look relatively old to the peak in population if we assumed only Gen Y would apply.<p>I am basing this on my memory that 1990 was the peak year for those born in Gen Y. (I cannot find the data set to back it up, but I bet someone else knows where to get it).<p>+ a few outside of Gen Y.

Good stuff. I imported and played with a regulatory dataset.<p>The results mostly confirm industry suspicions that enforcement differs the most based on what region an operator is in (poor regulatory performance operators are mostly located in the same regulatory region).<p>What was neat was how little individual manufacturer's designs mattered. But over time, it was either hugely advantageous or hugely disadvantageous to simultaneously operate multiple types of designs. Example: in 2007 it was about 5% better to simultaneously operate multiple designs, but in 2010, it was about 17% worse.<p>Also confirmed that it was much, much better (from a penalty standpoint) to find and self-disclose regulatory non-compliance rather than to let the regulator find it.<p>Awesome work guys! Will there be an ability to play with the time dimension soon?

I'm interested in the 15% of YC startups with a single founder. I wonder if that number is higher than average compared to other classes? And if so, how much higher? I'm also curious if there is a correlation with the average age.<p>Anyone privy to this information and willing to share?

So I rifled through the source of the webpage and found there is no way to download the actual data from that page. All the calculations are being done on the server side and the summary results are getting sent over via HTTP.<p>An interesting model for sure and one that will ultimately make for technical sense but enterprise woes in the future. I'm not sure if businesses will want to upload the data that would most benefit from the StatWing treatment. It looks like they have realized that though. Maybe aiming to cut their teeth on people who generate a lot of data and then take a stab at going enterprise via partnerships with other companies that already have a strong presence in big companies but are lacking in the analytics.

Any thoughts on why the ages of 26 and 27 appear to be the mode (especially for "social" startups)?

Statistical data? I mean, the few graphs are interesting, but that's VERY little data being displayed at all. I was expecting much more before clicking this link. Tufte would be mad at the abuse of space for the ridiculously small amount of data actually displayed.

Statwing is doing it right: it is super easy to navigate to their home page from the blog, by clicking on their prominent logo, which brings you directly to their main page.

What exactly is a "social" company vs. a non-social one? Some companies are clearly in one bucket or another but I'm wondering what kinds of companies are near the boundary.

I love this product. It makes a hard concept easy, it looks pretty, and it's fast.<p>I can't wait to see what this team does next!

Can you let us download the data and run our own analyses?