I like the OkCupid-esque approach to data mining in this blog post. It's a great way to leverage customer data as a marketing tool. I'd love to see more posts of this kind going forward.
As for the data itself, I'd be interested to see which Yelp profile characteristics drive the most page views to the restaurant page (i.e. 4.5 stars vs. 3 categories vs. 500+ reviews). While the number of page views on Yelp may not be available, the number of click throughs to a restaurant's home page may be good proxy.
That is the problem with it being uncapped. The trend from Ycomb were capped convertible notes that put a limit on how much the series A could be priced at. This acts as a type of anti-dilution for the angels who know what their percentage ownership will be on the next round. The problem with uncapped is that you can be diluted to very little ownership depending on the valuation for the series A which sets a share price and conversion number for your note. In this sense you have the potential to be substantially squeezed down in the round which is how I was using diluted.
It most definitely will. The potential to be severely diluted in the next round with uncapped convertible debt is a real potential. It also can perversely make the angel wish for a lower valuation on the series A so they convert at a higher percentage. Overall I don't think that this affects VCs as much as it does angels. If anything you will start to see angels move up the food chain and raise bigger funds to go after a bit later stage besides seed.
As for the data itself, I'd be interested to see which Yelp profile characteristics drive the most page views to the restaurant page (i.e. 4.5 stars vs. 3 categories vs. 500+ reviews). While the number of page views on Yelp may not be available, the number of click throughs to a restaurant's home page may be good proxy.