Some ideas on improving Kiva

I hace recently loaned some money through Kiva to some  promising entrepreneurs in developing nations (like my own). Kiva is a fantastic idea, the process of micro-loans cannot work without an enabling technology, and finally somebody put two and two together and launched this service.

I do have some ideas that could improve certain things:

1. The Listing: The People Listing needs to have filters (using dropdown menus) on top. The listing needs to allow people to boil down the large list  by several criteria such as: gender, country, business type, amount.
   In the world of donations (had significant experience building several projects for non-profits), people often donate to a specific target population (women, children), or for a specific purpose (education, nourishment, etc...). Kiva's criteria could be split in genfer, country, bus. type and others. For example, I am more inclined to donate to women in south pacific countries.
   If they really want to increase usability, this listing should be built using ajax, so that no reloading is necessary.
2. The "I have contributed widget": Contribution is the next big word! Warren Buffet gave away his money and so will Bill Gates. Everybody wants to be like No. 1 and No. 2, but suddenly they aren't the richest, but the ones that contribute the most. One should be able to export a Widget - to put on your site, your company's site, your blog, your LinkedIn profile, etc... - to show how much you have contributed.
   If people compete for stuff like having more LinkedIn connections, or more Myspace friends, surely they'll compete for the most amount of money loaned. The current widget asks people to loan to a specific entrepreneur, it needs to be the other way around, it needs to show how much a specific person has contributed. I'm sure some guy wanting to appear first on the list will donate a large amount of money.
3. Kiva + Google Maps: A mashup is needed here, mainly to show in a visual manner the areas that are getting more loans and less loans. A visual representation could show where the money is flowing and what other regions need support. Analytics are visual and I suppose "equality" is important here, but there is no visual way of knowing which areas (not necessarily people) are in need.

This is a great project... I definitely encourage people to loan at www.kiva.org