Bundle lets money do the talking with its new Restaurant Recommender

There’s no shortage of restaurant-review websites on the Web, but New York City startup Bundle is tapping into an even more honest source of opinion — people’s wallets.

Bundle launched earlier this year as a site where users can compare their spending habits to people like them. Popular personal finance site Mint.com recently released a similar product, MintData, but that data comes from the site’s 4 million users. Bundle may not have anywhere near that many users, but it says it has financial data from Citibank and other providers, meaning that, effectively, it has data on 20 million users.

Still, are massive data sets really what you’re looking for from a finance site? If the initial pitch sounds a little fuzzy, Bundle is launching some new features today that make its value more apparent — starting with the Restaurant Recommender that I mentioned above.

Instead of basing its ratings on user votes and reviews, the recommender looks at where people actually eat and how much they actually spend. The idea is that you may go to a restaurant once and give it a five-star review, but you reveal your real preferences when you go to a restaurant again and again, and when you spend a lot of money there.

The recommender can tell you which restaurants in your area inspire the most loyalty from others in your income level. And it can tell you what the average spending in those restaurants is really like.

On the downside, the Restaurant Recommender is only available in Los Angeles and New York for now, though chief executive Jaidev Shergill said Bundle will be adding a third city in the next 30 to 45 days.

The Move-O-Matic, meanwhile, will help you figure out the financial impact of moving to a new city. You can enter the city or zipcode of wherever you’re thinking about moving, then based on your income, the site tells you how much you’re likely to spend on rent, food, and more.

Bundle is backed by Citi, Microsoft, and Morningstar.

Trackbacks

  1. [...] Others players to watch include Facebook, which is sitting on a mountain of data about a user’s likes and could become a major recommendation engine for all kinds of products and places. Hunch has also launched a feature called Hunch Local, which mixes data from Twitter and Facebook along with its users’ answers to help suggest places to go. And Bundle, a Citibank spinoff site, has also announced a restaurant recommender for NYC and Los Angeles. [...]