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A new YIMBY activist group is starting to gain meaningful traction in San Francisco. They were recently featured in the New York Times and they have managed to secure the financial backing of people like Jeremy Stoppelman – co-founder and CEO of Yelp.
(All excerpts in this post were taken from the NY Times.)
The group is called SF BARF, which stands for SF Bay Area Renters’ Federation. The group, however, supports new development of all kinds. So I think the name is more driven by the fact that the founder, Sonja Trauss, wanted the acronym to be BARF. It speaks to their shit disturbing approach:
“Her group consists of a 500-person mailing list and a few dozen hard-core members — most of them young professionals who work in the technology industry — who speak out at government meetings and protest against the protesters who fight new development. While only two years old, Ms. Trauss’s Renters’ Federation has blazed onto the political scene with youth and bombast and by employing guerrilla tactics that others are too polite to try. In January, for instance, she hired a lawyer to go around suing suburbs for not building enough.”
The impetus for all of this, of course, is San Francisco’s lack of affordability and severe housing shortage. Housing supply is decades behind the city’s population and job growth.
Most people are directing the blame at the tech community for bidding up housing. But there’s clearly growing recognition that housing supply matters.
As a real estate developer, my industry obviously benefits from fewer barriers to building. So let’s get that out there:
“Ms. Trauss’s cause, more or less, is to make life easier for real estate developers by rolling back zoning regulations and environmental rules. Her opponents are a generally older group of progressives who worry that an influx of corporate techies is turning a city that nurtured the Beat Generation into a gilded resort for the rich.”
But let’s also be clear that I don’t believe we should be developing roughshod over our cities. New development should respond to what’s already there and give back.
At the same time, housing supply matters a great deal. A big part of the reason that cities like San Francisco, New York and Vancouver are so expensive is that they’re naturally supply-constrained markets. Geographically, they are either peninsulas or islands.
When you overlay tight land use restrictions, fierce community opposition and/or foreign investment on top of this geography, it should come as no surprise to anyone that demand is outstripping supply.
New supply won’t solve every problem, but I do agree that it is an important part of the solution.
Venture capitalist Chris Dixon recently published an interesting post called, Two eras of the internet: pull and push. In it, he describes two patterns that have emerged within the internet over the past decade and a half.
Pull (2000s):
Pull is when you are seeking information, usually an answer to a question. You want to know the closing time of a restaurant, the description of a hotel where you are thinking about staying, the details of an historical event you heard about, etc. You go to your computer and pull the information. The killer app for pulling information was Google.
Push (2010s):
Push is when you are using the internet in a more passive way and content comes to you. The killer app for push is social networks, the most popular being Facebook. Information is pushed from user to user via likes, shares, tweets, etc. People tend to push things they find funny, interesting, moving, outrageous, etc.
Now let’s think about this for a second, because it’s a pretty significant change.
Google’s mission is to organize the world’s information. And they have certainly made it easier for us to get the information we want. Instead of physically searching for something, you just type in a few keywords and it pops up. But, it still involves us deciding we want something and then pulling the information.
What’s fascinating to me about push is the idea that content and information comes to you. And it’s one of the reasons that I’ve always found Foursquare more interesting than Yelp – even though Yelp is far more popular as a tool to help you find somewhere to eat, drink and so on.
When I walk into a restaurant or bar now, oftentimes I’ll see a Foursquare notification popup on my phone showing me a tip that somebody has left: “Try the meatballs – they’re to die for”. I didn’t search for that. I didn’t ask for a recommendation. But Foursquare knew where I was and presented me with that information.
Now, there are obviously potential downsides to constant interruption, but let’s focus here on the opportunities. How could these same principles to be applied to other industries such as, say, real estate?
I think there’s a pull and push parallel.
Today MLS operates in a way like a search engine for homes. You decide you might be interested in buying a home and so you go online and start pulling listings.
Of course, the vast majority of people also work with a real estate agent. And in a way they’re kind of like your push. They get to know you, they figure out what you’re looking for, and then they push relevant listings and information to you.
And maybe that’s why nobody has killed off real estate agents – despite the numerous attempts. Everybody has been focusing on new pull platforms (listing platforms) as opposed to a new push platform.
Who knows.
But I think it would be naive to think that these emerging push platforms won’t reach far beyond social media.
I’ve been a Foursquare user for a number of years now. I like seeing which friends are nearby and where I’ve been. I love the data aspect of it. It’s a kind of urban “spidey sense.”
Sometimes when you “check-in”, the app will tell you the last time you were there (if it’s been awhile), how many consecutive weeks you’ve been there (which I like seeing when I check-in at the gym), and also give you any tips that others may have left about the place you’re at–such as, try the sea urchin ceviche.
But Foursquare has been struggling. Check-ins proved to be a bit of a fad and Yelp solved the what-do-you-want-to-do-tonight problem better. However I’ve always felt that, on a fundamental level, Foursquare had the potential to be so much more powerful than Yelp.
Well, today the big news in the tech world is that Foursquare is unbundling its app. There will be Foursquare and there will be Swarm. Foursquare will be a recommendation engine that helps people find places to eat, drink, shop and so on (just like Yelp), and Swarm will be all about social–seeing where your friends are and which ones are nearby. And along with this unbundling, there will be no more check-ins:
But how can Foursquare personalize its users’ results if they are no longer collecting check-ins, the foundation of Foursquare’s recommendation engine? Crowley smiles and says something a bit shocking. He no longer needs check-ins, the meat and potatoes of Foursquare’s entire business and data collection engine for the last five years.
Not only has Foursquare collected 6 billion check-ins, he says, but it has collected five billion signals to help it map out over 60 million places around the world. Each place is a shape that looks like a hot zone of check-ins — of times when people have said “I’m here.” Foursquare’s “Pilgrim” location-guessing engine factors in everything from your GPS signal, to cell tower triangulation, to the number of bars you have, to the Wi-Fi networks, in order to create these virtual shapes.
Now that it has this data, Foursquare can make a very accurate guess at where you are when you stop moving, even without a check-in, it’s a technology it hopes will allow it to keep its database of places fresh and accurate. Foursquare calls these implicit check-ins “p-check-ins,” or Neighborhood Sharing. Take your phone into four or five different Japanese restaurants over the course of six months and without a single check-in Foursquare will learn that you like Japanese food and start making recommendations for you based on that data.
There will obviously be a number of people who have anxiety about an app that’s passively tracking everywhere they go and then trying to feed them recommendations (come eat here!), but I do think they’re on to something.
The opportunity with Foursquare (and its data) is that the recommendations can be tailored. If I’m looking for a place to eat, Foursquare will already know that I love Mexican and that I just worked out (meaning I’m probably extra hungry). Personally, I’m okay with that.
But then I start to wonder how this might impact cities. If the process of discovery becomes this automated and this tailored, how might it change the way we organize and design our cities?
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