[adambratt]

Foursquare honestly has some of the best user location data you can buy on the market.

The only companies out there with better historical data are Facebook, Apple, and Google. And as far as I know, I can't call them up and start buying from them within a few weeks.

I've seen hedge funds right now making millions off of Foursquare's data as they can build algorithms around it quite easily and there's plenty of history to backtest off of. The great part is that Foursquare's previous money maker was selling their places database so they've already done a great job mapping GPS coordinates to businesses and it's pretty easy to map that further to a ticker symbol. Perfect for quants.

By combining Foursquare data with anonymized credit card data from Intuit or Yodlee... you've got the ability to predict retail sales on a DAILY basis rather than on a quarterly basis. You might even be able to a better job than that actual business in predicting their growth if you've got a whole team of quants working on creating the data models.

This is the start of a shift from the market at large relying on quarterly earnings for these types of companies and instead being able to track performance on a daily level. As far as I can tell, there's nothing companies can do to stop this either.

[blizkreeg]

How do they continue to get accurate data about location? Fewer and fewer people "check in" to foursquare now. Presumably thousands have uninstalled the app. How will 4sq solve this going forward?

[adambratt]

They still get millions of location updates every 15 minutes. I don't remember the exact number as it has been a couple years since I talked with people using their data but it is much much higher than you would expect.

They don't need you to "check-in" when they are grabbing your location every 15 minutes in the background. They've also built APIs into ad networks that ping their location database with coordinates millions of times a day to find relevant ads. There's thousands of apps using ad networks that funnel location data back to 4sq.

Techies may have abandoned them, but they still have a ton of middle America thinking that 4sq is cool. My mom for example.

On another note, 3-4 years ago I had access to a large anonymized bank/credit card transaction database from a well known company. It had about 1-2% of all transactions in the US by our estimates. When we modeled the quarterly sales of Walmart compared to it we found that it was incredibly accurate going back 5 years, even with 1/50th of the US population.

[neon_electro]

For the Foursquare/Swarm apps, when they are able to track your location 24/7, they create a list of places that you may have visited and allow you to create an after-the-fact check--in. That's what's obviating the need for users to actively check in to the app(s).

[barry_scott]

They likely have multiple streams for data ingestion including Swarm/Foursquare and the signal data provided by thousands of developers that use their API including some large folks like Uber, Apple, Snap, Samsung, Twitter, Microsoft etc.

Even if both of their apps fail, they likely have a lot more inbound data from these large partner sources to continue to build out a pretty healthy pipeline to provide better data.

[manmal]

I'd estimate about 2% of my Facebook friends are regularly using Swarm, and about half of them very heavily (multiple checkins every day). It would be foolish to extrapolate from a sample of 1, but I find it likely that they still have tens of millions of active users. Maybe they have something in the pipeline to make Swarm more interesting?

[ChuckMcM]

I was a bit surprised that the article didn't include 'Foursquare Hedge Fund' as yet another way to make money. Seems like they could exploit their own data just as easily.

[ChuckMcM]

Of course I really have no idea how difficult it would be to 'start' or manage a hedge fund. However I have met people who have run hedge funds and presumably such a person could be hired. Or more simply an exclusive partnership could be established with an existing hedge fund which was already able to use the data.

The underpinning of my surprise was the business case analysis. Your the CEO of Foursquare and you're looking at all the ways you can use your assets and services to generate revenue. You come up with selling this sort of demographic data. That gives you revenue $X. Now one of the buyers of your demographic data is hedge funds that are making a return Y % on their investments. Which increases a marginal amount dZ % when they incorporate your data into their strategies and algorithms. If you could accurately characterize the impact you could compare 1/2dZ % annually to the $X value to see which was larger. Conversely you could take say $10M and put it into the hedge fund and have them remit back to you 1/2 of the annual return each year and compare that to $X.

And of course if you're Goldman Sachs does it make sense to buy FourSquare and keep all the data for yourself? One could look at that investment in a similar way using internal rate of return on the buyout price vs the improved rates of return on their investment products.

[zitterbewegung]

That's like saying why doesn't Bloomberg have a hedge fund . There is a difference between selling financial information and operating a hedge fund .

[adambratt]

Aside from the fact that they are a data company, not a fund... While what they are doing is completely legal it's safer for the company investing off of data to be separate from the company creating the data. Less conflicts of interest in the event it eventually becomes a legal issue.

[manmal]

Would this not count as a weak form of insider information?

[AznHisoka]

I don't think so. It's easier to say that on paper, but in the real world, there are things like emotions, irrational people, and expectations.

[bboreham]

Need some risk capital for that. Where's that going to come from, when investors have already risked $166 million?

[hoffrocket]

Hey all,

Head of engineering at Foursquare here. Thanks for all the enthusiasm around our story. I’ve been at Foursquare since 2010 and can share some additional insight.

If you're an engineer building out a location-based product, and you’re curious how you can play around with our location data, we do have one of the world's most robust place databases. Twitter, Microsoft, Samsung, Snapchat, Apple, Uber, Pinterest —some of the world’s biggest tech companies— are building products on top of our Places database and API. We have a good-size free tier, and it's easy to get started: https://developer.foursquare.com/

The fact that it’s considered to be one of the most accurate databases, and that it’s widely trusted (used by more than 100K developers), didn’t come easily. The accuracy of our our place search API has been steadily improving over the past seven years. To do it well is a really challenging engineering problem. The sensor signals available from iOS/Android location services in today’s phones are often only accurate to tens of meters—especially when indoors. And this is an improvement! So we've taken the billions of check-ins we've collected since 2009 to basically create a model of what physical places look like from the perspective of a mobile device.

We continue to capture training label data from Foursquare City Guide and Foursquare Swarm usage, which allows us to continuously improve our place search model. A lot of complex machine learning and infrastructure goes into solving this problem. And by the way, Place search is just one of Foursquare’s many engineering challenges. We've been innovating and building new products over the past eight years. In March, we launched our Pilgrim SDK. There are even bigger challenges and opportunities ahead...

I know this because I've been here almost since the beginning: Right now is the most exciting time in the company's evolution.

It's important to mention that we take our user data privacy extremely seriously. Some of the products we're currently working on, including the ones that are mentioned by the Entrepreneur article, are built on anonymized and aggregated visit data. The products that we're building don't expose any individual visitation data at any point. We are forthcoming with our community about how we use our data, and we work hard to create engaging apps that make cities easier to use through search & discovery and checking in.

As we continue to rapidly scale and grow we are hiring in both SF and NYC for almost every area of engineering. We're especially interested in experienced iOS, Android, data pipeline (kafka, hadoop, spark, scalding), and ML engineers.

You can check out our jobs page here: https://foursquare.com/jobs

We pride ourselves on having a very transparent, inclusive and respectful company culture.

Jon Hoffman

[abalone]

Hi. Since you brought up privacy.. Where exactly does Foursquare gather its location data from for these enterprise reports? Is it exclusively from "checkins" on Foursquare apps, or does it include locations provided via lookups to the Foursquare API places database from various 3rd party apps?

I've always wondered how deep the data could be if it was just Foursquare checkins, given the decline in usage of the apps. Yet I only ever hear about "billions of checkins" as the source. Not billions of queries. It doesn't quite add up for me.

I kind of feel that if Foursquare is tracking user locations via apps that use its API, that should be more clearly stated. Is it? Thanks.

[iamacynic]

i'm curious - how would you invest in order to take advantage of daily or presumably, hourly trends? what can actually close the loop that quickly on human activity -> financial securities performance?

[ASpring]

ex. Goldman Sachs predicts Apple will have $25m sales Q2 2017 at the beginning and some variance of the stock price is based on that public prediction.

If you have finer granularity like Apple is likely already at 10m only a quarter through Q2 then you can invest and expect the Q2 prediction to be exceeded. Slice thinner and thinner until you get to hourly as the market adjusts to finer granularity predictions from companies buying Foursquare data.

[seizethecheese]

For instance, if a company starts running an ad campaign that is particularly effective it will beat expectations in the next quarter. The more granular data you have, the earlier you can pick up the effect and buy the stock.

[downrightmike]

If you're not paying for the service, you are definitively the product being sold.

[downrightmike]

Apparently I've angered a handle full of people that don't agree with the statement above. Hypothesis: They're probably part of the group selling user info.