Cooper Smith

A brand new Foursquare, with a brand new logo and look, is almost ready for you

foursquare:

Everyone explores the world differently – guided by their own unique tastes, their friends, and the people they trust. Local search has never been good at this. It doesn’t get you, and, as a result, everyone gets the same one-size-fits-all results. Why should two very different people get the same recommendations when they visit Paris? Or the same list of places when they’re looking for a bar?  We’re about to change that. In a couple weeks, we’re rolling out a brand new version of Foursquare that’s all about you.  Tell us what you like, and we’ll be on the lookout for great places that match your tastes, wherever you are.

This means a few changes.

  • First, starting tomorrow, we’re moving all check-ins to our new app, Swarm. Don’t worry; all your past check-ins, all your friends, all your photos, they’re all automatically in Swarm.

    Over three-quarters of you are already on the new app. (Thank you! And keep sending us feedback; we’re hustling on making improvements every day – get a preview of what’s next here) For everyone still using Foursquare to check in, you’ll need to download Swarm to keep checking in.
  • Second, if you build a totally new app, you need a totally new logo. Our logo is changing from the check-in checkmark to something representing the new Foursquare. We designed it to be a mix of map pin and superhero emblem. We’ve always thought of Foursquare as giving you superpowers to explore your city, and our new logo reflects that vision. It’s coming soon to a homescreen near you.

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  • Finally, we wanted to give everyone a peek at what’s coming. Here’s what you see when you open the new Foursquare. No two people view the world exactly the same, so no two people will have the same experience with the app. Once you teach Foursquare a couple things about you – add tastes, follow experts, or even just walk around for a few days – the app will be 100% yours.

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If you use both Swarm and Foursquare, they work seamlessly together. On the left, a venue page for a person who only uses Foursquare. On the right, there is a check-in button if you have Swarm installed.

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This is the beginning of the ‘personalized local search’ future we’ve been talking about since we started Foursquare. It’s been built with the help of our amazing 50,000,000-strong community, with all your tips, check-ins, photos, and the smarts we layered on top of that. Those of you have been with us since the beginning, your check-ins and history will continue to help shape your recommendations. For those of you giving us a try for the first time – you still get all the benefits of a better way to explore any neighborhood, no check-ins required.

We can’t wait to get this in your hands. If you use Foursquare to check in, download Swarm today. And, if you’ve been waiting for real local search, not just the yellow pages on your phone, stay tuned. The all new Foursquare will be here really soon.

My first reaction to was to press “reject” in Lightroom. This photo was overexposed to the point you could barely see Guri. But after going through some other photos, I came back and spent some time on this one. Happy I did.

My first reaction to was to press “reject” in Lightroom. This photo was overexposed to the point you could barely see Guri. But after going through some other photos, I came back and spent some time on this one. Happy I did.

Tonight I played with the data made public of the 175 million taxi trips taken in NYC in 2013. After a bit of wrangling, I was able to generate a visualization of a random sampling of the first 2,000,000 rides, or the first ~10 days, of 2013 (though it seems to be biased towards Manhattan).
Its fun to be doing a project like this again. If the visualization looks familiar, its because I’m mostly reusing my processing sketches from my 2011 Nike+ project. I’m hoping to continue with this, but the sheer volume of data is daunting, and my previous workflows will need to be adjusted. That said, there’s so many interesting stories in here, and I’m excited to see where it leads me.

Tonight I played with the data made public of the 175 million taxi trips taken in NYC in 2013. After a bit of wrangling, I was able to generate a visualization of a random sampling of the first 2,000,000 rides, or the first ~10 days, of 2013 (though it seems to be biased towards Manhattan).

Its fun to be doing a project like this again. If the visualization looks familiar, its because I’m mostly reusing my processing sketches from my 2011 Nike+ project. I’m hoping to continue with this, but the sheer volume of data is daunting, and my previous workflows will need to be adjusted. That said, there’s so many interesting stories in here, and I’m excited to see where it leads me.

More on Swarm: plans and connecting with people nearby

foursquare:

We designed our new app, Swarm, to be the best way to keep up and meet up with your friends. That’s sometimes based on where you are, and sometimes based on what’s happening next. For what’s next, we created plans with people nearby in Swarm.

Swarm plans are different. It’s a new riff on planning, focusing on your nearby friends. There’s no invite list, and you can leave it as open-ended as you want (our favorite plan during testing was “beer?” It got 17 replies.) In our early group of testers, here were some that worked best:

  • "Who’s up for drinks after work?"
  • "Anyone want to see Godzilla this weekend?"
  • "Got two extra CHVRCHES tickets for tonight. Anybody want them?"
  • "Weekend recommendations? My parents are in town…"
  • "Birthday drinks Saturday, 9pm, @Ace Bar. Come join!"

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Plans are visible to all your friends in your city. It’s great for just throwing ideas out there. We’re looking forward to see how you use it.








A few of my favorite shots from a morning at the Brooklyn Botanic Gardens