Introducing GroupMe 4.0
Just like you, we love our app and use it all the time. We’re constantly looking for ways to improve it. Sometimes that means adding a feature, or fixing some bugs. Sometimes, it means taking a step back and looking at the bigger picture.
Six months ago, we took everything we had learned about how people use GroupMe – what worked, what needed to be fixed, what needed to be added or removed – and went to work.
Here’s what’s new:
Completely redesigned look and feel:
- Chats are front and center — and easy to read
- Photos in chats are big and beautiful
- Share your location or where you’re going with a small map
- Fast switching between conversations in the left drawer
- Huge avatars for your group and its members in the right drawer
- Tap any user’s avatar anywhere in the app to send a DM
- Now on iPad and iPad Mini — one of our most requested features!
- Starting a group is easier and faster than ever
- Invite people to your group with a simple URL you can post anywhere
- Newsfeed is cleaner, better and more relevant
- Faster performance on every device
- Rejoin groups that you previously left
We can hardly say how excited we are to get this app out there. Our team absolutely loves using it, and we think you will too.
This has been a long time coming. I hope you enjoy it as much as we do.
Foursquare’s homepage has just undergone a major redesign, with the company’s local search and recommendation engine now available to anyone who visits — regardless of whether they’re a user of the company’s well-known location check-in app
With 3 billion checkins, we can do things that other companies can’t do. TechCrunch nailed it with their “Meet The New Foursquare, The One That You’ve Helped Build And Continue To Power” headline.
For those who are impressed by this, trust me, we’re just getting started.
Beautiful memories. Ignore the sign. with Bernard and Grace – View on Path.
The Insight Data Science Fellows Program, a postdoctoral fellowship designed by Jake Klamka (a high-energy physicist by training), takes scientists from academia and in six weeks prepares them to succeed as data scientists. The program combines mentoring by data experts from local companies (such as Facebook, Twitter, Google, and LinkedIn) with exposure to actual big data challenges. Originally aiming for 10 fellows, Klamka wound up accepting 30, from an applicant pool numbering more than 200. More organizations are now lining up to participate. “The demand from companies has been phenomenal,” Klamka told us. “They just can’t get this kind of high-quality talent.” (link)
– View on Path.