##What if Google Maps and Instagram had a baby?
It’d probably look a little bit like peekin.to. Our idea originally started with wanting to see where the hot spots were in our hometown. So we created a little something called [Peek Nashville](https://medium.com/redpepper/peep-nashville-f63948783d81). But we couldn’t just stop there—a whole _world_ of places was waiting for us. And so, phase two came around.
We decided to take a peek at some more places in the world and began collecting data for big events and unique locations--from [Apple’s special event in September](http://peekin.to/this/?lat=37.778242&lon=-122.41732000000002&z=19&a=21&st=2015-09-09%2000:00:00&et=2015-09-09%2023:00:00) to [North Korea](http://peekin.to/nk) our database successfully expanded and lets us travel around the world in way more than 80 Instagrams. All from the comfort of our own computer. We crafted a beautiful logo and added an eye catching pop of pink to spice up the site at its new location: [peekin.to](http://peekin.to).
We’re currently working on some additional features, one being time travel. Say you want to relive the time Jack White was inducted into the country music hall of fame? You can do that! As a matter of fact, you can cruise around Nashville and see everything else that was happening that day just like you were Marty McFly.
The combo of Google Maps and Instagram make for a contextually interesting way to browse Instagram but that’s only the front end. Yeah, that’s fun and all but there are some really interesting data that can be pulled out behind the scenes. Things like “Show me all the Instagram users who have ever posted at Hattie B’s Hot Chicken so I can favorite them all”, or “Where were Instagrammers posting from before they went to the Taylor Swift concert at the Bridgestone?”, or “Who are the most active Instagrammers at the Sounds Stadium?”, or “What is the most Instagrammed place at 3am Sunday morning?”
##The Tech Specs
Built on PHP and MySQL the current database of photos and videos weighs in at 13 GB and 20 million rows while maintaining a 97 millisecond response time.
* Google Maps API
* Instagram API
Google Maps [tweeted about us](https://twitter.com/googlemaps/status/639762347653894145) to 2.96 million people, so there was that.