Archive for category music hack day

Swap the Drop

I’ve been in Helsinki this weekend (which is not in Sweden btw) for the Helsinki Music Hack Day.  I wanted to try my hand at a DJ app that will allow you to dynamically and interactively mix two songs.  I started with Girl Talk in a Box, ripped out the innards and made a whole bunch of neat changes:

  1. You can load more than one song at a time. Each song will appear as its own block of music tiles.
  2. You can seamlessly play tiles from either song.
  3. You can setup branch points to let you jump from an point in one song to any point in another (or the same) song.
    Swap_the_Drop_for_Kill_EVERYBODY_by_Skrillex
  4. And the killer feature – you can have two active play heads  allowing you to dynamically interact with two separate audio streams.  The two play heads are always beat matched (the first play head is the master that sets the tempo for everyone else). You can cross-fade between the two audio streams – letting you move different parts of the song into the foreground and the background.

All the regular features of Girl Talk in a Box are retained – bookmarks, arrow key control, w/a/s/d navigation and so on.  See the help for more details on the controls.

You can try the app here:  Swap the Drop

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You have 24 hours to build the future of music

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A Music Hack Day is unlike most other hackathons. There are no mega-prizes for the best hacks. There are no VCs wandering the hacker hallways trolling for the next startup. There are no briefs that describe the types of apps that you should build. Hackers don’t go to a Music Hack Day to win big prizes, or to launch their startup. Hackers go to Music Hack Days because they love music and they love to build stuff. At a Music Hack Day these passionate builders get to apply their talents to music, surrounded by like-minded peers and build their version of the future of music. The currency at a Music Hack Day is not money or VC attention, the currency is creativity.  The Music Hack Day prize is knowing that you’ve built something cool enough to delight other music hackers.

So what happens at a Music Hack Day? How does it all work? What kind of hacks do people build? Read on to see exactly what happened at the Boston Music Hack Day 2013, held this last weekend.

Boston Music Hack Day

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This weekend, hundreds of folks who are passionate about music and technology got together in Cambridge MA for Boston Music Hack Day 2013.  The event was hosted at the Microsoft NERD – a wonderful facility that Microsoft makes available for all sorts of programmer events.  Registration started at 9AM and by 10AM hackers were breakfasted and ready to go.

The event started off with some opening remarks by your truly, describing how a Music Hack Day works and how to have a successful event (meet other people, learn new stuff, build something, make sure you finish it, demo it and have fun).

Build Something! - key advice for a Music Hack Day

Build Something! – key advice for a Music Hack Day

Hackers riveted by Paul Lamere's opening remarks

Hackers riveted by Paul Lamere’s opening remarks

Short technology presentations
Next up, organizations that had some sort of music technology such as an API or new gizmo that might be interesting to music hackers spent a few minutes talking about their technology. For many hackers, this was their first exposure to the music ecosystem – they don’t know what APIs are available for building apps so learning about music streaming APIs from companies like SoundCloud, Rdio and Spotify, and learning about all the music data available from APIs like The Echo Nest and the Free Music Archive is really important. 

Matt talks about the Reverb.com API

Matt talks about the Reverb.com API

There were a few interesting devices available for hackers at the event. Techogym brought a high tech treadmill with its own API hoping that music hackers would build music-related exercise apps.  Muzik brought a set of headphones that are instrumented with accelerometers and other sensors allowing for apps to adapt to the actions of the listener.

Hackers trying out the Techno Gym

Hackers trying out the Technogym

Project Pitches
Sometimes hackers come to a Music Hack Day with ideas ready to go. Sometimes hackers come with their skills but no ideas. At the Project Pitch session, hackers had a minute to pitch their idea or to offer their skills. About 20 hackers braved the front of the room describing their idea or their skill set. One hacker described his project as help me with my homework (and yes, this hacker did find a teammate and they ultimately built a nifty hardware hack that satisfied the homework requirement too).

The homework as hack demo

The homework as hack demo

Tech Deep Dives
Next up on the schedule were the Tech Deep dives. Organizations had a half-hour to give a deeper view of what their technology is capable of. Some hackers want to know more about how to do particular things with an API or technology. This is their opportunity to find out all about the nuts and bolts, to ask questions from the experts. The Tech Deep Dives are strictly optional – many hackers skip them and instead start forming teams, sharing ideas, initializing their repos and writing code.

Kevin does the Rdio API deep dive

Kevin does the Rdio API deep dive

Hack Time

After all the preliminaries are over it was finally time to start hacking.

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Hackers formed teams, large and small.

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The competition for the best vest was fierce:

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They staked out a comfortable workspace in chairs …

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Or on the floor …

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There were some very creative hardware hacks:

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Software hacks:

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Plenty of good food

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And lots of fun

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Overnight Hacking
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The Microsoft NERD was only available until 9PM – after that we moved over to hack/reduce – a wonderful hacking space a five minute walk away. There we were greeted by a perfect hacking space with lots of great wifi, great hacker lighting, and lots of beer.  Hacking continued all night. Some hackers did try to get some sleep (either at the hack, or back at home), but some hardcore hackers stayed the whole night.

By 9AM on Sunday morning, the hackers were back at the NERD, for lots of coffee, some breakfast and then more hacking.

Hacking ends

At 2:30, hacking was officially over, and teams submitted their projects to Hacker League. Sixty hacks were submitted.

Demo Session
By 3PM the 200 hackers had all gathered back into the big room joined by a hundred folks who had come just to see the demo session.  Hackers had two minutes to show their stuff. It is a hard demo to give. You are giving a demo of software that you’ve just finished building. It might have some bugs. The WiFi is a little flaky, you haven’t slept in 24 hours, your hands are shaking from too much coffee and too much nervousness, you have to type while holding a microphone and your laptop just won’t sync with the projector just right, and the audio isn’t coming out of the speakers, and the colors look all wrong on the screen. All in front of 300 people.  I’ve done it dozens of times and it still is a really scary demo to give. But it is incredibly exhilarating too – to take nothing but an idea and turn it into something that can amaze or amuse a room full of tech elite in 24 hours. It is quite a rush.

Here I am giving my demo, heart pounding, blood racing ...

Here I am giving my demo, heart pounding, blood racing …

There were two A/V setups so while one team was presenting, the next team was setting up. This allowed us to get through 60 demos in just over two hours. There was a very low incidence of demo fail. And only two inappropriate demos (one was a 2 minute powerpoint presentation with no tech built, the other was a 2 minute tech commercial for a product). I was worried that we might have a #titstare moment with one hack that seemed to contain questionable content but that hacker apparently decided not to present.

The  60 hacks represented a wide range of domains. There were games, music learning tools, programs designed to create, manipulate, remix and even destroy music. I’d love to cover them all, but there are just too many.

The full list is on hacker league. Here are some of my absolute favorites:

String Theory – A musical instrument and sound sculpture build from yearn and stretch sensors and powered by an Arduino.

 String Theory Submitted A musical instrument and sound sculpture build from yearn and stretch sensors and powered by an Arduino.

String Theory

The Lone Arranger – a terminal app that allows you to easily rearrange your audio. By a father and son hacking team.

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The Secret History of Music – combs biographies, lyrics, and commentary from song meanings from two artists, combines them into one fictional artist, and uses Markov chain magic to generate a 50K novel about this new fictional band.

LED Soundsystem – this hack attempts to generate a light show synchronized to the music. It has a special place in my heart because the hacking team was working on the same problem I was working on for my abandoned hack – i.e. automatically finding the ‘drop’ in a song.  Unfortunately, this team had a demo fail – but they are smart guys and I expect to see good stuff from them at the next hack day.

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eHarmonica – an electronic harmonica!

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Enter the dragon – In today’s world, everyone deserves a spectacular entrance. And we intend to give it to them. Enter the Dragon uses bluetooth technology to detect when a user enters the room and plays their personalized entrance music.

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Dadabots – Dadabots are bot accounts on creative websites that make procedural creations or remixes of other creations

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ios SoundPuzzle A simple iOS ear training game built programmatically from the free music archive and the echonest remix api.DSC_3290___Flickr_-_Photo_Sharing_

danceomatictotally awesome automatic choreography from an mp3 and a web based stick figure performance.

Jotunnslayer –  Never again listen to power metal without slaying ice giants. Die in battle. Earn your place in Valhalla.

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Give Me Liberty or Give Me Death Metal – Political representation via musical exploration

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Echos – Choose your favorite song and shoot to the beat! Fight enemies that respond to and are controlled by the music! Listen closely and experience unparalleled power as you get into the groove! Enjoy addictive arcade-style game-play in this twist on a classic formula.

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TweetTones – a native iOS application that generates synthesized music from tweets in real-time.

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Short-Attention Span Playlist Scanner – Glenn made a radio scanner that find and plays just the choruses.

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ionian Eclipse – A web-based multiplayer top-down space shooter with procedurally generated enemies and interactions driven by music events.

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CFD is Colorful Fluid Dynamics: A HTML5 Music Visualizer and Spotify Plugin – A music visualizer written entirely in vanilla javascript/canvas that is based on computational fluid dynamics and a complex particle system.

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ColorMe – Ever wondered what your music looked like? Now you can look at songs by your favorite artist with this super fun web app, powered by the Echo Nest.

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How Repetitive –  measures how often audio segments repeat themselves within in a given song.

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Jason’s music visualizer – an html/css visualizer on steroids.

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And last, but by no means least, Jonathan’s awesome MIDI Digester that converts audio to MIDI and back, over and over to generate some very strange sounds. The very essence of the music.

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There are so many excellent hacks, I’m sure I’ve missed many notables. Luckily, Evolver.fm covered the event, so expect to see Eliot’s writups on all the best hacks on Evolver.fm.

Prizes

At the end of the mega demo session, there’s a brief prize awarding ceremony where a half-dozen organizations give out modest prizes for hackers that made cool stuff using their tech.

Finally we adjourned to the local pub for some food, beer and hacking recaps.

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Special thanks to the organizers of the event. The Music Hack Day would not happen without Elissa and Matt. They do all the hard work. Finding the venue, wrangling the sponsors and volunteers, making a mega Costco food run, dealing with the A/V, running the registration, selecting and hiring the caterers, designing t-shirts and so much more. There’s a huge amount of work that goes into planning the event, much more than meets the eye.  Elissa and Matt are the unsung heroes of Music Hack Day. We should make a music hack to sing their song.

Elissa and Matt. The Unsung Music Hack Day Heros

Elissa and Matt. The Unsung Music Hack Day Heros

Thanks also to the event sponsors: Rdio, Spotify, Microsoft, hack/reduce, Free Music Archive, SoundCloud, Mailchimp and The Echo Nest, and the many volunteers who came and helped us run the whole show.

Some of the awesome and unusually attractive volunteers at Music Hack Day Boston

Some of the awesome and unusually attractive volunteers at Music Hack Day Boston

More Music Hack Days
Interested in going to a Music Hack Day? Check out the Music Hack Day calendar for upcoming events. There’s one in Helsinki this weekend, and there’s one in London in just a few weeks. More events are rumored to be in the planning stages for 2014.

(Photos mostly by Michelle Ackerman, a few by me)

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PAPPA – Paul’s Awesome Party Playlisting App

For my Boston Music Hack Day hack I built Yet Another Party Playlisting App (YAPPA), because the world needed another party playlister – but really, I built it because I needed another hack, because 15 hours into the 24 hour hackathon I realized that my first hack just wasn’t going to work (more on that in another post). And so, with 9 hours left in the hack day, I thought I would try my hand at the party playlisting app.

The YAPPA is a frequently built app. In some sense one can look at the act of building a YAPPA as a hacking exercise. Just as a still life painter will practice by painting a bowl of fruit, or a pianist will practice scales, a music hacker can build their hacking muscle by creating a YAPPA.

The essential features of a YAPPA are straightforward – create a listening experience for a party based upon the tastes of the guests.  Allow guests to suggest music for the party, apply some rules to select music that satisfies all the guests, and keep the music flowing.

With those features in mind, I created my party playlisting app. The interface is dead simple – guests can add music to the party via the master web interface or text the artist and song from the mobile phones to the party phone number. Once the party has started, PAPPA will keep the music flowing.

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The key technology of PAPPA is how it picks the music to play next. Most YAPPAs will try to schedule music based on fairness so that everyone’s music taste is considered. Some YAPPAs also use song attributes such as song hotttnesss, song energy and danceability to make sure that the music matches the vibe of the party. PAPPA takes a very different approach to scheduling music. That’s because PAPPA takes a very different approach to parties. PAPPA doesn’t like parties. PAPPA wants everyone to go home. So PAPPA takes all of these songs that have been carefully texted to the party phone number, along with all the artist and song suggestions submitted via the web and throws them away. It doesn’t care about the music taste of the guests at the party. In fact it despises their taste (and the guests as well). Instead, PAPPA selects and plays the absolute worst music it can find. It gives the listener an endless string of the most horrible (but popular) music. Here’s a sample (the first 3 songs are bait to lure in the unwitting party guests):

  1. Royals by Lorde
  2. Levels by Avicii
  3. Blurred Lines by Robin Thicke
  4. #Twerkit featuring Nicki Minaj by Busta Rhymes
  5. From The Bottom Of My Broken Heart by Britney Spears
  6. Amigas Cheetahs by The Cheetah Girls
  7. Do Ya Think I’m Sexy by Paris Hilton
  8. Incredible by Clique Girlz
  9. No Ordinary Love by Jennifer Love Hewitt
  10. Mexican Wrestler by Emma Roberts
  11. I Don’t Think About It by Emily Osment
  12. A La Nanita Nana by The Cheetah Girls
  13. Don”t Let Me Be The Last To Know by Britney Spears
  14. Wild featuring Big Sean by Jessie J
  15. Heartbeat (Album Version) by Paris Hilton
  16. Love The Way You Love Me by The Pussycat Dolls
  17. When You Told Me You Loved Me by Jessica Simpson
  18. Jericho by Hilary Duff
  19. Strip by Brooke Hogan
  20. Pero Me Acuerdo De Tí by Christina Aguilera
  21. Bang Bang by Joachim Garraud
  22. Right Now featuring David Guetta (Sick Individuals Dub) by Rihanna
  23. Wilde Piraten by The Cool Kids
  24. Friend Lover by Electrik Red
  25. Betcha Can’t Do It Like Me by D4L
  26. Who’s That Girl by Hilary Duff
  27. Get In There, Frank! by Fun
  28. Hold It Don”t Drop It by Jennifer Lopez
  29. Sweet Sixteen by Hilary Duff
  30. Live It Up featuring Pitbull by Jennifer Lopez
  31. Freckles by Natasha Bedingfield
  32. I Want You by Paris Hilton
  33. Hold It Close by Fun
  34. Magic by The Pussycat Dolls
  35. How To Lose A Girl by Mitchel Musso
  36. Fairy Tales by JoJo
  37. Slow It Down featuring Fabolous (Album Version (Explicit)) by The-Dream
  38. Mr. Hamudah by Charles Hamilton
  39. Promise by Vanessa Hudgens
  40. Metamorphosis by Hilary Duff

How does PAPPA find the worst music in the world?  It looks through all the data that The Echo Nest is collecting about how people experience music online to find the songs that have been banned frequently. When a music listener says “ban this song” they are making a pretty strong statement about the song – essentially saying, “I do not ever want to hear that song again in my life”.  PAPPA finds these songs that have the highest banned-to-play ratio (i.e. the songs that have been proportionally banned the most when play count is taken into consideration) and adds them to the playlist. The result being a playlist filled with the most reviled music – with songs by Paris Hilton, Jennifer Love Hewitt and the great Emma Roberts. The perfect playlist to send your guests home.

At this moment, lets pause and listen to the song Mexican Wrestler by Emma Roberts:

[spotify http://open.spotify.com/track/48rQ4vyXnSTeqbBkZba5og]

What happens to all those carefully crafted text messages of songs sent by the guests?  No, there’s no Twilio app catching all those messages, parsing out songs and adding them to a play queue to be scheduled. They just go to my phone. That’s so if people are not leaving the party fast enough, I can use all the phone numbers of the guests to start to text them back and tell them they should go home.

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By the way, if you look at the songs that were texted to me during my two minute demo you’d realize how fruitless a YAPPA really is. There’s no possible way to make a party playlist that is going to satisfy everyone in the room. Tastes are too varied, and there’s always that guy who thinks he is clever by adding some Rick Astly to the party queue. Here’s what was texted to me during my two minute demo:

  1. Gregory Porter – be good
  2. Rebecca Black – It’s Friday
  3. Weird Al Yankovic – Fat
  4. Lady Gaga – Applause
  5. Weird Al Yankovic – Amish Paradise (from a different phone number from the other weird Al fan)
  6. Ghostbusters
  7. boss ass bitch
  8. Basement Jaxx raindrops
  9. John Mayer your body is a wonderland
  10. jay z holy grail
  11. Underworld spikee
  12. wake me up
  13. Britney Spears – Hit Me Baby One More Time
  14. Slayer War Ensemble
  15. Bieber baby
  16. KANYE
  17. Royksopp
  18. Ra Ra riot
  19. Rick Astley
  20. Mozart
  21. OSM
  22. Mikey Cyrus
  23. Hi paul
  24. Stevie wonder overjoyed

Imagine trying to build a party playlist based upon those 24 input songs. Admittedly, a hackathon demo session is not a real test case for a party playlister but I still think you’d end up with a terrible mix of songs that no smart algorithm, nor any smart human, could stitch together into a playlist that would be appropriate and pleasing for a party.  My guess is that if you did an A/B test for two parties, where one party played music based upon suggestions texted to a YAPPA and the other party played the top hotttest songs, the YAPPA party would always lose. I’d run this test, but that would mean I’d have to go to two parties. I hate parties, so this test will never happen. Its one of the flaws in our scientific method.

Who are the worst artists?
Looking at the PAPPA playlists I see a number of recurring artists – Britney Spears and Paris Hilton seem to be well represented. I thought it would be interesting to create a histogram of the top recurring artists in the most banned songs list.  Here’s the fascinating result:

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One thing I find notable about this list is the predominance of female artists.  Females outnumber males by a substantial amount.  Here’s some pie:

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80% of the most banned artists are female. A stunning result. There’s something going on here. Someone suggested that the act of banning a song is an aggressive act that may skew male, and many of these aggressively banning males don’t like to listen to female artists. More study is needed here. It may involve parties, so I’m out.

Wrapping it all up

I enjoyed creating my PAPPA YAPPA. Demoing it was really fun and the audience seemed to enjoy the twist ending.  The patterns in the data underlying the app are pretty interesting too. Why are so many banned songs by female artists?

If you are having your own party and want to use PAPPA to help enhance the party you can go to:

                     static.echonest.com/pappa/?phone=603+555+1212 

Just replace the phone number in the URL with your own and you are good to go.

PAPPA - Paul's Awesome Party Playlisting App - Ruining parties since 2013

PAPPA – Paul’s Awesome Party Playlisting App – Ruining parties since 2013

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Dogstep

For my Malmö Music Hack Day hack I built an app called Dogstep. Dogstep takes any song and re-renders it such that a pack of dogs harmonizes along with the song.  It was a lot of fun to build and I was rather pleased with the results.  You can try the app out yourself: Dogstep.

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I got to try a few new things on this hack. First, off I needed some good dog sounds. I found all I needed and more at Freesound.org. What a great resource that is! I then needed to process the barks (trim them, pitch shift them, volume-equalize ). For this I used Audacity. It was way easier to use than garageband and it has all the audio filters that I needed (including the awesome Paul’s stretch we can make any howl sound like a banshee from hell).

To create realistic and varying barking, I created a barking state machine, where each state in the machine represents the barking activity for a bar in the song and each state has a set of transitions to other states in the machine governed by a probability that that transition will be taken.  When a song is playing, I use the state machine to pick the state for the currently playing bar and emit the barking audio at the right times within the bar.  Here’s a visualization of the barking state machine:

barkstates.gv

In addition to these barks, I look for the loudest parts in the songs and add a bunch of extra howling at these peak moments.  Finally, I use the Stylophone play-along algorithm to have one of the dogs try to sing along with the melody.

Creating this state machine was really fun. There’s still a few bits that I want to do – such as having separate state machines for different parts of the song – i.e. a state machine when the song is very quiet vs. one when the song is loud and energetic.  A hack is never really done.

The source for the hack is on github.

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Music Hack Day NYC

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Music Hack Day NYC has just wrapped up, and what a great weekend it was!. Hosted at Spotify’s spiffy new headquarters in midtown, Music Hack Day NYC was the place to be if you are passionate music, technology and building stuff. During all night Friday and all day Saturday, hundreds of hackers used music APIs from companies like The Echo Nest, Soundcloud, Gracenote, Rdio and of course Spotify, to build next generation music apps.

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It was a really fun event. The Spotify headquarters are perfect for hacking. Flawless and apparently limitless wifi/bandwidth, awesome A/V setup, and great sound for an unending social hacking playlist.

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Over the course of about 20 hours of hacking, 36 hacks were built and demoed.  There was quite a range of inventive hacks. Some of my favorites:

EERFY
The crowd favorite was Oscar Celma’s extremely clever EERFY – He solved the Music Industry Problem in 24 hours by turning it upside down with EERFY:

halfstep
Another favorite was Leo and Jason’s halfstep –  a chrome extension that motivates you to move more. How? If you only moved 20% of your movement goal yesterday, then halfstep will also let you listen to first 20% of any songs today. Check out the screencast of their hack.

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PartyOutlook
There were lots of great Echo Nest hacks including the Echo Nest prize winner partyOutlook by Matt Egan. PartyOutlook is a CocoaLibSpotify powered iPad jukebox that accepts tracks via the Twillio API and displays real-time information about the life of the party using Echo Nest song data. Allows an administrator to pause and play music, as well as skip tracks.

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TuneTravelr
Another really neat Echo Nest hack was TuneTravelr created by Chris Evans and Joshua Boggs. Tune Travelr  is a web app that  takes cities and locales a well as a time period and returns a  playlist of songs that were hot at the time. It uses the Echo Nest data to leverage some analytic querying, before pipping the results into Rdio’s web API for playback.

TuneTravelr

MoodVenue
MoodVenue used The Echo Nest API to help find out what’s going on tonight based on your mood and location.

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Repetition faceoff
Artists fight to the death, using only the sheer repetitive force of their music! By Brian McFee. Brian used the Echo Nest analysis data to build a custom metric for repetition for any song and used that to score songs by the artist for the face-off.

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Cheese Tray
A novel use of The Echo Nest API was Cheese Tray – A  Spotify app that takes selects randomly from among your Spotify playlists and analyzes it. It then adds to that playlist a song that best represents the average attributes of the playlist, as given by The Echo Nest API. Then, via SMS through the Twilio service, it sends a command to your Android device that changes its background to the album artwork for that average song.

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Songs About
Uses wikipedia articles titled ‘List of songs about…” to generate Spotify/Rdio playlists about different subjects/places. Songs about used The Echo Nest’s Rosetta Stone to get the song IDs for playing in Spotify and Rdio.

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Awesome Chart Explorer

This is my hack. A visualization that lets you explore and listen to 50 years of Billboard charts.
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ccRex
Upload a song, ccRex’ll fetch Creative Commons music to match using Echo Nest song attributes to determine the best match.

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Other nifty Echo Nest hacks:

  • opporTUNEcontext dependent playlisting based upon weather, activity, location, time of day and your favorite genresopporTUNE____Music_Hack_Day_NYC_2013____Hacker_League
  • crowdPlay – an SMS enabled party playlisterCrowdPlay_-2
  • BPM Reader –  an app that updates a playlist in real-time based on user keyboard input correlated to BPM. Tap in your beat, and generate a playlist of songs with that rhythm.facemelter.neocities.org
  • Moody calls – Get a phone call with a song that matches your moodMoodyCalls
  • Spotify V. Rdio -Pitting the two music platforms against each other using your listening history
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  • Perl client for the Echo Nest – Ajax built a library that provides support for nearly all of The Echo Nest API features.
    trs-80_WWW-TheEchoNest

All in all, it was a great event with lots of awesome, innovative hacks and lots of smart people. A good time was had by all.  Thanks to Spotify and @mager for organizing the event. Well Done!

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The Awesome Chart Explorer

I just finished coding up my Music Hack Day NYC hack called The Awesome Chart Explorer. It’s a web app that combines Billboard and Echo Nest data into a visual wonderland. (yes, I’m a little tired). Check it out here.  Almost time to give the demo, so more about the tech behind the hack later on.

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The Perfect Music Hack

There have been 30 Music Hack Days since the movement began back in 2009.  Since then there have been somewhere around 1,500 music hacks built.  I’ve seen lots of and lots of hacks, many have been technical marvels that have become the seeds of new music startups. However,  there’s no better hack to demonstrate what music hacking is all about than the hack by Iain Mullan called ‘Johnny Cash has been Everywhere‘.  This web app is simple – it plays Johnny Cash’s version of “I’ve been everywhere”, while it shows you on a Google  map all of the places Johnny has been.  Check the hack out here:

Johnny_Cash_Has_Been_Everywhere__Man___-_Music_Hack_Day_London_2012_-_Iain_Mullan

To me it’s the perfect hack because it captures all that is best about music hacking. First, it combines a few web services that had never been combined before (Tomahawk, MusixMatch and Google maps). Second, it has absolutely no commercial value: it’s an app built entirely for and around an obscure,  20 year old recording of a 50 year old song – there is no way to repackage this hack for other songs since just aren’t that many songs that list a hundred cities. Third,  its simple – inside and out. Most first year Javascript programmers would be able to re-create this app, and the only thing the user needs to do is hit the play button. But despite its simplicity Iain has done a great job making it polished enough to show to anyone. Fourth, its original. I’ve never seen any hack like this before, not an insignificant feat considering the 1,500 music hacks that have already been built.  And finally – it is whimsical and fun. It exists only for the 4 minutes of pure enjoyment you get from watching it play through that first time.

As we enter the thick of Music Hack Day season, I offer up this hack as an example of  a hack to aspire to. Whimsical, original, simple and fun. Don’t worry about the business plan, don’t worry about cramming in every feature or API, just build something neat.  And I look forward to seeing what Iain builds at his next Music Hack Day

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