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On October 30th, 1987, an unknown band played an acoustic set at CBGBs. A few New Yorkers got to see them. The songs became classics. That band was Guns N Roses.
BandsNearby is a Spotify app that helps you discover amazing, unknown bands that are playing at the intimate NY venues you know and love. You can easily build a playlist of music based on dates and venues. For example, the bands playing in the Lower East Side next Friday and Saturday. Then spend the week getting to know your favorite songs and which shows are worth checking out.
You love your local music venues like Living Room, Rockwood, and Arlene's Grocery. But should you plan to see next Friday's show at Cake Shop? Or Pianos?
BandsNearby is the ultimate local music discovery tool.
Users will get a brief of the policies agreement of a specific site or services they're signing up to. Also companies will be rated for their performance in managing private information.
The problem we are solving is the lack of knowledge about policies in different sites.
It'll be a free Google Chrome Extension for anyone interested in see what specific policies are about and want crowdsource their experience with an specific policy in terms of privacy and security.
I'm part of a group of lawyers who are doing this pro-bono so it'll sustain as long as they keep committed.
Here is the extension and screenshots:
You need to have a google/gmail account and join the following google group
and THEN go to this site using Chrome while logged in with the google account you joined the group:
Please Call me if you have problems!
For a full description of the PriView project, please see: http://priviewratings.org/the-project/
For info on BLIP's legal hackathon, please see: http://legalhackathon.blipclinic.org/panels-and-workshops/priview/
My contact information is 954-8251840
This is the app that will change everything!
It'll disrupt Hollywood, politics, sports!
No more people losing their careers because they're so horny they can't wait to post their pics NOW!!!
THEY ARE SAFE! WE ARE ALL SAFE!!!
Famous or not, you're free to post whatever part of your body you consider wise to reveal and still remain anonymous!!!
An improved SDK to make localization easier for Parse Developers
Eargorithm is an attempt to disrupt music Discovery.
Musical discovery had been an underwhelming performer in digital music offerings. It starts with an amazing promise but soon enough it becomes an endless rabitt hole of mediocre bands and less than compeling artists.
In today;s world the big winners in incidental listening, traditional radio, satellite radio and Pandora have a common bond; little or no effort to present a compelling solution.
Eargorithm is based on that idea, zero effort and one click play that actually sounds pretty good.
We achieve this leveraging three factors with multipl data points. THe expert´s opinion, the common folk opinion and market validation. We do this with an alogorithm that obtains a weighted average in the quality of a song. After that we cut the offering to 24 songs and ranked them to create a playlist pattern of two hours of music with rotation levels.
This playlist is a responsive playlist that reacts and adapt energy and rhythm according to the user habit, not the mood.