As most of my side projects, “seevl DJ” started as a quick hack on a sunday afternoon. Yet, it has been quickly picked and featured on Fast Company and Hypebot, and also got some attention on Twitter itself.
With a little help from my friends
I’ve spend some time improving it so you can use additional commands, e.g. “a song by”, “play me something like”. In addition, it now uses the Freebase / YouTube mappings combined with the seevl API in order to find an artist’s videos (when using a genre / label / related query).
Last but not least, you can now use “/cc @user” and “for @user” in your Tweet to send a track to any of your friend, the music video being available directly on their feed through Twitter cards (Web and mobile).
Services, actions, and payments on Twitter
Thinking again about Twitter as an intelligent agent on the Web, let’s be bold and imagine this integrated with the buy / Stripe integration. While it’s now used to buy stuff, what about paying for services with it? “Hey @uber, bring @myfriend here”. “Hey @trycaviar, sushis for 6 please”. Both answering with an automated tweet embedding a Buy button so you can validate the order; and get your black car or food home within minutes. All through Twitter.
Natural Language Processing is one way to enable this, but another one is to pre-fill such “service-based tweets” so that users would just have to complete a few fields (e.g. number of people when messaging @opentable). This makes things much easier from the processing side, also providing a friction-less experience to users. Technically, the intelligence can be brought by schema.org actions, as I’ve wrote in the past, using JSON-LD as the supporting data serialisation.