node.js ko
Thomas J. Loverro
Venture investor at RRE Ventures in NYC. Formerly Marketing at Drobo.
Votes (10)
Felt like one of the most complete entries by far. Great job on everything from sounds, to simple Twitter log in plus also the hard stuff with game controls and multiplayer. Excellent job.
Very cool technology and the instant real-time is very neat. Just being able to play across two tabs was innovative. While it could have felt more complete with some basic sound and login, a login may have actually taken away from the simplicity of the experience. Very good overall.
Definitely a fun experiment!
Had an issue at first getting it working but very, very creative. Love it.
Worked as advertised. Felt very complete. Would have helped to have understand the tech behind it to judge the innovation.
Very complete. Obviously fun and cheeky. Some voice over in the video describing the technology behind it would have been appreciated.
paularmstrong
contestantThanks, tomloverro! Apologies on the video! We didn't have much time to complete that portion, with everything we had been writing.
From the implementation side, it's pretty simplistic: we're using sockets and running Impact.js (though we had to do a lot of monkey-patching to make it work outside of a browser environment). All keyboard commands are sent to the server, validated, run, and then the completed position and/or actions are sent to each client. This means that no physics are running on the client-side and everyone should always collide correctly.
It crashed my Chrome browser first time I tried loading it. Second load worked fine. I love the idea however it was unclear to me how these were sorted--it felt like it was just sorted by how many comments each post has which is just about how FB already sorts. What sort of algorithm would you put in if you had more time?
3emad
contestantThanks for your vote and your Great feedback Tom!
If I had more time to put for the algorithm, I would have the users own dictionary of positive and negative dataset, those information can be learned from: - user following/like certain pages,people,brands - comparing the user status,+1,comments against a positive and negative dictionary - the interaction from the "social newspaper" which i plan to make a global comment section and +1's and maximizing posts/pictures and video, although this still would be experimental.
Would love to hear what you think of those initial functions release for a machine learning algorithm.
Very ambitious project--but perhaps too ambitious as there were a lot of interface elements that needed to be created and it felt rough around the edges. I love the concept of more powerful WYSIWYG site design.
Very cool. I had some user interaction issues hitting the "Fire" button (where iOS was wondering if I wanted to "Copy" the screen) but otherwise fairly smooth. Good use of the tech to demonstrate real-time on mobile.
I love this idea--like an Airplay in browser via Node. Very promising start here and fairly complete execution overall! The glitches and skips in the audio definitely detract somewhat. I'm not sure how Apple Airplay corrects for this but I bet given enough time you could really improve this. Great job.