Codename veni vidi vici AKA a #moviehackday story in three parts by @matteoc @punkrats
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The #moviehackday presentation from the team composed by @matteoc and @punkrats that arrived second at the hack day demo competition on june 4-5 2011. Track the hashtag on http://www.lafabbricadellarealta.com/lifestream/hashtag-tracker/moviehackday-june-4-5-2011-berlin/
Codename veni vidi vici AKA a #moviehackday story in three parts by @matteoc @punkrats
- 1. veni vidi vici a #moviehackday story in three parts
- 2. veni
- 3. expectations Start a conversation Meet mad geniuses Write (a bit) of code
- 4. winning Start a conversation Meet mad geniuses Write (a bit) of code
- 5. vidibus an open source toolkit for building distributed (video) applications running on ruby
- 6. 鍖lmizer A prototype movie social aggregator now looking for a pivot
- 7. 鍖lmizer + vidibus a technology+business oriented approach early critique makes better projects following agile & lean
- 8. brainstorming & storytelling this is how we spent the morning and part of the afternoon
- 9. vidi
- 10. looking for wow factor user usage scenario business case
- 11. customer centric does it solve a problem? YES/NO does it have a market? YES/NO
- 12. vici
- 14. watch rate 財 enjoy... ...a customized stream of trailers based on your ratings.
- 15. customer assumption People love trailers People watch trailers when they 鍖nd them A simple interface can increase casual
- 16. industry assumption Trailer are free advertising for movie distributors... ...and free content for us
- 17. business assumption A customized streaming channel can be supported by advertising and affiliation
- 18. marketing assumption Pandora for trailers is a simple and attractive proposition. It may spread.
- 19. technological assumption It can be a showcase of the potential of the MoviePilot API
- 20. status Scraping content Accessing MoviePilot recommendation & IMDB API Setting up the playlist generator/user pro鍖ler
- 21. next steps your feedback a name an interface soft launch
- 22. Collect Analyze Learn Collect data from the live website Analyze usage patterns/revenue numbers Apply learning to the project then...
- 23. ...start again! from veni
- 24. 嗚 thank you MoviePilot: wonderful hosts Fellow Hackers: beautiful community Berlin: laid back+productive
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