Codename veni vidi vici AKA a #moviehackday story in three parts by @matteoc @punkrats
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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 ...

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/

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Codename veni vidi vici AKA a #moviehackday story in three parts by @matteoc @punkrats Presentation Transcript

  • 1. veni vidi vicia #moviehackday story in three parts
  • 2. veni
  • 3. expectations Start a conversation Meet mad geniuses Write (a bit) of code
  • 4. winningStart a conversation √Meet mad geniuses √Write (a bit) of code √
  • 5. vidibus an open source toolkit for buildingdistributed (video) applications running on ruby
  • 6. filmizerA prototype movie social aggregator now looking for a pivot
  • 7. filmizer + vidibus a technology+business oriented approachearly critique makes better projects following agile & lean
  • 8. brainstorming & storytellingthis is how we spent the morning and part of the afternoon
  • 9. vidi
  • 10. looking for wow factoruser usage scenario business case
  • 11. customer centricdoes it solve a problem? YES/NO does it have a market? YES/NO
  • 12. vici
  • 13. Pandora for trailers
  • 14. watch rate ☺☹ enjoy......a customized stream of trailers based on your ratings.
  • 15. customer assumption People love trailers People watch trailers when they find themA simple interface can increase casual
  • 16. industry assumptionTrailer are free advertising for movie distributors... ...and free content for us
  • 17. business assumptionA customized streaming channel can besupported by advertising and affiliation
  • 18. marketing assumption“Pandora for trailers” is a simple andattractive proposition. It may spread.
  • 19. technological assumptionIt can be a showcase of the potential of the MoviePilot API
  • 20. status Scraping contentAccessing MoviePilot recommendation & IMDB API Setting up the playlist generator/user profiler
  • 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. ♥ thank you MoviePilot: wonderful hostsFellow Hackers: beautiful community Berlin: laid back+productive