veni vidi vicia #moviehackday story in three parts
veni
expectations Start a conversation Meet mad geniuses Write (a bit) of code
winningStart a conversation √Meet mad geniuses √Write (a bit) of code √
vidibus  an open source toolkit for buildingdistributed (video) applications running                 on ruby
filmizerA prototype movie social aggregator now           looking for a pivot
filmizer + vidibus a technology+business oriented              approachearly critique makes better projects        followin...
brainstorming    & storytellingthis is how we spent the morning and         part of the afternoon
vidi
looking for    wow factoruser usage scenario   business case
customer centricdoes it solve a problem? YES/NO does it have a market? YES/NO
vici
Pandora for trailers
watch            rate ☺☹            enjoy......a customized stream of trailers based            on your ratings.
customer       assumption         People love trailers People watch trailers when they find                 themA simple in...
industry      assumptionTrailer are free advertising for movie             distributors...      ...and free content for us
business        assumptionA customized streaming channel can besupported by advertising and affiliation
marketing       assumption“Pandora for trailers” is a simple andattractive proposition. It may spread.
technological       assumptionIt can be a showcase of the potential of            the MoviePilot API
status           Scraping contentAccessing MoviePilot recommendation &               IMDB API Setting up the playlist gene...
next steps your feedback    a name  an interface  soft launch
Collect ➡Analyze ➡Learn  Collect data from the live website  Analyze usage patterns/revenue               numbers    Apply...
...start again!    from “veni”
♥        thank you     MoviePilot: wonderful hostsFellow Hackers: beautiful community     Berlin: laid back+productive
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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 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

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