Doonish

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Doonish startup presentation by Pau Gay @paugay at betabeers London.

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Doonish

  1. 1. doonish  Online  trivia  game  to  play  with  your  friends   Betabeers  London  –  10/05/2012   Pau  Gay   @paugay  
  2. 2. The  Idea   Online  trivial  game  inspired  in  the     well  known  Trivial  Pursuit   •  Gain  points  when  asking  the  ques;ons  right  and   compete  to  be  the  first  into  the  ranking   •  People  can  create  ques;ons:  Community  generated   base  of  ques4ons   •  A  bit  of  story   –  2007:  First  version   –  2010:  Complete  redesign  
  3. 3. Ques;on  …   Which  element  follows  the  series:   1,  1,  2,  3,  5,  8,  13,  …  
  4. 4. The  Problem   There  is  no  problem  that  we  are  solving   We  are  not  a  medicine,  we  are  a  vitamin  
  5. 5. The  Problem   There  is  no  problem  that  we  are  solving   We  are  not  a  medicine,  we  are  a  vitamin   But  some;mes  we  get  feedback  like  that:   “Buen  día,  una  felicitación  para  ud  por  este  proyecto  tan  bonito  que  le  da   dignidad  al  Internet,  es  para  mi  un  gusto  estar  acá  y  que  la  casualidad  me  halla   traído.  […]”  
  6. 6. The  Team   Toni  Lopez  /  Backend   @picahielos   Really  hard  worker.  Likes  sports  and  the  healthy  life  and  he  is  the  king  of  the  salads.   Works  for  VisualDNA   Miguel  Florido  /  Backend  &  strategy   @miguelflorido   Crea;ve  and  the  ideator.  Likes  to  learn  about  human  brain  and  outer  space.   SoUware  Developer  at  SoUonic  in  BCN.   Manel  Perez  /  SEO   @do-­‐not-­‐have-­‐twi]er-­‐lol   Perfe;onist,  has  op;mized  the  applica;on.  Likes  traveling  and  the  under  the  sea  (he   met  once  The  Li]le  Mermaid).  Working  for  SoUonic.   Pau  Gay  /  Frontend  &  management   @paugay   Executor.  Likes  to  play  and  watch  football  and  strategy  games.  Working  for   VisualDNA  as  SoUware  Engineer.  
  7. 7. Ques;on  …   We  have  100  birds  sibng  in  a  tree     and  we  shoot  with  a  shotgun     and  kill  two  of  them.   How  many  birds  last  on  the  tree?  
  8. 8. The  Technology      Ini4al  approach   “Choose  the  technology  that  will  allow  us  to  do  more  in  less  Lme”      For  that  reason:   •   Use  known  technology   •   Avoid  the  “learning”  part  at  this  stage  
  9. 9. The  interes;ng  part  
  10. 10. The  interes;ng  part  Naïve  Bayes  text  classifier  Help  people  classify  the  ques;ons  in  a  category  depending  on  the  user  words.  See  code:  h]ps://github.com/paugay/doonish-­‐nb-­‐classifier  
  11. 11. The  interes;ng  part  Naïve  Bayes  text  classifier   Tagging  Engine  Help  people  classify  the  ques;ons  in  a   Help  people  classify  the  ques;ons  in  a  tag  category  depending  on  the  user  words.   depending  on  the  using  keywords.  See  code:   Controller  environment  don’t  want  to  go  h]ps://github.com/paugay/doonish-­‐nb-­‐ crazy.  Using  included  and  excluded  keywords  classifier  
  12. 12. The  interes;ng  part  Naïve  Bayes  text  classifier   Tagging  Engine  Help  people  classify  the  ques;ons  in  a   Help  people  classify  the  ques;ons  in  a  tag  category  depending  on  the  user  words.   depending  on  the  using  keywords.  See  code:   Controller  environment  don’t  want  to  go  h]ps://github.com/paugay/doonish-­‐nb-­‐ crazy.  Using  included  and  excluded  keywords  classifier  Donnish  Scrapper  Robot  that  scrap  ques;ons  from  the  compe;tors:   •     TriviNet   •     Listometro  Cookie  management  to  “try  many  Lmes  unLl  get  the  right  answer”.    
  13. 13. The  interes;ng  part  Naïve  Bayes  text  classifier   Tagging  Engine  Help  people  classify  the  ques;ons  in  a   Help  people  classify  the  ques;ons  in  a  tag  category  depending  on  the  user  words.   depending  on  the  using  keywords.  See  code:   Controller  environment  don’t  want  to  go  h]ps://github.com/paugay/doonish-­‐nb-­‐ crazy.  Using  included  and  excluded  keywords  classifier  Donnish  Scrapper   Wikipedia  Text  Robot  that  scrap  ques;ons  from  the   Give  some  extra  content  to  each  ques;on:  compe;tors:   •     TriviNet   1.  Search  ques;on  on  Google   •     Listometro   2.  Get  first  Wikipedia  entry   3.  Go  to  English  entry  Cookie  management  to  “try  many  Lmes  unLl   4.  Get  the  first  text  snippet  get  the  right  answer”.     5.  Translate  to  Spanish  using  Bing  
  14. 14. Ques;on  …   It  is  3.15pm  and  you  are  in  front  of  a  old  clock.   What  is  the  angle  between  the  two     hands  of  the  clock?    
  15. 15. Ques;on  …   It  is  3.15pm  and  you  are  in  front  of  a  old  clock.   What  is  the  angle  between  the  two     hands  of  the  clock?    
  16. 16. What  we  are  doing  right   •  SEO,  op;mized  landing  page  per  ques;on     •  Layer  of  administra;on  to  approve  content   •  Keep  really  low  the  cost  of  the  project  
  17. 17. What  we  are  doing  wrong   •  Homogeny  team   •  Not  engaging  with  the  users   •  Don’t  really  know  how  to  …   –  Mone;ze   –  Do  Social  Media  properly   –  How  to  market  the  product  
  18. 18. The  end   Thanks  a  lot  for  you  a]en;on   Time  for  quesLons,  comments,  insults   Twi]er   twiNer.com/doonisher   Facebook   facebook.com/doonisher  
  19. 19. More  about  doonish  …   Here  there  are  some  links  where  you  can  learn  more  about  doonish  and   the  project.   Interview  @  Todostartups.com   h]p://bit.ly/wXrbzM   Interview  @  betabeers.com   h]p://bit.ly/JzNjSA   Blog  posts  @  my  personal  blog   h]p://paugay.com/blog/category/doonish   Other  men;ons  from  the  Spanish  blogger  scene   h]p://doonish.es/apariciones   Unfortunately  content  is  in  Spanish  at  the  moment  

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