My story of building a Ruby on Rails app in one month to solve the problem of following popular conversation on twitter.

1. Idea 2 app in 1 month A birds eye view of rails app development to cut corners, save time, save money and have fun

2. Before

3. After

4. An idea Ideas are worth nothing Development & Marketing take time Original, simple ideas in 1 Month

5. The problem “Its hard to follow and join in conversation round a given topic with social media. Many people don’t get twitter”

6. The solution “Use advanced search to curate simple, useful conversations around popular topics.” Find the interesting stuff easily

8. Easy to build

9. Simple to understand

10. Min input for max useful outputMock it up

11. The design Also radio, confs, news, brands…

12. Chat room style 2 pages, 1 click.

14. Fast flow of relevant tweets

15. Quick development

19. Hogs workers/processes

21. Streaming In Ruby There’s a gem for that gem install tweetstream Built IN DAEmonizATION TweetStream::Daemon.new(’usr','pwd') .track('term1’, 'term2') do |status| puts "#{status.text}" end

23. Lazy Twitter Solution Simplest: CURB the basic rest api gem install curb status = Timeout::timeout(timeout) do r = Curl::Easy.perform(url) do |c| c.headers["User-Agent"] = ”TB/1.1” end response = r.body_str end

24. Lots of DB Writes Optimize import gem install ’activerecord-import’ tweets = [] raw_tweet = grab_tweets() raw_tweet.times do |t| tweets << Tweet.new(to_fields(raw_tweet)) end Tweet.import tweets

25. Twitter API Quirks - JSON and XML have different data - With Heroku must set a user-agent - Speed Varies - Query Complexity limits - Unpredictable rate limits

27. Twitter Sentiment Analysis Bayesian Classification with Classifier gem + Interesting for age, mood, personality type - Not so good for sentiment on object require 'classifier’ b = Classifier::Bayes.new ’positive', ’negative’ b.train_positive ”I <3 my iPhone” b.train_negative ”iPhone can’t make calls #fail” b.classify ”iPhone is a rip off #fail" # returns ’negative'

28. Twitter Sentiment Analysis Natural Language Processing with Ruby Linguistics Find the direct object of the sentence => “dog” "he is a big dog".en.sentence.object.to_s Find the infinitive verb form of the sentence => “be” "he is a big dog".en.sentence.verb.infinitive

30. Seems complicated

31. No I’m too lazy

32. Cheat: Tweetfeel APIhttp://svc.webservius.com/v1/tweetFeel/tfapi?type=all&wsvKey=mykey&keyword=iprug

35. Detect mentions

36. Detect links

37. Resolve linksf.match(/@[a-zA-Z0-9_]+/) starts_with?('http:') http://api.longurl.org/v2/expand?url=http%3A%2F%2Fis.gd%2Fw&title=1

40. Known image sites yfrog, twitpic, intagram etc

41. Get thumbnails don’t make your own #lazyclass TwitpicResolver < ImageResolver SEARCH_SNIPPET = "twitpic" URL = "http://twitpic.com/show/[size]/[id]" THUMB = "thumb" LARGE = "large" ID_EXTRACTOR = /twitpiccom(.*)/ end

43. SASS is awesome, nesting, variables, mixins

44. SCSS default SASS syntax now

45. HAML

46. CSS cropping = No imagemagikfaff

48. activescaffold

49. Typus is the laziest - search - authentication - paperclip - configure forms via yaml file

51. Lazy Hosting = Heroku git push heroku master

52. Periodic Workers = Heroku heroku rake tweet:eat namespace :tweet do desc "kick off background jobs” task :eat => :environment do require 'workers' Delayed::Job.enqueue(TwitterJob.new() Delayed::Job.enqueue(TwitteratiJob.new()) Delayed::Job.enqueue(ExtracterJob.new()) Delayed::Job.enqueue(Sentiment.new()) end end

53. Workers Cont… Delayed::Job.enqueueTwitterJob(), :run_at => 10.seconds.from_now gem install delayed_job_admin Heroku rake jobs:clear

55. 1 Worker $36

56. 1 Dyno = Free

57. Minimum of $56

59. 3rd party libraries (highchart, typus, nokogiri)

60. 3rd party api’s (tweetfeel, longurl)

61. Keep looking for an easier way

62. Simple design

64. Term extraction (Zemanta, YQL)

65. User age, gender, interests

66. Potty mouth

68. Live on Heroku eating tweets

69. http://falling-galaxy-55.heroku.com/

70. Time consuming adding data

71. Some conversations work great, some don’t

72. Need a bit more filtering cleverness

73. Target is a great way of following SXSW

75. Interested in getting involved?

76. Suffolk Twestival @twestuffolk. Evening of Thu 24th March @ Brewery Tap