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This is data scraped from swyx's timeline! See blog post

2 rows where favorite_count = 11, lang = "und" and source = "1f89d6a41b1505a3071169f8d0d028ba9ad6f952" sorted by lang

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created_at (date) 2 ✖

  • 2021-10-05 1
  • 2021-11-07 1

source 1 ✖

  • Twitter Web App · 2 ✖

quoted_status 1 ✖

  • 1457353577819746321 1

lang 1 ✖

  • und · 2 ✖

favorite_count 1 ✖

  • 11 · 2 ✖
id user created_at full_text retweeted_status quoted_status place source truncated display_text_range in_reply_to_status_id in_reply_to_user_id in_reply_to_screen_name geo coordinates contributors is_quote_status retweet_count favorite_count favorited retweeted possibly_sensitive lang ▼ scopes
1445307017422258177 swyx 33521530 2021-10-05T08:37:00+00:00 @supabase Art.       Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [10, 14] 1445306296320741379 1219566488325017602 supabase       0 0 11 0 0   und  
1457411078372020229 swyx 33521530 2021-11-07T18:14:13+00:00 https://twitter.com/rrhoover/status/1457353577819746321?s=20   1457353577819746321 1457353577819746321   Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [0, 23] 1416526365172506624 33521530 swyx       1 0 11 0 0 0 und  

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CREATE TABLE [tweets] (
   [id] INTEGER PRIMARY KEY,
   [user] INTEGER REFERENCES [users]([id]),
   [created_at] TEXT,
   [full_text] TEXT,
   [retweeted_status] INTEGER,
   [quoted_status] INTEGER,
   [place] TEXT REFERENCES [places]([id]),
   [source] TEXT REFERENCES [sources]([id]), [truncated] INTEGER, [display_text_range] TEXT, [in_reply_to_status_id] INTEGER, [in_reply_to_user_id] INTEGER, [in_reply_to_screen_name] TEXT, [geo] TEXT, [coordinates] TEXT, [contributors] TEXT, [is_quote_status] INTEGER, [retweet_count] INTEGER, [favorite_count] INTEGER, [favorited] INTEGER, [retweeted] INTEGER, [possibly_sensitive] INTEGER, [lang] TEXT, [scopes] TEXT,
   FOREIGN KEY([retweeted_status]) REFERENCES [tweets]([id]),
   FOREIGN KEY([quoted_status]) REFERENCES [tweets]([id])
);
CREATE INDEX [idx_tweets_source]
    ON [tweets] ([source]);
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