tweets

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

1 row where quoted_status = 1385354953468772356 and user = 33521530 sorted by lang

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quoted_status 1 ✖

  • 1385354953468772356 · 1 ✖

favorite_count 1 ✖

  • 1 1

created_at (date) 1 ✖

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
1429170239598587910 swyx 33521530 2021-08-21T19:55:12+00:00 @arahansen they are where you are! Twitter, YouTube, HN, Reddit, Discord. Seek out people on the same path as you, by definition, they should be easy to find. Learn to distinguish the tourists from the serious learners/builders. to connect with higher profile mentors and sponsors: https://twitter.com/swyx/status/1385354953468772356   1385354953468772356 1385354953468772356   Twitter for iPhone 95f3aaaddaa45937ac94765e0ddb68ba2be92d20 0 [11, 282] 1429164237364944900 360717290 arahansen       1 0 1 0 0 0 en  

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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]);