home / twitter

tweets

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

4 rows where quoted_status = 1427351638872772633 sorted by lang descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: retweeted

created_at (date) 3 ✖

  • 2021-08-16 2
  • 2021-09-03 1
  • 2021-11-22 1

user 2 ✖

  • swyx 3
  • Andy Hattemer 1

retweet_count 2 ✖

  • 0 2
  • 1 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
1427370301495652354 Andy Hattemer 20355043 2021-08-16T20:42:53+00:00 Lots of great info in this post! @swyx categorizes devrel programs into "Community", "Content" and "Product". For me, here are the "exemplary" companies for each: - Community: @getdbt - Content: @digitalocean (I'm biased) - Product: @Netlify or @vercel https://twitter.com/swyx/status/1427351638872772633   1427351638872772633 1427351638872772633   Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [0, 254]             1 1 22 0 1 0 en  
1427394565107945489 swyx 33521530 2021-08-16T22:19:18+00:00 @willklein_ @Nutlope @kevmodrome @jkup some thoughts here! for tracking need to balance usefulness (whether you can actually act on it) with ability to track (some data is nice to have but difficult to collect). i ended up breaking it down by sub discipline instead https://twitter.com/swyx/status/1427351638872772633   1427351638872772633 1427351638872772633   Twitter for iPhone 95f3aaaddaa45937ac94765e0ddb68ba2be92d20 0 [39, 267] 1420139767820259328 17496447 willklein_       1 0 2 0 0 0 en  
1433716826660167680 swyx 33521530 2021-09-03T09:01:43+00:00 Aug 2021: 126k views, 28k uniques Exactly one hit post on Measuring DevRel: https://mobile.twitter.com/swyx/status/1427351638872772633 The world seems to want me to write more about DevRel, which I struggle with bc I'm not thaat much of an expert and I have mixed feelings about the career path. Tweets way down. https://twitter.com/swyx/status/1433716826660167680/photo/1   1427351638872772633 1427351638872772633   Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [0, 280] 1422264774327300097 33521530 swyx       1 0 3 0 0 0 en  
1462895745615351808 swyx 33521530 2021-11-22T21:28:19+00:00 My favorite nontraditional measure of dev community traction is # of mentions in job descriptions. By this measure, @Temporalio is in incredibly good company for a 2 year old startup: https://temporal.io/careers#external-jobs Help your users hire/get hired and they will be loyal for life. https://twitter.com/swyx/status/1427351638872772633 https://twitter.com/swyx/status/1462895745615351808/photo/1   1427351638872772633 1427351638872772633   Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [0, 297]             1 1 30 0 0 0 en  

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options:

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]);
Powered by Datasette · Queries took 7998.128ms