home / twitter

tweets

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

10 rows where favorite_count = 5, in_reply_to_screen_name = "swyx" and is_quote_status = 0 sorted by lang

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: user, display_text_range, retweet_count, retweeted

created_at (date) 9 ✖

  • 2021-08-16 2
  • 2021-08-04 1
  • 2021-09-09 1
  • 2021-09-24 1
  • 2021-10-20 1
  • 2021-11-06 1
  • 2021-11-27 1
  • 2021-12-02 1
  • 2021-12-26 1

is_quote_status 1 ✖

  • - · 10 ✖

in_reply_to_screen_name 1 ✖

  • swyx · 10 ✖

favorite_count 1 ✖

  • 5 · 10 ✖
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
1423001554496507905 Ben Patton 999866712739676160 2021-08-04T19:23:03+00:00 @swyx "You don't have to agree with somebody to offer them loving attention. All you're admitting at that moment is there's a possibility that they are as complicated as you are. And everybody deserves to be heard and respected." Speaking in anything other than loves breeds hate       Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [6, 281] 1422998593158275073 33521530 swyx       0 3 5 0 1   en  
1427108654029758468 swyx 33521530 2021-08-16T03:23:12+00:00 @kspaans on our @dev_invest_feed Discord shares this digraph reverse engineering technique so you can pretty much tell at a glance what kind of file it is without any other knowledge https://recon.cx/2013/slides/Recon2013-Christopher%20Domas-The%20Future%20of%20RE-Dynamic%20Binary%20Visualization.pdf (warning... big PDF) https://twitter.com/swyx/status/1427108654029758468/photo/1       Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [0, 228] 1427092639250149378 33521530 swyx       0 0 5 0 0 0 en  
1427141503743193089 swyx 33521530 2021-08-16T05:33:44+00:00 I think this is where I plug my soundcloud Gals: https://www.youtube.com/watch?v=PaghIdSJKvQ Guys: https://www.youtube.com/watch?v=9V7nQrtMQEw early 2010s collegehumor was best collegehumor       Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [0, 152] 1426711010291847170 33521530 swyx       0 0 5 0 0 0 en  
1435801439331241987 swyx 33521530 2021-09-09T03:05:13+00:00 3/ I’ve handpicked 4 weeks of content, and you can expect about 90 mins/week in total. The interactions are asynchronous, which allows me to answer more of your questions. I’d love for you to join me! https://twitter.com/swyx/status/1435801439331241987/photo/1       Typefully 295366d0fb34352a1961af2413827f072adefdb9 0 [0, 200] 1435801433253695491 33521530 swyx       0 0 5 0 0 0 en  
1441524053659947013 swyx 33521530 2021-09-24T22:04:51+00:00 Developers will literally tweet about how they have 25 years experience and still spent 4 hours chasing down an errant semicolon instead of moving to FP       Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [0, 152] 1422811409683914752 33521530 swyx       0 0 5 0 0   en  
1450660179976933380 swyx 33521530 2021-10-20T03:08:33+00:00 4 years on and still in awe. https://youtu.be/H3By4DZyTNM       Twitter for iPhone 95f3aaaddaa45937ac94765e0ddb68ba2be92d20 0 [0, 53] 830637054417571840 33521530 swyx       0 0 5 0 0 0 en  
1456878684548173827 swyx 33521530 2021-11-06T06:58:40+00:00 4 day old comment on a 1 year old video getting 15k likes. https://www.youtube.com/watch?v=oC4RqrxzfMI https://twitter.com/swyx/status/1456878684548173827/photo/1       Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [0, 83] 1453585223594041351 33521530 swyx       0 0 5 0 0 0 en  
1464740702714155008 swyx 33521530 2021-11-27T23:39:31+00:00 @goEnjoy How do they make money? The suitcase has upsells - airpods, phone cases and such. They also get compensated for every install of Apple Services, e.g. if I sign up for a free month of Apple One through them. Went public at $1.1b via SPAC last month. SPAC holders *hate it* lol https://twitter.com/swyx/status/1464740702714155008/photo/1       Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [9, 286] 1464739372167688193 33521530 swyx       0 0 5 0 0 0 en  
1466486562145726466 swyx 33521530 2021-12-02T19:16:57+00:00 @supabase @logflare_logs @chasers note to self: make brand color of next startup vivid green       Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [34, 92] 1466486286437412873 33521530 swyx       0 0 5 0 0   en  
1475138273899323393 swyx 33521530 2021-12-26T16:15:45+00:00 For those who like economics: High luck industries have a huge amount of deadweight loss from all the people trying their luck (call it search/friction cost). Who's working on better models of industrial organization that more quickly identifies talent and incentivizes work?       Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [0, 277] 1475112373283598346 33521530 swyx       0 0 5 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 1515.268ms