tweets

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

5 rows where user = 30192824

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date)

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
1287798586651049985 Gergely Orosz 30192824 2020-07-27T17:14:43+00:00 Mind blown on how well-read @swyx is in the Coding Career Handbook (https://www.learninpublic.org/?a=uguka). He mentions almost all sources I would - like @Lethain on systems thinking or @mipsytipsy on tech risk profiles. I'm also learning tons of new dev stories (e.g. the "MooTools mafia"). https://twitter.com/GergelyOrosz/status/1287798586651049985/photo/1       Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [0, 277]             0 10 111 0 0 0 en  
1424751510995406850 Gergely Orosz 30192824 2021-08-09T15:16:45+00:00 While EU companies are pondering if €80K/year for a senior engineer is too much or not, more (US) VC-funded ones are starting to offer €120K ($140-150K) and up *plus* equity for seniors in Europe. Here’s an example with @RevenueCat, who pay location independent. https://twitter.com/GergelyOrosz/status/1424751510995406850/photo/1       Twitter for iPhone 95f3aaaddaa45937ac94765e0ddb68ba2be92d20 0 [0, 263]             0 75 588 0 0 0 en  
1442537833495990278 Gergely Orosz 30192824 2021-09-27T17:13:15+00:00 A month into a paid newsletter for eng managers/engineers, it's taking off faster than I ever hoped: ~ 500 paid subscribers (thank you!) ~ 15,000 free subscribers ~ $62K ARR - A top 10 @SubstackInc technology newsletter Here's what I learned and advice on writing/newsletters 👇 https://twitter.com/GergelyOrosz/status/1442537833495990278/photo/1       Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [0, 279]             0 33 582 0 1 0 en  
1444208430454034433 Gergely Orosz 30192824 2021-10-02T07:51:36+00:00 There is so little information written about equity for tech employees, and even less by software engineers who benefitted from it. Uber and Square engineer @mcdickenson wrote the book Equity Compensation for Tech Employees, which fills this gap. Here's the table of contents: https://twitter.com/GergelyOrosz/status/1444208430454034433/photo/1       Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [0, 278]             0 31 244 0 0 0 en  
1449977842004074500 Gergely Orosz 30192824 2021-10-18T05:57:11+00:00 The sensible approach is not to delete one or the other. To maximize your "luck surface area" so opportunities find you, use both. They are very different networks. And one more on creating luck from @swyx: https://www.swyx.io/create-luck/       Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [0, 231] 1449976861967147011 30192824 GergelyOrosz       0 10 71 0 1 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]);