tweets
4 rows where "created_at" is on date 2021-10-17, favorited = 0, is_quote_status = 1 and retweeted = 0 sorted by lang
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quoted_status 4 ✖
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 |
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1449631225962909704 | swyx 33521530 | 2021-10-17T06:59:51+00:00 | 1yr since we announced Series A. Been a good year. Learned a lot, slower than I would've liked, but still glad I took the call instead of being comfortable. Looking forward to 2022 being absolutely bananas. https://twitter.com/swyx/status/1316790592605626368 | 1316790592605626368 1316790592605626368 | Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 | 0 | [0, 208] | 1 | 0 | 43 | 0 | 0 | 0 | en | |||||||||
1449816623389437954 | swyx 33521530 | 2021-10-17T19:16:33+00:00 | @jhooks i am wondering if this was me and yeah i dropped “suspense” for that reason lol. but genuinely there are some good and interesting parallels for the curious. also cos it hasnt shipped yet despite 3 years of hype https://twitter.com/swyx/status/1449069225704714246 | 1449069225704714246 1449069225704714246 | Twitter for iPhone 95f3aaaddaa45937ac94765e0ddb68ba2be92d20 | 0 | [8, 220] | 1449788424622202884 | 12087242 | jhooks | 1 | 0 | 3 | 0 | 0 | 0 | en | ||||||
1449825610625212417 | swyx 33521530 | 2021-10-17T19:52:16+00:00 | @patrickc More data to back up @levelsio - I moved my book sales platform from Podia to Stripe Checkout last year. I have anonymous numbers for traffic and compared it against purchases. Conversion went up ~20% for 2 hours of work 🤯 https://twitter.com/swyx/status/1330608936660025344 | 1330608936660025344 1330608936660025344 | Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 | 0 | [10, 258] | 1449823925400076289 | 4939401 | patrickc | 1 | 4 | 80 | 0 | 0 | 0 | en | ||||||
1449884413848809475 | swyx 33521530 | 2021-10-17T23:45:56+00:00 | @noseratio @jhooks our job is executing work across time and unreliable networks and machines: https://twitter.com/threepointone/status/1449112317917110276?s=21, React’s job is rendering the most current version of app state that is ready. i guess perhaps the analogy falls down there but there’s still useful things to borrow from React. | 1449112317917110276 1449112317917110276 | Twitter for iPhone 95f3aaaddaa45937ac94765e0ddb68ba2be92d20 | 0 | [19, 297] | 1449882287240187909 | 33521530 | swyx | 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]);