tweets
5 rows where favorite_count = 49 and source = "1f89d6a41b1505a3071169f8d0d028ba9ad6f952" sorted by lang
This data as json, CSV (advanced)
Suggested facets: user, retweet_count, favorited, retweeted
created_at (date) 5 ✖
- 2021-08-14 1
- 2021-09-24 1
- 2021-12-02 1
- 2021-12-14 1
- 2021-12-26 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1426537001868685314 | Rajat Gupta 1297539457696980994 | 2021-08-14T13:31:39+00:00 | If you mugged up the rules of React Hooks like me - watch this. Great explanation of the internals by @swyx https://youtu.be/KJP1E-Y-xyo | Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 | 0 | [0, 133] | 0 | 10 | 49 | 0 | 1 | 0 | en | ||||||||||
1441436063923195905 | swyx 33521530 | 2021-09-24T16:15:12+00:00 | A lot of startups pursue barbell sales, aka going for self serve and enterprise at same time. But by IPO, the truth shakes out in the # of customers and avg revenue: Confluent: 2.5k, $160k ACV Datadog: 8k, $37k ACV Atlassian: 51k, $5k ACV wildly diff product/sales/marketing! | Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 | 0 | [0, 278] | 0 | 3 | 49 | 0 | 0 | en | |||||||||||
1466544085041233922 | Jason Laster 312750384 | 2021-12-02T23:05:31+00:00 | Would you like to help scale the craziest backend I’ve ever seen? http://Replay.io's tech stack is TS, EC2, K8S, and Pulumi, but what makes it fun is that one debugging session can be anywhere from one to one hundred browsers co-located across several instances. | Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 | 0 | [0, 270] | 0 | 21 | 49 | 1 | 1 | 0 | en | ||||||||||
1470775386611011590 | Zach Leatherman 96383 | 2021-12-14T15:19:12+00:00 | Has anyone wrote a blog post detailing the history of using Utility Classes when authoring CSS? Interested in reading more about the origin story (*looks in @jay_hoffmann’s general direction*) | Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 | 0 | [0, 193] | 0 | 2 | 49 | 0 | 0 | en | |||||||||||
1475112373283598346 | swyx 33521530 | 2021-12-26T14:32:50+00:00 | For those who understand optionality, there's also an implicit life career strategy involved here: 1. go for high luck careers first to try your luck 2. try a few high talent careers to discover if you have it 3. fall back to high hard work careers as they're available to anyone | Twitter Web App 1f89d6a41b1505a3071169f8d0d028ba9ad6f952 | 0 | [0, 280] | 1475105975518765063 | 33521530 | swyx | 0 | 2 | 49 | 0 | 0 | en |
Advanced export
JSON shape: default, array, newline-delimited, object
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]);