twitter

Data source: swyx's twitter data

Custom SQL query returning 1 row (hide)

select 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 from tweets where date("created_at") = :p0 and "display_text_range" = :p1 and "lang" = :p2 and "source" = :p3 and "user" = :p4 order by lang limit 101

Query parameters

This data as json, CSV

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
1452024977499115520	33521530	2021-10-23T21:31:46+00:00	Loving this breakdown of terrible executives and why they happen from @Steve_Yegge: https://www.youtube.com/watch?v=jUtUAc_ew9Y&list=PLZfuUWMTtMcC1DZF6HxJhqsGrBXu8Jzi7&index=14 I was chatting with an exec years after some bad decisions in a previous company. The mistakes were obvious to employees, but nobody ever bothered to ask us. Still stings.				1f89d6a41b1505a3071169f8d0d028ba9ad6f952	0	[0, 280]							0	0	8	0	0	0	en