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 "is_quote_status" = :p1 and "retweeted" = :p2 and "source" = :p3 and "user" = :p4 order by lang limit 101

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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
1348027297912082433	33521530	2021-01-09T22:02:07+00:00	🆕 Blog: What Drives Optimal Overhead? https://www.swyx.io/optimal-overhead/ We're often advised to "Slow down to speed up". But how much slowdown is too much? 5%? 50%? How does it differ between human and machine systems? An exploration of optimal and tolerable overhead. https://twitter.com/swyx/status/1348027297912082433/photo/1				1f89d6a41b1505a3071169f8d0d028ba9ad6f952	0	[0, 265]							0	9	51	0	0	0	en