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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
1430608769319198720 33521530 2021-08-25T19:11:24+00:00 @mwarger @FernandoTheRojo @jamonholmgren yup! gqlless was inspired by babel blade. i think the static analysis approach could probably be built into relay/apollo if people cared enough, but ultimately my attention shifted to GraphQL schema creation rather than consumption https://twitter.com/graphqlasia/status/1128284234928418816   1128284234928418816   1f89d6a41b1505a3071169f8d0d028ba9ad6f952 0 [41, 297] 1430602199801999364 15886909 mwarger       1 0 2 0 0 0 en  

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