Data source: swyx's twitter data
| 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 |