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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1430388488923324417 | 33521530 | 2021-08-25T04:36:05+00:00 | @mikeal i worked at AWS and supabase is outshipping teams 10x their size and funding. i dont know whats in the water there but @kiwicopple and team have got it. https://twitter.com/swyx/status/1424586713490358275?s=21 | 1424586713490358275 | 95f3aaaddaa45937ac94765e0ddb68ba2be92d20 | 0 | [8, 185] | 1430193529565839368 | 668423 | mikeal | 1 | 6 | 82 | 0 | 0 | 0 | en | ||||||
| 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 |