You can discover which Mastodon tooters also tweeted using my favorite kind of Steampipe query. Credit: Besjunior / Shutterstock I lasted tweeted on Dec 22. (It was, unsurprisingly, a link to a blog post about Mastodon.) Today I wondered what percentage of the people who appear in my Mastodon timeline today also appeared on Twitter today. To start, I wrote this query, which tries to match Twitter and Mastodon usernames. When it finds a match, it reports the day on which that person last tweeted. with mastodon as ( select substring(username from 1 for 15) as username, -- twitter names are max 15 chars 'from:' || substring(username from 1 for 15) as query -- we will query twitter using, e.g., 'from:judell' from mastodon_toot where timeline = 'home' limit 500 ) select m.username as mastodon_person, t.author->>'username' as twitter_person, max(to_char(t.created_at, 'YYYY-MM-DD')) as last_tweet_day from mastodon m left join twitter_search_recent t -- see https://hub.steampipe.io/plugins/turbot/twitter/tables/twitter_search_recent on t.query = m.query group by mastodon_person, twitter_person order by last_tweet_day desc This is my favorite kind of Steampipe query: two different APIs, each represented as a Postgres table, combined with a SQL JOIN. The result looks like this, with nulls for failed matches. +-----------------+-----------------+----------------+ | mastodon_person | twitter_person | last_tweet_day | +-----------------+-----------------+----------------+ | AlanSill | null | null | | Colarusso | null | null | | ... | | williamgunn | null | null | | xian | null | null | | ... | | futurebird | futurebird | 2022-12-29 | | glynmoody | glynmoody | 2022-12-29 | | ... | | khinsen | khinsen | 2022-12-23 | | blaine | blaine | 2022-12-23 | +-----------------+-----------------+----------------+ Next I created a table from the above query. create table public.mastdon_twitter as -- sql as above And then ran this query. select last_tweet_day, count(*) from mastodon_twitter where last_tweet_day is not null group by last_tweet_day order by last_tweet_day desc Here’s the result. +----------------+-------+ | last_tweet_day | count | +----------------+-------+ | 2022-12-29 | 36 | | 2022-12-28 | 6 | | 2022-12-27 | 1 | | 2022-12-26 | 1 | | 2022-12-25 | 2 | | 2022-12-23 | 2 | +----------------+-------+ The 500 toots represented here were created by 93 people who tooted today. select count(*) from mastodon_twitter +-------+ | count | +-------+ | 93 | +-------+ Of those 93 people, 48 have matching usernames. select count(*) from mastodon_twitter where last_tweet_day is not null +-------+ | count | +-------+ | 48 | +-------+ Of the 48 with matching usernames, 36 also tweeted today. So there’s my answer: 75% of the people who appeared in my Mastodon home timeline (when I sampled it just now) also appeared on Twitter today. This series: Autonomy, packet size, friction, fanout, and velocity Mastodon, Steampipe, and RSS Browsing the fediverse A Bloomberg terminal for Mastodon Create your own Mastodon UX Lists and people on Mastodon How many people in my Mastodon feed also tweeted today? Instance-qualified Mastodon URLs Mastodon relationship graphs Working with Mastodon lists Images considered harmful (sometimes) Mapping the wider fediverse Protocols, APIs, and conventions News in the fediverse Mapping people and tags in Mastodon Visualizing Mastodon server moderation Mastodon timelines for teams The Mastodon plugin is now available on the Steampipe Hub APIsSQLWeb DevelopmentSoftware DevelopmentAnalytics