How to schedule posts to Mastodon and Bluesky without losing what makes them different
· OragleGPT
Most social schedulers were designed for Facebook, Instagram and LinkedIn. Mastodon and Bluesky were added later, if at all. If your audience is developers, researchers, open-source users or public-interest communities, a growing part of it now reads these networks, and copying your LinkedIn post across does not work well.
What is actually different
- Length. Bluesky posts are limited to 300 characters. Mastodon's default is 500, but every server (instance) can change it. LinkedIn allows around 3,000 and X 280 on a free account. One text for all of them means either cutting the long version or padding the short one.
- Hashtags. On Mastodon, hashtags are a main way people follow topics, so a few relevant tags help discovery. Write them in CamelCase (#OpenSource rather than #opensource) so screen readers can read them.
- Tone. Both communities react badly to posts that read like ads. A short, plain explanation with a link does better than a headline with emojis.
- Content warnings. Many Mastodon communities expect a content warning for some topics. Check the norms of the servers your audience is on.
A simple workflow
- Write the core message once.
- Make a short version for Bluesky (under 300 characters) and a slightly longer one for Mastodon with two or three CamelCase hashtags.
- Keep the long version for LinkedIn and your blog.
- Schedule all of them for the same time, or stagger them by audience time zone.
Doing this in GPTpost
In GPTpost you write the post once and then edit a separate version for each network. Each version is checked against that network's own length limit when you schedule it, so a Bluesky version that is too long is caught then, not when it fails at the scheduled time. Mastodon, Bluesky and Lemmy are connected without any app-review wait, and the same post can also go to X, DEV, WordPress, Telegram, Discord or Slack.
Today GPTpost publishes text posts to Mastodon and Bluesky. It does not attach images to them yet, and it does not read replies or metrics back from either network.