ScyllaDB
ScyllaDB has 29.7K LinkedIn followers. The company page and its 10 tracked people published 141 original posts in the last 90 days, mostly event announcements. That is about 11 posts a week; 123 came from the page itself and 18 from people on the team; the most recent went up on Sep 21, 2026. Most of those were images (73%), with videos at 16% and text-only posts at 11%. By post type, event announcements lead at 52%, then product announcements at 21% and industry thought leadership posts at 16%. Against the Imagine AI research baseline of 20,000+ LinkedIn posts, the team's typical post lands below the baseline median and bottom half in Dev Tools & Infrastructure. The most active posters are Scotty May (16 posts) and Michael Malgeri (2 posts).
What format they post
Who posts for them
What works for them
- 1. Product announcement→
- 2. Industry thought leadership→
- 3. Customer highlight→
- 4. Event announcement↓
What they post
Post counts are the public LinkedIn posts Imagine AI collects for the company page and the people the benchmark tracks there, taken over the 90 days to Sep 21, 2026; reshares are left out of the post count and the format mix. Follower counts come from the last profile check. The band compares a typical post, the geometric mean of reactions on posts that have had two weeks to settle, with the Imagine AI research baseline of 20,000+ posts from B2B startups. How the benchmark is built.
