All companies

ScyllaDB

Dev Tools & Infrastructure · 29.1K followers · LinkedIn benchmark, last 30 days (original)

data through 2026-08-01

Report card vs prior 30 days

Posts

50

-7%

Posts/wk

11.7

-7%

Median eng.

11

-12%

Smart avg

12.5

-14%

Total eng.

631

-21%

Baseline vs market

  • Median engagement 11 top 81% of 48 tracked companies · top 80% of Dev Tools & Infrastructure (n=5)
  • Posts per week 11.3 top 4% of 48 tracked companies · top 20% of Dev Tools & Infrastructure (n=5)
  • Engagement per 1K followers 0.43 top 81% of 48 tracked companies · top 80% of Dev Tools & Infrastructure (n=5)

What worked

  • Product Update — smart avg 13.9 across 11 posts (1.3× typical)
  • Industry Insight — smart avg 13 across 10 posts (1.2× typical)
  • Event — smart avg 11.6 across 29 posts (1.1× typical)

Best format: Video (smart avg 12.6, 8 posts). Best day: Thursday. Best time block: 3pm–6pm UTC. Floors: 8+ posts per category, 8+ per timing bucket.

Who carried it

No employee posts in this window (company-page only).

Top posts

  • 2026-07-23 · Company page · Industry Insight34 eng. (24 likes · 2 comments · 8 shares)

    When running high-throughput systems on machines with many cores, CPU time spent on low-level I/O handling competes directly with CPU time n

    View post →
  • 2026-07-18 · Company page · Industry Insight27 eng. (22 likes · 1 comments · 4 shares)

    In two previous blog posts, we explored real-world performance investigations on storage-optimized instances with high-performance NVMe RAID

    View post →
  • 2026-07-09 · Company page · Product Update26 eng. (22 likes · 0 comments · 4 shares)

    As of version 1.5.0, ScyllaDB is now a supported database source in MCP Toolbox for Databases. This means that your agents and applications

    View post →

Summary

  • Posting pace held steady vs the prior 30 days (11.7/wk).
  • Product Update posts earned 1.3× the company's typical post (11 posts).
  • Median engagement of 11 sits in the top 81% of 48 tracked companies.
2026-07-032026-08-02 · Benchmark by Imagine AI · methodology at benchmark.imagineai.me/dashboard/methodology