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AI Infrastructure · 59.1K followers · LinkedIn benchmark, last 12 months (original)

data through 2026-07-30

Report card vs prior 12 months

Posts

219

+48%

Posts/wk

4.2

+50%

Median eng.

36

-4%

Smart avg

61.4

-30%

Total eng.

17.1K

+3%

Baseline vs market

  • Median engagement 36 top 54% of 87 tracked companies · top 14% of AI Infrastructure (n=7)
  • Posts per week 4.2 top 47% of 87 tracked companies · top 57% of AI Infrastructure (n=7)
  • Engagement per 1K followers 1.33 top 73% of 84 tracked companies · top 57% of AI Infrastructure (n=7)

What worked

  • Industry Insight — smart avg 98.9 across 73 posts (2.7× typical)
  • Product Update — smart avg 62 across 84 posts (1.7× typical)
  • Personal Story — smart avg 60.7 across 16 posts (1.7× typical)
  • Event — smart avg 51.4 across 24 posts (1.4× typical)

Best format: Image (smart avg 103.1, 114 posts). Best day: Wednesday. Best time block: 3pm–6pm UTC. Floors: 11+ posts per category, 11+ per timing bucket.

Who carried it

  • 1. Danny Williams · Machine Learning Engineer7.2K engagement over 20 posts (75% of team engagement)
  • 2. Daniel Madalitso Phiri · Senior Developer Relations1.1K engagement over 27 posts (12% of team engagement)
  • 3. Chad Tindel · Senior Principal AI Solution Architect526 engagement over 33 posts (5% of team engagement)

Top-person dependency: 75% of team engagement rides on one poster.

Top posts

  • 2025-10-07 · Danny Williams · Industry Insight1.5K eng. (1.3K likes · 44 comments · 137 shares)

    I've been building RAG systems wrong this whole time. Turns out we're processing 90% irrelevant information. REFRAG fixes this massive incon

    View post →
  • 2025-09-17 · Danny Williams · Industry Insight1.1K eng. (921 likes · 23 comments · 134 shares)

    You might think all chunking strategies are created equal. You'd be wrong - the difference is 𝘮𝘢𝘴𝘴𝘪𝘷𝘦. Chunking is arguably the most

    View post →
  • 2025-11-05 · Danny Williams · Industry Insight823 eng. (706 likes · 24 comments · 93 shares)

    Stop predicting tokens with your LLM. Start predicting vectors. Every modern LLM, from GPT to DeepSeek, follows the same fundamental process

    View post →

Summary

  • Posting pace rose 50% vs the prior 12 months (2.8/wk → 4.2/wk).
  • Industry Insight posts earned 2.7× the company's typical post (73 posts).
  • Danny Williams drove 75% of team engagement — a single-poster dependency worth watching.
  • Median engagement of 36 sits in the top 54% of 87 tracked companies.
2025-08-022026-08-02 · Benchmark by Imagine AI · methodology at benchmark.imagineai.me/dashboard/methodology