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Zilliz

AI Infrastructure ยท 25.9K followers ยท LinkedIn benchmark, last 90 days (original)

data through 2026-09-11

Momentum vs prior 90 days

Posts

59

-28%

Posts/wk

4.6

-28%

Avg engagement

6.2

smart avg / post

-37%

Momentum

+3%

2nd half of window vs 1st

2026-07-02 โ†’ 2026-09-30 ยท Benchmark by Imagine AI ยท methodology at benchmark.imagineai.me/dashboard/methodology

Engagement trend

Posting volume (bars) vs average engagement per post (line) โ€” page + team, original posts

Momentum over time

Change in average engagement per post vs the previous week โ€” green gaining, red losing

Category mix

Cadence

Average engagement by day posted (Pacific time)

Team contribution

Team data through 2026-07-27 โ€” employee scrapes lag this window; low numbers here mean stale data, not a quiet team.

Company page posts โ€” counted in every number on this pageExclude

What drives engagement

Smart avg engagement per post across every post in this window. Gray rows at the bottom are under the sample floor (8+ posts per category, 8+ per format) โ€” too few posts to trust the average.

By category

Event7.115 posts
Product Update5.829 posts
Industry Insight5.613 posts
Customer Highlight7.41 post ยท low n
Meme / Humor6.91 post ยท low n

By format

Video6.410 posts
Image6.139 posts
Text Only69 posts
Document7.41 post ยท low n

Best day: Friday. Best time block: 3pmโ€“6pm UTC. Timing detail is in the Cadence chart above.

Best performing posts

  • 2026-08-24 ยท Company page ยท Customer Highlight27 eng. (21 likes ยท 0 comments ยท 6 shares)

    ๐ŸŽฌ ๐—ง๐˜†๐—ฝ๐—ฒ ๐—ฎ ๐—ฐ๐—ต๐—ฎ๐—ฟ๐—ฎ๐—ฐ๐˜๐—ฒ๐—ฟ, ๐—บ๐—ผ๐—ผ๐—ฑ, ๐—ผ๐—ฟ ๐˜€๐—ฐ๐—ฒ๐—ป๐—ฒ. ๐—™๐—ถ๐—ป๐—ฑ ๐˜๐—ต๐—ฒ ๐—ฟ๐—ถ๐—ด๐—ต๐˜ ๐—บ๐—ผ๐—บ๐—ฒ๐—ป๐˜ ๐—ณ๐—ฟ๐—ผ๐—บ ๐—บ๐—ผ๐—ป๐˜๐—ต๐˜€ ๐—ผ๐—ณ ๐—”๐—œ ๐—ฐ๐—ฟ๐—ฒโ€ฆ

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  • 2026-08-14 ยท Company page ยท Event23 eng. (14 likes ยท 0 comments ยท 9 shares)

    ๐Ÿ”ฅ Webinar invitation: ๐—™๐—ฎ๐˜€๐˜๐—ฒ๐—ฟ ๐—ฎ๐—ป๐—ฑ ๐— ๐—ผ๐—ฟ๐—ฒ ๐—ฃ๐—ผ๐˜„๐—ฒ๐—ฟ๐—ณ๐˜‚๐—น ๐—™๐˜‚๐—น๐—น-๐—ง๐—ฒ๐˜…๐˜ ๐—ฆ๐—ฒ๐—ฎ๐—ฟ๐—ฐ๐—ต ๐˜„๐—ถ๐˜๐—ต ๐— ๐—ถ๐—น๐˜ƒ๐˜‚๐˜€ ๐Ÿฏ.๐Ÿฌ Milvus is knโ€ฆ

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  • 2026-07-27 ยท Anya Sage ยท Meme / Humor17 eng. (13 likes ยท 0 comments ยท 4 shares)

    An older Tiger Data (creators of TimescaleDB) blog post worth sharing because the stack simplification quest remains super relevantโ€”so does โ€ฆ

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  • 2026-07-08 ยท Anya Sage ยท Event17 eng. (13 likes ยท 0 comments ยท 4 shares)

    If you're managing sensor data from a factory floor, IoT devices in the field, or any workload generating a continuous stream of timestampedโ€ฆ

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  • 2026-08-13 ยท Company page ยท Event15 eng. (12 likes ยท 0 comments ยท 3 shares)

    ๐Ÿ‡ฏ๐Ÿ‡ต ๐—ญ๐—ถ๐—น๐—น๐—ถ๐˜‡ ๐—›๐—ฎ๐—ป๐—ฑ๐˜€-๐—ผ๐—ป | ๆ—ฅๆœฌ่ชžใƒ™ใ‚ฏใƒˆใƒซๆคœ็ดข | September 17, Tokyo If you want to improve your RAG performance, scale vector search to meetโ€ฆ

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Worst performing posts โ€” settled posts only (published โ‰ฅ7 days before the data edge)

  • 2026-07-15 ยท Company page ยท Product Update0 eng. (0 likes ยท 0 comments ยท 0 shares)

    Semantic retrieval finds the right document. Semantic highlighting shows users exactly why it is relevant by surfacing the passages that matโ€ฆ

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  • 2026-07-15 ยท Andrew Nolasco ยท Industry Insight0 eng. (0 likes ยท 0 comments ยท 0 shares)

    The next competitive advantage won't be adopting AI first. It'll be proving its impact.

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  • 2026-07-09 ยท Company page ยท Product Update1 eng. (1 likes ยท 0 comments ยท 0 shares)

    When compute and storage are separated, and data lives on object storage, vector data exposes a problem that traditional columnar layouts weโ€ฆ

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  • 2026-07-15 ยท Company page ยท Product Update1 eng. (1 likes ยท 0 comments ยท 0 shares)

    The operational simplicity is the interesting part here. Entities, relations, and passages stay in linked Milvus collections, so multi-hop rโ€ฆ

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  • 2026-07-30 ยท Company page ยท Product Update1 eng. (1 likes ยท 0 comments ยท 0 shares)

    In the latest release of Zilliz Cloud, we introduced a dedicated large Top-K search capability designed to accelerate corner-case mining forโ€ฆ

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