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Fireworks AI

AI Infrastructure · 53.3K followers · LinkedIn benchmark, last 90 days (original)

data through 2026-08-13
Excluding from this report:Company page reset

Momentum vs prior 90 days

Posts

13

+63%

Posts/wk

1

+67%

Avg engagement

774.9

smart avg / post

+56%

Momentum

+37%

2nd half of window vs 1st

2026-05-292026-08-27 · Benchmark by Imagine AI · methodology at benchmark.imagineai.me/dashboard/methodology

Engagement trend

Posting volume (bars) vs average engagement per post (line) — team only, original posts

Momentum over time

Change in average engagement per post vs the previous week — green gaining, red losing

Category mix

Cadence

Average engagement by day posted (Pacific time)

Team contribution

Team data through 2026-08-11 — employee scrapes lag this window; low numbers here mean stale data, not a quiet team.

Company page posts not counted in this reportExcluded — undo

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) — too few posts to trust the average.

By category

Celebratory Announcement913.74 posts · low n
Hiring / Recruiting845.21 post · low n
Product Update768.93 posts · low n
Industry Insight756.45 posts · low n

By format

Video9651 post · low n
Image809.56 posts · low n
Text Only709.16 posts · low n

Timing detail is in the Cadence chart above.

Best performing posts

  • 2026-07-16 · Lin Qiao · Celebratory Announcement3.9K eng. (3.5K likes · 302 comments · 100 shares)

    I'm excited to announce our $1.5 billion Series D at a $17.5 billion valuation, led by Atreides Management, Index Ventures, and TCV, with pa

    View post →
  • 2026-07-31 · Lin Qiao · Hiring / Recruiting1.4K eng. (1.3K likes · 71 comments · 5 shares)

    I'm thrilled to welcome Dwarak Rajagopal as Head of Engineering at Fireworks. I've known Dwarak for more than seven years. He's one of the f

    View post →
  • 2026-06-02 · Lin Qiao · Product Update866 eng. (804 likes · 21 comments · 41 shares)

    I'm super excited to announce we GA-ed our first party product with Microsoft Foundry today! This is after 9 months of hard work to bring Fi

    View post →
  • 2026-07-25 · Lin Qiao · Industry Insight788 eng. (748 likes · 18 comments · 22 shares)

    At Fireworks, we believe open models and ecosystem let intelligence compound where value is created - inside every company serving a special

    View post →
  • 2026-06-19 · Lin Qiao · Celebratory Announcement762 eng. (705 likes · 43 comments · 14 shares)

    Honored to be named to Magazine Forbes AI 50 and Fast Company AI 20. AI is becoming a new factor of production. The key question is no longe

    View post →

Worst performing posts — settled posts only (published ≥7 days before the data edge)

  • 2026-07-30 · Lin Qiao · Industry Insight136 eng. (116 likes · 16 comments · 4 shares)

    Open weights are a defender's advantage. dfs-large1 from Depthfirst matches frontier-model performance on vulnerability discovery and was bu

    View post →
  • 2026-07-27 · Lin Qiao · Product Update184 eng. (178 likes · 4 comments · 2 shares)

    Day 0, training and fast inference of K3 on Fireworks. US-hosted, and zero data retention. 🎆 We validated for important tasks, K3 is 2-4.6x

    View post →
  • 2026-07-29 · Lin Qiao · Product Update235 eng. (211 likes · 14 comments · 10 shares)

    I'm super excited to share we launched Fireworks Nexus! When I give talks, I listen to the audience, trying to understand and track their re

    View post →
  • 2026-06-04 · Lin Qiao · Industry Insight403 eng. (378 likes · 11 comments · 14 shares)

    Your model, your frontier! The question every team building with AI has been arguing about for three years: can open-source models do fronti

    View post →
  • 2026-06-16 · Lin Qiao · Industry Insight584 eng. (526 likes · 30 comments · 28 shares)

    Mythos didn't just expose a moderation problem. It exposed a dependency problem -- a company that owns its intelligence gets better every we

    View post →

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