Imagine AI
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Freeport Markets

Other B2B SaaS · 1.5K followers · LinkedIn benchmark, all time (original)

data through 2026-09-18
Excluding from this report:Company page reset

Momentum — all time

Posts

139

Posts/wk

2.1

Avg engagement

28.1

smart avg / post

Momentum

+50%

2nd half of window vs 1st

2025-07-03 → 2026-09-30 · 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 month — green gaining, red losing

Category mix

Cadence

Average engagement by day posted (Pacific time)

Team contribution

Team data through 2026-04-10 — 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

Personal Story59.814 posts
Industry Insight1997 posts
Celebratory Announcement33.94 posts · low n
Company Update335 posts · low n
Meme / Humor32.23 posts · low n
Event31.36 posts · low n
Hiring / Recruiting30.32 posts · low n
Customer Highlight29.81 post · low n
Product Update28.17 posts · low n

By format

Image5139 posts
Text Only18.292 posts
Carousel34.96 posts · low n
Video31.31 post · low n
Poll29.41 post · low n

Best day: Monday. Best time block: 3pm–6pm UTC. Timing detail is in the Cadence chart above.

Best performing posts

  • 2026-02-27 · Bryan Reed · Personal Story229 eng. (209 likes · 20 comments · 0 shares)

    When I was at NYU, I completely ran out of money. Not "I should probably budget better" ran out. Like actually zero dollars for food. The st…

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  • 2025-09-26 · Bryan Reed · Personal Story226 eng. (201 likes · 23 comments · 2 shares)

    life update: - started Freeport in July - accepted YC offer in Aug - moved to SF in Sept - ????????? in Oct check out freeportmarkets.com

    View post →
  • 2026-03-08 · Lihong Wang · Industry Insight213 eng. (205 likes · 8 comments · 0 shares)

    People think trading is PhDs running black box stat arb machines. Most of the best trades I've seen are way simpler than that. You just need…

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  • 2025-09-26 · Lihong Wang · Personal Story175 eng. (156 likes · 15 comments · 4 shares)

    When Bryan Reed and I started Freeport Markets (YC F25) in July, the only thing we knew was that we wanted to build something ambitious. Wha…

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  • 2026-02-20 · Bryan Reed · Personal Story134 eng. (121 likes · 13 comments · 0 shares)

    I walked away from $240K ARR from my last business and didn't think twice. I had built SailLoft from my college house to a real business. We…

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

  • 2025-07-09 · Lihong Wang · Industry Insight2 eng. (1 likes · 0 comments · 1 shares)

    🔁 Republished Insight: Ever wondered why Warren Buffett’s billion-dollar, century-long put bets before 2008 seemed “crazy” on paper but pai…

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  • 2025-08-04 · Lihong Wang · Industry Insight2 eng. (1 likes · 0 comments · 1 shares)

    🧠 How Inconsistent Preferences Create Arbitrage Opportunities Our utility preferences often defy strict rationality. Human decision-making …

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  • 2025-07-11 · Lihong Wang · Industry Insight3 eng. (2 likes · 0 comments · 1 shares)

    🚀 Thrilled to republish my deep dive on Market Fragmentation—where we unpack best execution 🔍, payment-for-order-flow 💸, dark pools 🌑, a…

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  • 2025-08-01 · Lihong Wang · Industry Insight3 eng. (2 likes · 0 comments · 1 shares)

    Implied Correlation & Index Skew Dispersion trades tap into a fascinating relationship: the link between an index’s volatility 📉 and the vo…

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  • 2025-08-06 · Lihong Wang · Industry Insight3 eng. (2 likes · 0 comments · 1 shares)

    💡 Options-Implied Distributions Are NOT Real-World Distributions What the market prices isn't always what the market *believes. Too often, …

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