All companies

Orthogonal

Customer Support AI · 3.3K followers · LinkedIn benchmark, last 12 months (reposts)

data ends 2026-03-19

Report card vs prior 12 months

Posts

8

+100%

Posts/wk

0.2

+100%

Median eng.

70.5

-90%

Smart avg

163.9

-81%

Total eng.

1.4K

-60%

Baseline vs market

  • Median engagement 70.5 top 55% of 31 tracked companies
  • Posts per week 0.2 top 97% of 31 tracked companies
  • Engagement per 1K followers 52.99 top 23% of 30 tracked companies

Industry percentile withheld: only 2 tracked Customer Support AI companies (needs 4+).

What worked

No category clears the 8-post floor in this window.

Floors: 8+ posts per category, 8+ per timing bucket.

Who carried it

  • 1. Christian Pickett · Co-Founder989 engagement over 3 posts (100% of team engagement)

Top-person dependency: 100% of team engagement rides on one poster.

Top posts

  • 2026-01-30 · Christian Pickett · Product Update946 eng. (684 likes · 221 comments · 41 shares)

    Orthogonal (YC W26) is building a simple way for AI agents to discover and pay for APIs. AI agents are about to become the biggest consumers

    View post →
  • 2026-03-19 · Company page · Celebratory Announcement126 eng. (87 likes · 18 comments · 21 shares)

    Congratulations to the Top 12 DevTech Startups in YC W26! https://lnkd.in/gFDwaXs4 Orthogonal (YC W26) - Agentic Payments for APIs OpenSpec

    View post →
  • 2026-03-06 · Company page · Product Update97 eng. (94 likes · 1 comments · 2 shares)

    PredictLeads is now available on Orthogonal (YC W26). 🤝 Through this integration, AI agents can access PredictLeads company intelligence si

    View post →

Summary

  • Posting pace rose 100% vs the prior 12 months (0.1/wk → 0.2/wk).
  • Typical-post engagement fell 90% (median 698.5 → 70.5).
  • Christian Pickett drove 100% of team engagement — a single-poster dependency worth watching.
  • Median engagement of 70.5 sits in the top 55% of 31 tracked companies.
2025-08-022026-08-02 · Benchmark by Imagine AI · methodology at benchmark.imagineai.me/dashboard/methodology