Weekly Intelligence Report

LinkedIn Content
Intelligence Report

07/03/2026 to 14/03/2026

38
Posts Analyzed
73.2K
Total Engagement
01 — Overview

Executive Summary

Total Posts
38
Across all monitored voices
Avg Engagement Score
1.9K
Weighted engagement metric
Top Theme
Career & Personal Branding
Highest average engagement
Best Format
text
Top-performing content type
Period: 07/03/2026 to 14/03/2026 Generated: 14/03/2026 21:59
02 — Themes

Theme Breakdown

Theme Engagement Chart

Top Themes

  • Career & Personal Branding — 3 posts, avg engagement 6.1K
  • AI & Technology — 20 posts, avg engagement 2.1K
  • Leadership & Management — 6 posts, avg engagement 1.1K
03 — Formats

Format Performance

Format Comparison Chart
text is the top-performing format with an average engagement score of 2.1K.
  • text — avg score 2.1K, 33 posts
  • carousel — avg score 1.0K, 4 posts
  • image — avg score 917, 1 posts
  • video — avg score 0, 0 posts
  • poll — avg score 0, 0 posts
04 — Top Posts

Top Posts (1/2)

05 — Top Posts

Top Posts (2/2)

06 — Hooks & CTAs

Hook & CTA Analysis

Hook Patterns

Hook Effectiveness

CTA Patterns

CTA Effectiveness
Best hook pattern: story  •  Best CTA pattern: share_prompt
07 — Voices

Key Voices

Name Seniority Themes Posts Total Engagement
Gergely Orosz Creator AI & Technology, Software Engineering, Career & Personal Branding 5 26.4K
Chip Huyen Creator AI & Technology 3 19.5K
Lenny Rachitsky Creator AI & Technology, Career & Personal Branding 5 11.0K
Shreyas Doshi Creator AI & Technology, Leadership & Management 4 7.6K
Santiago Valdarrama Creator AI & Technology 3 3.6K
Diogo Carneiro C-Level Fintech & Payments 1 1.9K
André Vasconcellos Creator People & Culture 1 1.3K
Rafael Bonin C-Level AI & Technology, Leadership & Management 2 987
Humberto Fukuda Director AI & Technology, People & Culture 3 389
Jether Canhada Director AI & Technology, Leadership & Management 4 279
Waldyr Felix C-Level People & Culture, Software Engineering 3 98
Nei Grando Creator AI & Technology 1 62
08 — Timing

Publishing Patterns

Publishing Heatmap
Best Day
Friday
Best Hour
12:00 BRT
09 — Gaps

Gap Analysis

Gap Analysis
Themes with high engagement but low content volume represent the best opportunities. Top opportunity: Career & Personal Branding.
  • Career & Personal Branding — Gap score: 5 (supply rank #6, demand rank #1)
  • Software Engineering — Gap score: 1 (supply rank #5, demand rank #4)
  • Other — Gap score: 0 (supply rank #7, demand rank #7)
  • AI & Technology — Gap score: -1 (supply rank #1, demand rank #2)
10 — Your Performance

Your Performance vs. Field

Your Eng. Rate
2.5
per 1K followers
Field Avg Rate
23.2
per 1K followers
vs. Field
89% below
engagement rate
Posts Analyzed
3
your posts
Your Performance vs Field

By Theme (rate per 1K followers)

ThemePostsYour RateField RateDelta
AI & Technology 1 4.2 19.2 -15.0
Fintech & Payments 2 1.6 180.2 -178.5

By Format (rate per 1K followers)

FormatPostsYour RateField Rate
carousel 3 2.5 17.2

What drives your engagement

  • Theme: AI & Technology posts avg 27 engagement vs Fintech & Payments avg 10.5.
  • Format: carousel posts avg 16 engagement.
  • Hook Type: bold_statement posts avg 17.5 engagement vs question avg 13.
  • Cta Type: link_drive posts avg 16 engagement.
  • Day: Tuesday posts avg 27 engagement vs Monday avg 8.
  • Hour: 15h posts avg 27 engagement vs 17h avg 8.
  • Text Length: medium (200-500) posts avg 16 engagement.
12 — Actions

Recommendations

  1. Prioritize text posts — Text posts average 2063.9 engagement score, outperforming other formats.
    Action: Aim for at least 2 text posts per week. Study the top performer: Hard to believe: The Pragmatic Engineer has crossed 500,000 subscribers. About 2...
  2. Lead with 'story' hooks — Posts using 'story' hooks average 5,054 engagement score across 3 posts. story (5,054 avg, 3 posts) outperforms bold_claim (1,544 avg, 30 posts).
    Action: Open your next posts with a story. Example from top performer: "Hard to believe: The Pragmatic Engineer has crossed 500,000 subscribers. About 2 years ago, I decide"
  3. Close with 'link_click' CTAs — 'link_click' CTAs drive 1,825 avg engagement across 21 posts. link_click (1,825 avg, 21 posts) is the dominant CTA pattern vs comment_prompt (738 avg, 5 posts).
    Action: End posts with a link click. Example: "To understand the open source AI landscape, I went through the most popular AI repositories on GitHu"
  4. Seize the 'Career & Personal Branding' opportunity — 'Career & Personal Branding' has high engagement (avg 6106.7) but low volume (3 posts). This theme is underserved.
    Action: Create 2-3 posts per week on 'Career & Personal Branding'. The audience is hungry for this content but few creators are supplying it.
  5. Publish on Fridays around 12:00 BRT — Friday is the highest-engagement day (avg 1462.5), and 12:00 BRT is the peak hour (avg 3040).
    Action: Schedule your most important posts for Friday around 12:00 BRT. Use other weekdays for lighter content or reposts.
  6. Engage with top voices in 'Career & Personal Branding' — Gergely Orosz (Creator | Gergely Orosz) leads 'Career & Personal Branding' with 2 posts and 17340 total engagement.
    Action: Comment thoughtfully on posts from top voices in this theme. Build visibility before pitching collaborations.
  7. Ride the wave on trending keywords — The most engagement-weighted keywords are: code, product, pragmatic, engineer, years. These terms appear in high-performing content.
    Action: Incorporate these keywords naturally into your next posts. Combine 2-3 trending terms for maximum resonance.
  8. Close the gap with targeted improvements — Your content averages 16 engagement, 99.2% below the field average of 2089.6.
    Action: Study the top 5 posts in your primary themes and reverse-engineer their hook patterns, formats, and CTAs.
13 — Methodology

Methodology

Data Sources

LinkedIn public posts from a curated roster of key voices in the CTO, fintech, engineering, and AI niches. Posts collected via compliant data access methods.

Collection Period

Period: 07/03/2026 to 14/03/2026
Total posts analyzed: 38
Key voices monitored: 13

Engagement Scoring

Weighted formula:
saves×4 + reposts×3 + comments×2 + likes×1

Tiers: Viral (>95th pct), High (>80th), Medium (>50th), Emerging (rest)

Filters & Disclaimers

Language: Portuguese & English

Engagement data is approximate and based on publicly visible metrics. Rankings reflect relative performance within the monitored set, not absolute LinkedIn benchmarks.