Weekly Intelligence Report

LinkedIn Content
Intelligence Report

13/03/2026 to 19/03/2026

23
Posts Analyzed
6.1K
Total Engagement
01 — Overview

Executive Summary

Total Posts
23
Across all monitored voices
Avg Engagement Score
267.3
Weighted engagement metric
Top Theme
Leadership & Management
Highest average engagement
Best Format
image
Top-performing content type
Period: 13/03/2026 to 19/03/2026 Generated: 19/03/2026 01:04
02 — Themes

Theme Breakdown

Theme Engagement Chart

Top Themes

  • Leadership & Management — 6 posts, avg engagement 767.5
  • Software Engineering — 5 posts, avg engagement 166.4
  • Career & Personal Branding — 1 posts, avg engagement 105
03 — Formats

Format Performance

Format Comparison Chart
image is the top-performing format with an average engagement score of 319.
  • image — avg score 319, 4 posts
  • text — avg score 288.7, 15 posts
  • video — avg score 174.7, 3 posts
  • carousel — avg score 16, 1 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: bold_claim  •  Best CTA pattern: link_click
07 — Voices

Key Voices

Name Seniority Themes Posts Total Engagement
Lenny Rachitsky Creator Leadership & Management, Career & Personal Branding 3 4.6K
Gergely Orosz Creator Software Engineering 3 760
Santiago Valdarrama Creator AI & Technology 3 292
André Martins C-Level AI & Technology, Fintech & Payments 3 223
Waldyr Felix C-Level AI & Technology, Leadership & Management, Software Engineering 3 104
Shreyas Doshi Creator Leadership & Management 2 70
Jether Canhada Director Leadership & Management, Software Engineering 2 68
Cris Kussuki C-Level AI & Technology 2 45
Nei Grando Creator AI & Technology 2 14
08 — Timing

Publishing Patterns

Publishing Heatmap
Best Day
Wednesday
Best Hour
00:00 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: 2 (supply rank #5, demand rank #3)
  • Leadership & Management — Gap score: 1 (supply rank #2, demand rank #1)
  • Software Engineering — Gap score: 1 (supply rank #3, demand rank #2)
  • Fintech & Payments — Gap score: 0 (supply rank #4, demand rank #4)
10 — Newsletters

Newsletter Intelligence

No newsletter data available yet. Add newsletters via python3 tools/manage_newsletters.py add or run detection with detect.
10 — Your Performance

Your Performance vs. Field

Your Eng. Rate
11.6
per 1K followers
Field Avg Rate
2.3
per 1K followers
vs. Field
405% above
engagement rate
Posts Analyzed
3
your posts
Your Performance vs Field

By Theme (rate per 1K followers)

ThemePostsYour RateField RateDelta
AI & Technology 1 5.5 1.0 +4.5
Fintech & Payments 2 14.7 0.0 +14.7

By Format (rate per 1K followers)

FormatPostsYour RateField Rate
text 2 16.2 2.7
carousel 1 2.5 0.0

What drives your engagement

  • Theme: Fintech & Payments posts avg 94 engagement vs AI & Technology avg 35.
  • Format: text posts avg 103.5 engagement vs carousel avg 16.
  • Hook Type: bold_claim posts avg 103.5 engagement vs question avg 16.
  • Cta Type: comment_prompt posts avg 172 engagement vs link_click avg 25.5.
  • Day: Thursday posts avg 74.3 engagement.
  • Hour: 0h posts avg 74.3 engagement.
  • Text Length: very long (1000+) posts avg 103.5 engagement vs medium (200-500) avg 16.
12 — Actions

Recommendations

  1. Prioritize image posts — Image posts average 319 engagement score, outperforming other formats.
    Action: Aim for at least 2 image posts per week. Study the top performer: A non-technical designer turned 300+ of my podcast transcripts into an RPG game....
  2. Lead with 'bold_claim' hooks — Posts using 'bold_claim' hooks average 310 engagement score across 19 posts. bold_claim (310 avg, 19 posts) outperforms question (79 avg, 3 posts).
    Action: Open your next posts with a bold_claim. Example from top performer: "Today I'm releasing my entire newsletter archive (350+ posts) and all podcast transcripts (300+ epis"
  3. Close with 'link_click' CTAs — 'link_click' CTAs drive 388 avg engagement across 14 posts. link_click (388 avg, 14 posts) is the dominant CTA pattern vs none (104 avg, 4 posts).
    Action: End posts with a link click. Example: "a link to your project in the comments. If you've already built something, slurp in this new data an"
  4. Seize the 'Career & Personal Branding' opportunity — 'Career & Personal Branding' has high engagement (avg 105) but low volume (1 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 Wednesdays around 00:00 BRT — Wednesday is the highest-engagement day (avg 724.2), and 00:00 BRT is the peak hour (avg 355.3).
    Action: Schedule your most important posts for Wednesday around 00:00 BRT. Use other weekdays for lighter content or reposts.
  6. Engage with top voices in 'Leadership & Management' — Lenny Rachitsky (Creator | Lenny Rachitsky) leads 'Leadership & Management' with 2 posts and 4466 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: data, transcripts, give, built, podcast. 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 74.3 engagement, 74.9% below the field average of 296.2.
    Action: Focus on 'Fintech & Payments' where you already outperform (+94 vs field). Reduce posts in weaker themes.
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: 13/03/2026 to 19/03/2026
Total posts analyzed: 23
Key voices monitored: 9

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.