Claude Code can process 20-30 posts in minutes instead of hours. Here's how.
Create a folder with text files for each post:
viral-posts/
post-1.txt
post-2.txt
post-3.txt
...
post-30.txt
Or compile them into a single file with separators:
=== POST 1 ===
[full post text]
=== POST 2 ===
[full post text]
=== POST 3 ===
[full post text]
Use this prompt with Claude Code:
I have 30 LinkedIn posts I need analyzed. For each post, extract:
1. Hook type (contrarian, numbers-first, pattern interrupt, question-based, personal story, direct statement)
2. Structure (problem-agitation-solution, listicle, story arc, framework reveal, comparison, single insight)
3. Formatting (paragraph density, bullet style, emoji usage, line spacing)
4. Length (short <500 chars, medium 500-1000, long 1000+)
5. CTA type (comment bait, discussion prompt, DM invitation, link click, soft engagement, no CTA)
6. Voice/tone (authoritative, conversational, vulnerable, teaching, challenging)
Output as a CSV with these columns: Post #, Hook Type, Structure, Format, Length, CTA Type, Voice
Then give me:
- Pattern summary (which types appear most often)
- High-level insights (what the top posts have in common)
- 5 proven templates I can use based on this analysis
The posts are in the /viral-posts/ folder.
Claude Code will:
Time spent: 5 minutes (vs 60-90 minutes manually)