Newsletter and posts in own voice
The author built a Cursor workflow turning raw notes into a newsletter, LinkedIn posts and tweet threads in their own voice.
A messy one-line note became a 2000-3000 word newsletter plus LinkedIn and Twitter drafts; the post itself says it was generated this way and published.
Overview
How it was set up
Cursor with Python scripts, Selenium to scrape LinkedIn posts of marketing leaders, feed parsing of newsletters, and style learning from 32+ of the author's own posts. Output saved to Git folders.
Worth knowing
Author is the only source of the quality claim; no engagement numbers or time savings are given, and LinkedIn scraping needs browser automation.
A prompt to start from
The source does not show the prompt.
Sources 1
History
- Source published
- 2025-08-25
- Added to Agentic Feats
- 2026-10-13
- Pick
- No
- Markdown copy
- /c/newsletter-and-posts-in-own-voice-cursor.md
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