Draft newsletters and social posts in your own voice
A marketer built a Cursor workflow that learns from his content and scraped posts to write newsletters, LinkedIn posts and threads from raw notes.
Done withCursor
- What they did
- Harshit Jain saves messy raw thoughts as a .txt file in a Cursor workspace. Python scripts use Selenium to scrape LinkedIn posts from three marketing leaders and parse newsletter feeds. They also refresh his writing style from his own 32+ LinkedIn posts. The system then drafts a newsletter, LinkedIn posts and a Twitter thread into local folders pushed to Git, where he edits and publishes.
- How it went
- The post says this newsletter itself was generated from a one-line input about being lazy. It gives no time-saved or engagement numbers, and the quality claim (audience can't tell) is unmeasured.
- Worth knowing
- LinkedIn scraping needs browser automation, so you need to be comfortable running Python and Selenium scripts yourself.
Try it yourself with Cursor
Load a few of my past newsletters or posts as style examples, then take these raw notes [paste notes] and draft a newsletter or LinkedIn post in my voice. Revise until the tone and structure match how I actually write, and stop once you have a polished draft ready for me to review.
2 more accounts of this
Source: newsletter.qback.ai · Undated
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