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Content & CreativeAny

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.

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Use case overview

A marketer built a Cursor workflow that learns from his content and scraped posts to write newsletters, LinkedIn posts and threads from raw notes.

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Reported experience

  1. 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.

  2. 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.

  3. Worth knowing

    LinkedIn scraping needs browser automation, so you need to be comfortable running Python and Selenium scripts yourself.

Example prompts

Try 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.

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