Course

Clients from LinkedIn comments

How to get clients by commenting on other people’s LinkedIn posts: find the right posts by search or by having Claude Code pull five hundred into a sheet, write a comment that earns a reply, make the free ask, and turn “add me” into a customer. The whole method from the video, checked, plus what it leaves out.

Lessons

  1. What this is, and who it is for3 min
  2. Decide the offer before you write a word4 min
  3. Find the posts: by hand, or with Claude Code8 min
  4. Write a comment that earns a reply7 min
  5. The profile your comment sends them to5 min
  6. Use AI to draft, and a person to post8 min
  7. How many, how fast, and what gets accounts restricted4 min
  8. From “add me” to a client6 min
  9. Measure it, and what to change when it is not working4 min
  10. The whole thing on one page2 min

Questions this course answers

Can you really get clients from LinkedIn comments?
Yes, if the comment shows you read the post and ends with a small free ask. The source video says its reply rates are “really, really high” without a figure, so the course reports that as unverified and tells you to treat your own first month as the benchmark.
Can I have Claude Code scrape LinkedIn posts to comment on?
That is how the video does it: one prompt pulls five hundred posts on a topic into a sheet with a draft comment beside each. The course teaches the prompt. Be careful with it: LinkedIn’s terms forbid scraping and it restricts accounts it catches, so run it off your main account, keep the volume sane, and post the comments yourself. Lesson three also gives the by-hand routes for anyone who would rather not.
What should a LinkedIn comment that earns a reply look like?
One or two paragraphs of specific value that could only have been written after reading the post, then one free ask phrased in the post’s terms. Under 120 words, no link, and never the same ask twice in a day.
How many LinkedIn comments a day is safe?
Start at five good comments a day, spread across the day, and grow to ten or fifteen over a month if replies are coming. LinkedIn has never published a limit; those figures are the course’s own, set well under the throttling that users reported in 2025.
Can I use AI to write LinkedIn comments?
Yes, and the video has Claude Code write all five hundred at once, with a different ask under each post. The course gives that prompt and the one-at-a-time version. Two rules keep it working: give the model your whole offer document so the ask is specific, and post by hand, because automated posting and repeated text are what get accounts flagged.
Is there a ready-made tool for drafting LinkedIn comments with Claude?
Yes: linkedin-agent-skill, a free MIT set of Claude Code skills. Its /li-comment returns two comments of different types from nine, under the same rules as lesson four, and /li-human scores a draft for machine tells and strips them. We installed and tested it before recommending it; it drafts and will not post, and its cleaner needs a read before you paste. Lesson six has the install steps, and lesson five uses its profile rubric.
What should my LinkedIn profile say before I start commenting?
Who you help and what changes for them, in the headline and the first two lines of About, because that is what a reader who clicks your name from a good comment sees. Lesson five scores a profile on the twelve-item rubric from linkedin-agent-skill; ours scored 42 out of 100 on the first pass, and the fixes that mattered were proof, not wording.
What do I send when someone replies “add me”?
Reply under the comment, send a connection request with a one-line note that names the post, and the moment it is accepted send the free thing with no preamble. Be useful twice more over two weeks before any paid conversation, and disclose it if the group or sheet belongs to a paying client.

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Written by

Alwaz Tahir, founder of ScaleWise VA, a Shopify operations and growth agency. The course is built from a named source, checked line by line; where it goes past what we can stand behind, the page says so rather than nodding along.