How to find leads from a LinkedIn post, and why commenters beat people who only liked it

Short answer: every public LinkedIn post has a ready-made audience: the people who commented on it and the people who reacted to it. NudgeLink can start from a post link, read those people, score each one against your campaign's targeting and show you the good fits. You review them like any other lead, and nothing is sent without your approval unless you turned on auto-send.

Why start from a post

A search finds people who match a job title. A post finds people who matched a job title and did something this week. The second list is smaller and usually warmer, because each person has just shown interest in the topic. That is also why the first message can say, honestly, why you are writing.

What gets read

• Commenters first, then people who reacted. Someone who did both counts once, as a commenter.
• People only: companies are skipped.
• At most 200 people per run, read from the top of the post.
• Each person is scored on their LinkedIn headline against your targeting, the same way as in a normal search. Fit still decides who is shown.

Why a comment counts for more than a like

A comment takes a sentence of effort and puts a name next to an opinion. A like takes one tap. NudgeLink reflects that: a commenter's intent score starts at 80 and a person who only reacted starts at 60. It is a floor on the intent score and never replaces the fit score, so a perfect-fit reactor can still outrank a poor-fit commenter in your own judgement.

What the message says about it

When a lead came from a post, the first message can mention it once and plainly: that they commented on or reacted to a LinkedIn post by that author. It does not quote the comment and it does not pretend there was a conversation. The text of the post and of the comments never reaches the model that writes your drafts.

How to pick a post

1. Audience first. Choose a post whose commenters hold the job titles in your campaign: a post by one of your customers, by an industry voice about the problem you solve, or about a competitor's announcement.
2. Skip the viral generic post. Thousands of reactions from everywhere means many profiles that do not fit, and each scored profile costs 3 credits.
3. Check the topic is yours. Someone who commented on "hiring season" is not necessarily a buyer of your service.

What it costs

The same as any run: 3 credits for each profile that is scored. The run needs the worst-case balance before it starts, and people under your quality threshold are scored but not shown. Step by step instructions are in the docs: Find leads from a LinkedIn post.

Who is left out

People matching your "Don't target" exclusions, and anyone who has already answered you or rejected you, even under another lead row. See when AI outreach should stop.