LinkedIn Engagement Lead List
Turn everyone who engaged with a post into a qualified list with real personalization.
What this skill does
Give it a public LinkedIn post URL and it pulls everyone who engaged: the people who commented, and the larger, quieter group who only reacted.
It scores each person against your ICP, drops the ones that clearly do not fit, then reads what the rest have posted or commented on recently to find a genuine personalization hook.
You get a table, or a list ready to push into a sequencer, with a real reason attached to every name.
What you end up with
- Commenters and reactors from any public LinkedIn post, in one list
- Every person scored against your ICP, with job seekers and vendors dropped
- A personalization hook per person taken from their own recent activity
- A CSV you can hand to a sequencer, or push straight into one
Connect to SnitchFeed MCP
Step 1 is to connect your Claude, ChatGPT, Cursor, etc to SnitchFeed.
https://api.snitchfeed.com/mcp Need help connecting? See setup guides for Claude, ChatGPT, Cursor and more .
The prompt
Paste this into any assistant with the SnitchFeed MCP connected. Replace anything in square brackets first. It is written to be edited, so change what does not fit.
LinkedIn Engagement Lead List
You have access to the SnitchFeed MCP. I am going to give you a public LinkedIn post URL. It will usually be a competitor's launch or funding post, an industry leader's post about a problem we solve, or an event announcement. 1. Call snitchfeed_get_org_context first so you know our ICP, our positioning and who our competitors are. 2. Before scraping anything, tell me how many comments and how many reactions you plan to pull, and confirm both counts with me. snitchfeed_extract_linkedin_post_comments and snitchfeed_extract_linkedin_post_reactions each cost 1 credit per item scraped and each take a count between 100 and 1000, so this is two separate charges. 3. Call snitchfeed_extract_linkedin_post_comments on the URL with the comment count I approve. 4. Call snitchfeed_extract_linkedin_post_reactions on the same URL with the reaction count I approve. Reactors are usually the larger and quieter half of the audience and they matter just as much. 5. Merge both lists and dedupe by person. Note for each whether they commented, reacted, or both. Both is a stronger signal. 6. Score every person against our ICP on title, seniority, company size and industry. Drop: - job seekers and students - vendors and consultants selling into our space - anyone clearly outside our ICP Tell me how many you dropped and why, so I can tell if the scoring is too tight. 7. This step has a real cost: snitchfeed_get_linkedin_profile_posts and snitchfeed_get_linkedin_profile_comments each cost 10 credits per call, and you need both per person, so looking up N people costs roughly 20 × N credits. Tell me that estimate and confirm how many of the top-scored people to look up (start by suggesting the top 10 rather than defaulting to 25) before you call either tool. For each person I approve, call both, and find one thing they have said recently that connects to what we do. That is the personalization hook. If there is nothing relevant, say "no hook found" rather than inventing one. 8. Output a table: name, title, company, commented or reacted, ICP score, what they said on the post, their recent relevant activity with a link, and a one-line opener I could actually send. Do not add anyone to a sequence or send any message without asking me first.
How it works
What the agent does once you paste the prompt in, step by step.
- 01
Agree the cost first
Pulling comments costs one credit each, so the agent confirms the number with you before it starts.
- 02
Pull everyone who engaged
The people who commented, plus the much larger and quieter group who only reacted.
snitchfeed_extract_linkedin_post_commentssnitchfeed_extract_linkedin_post_reactions - 03
Keep the ones who look like buyers
It scores each person against your ICP and tells you who it dropped, so you can tell if it is being too strict.
snitchfeed_get_org_context - 04
Find something real to say
Each profile lookup costs 10 credits, so the agent estimates the total and confirms a headcount with you before it reads what people have posted recently to pull out a genuine hook for your opener.
snitchfeed_get_linkedin_profile_postssnitchfeed_get_linkedin_profile_comments - 05
Hand you the list
A table you can import, or a push straight into your sequencer once you approve it.
What it hands back
- A deduped list of commenters and reactors with engagement type noted
- ICP score per person, plus a count of who was dropped and why
- A recent, linked piece of their own activity as the personalization hook
- A drafted one-line opener per person, with 'no hook found' where there genuinely is not one
- A downloadable CSV from the extraction run itself
Make it yours
Paste any of these as a follow-up after the first run, or fold them into the prompt before you start.
- Event list: point it at the event's announcement post and ask it to flag who said they are attending.
- Competitor churn watch: run it on a competitor's product announcement and rank by who sounded unhappy in the comments.
- Quiet buyers only: ask for reactors who did not comment, on the theory that they are researching rather than posting.
- Bulk: give it three or four related post URLs and ask for one merged, deduped list across all of them.
- Tighter ICP: paste your ICP definition into the prompt instead of relying on org context.
Loved by GTM teams
Don't take our word for it.
I love SnitchFeed. Can't recommend it enough.
I really like what I achieved with SnitchFeed.
One dashboard. Every conversation that matters. No more hopping between platforms. Quality product & great founder 🤝
Anyone reading this comment, I've used SnitchFeed and loved it!
Spent 5 minutes on SnitchFeed, dropped a comment → new user
Just started using SnitchFeed and I'm already loving it. Great Work!
I love SnitchFeed. Can't recommend it enough.
I really like what I achieved with SnitchFeed.
One dashboard. Every conversation that matters. No more hopping between platforms. Quality product & great founder 🤝
Anyone reading this comment, I've used SnitchFeed and loved it!
Spent 5 minutes on SnitchFeed, dropped a comment → new user
Just started using SnitchFeed and I'm already loving it. Great Work!
I legit booked 5 meetings with SnitchFeed this week. And it's only Monday...
Does what it says on the tin. Quite well.
Every day I open my laptop, SnitchFeed is the first thing I log into.
Immediately found 5 perfect posts that I replied to on X & LinkedIn. Wasn't expecting that!
The ability to use AI sentiment scoring and get insights on data is incredibly useful. Very hard to find at this price point!
Super easy setup and UI. Actually delivers on what it promises to do.
I legit booked 5 meetings with SnitchFeed this week. And it's only Monday...
Does what it says on the tin. Quite well.
Every day I open my laptop, SnitchFeed is the first thing I log into.
Immediately found 5 perfect posts that I replied to on X & LinkedIn. Wasn't expecting that!
The ability to use AI sentiment scoring and get insights on data is incredibly useful. Very hard to find at this price point!
Super easy setup and UI. Actually delivers on what it promises to do.
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Everything you need to know
Can't find what you're looking for? We're fast to respond.
Still have questions? Reach out at hello@snitchfeed.com
Put this skill to work
SnitchFeed monitors Reddit, X, LinkedIn, Bluesky and Hacker News, scores every mention for fit and intent, and exposes the lot to your agent over MCP.