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Post engager lead list

Paste a LinkedIn post URL and get the ICP-fit people who engaged, each with an opener based on their comment.

For
SDRs and account executives
You provide
A LinkedIn post URL
You get
  • People who fit your ICP
  • Their comment and a drafted opener
  • Everyone cut, and why
Get the prompt
  1. Today we're building a call list for a Deel rep.

    Today we're building a call list for a Deel rep.

  2. Eleven commenters in, five clear Deel's bar of 55.

    Eleven commenters in, five clear Deel's bar of 55.

  3. Edward: 82 out of 100, strongest fit on the thread.

    Edward: 82 out of 100, strongest fit on the thread.

  4. Verified email — flagged as his other company, not this one.

    Verified email — flagged as his other company, not this one.

  5. One prompt built this. Point it at your workspace.

    One prompt built this. Point it at your workspace.

The prompt

Paste it into any coding agent with the Trayo MCP connected.

  • Claude Code
  • Codex
  • Cursor
  • + any MCP client
Use Trayo to build a post-to-pipeline tool. I paste one LinkedIn post URL — mine, a competitor's, or an influencer's — and you pull everyone who engaged with it.

Score each engager against my ICP and drop the ones who do not fit or who work at a competitor. For the ones who do, get their title, company and work email, work out what they care about, and draft a first line that references the specific comment they left. Show a list I can work down, each row carrying the person, their actual comment, and the opener side by side.

Take the tour

A narrated walkthrough of the app.

Sound off

The building blocks

What this app asked Trayo for

Every name, number and email on the page came back from one of these. None of it was typed in.

Reads your workspace

What you sell, who you sell to, and the buyer personas already saved in Trayo.

Researches an account

A live snapshot per company — size, stack, why-now signals and why it fits.

Finds the right people

Named stakeholders at an account, matched to the buying roles you care about.

Gets verified emails

Work addresses with a confidence signal, so a bad match is visible rather than sent.

Reads social activity

Posts and the people engaging with them, for plays that start from a conversation.

How it was built

The data behind each screen, and what's faked for the demo.

Built in 18 min · 5 capabilities · 19 live API calls

This is a working screen for a Deel AE who has just seen a post worth mining. It takes one LinkedIn post URL, pulls everyone who commented, and splits them in two. The worklist is the people who fit: each row is the person, the comment they actually left, and a drafted opening line that answers that comment, side by side at desktop width and stacked on a phone. Opening a row gives the full picture — what Trayo found they care about, their recent roles, their company, their verified work email, and the score broken into its four parts. The second screen is everyone who was dropped, with the reason for each, because a rep needs to trust the filter before they trust the list. The third shows the source post, all eleven people on it, and the ICP the scoring ran against.

The post is Alex Bouaziz’s “Introducing Akai” from 21 September 2026 — Deel’s own CEO, so this is the “mine” case of the three the brief allowed. I picked it after searching Trayo for posts on global payroll, EOR and cross-border hiring and finding that almost every on-topic post in the last 30 days had zero stored comments; this one had the most engagement of anything Trayo held. Trayo supplied all of it: trayo_search_posts found the post, trayo_get_post_engagers returned the author plus 10 commenters with their comments and photos, trayo_research_person_batch came back with roles, insights and challenges for all 10 with no errors, trayo_research_company resolved 6 employers (headcount, industry, one-liner), and trayo_enrich_emails found 4 verified work emails out of 5 attempted. The 5 who passed were written into the Trayo workspace with trayo_add_people. Scores, drop reasons and opening lines are this tool’s judgement layered on that data, not something Trayo returned.

Three honest caveats. The engager set skews to AI-automation practitioners rather than Deel’s people-ops ICP, because the post was about agents, not payroll — so only 5 of 10 passed, and three of those five sit at companies of 1-10 people, just under the 10-employee floor in Deel’s saved ICP; they are kept as founder-buyers and visibly scored down for it. Deel’s competitor rule matched nobody on this post, so the screen reports a clean check rather than demonstrating a drop. Two of the four emails came back verified but on a different domain than the company on record (both people run several ventures), and the UI flags that rather than hiding it. Push to Salesforce, Send opener and Share to Slack are stubs: they raise the kit’s preview toast and nothing leaves the browser. On brand, the kit’s brandFromWorkspace read #C5B1F9 as the primary and #1B1B1A as the ink, text-on-primary and top bar; applyBrand reported that it assumed a white page, tinted the canvas to #faf9ff, and derived #6a5697 for accent text, links and focus rings because the lavender is under 4.5:1 on a light page. Both supplied colours are in use; nothing was left out.

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