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Workflow

Cold DM Personalization at Scale

Send DMs on X or LinkedIn that read like they were hand-written.

1 min readupdated 2026-07-04

/ quick answer

Enrich each target with their recent public activity, then draft a DM referencing one specific artifact. Send DMs on X or LinkedIn that read like they were hand-written.

Send DMs on X or LinkedIn that read like they were hand-written. The problem it solves: Generic DMs get ignored; hand-writing 50/day is unsustainable. Enrich each target with their recent public activity, then draft a DM referencing one specific artifact. It runs in 5 steps, starting with given a list of handles, scrape last 10 public posts each. This workflow node is part of the Onexial knowledge graph and links to related concepts, workflows and tools below.
Problem
Generic DMs get ignored; hand-writing 50/day is unsustainable.
Solution
Enrich each target with their recent public activity, then draft a DM referencing one specific artifact.
Steps
  1. 01Given a list of handles, scrape last 10 public posts each.
  2. 02LLM summarizes 'what they care about right now' in one line.
  3. 03Draft a 2-sentence DM referencing one specific post.
  4. 04Human review in a batch of 20 before send.
  5. 05Log responses and iterate the hook.
Tools Used
Related Dictionary
/ frequently asked

What does the Cold DM Personalization at Scale workflow do?

Enrich each target with their recent public activity, then draft a DM referencing one specific artifact.

What problem does Cold DM Personalization at Scale solve?

Generic DMs get ignored; hand-writing 50/day is unsustainable.

How many steps does Cold DM Personalization at Scale take?

5 steps. It starts with given a list of handles, scrape last 10 public posts each. and ends with log responses and iterate the hook..

Which tools does Cold DM Personalization at Scale need?

It uses ai-sales-stack — each linked below with its own node.