Outbound Catalyst
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The LinkedIn Engine Playbook

How we book about 10 meetings a week on LinkedIn for less than 2 hours a day. The engine works the signals around the clock: it sorts incoming connection requests, turns profile views into connection requests and drafts a DM the moment someone accepts. Nothing reaches LinkedIn until it is approved in Slack.

LinkedIn8 steps
The daily loop: signals in, triage with Claude, connection requests, DM drafted, 07:30 approval in Slack, sent on LinkedIn. Revise sends a draft back to Claude to rewrite.
Signals become sent DMs only after one approval a day. Times are Lisbon time, Monday to Friday.
  1. 01

    Watch the signals all day

    • Check incoming connection requests every 30 minutes
    • Check profile viewers every 2 hours
    • Turn good-fit signals into connection requests, up to 50 a day
    • Draft a DM the moment someone accepts
  2. 02

    Write your triage rubric first

    • Tier A, buyer: founders, CEOs, CROs, heads of sales, revenue, growth or RevOps at B2B software companies (roughly 10 to 1,500 people) in your regions. Accept, connect, DM
    • Tier B, network: GTM engineers, Clay builders, peer founders, VCs and angels, event organisers, podcasters. Accept, lighter DM
    • Hold: individual contributors at good-fit companies, vague headlines, unclear region. A human decides
    • Reject: vendors pitching you, recruiters, job seekers, B2C, students, empty or fake profiles
    • A wrong reject costs more than a wrong accept: when torn between B and reject, pick hold
    • The note decides: a connection note that pitches a service is a reject, a genuine note is at least a hold
    • Keep the rubric as a plain-text prompt so you can edit it like a document
  3. 03

    Set the DM rules

    • Claude drafts in your voice, from the writing style guide Crispy builds from your own messages
    • Open with "Hi {FirstName}," on its own line. No sign-off, no emoji
    • 3 to 5 short lines, with one personal line about their company, role or the signal
    • Mention the trigger naturally: the event, the profile view, their post
    • One soft ask: a quick call, a coffee, or simply a question. No pitch, no case studies, no numbers
    • Adjust by segment: ask VCs about their portfolio, give service providers a referral angle, give speakers a line about their talk
    • Check the conversation first, so you never send a cold opener into a warm thread
  4. 04

    Clear one approval batch at 07:30

    • One batch lands in a Slack channel every weekday: incoming requests with a recommendation, today's outgoing requests, and every DM draft as its own card
    • Each card has four buttons: Send, Edit, Revise (type feedback, Claude rewrites) or Skip
    • Or reply in the thread: "ok" approves, "send: <text>" sends that exact text, anything else is feedback
    • Approved messages go out between 08:00 and 18:00, spread over the day
  5. 05

    Build the guardrails in

    • Nothing sends without approval, and only one person can approve
    • Approval locks a fingerprint of the exact text: if the text or approver changes, it refuses to send
    • Each message is claimed before sending, so a retry can't send it twice
    • Daily caps: 150 DMs and 50 connection requests, never more than the account has left
    • One open DM per person, and a master switch that runs everything without sending
    • Keep every draft and edit, so you can learn better templates from your changes
  6. 06

    Start with version 1 in an afternoon

    • Connect Crispy to Claude Code: it gives the agent your inbox, connections, profile viewers and sending. Sign up through the Crispy link below for $25 off your first payment
    • Put your triage rubric in the prompt
    • Tell it to check new connections and profile viewers, classify them, draft a DM for each new tier A or B connection, and show you every draft before sending
    • Keep state in a JSON file (seen, invited, drafted, messaged) so it never repeats itself
    • Run it on a loop, approve in the terminal, and tune the rubric and DM rules every day for a week
  7. 07

    Move to version 2 once it's proven

    • Crispy for LinkedIn data and sending, the Claude API for triage and drafting
    • Inngest for schedules and background jobs, Neon Postgres for people, invites, drafts and versions
    • A Slack app with buttons for approvals, hosted on Railway
    • The prompts barely change: the jump is about reliability, phone approvals and guardrails enforced in code
  8. 08

    What comes next

    • More signals: hiring and funding posts, and people engaging with posts in your space
    • Reply handling: drafted replies, and anyone asking for a meeting surfaced right away
    • Learning from edits: a daily stats summary and templates that improve from your changes

Tools mentioned

  • Crispy
  • Claude Code
  • Claude API
  • Slack
  • Inngest
  • Neon Postgres
  • Railway

Linked tools are referral links.

Next playbookThe Prospecting Playbook

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