LEAD GENERATION

Alert Sales in Slack When a Target Account Spikes Its Open Roles

Tracks open-req counts per target account over time and posts a Slack alert the moment a company's hiring surges past your threshold, with the new roles listed.

CategoryLead Generation
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerRecurring schedule fires
  • ActionCount open roles per account via ApifyApify
  • ActionRead prior headcount snapshotPostgreSQLPostgres
  • LogicFlag accounts past surge threshold
  • ActionWrite updated snapshotPostgreSQLPostgres
  • OutputPost surge alert to SlackSlack

What it does

A sudden jump in open roles means a team is scaling and budget is moving. This workflow counts each target account's live job postings on a schedule, compares against the prior snapshot, and fires a Slack alert when a company crosses your surge threshold — so reps strike during the buildout, not after.

When to use it

Use it when team expansion is your trigger and timing matters. Best for selling enablement, tooling, headcount-driven services, or anything where 'they're growing fast' opens a door. Pairs well with a list of named accounts you already prioritize.

How it works

  1. 1A schedule runs the check (for example, every six hours).
  2. 2An Apify actor counts current open roles for each target account from its careers page.
  3. 3The count is compared to the last stored snapshot for that company.
  4. 4A threshold step flags accounts whose open-req count jumped past your surge rule (absolute or percentage).
  5. 5The current count is written back to the snapshot store for the next comparison.
  6. 6A formatted alert with the company, delta, and new roles posts to the sales Slack channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ApifyActors, scrapers, datasets.
  2. 2
    Connect PostgresAny Postgres URL — query, write, migrate.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

Run this workflow in your colony.

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