MARKET RESEARCH

Hiring Surge Detector with Slack Alert

Detects when a target account's open-role count jumps above its recent baseline and posts a ranked Slack alert to the GTM channel so reps can act on a company that is clearly…

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggerschedule
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule fires
  • ActionScrape current open-role counts with ApifyApify
  • ActionRead trailing baseline from PostgresPostgreSQLPostgres
  • LogicKeep only accounts above surge threshold
  • ActionBuild ranked surge summary
  • OutputPost surge alert to GTM Slack channelSlack

What it does

Watches the volume of open roles per account and flags surges. When a company's active postings rise meaningfully versus its trailing average, it computes the percentage jump, summarizes which departments are growing, and pushes a prioritized alert to Slack so sellers reach out while the buying signal is hot.

When to use it

Use it when raw posting logs are too noisy and you only want the moments that matter: a company going from 3 to 18 openings, or a sudden engineering ramp. Best for teams who already log postings (via the watchlist workflow) and want momentum detection on top.

How it works

  1. 1A daily schedule fires the run.
  2. 2Apify scrapes current open-role counts for each watchlist account.
  3. 3Compare each account's current count to its trailing 30-day baseline stored in Postgres.
  4. 4Branch: only continue for accounts exceeding the surge threshold.
  5. 5Build a ranked summary with department breakdown and percent change.
  6. 6Post the alert to the GTM 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.

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