MARKET RESEARCH

Leadership Hire Early Warning

Detects when competitors post senior or executive-level roles, enriches each with an LLM read on what the hire signals.

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggerschedule
Steps7
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule
  • ActionScrape competitor postingsApify
  • LogicKeep only senior and executive titles
  • ActionDrop already-seen leadership roles via AirtableAirtableAirtable
  • ActionInfer what the hire signals with LLMOpenAI
  • ActionLog role and analysis to AirtableAirtableAirtable
  • OutputPost high-priority alert to TeamsMicrosoft Teams

What it does

It surfaces the highest-signal postings: VP, C-suite, GM, and Head-of roles. A competitor opening a 'VP of Product, AI' or a 'GM, Enterprise' is broadcasting a strategic priority, and a leadership opening often precedes a reorg, a new business line, or a funding event.

When to use it

Use this when you want to track competitors' org-building rather than line hiring. Executives and strategy teams rely on it to catch leadership moves that reshape a rival's direction, with far less noise than full-postings monitoring.

How it works

  1. 1A daily schedule trigger starts the scan.
  2. 2Apify scrapes competitor postings.
  3. 3A filter keeps only senior and executive titles based on seniority keywords and level.
  4. 4A check against Airtable drops leadership roles already seen so each is alerted once.
  5. 5OpenAI writes a short read on what each leadership hire likely signals about the company's plans.
  6. 6The role and its analysis are logged to Airtable.
  7. 7A high-priority alert posts to your Microsoft Teams strategy channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ApifyActors, scrapers, datasets.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect AirtableBases, tables, views, automations.
  4. 4
    Connect Microsoft TeamsChannels, chats, files.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    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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