LEAD GENERATION

Tech-Stack Job Parser to Outreach Queue

Parses the requirements section of incoming job postings to extract the named tech stack, matches it against your competitor and complement lists.

CategoryLead Generation
Enginesim
Difficultyintermediate
Triggerwebhook
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWebhook receives new postingHTTP webhook
  • ActionExtract tech stack from requirementsOpenAI
  • LogicMatch stack to competitor/complement lists
  • LogicDrop postings with no stack match
  • ActionDraft personalized first-touch emailOpenAI
  • OutputCreate draft in GmailGmailGmail

What it does

Job descriptions list the exact tools a team uses. This workflow reads the requirements of each new posting, extracts the named stack, and classifies the account as a competitor-displacement target or a complement-integration target. It then drafts a first-touch email referencing the specific tool and role, leaving it as a Gmail draft for the rep to review and send.

When to use it

Use it when your messaging hinges on what an account already runs, for example a 'we replace X' or 'we plug into Y' motion. The extracted stack makes outreach specific instead of generic.

How it works

  1. 1A webhook receives newly discovered postings from your collector.
  2. 2An OpenAI step extracts the named tech stack and the role context from the description.
  3. 3A logic step matches the stack against your competitor and complement lists and tags the play type.
  4. 4A second logic gate drops postings with no relevant stack match.
  5. 5An OpenAI step drafts a personalized first-touch email for the matched play.
  6. 6The draft is created in Gmail for rep review.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect HTTP webhookTrigger any URL on agent actions.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect GmailRead, draft, send, label.
  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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