LEAD GENERATION
Infer Tech Stack from Job Posts to Route Product-Fit Accounts
Reads new job descriptions to infer a company's tech stack, researches them with Perplexity for confirmation.
How it runs
The automated pipeline, trigger to output.
- TriggerNew ICP job posting detected
- ActionExtract tech stack from postingOpenAI
- ActionConfirm stack via live researchPerplexity
- LogicScore product fit, drop misses
- OutputAdd fit accounts to Notion boardNotion
What it does
Job descriptions leak a company's tech stack in their requirements lists. This workflow mines that, confirms it with live research, and forwards only the accounts whose stack signals a genuine fit for your product, complete with a written rationale, into a Notion board your team works from.
When to use it
Use it when fit is technical, not just firmographic, for example, you sell to teams already on a specific cloud, database, or framework. It filters the noisy hiring firehose down to accounts your product can actually displace into or complement.
How it works
- 1A new ICP job posting from the harvester triggers the run.
- 2OpenAI extracts the implied tech stack and tools from the posting's requirements.
- 3Perplexity does a live lookup to confirm the stack and surface recent context on the company.
- 4A logic step scores product fit against your criteria and drops accounts below the bar.
- 5Qualifying accounts are added to a Notion target board with stack tags, a fit score, and the rationale.
Set it up
What you configure once, before turning it on.
- 1Connect OpenAIModels, embeddings, files.
- 2Connect PerplexitySearch-grounded answers with citations.
- 3Connect NotionPages, databases, comments.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.

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