MARKET RESEARCH

Earnings Guidance-Change to Linear Action Items

On a schedule, scrapes a competitor's latest earnings call, detects changes to forward guidance or strategic commitments.

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled post-earnings run
  • ActionFind + scrape transcript (Perplexity, Firecrawl)Firecrawl
  • ActionExtract guidance/commitment changes + quotes (OpenAI)OpenAI
  • LogicKeep only material changes
  • OutputOpen Linear issues with quoted evidenceLinearLinear

What it does

Converts a rival's earnings signals into tracked work. It scrapes the latest call, isolates changes in forward guidance and strategic commitments (raised/cut targets, new bets, abandoned initiatives), and for each material change opens a Linear issue with the quoted evidence and a suggested response owner, so competitive intelligence actually drives action instead of dying in a doc.

When to use it

Use it when your team needs to *do something* in response to competitor moves: re-price, accelerate a roadmap item, or brief leadership. Best for product and strategy orgs that already run in Linear and want competitive triggers to land in the same queue as their other work.

How it works

  1. 1A schedule fires after the competitor's call posts.
  2. 2Perplexity finds the latest transcript URL and Firecrawl scrapes it to text.
  3. 3OpenAI extracts guidance and commitment changes, each with a verbatim quote and suggested internal response.
  4. 4A logic step keeps only changes above a materiality threshold.
  5. 5For each surviving item, a Linear issue is created with the quote, context, and proposed owner.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect PerplexitySearch-grounded answers with citations.
  2. 2
    Connect FirecrawlCrawl, scrape, structured extract.
  3. 3
    Connect OpenAIModels, embeddings, files.
  4. 4
    Connect LinearIssues, projects, cycles, triage.
  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.

14-day trial. No DevOps. No Sales call. Provisioned in under a minute.