MARKET RESEARCH

Competitor Tech-Stack Change Radar

Mines competitor engineering job posts for named technologies, diffs the extracted stack against the last known one.

CategoryMarket Research
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule fires
  • ActionScrape competitor engineering rolesApify
  • LogicExtract technologies and diff against stored stack
  • ActionUpdate stack profile and changelog in CodaCodaCoda
  • OutputNotify eng-intel channel on stack changesSlack

What it does

Engineering job posts leak a company's technology roadmap. This workflow extracts every named tool, language, framework, cloud, and database from competitor eng postings, maintains a per-company stack profile, and alerts you when something new appears or an old staple disappears, so a migration or platform bet becomes visible months early.

When to use it

Reach for it when you sell into or compete with engineering-heavy companies and stack direction is a real signal, for example to catch a move to a rival database, a shift to a new cloud, or adoption of a category you also play in.

How it works

  1. 1A daily schedule starts the run.
  2. 2Apify scrapes engineering and infrastructure roles from each tracked competitor.
  3. 3An extraction step pulls named technologies from every description and rolls them into a current stack set per company.
  4. 4A logic step diffs that set against the stored profile in Coda to find additions and removals.
  5. 5The Coda stack profile is updated with the new state and a dated changelog entry.
  6. 6Any added or dropped technology of interest fires a Slack note to the engineering-intel channel.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ApifyActors, scrapers, datasets.
  2. 2
    Connect CodaDocs, packs, automations.
  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.

Run this workflow in your colony.

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