Twin treats Techcrunch as part of a larger workflow, not as an isolated connector. An agent can read the relevant records, combine them with context from other tools, decide what needs to happen next, and report the finished work back to the team.
The page below shows the practical automation patterns for Techcrunch: what the agent can monitor, which actions it can take, and how the workflow stays observable when it runs on a schedule.
Common starting points include sales prospecting from funding news, enrich leads with techcrunch coverage, competitive research via techcrunch. Each example is designed to become a reusable agent, so teams can start from a narrow job and expand it as the process matures.
Twin is most useful when techCrunch does not expose a public API for article data. Twin reads the browser-visible pages directly, so agents can pull headlines, dates, links, and article content without requiring API credentials or workarounds.