CEO and executive interviews from podcasts

CEO and executive interviews from podcasts, as searchable data

Find podcast appearances by a company's executives through speaker title and company, read the timestamped passage, and see what everyone else said about the same company.

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Executives speak on four earnings calls a year and often on podcasts: business shows, industry interviews, founder conversations. Those appearances are where strategy, hiring plans and product bets get explained at length.

Subalytics transcribes new episodes from 250K+ tracked podcasts every day and labels each speaker with a name, role, title and company where it can identify them. That makes CEO and executive interviews findable by company, and it ties each appearance to the wider stream of mentions of that company.

Find appearances by title and company

Speaker fields on every transcript

Identification is automatic and best-effort: any of the four fields can be empty, and names can be filled in after the transcript is first published. The transcript's updated_at changes when they are.

FieldExampleNotes
nameJane HostThe speaker's name
rolehost, co-host, guestTheir part in the conversation
titlechief executive officerJob title, where stated or identifiable
companyExample MediaEmployer, where stated or identifiable

Read the passage

Each transcript is split into timestamped segments with a speaker for each, so you can go straight to the moment an executive talks about prices, a product or a competitor, and cite the show, the date and the second it was said.

Everyone else who talked about the company

An executive's own words are one side. Hosts, guests, analysts and newsletter writers discuss the same company every day. Company mention data puts both in one place, keyed to the same ticker, with daily counts by source.

See company mention data →

Built for research

  • Availability timestamps show when each transcript existed in Subalytics, for backtests without look-ahead.
  • Companies join on ticker and SEC CIK; podcasts, episodes and mentions on stable IDs.
  • Delivered through a documented REST API, with daily sync.
Read the methodology

FAQ

Common questions

No. Speaker identification is automatic and best-effort. Each speaker record shows what could be identified, and any field that couldn't be identified is empty.

There's no fixed list. Any speaker identified with a title and company on a tracked podcast is findable, which includes CEOs, CFOs and other executives of public and private companies.

New episodes are transcribed every day at 05:00 UTC and usually appear within a few hours.

The standard API includes episodes since each podcast was first tracked. Historical data can be provided on request.

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Follow what management says between earnings calls

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