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PodData

Competitive intelligence for strategy and investment teams.

Track what AI leaders say off-script. You get their exact words, the speaker named, the show and the second.

Tracker

AI lab leaders on memory and compute

What we understood
People · AI lab leadersTopic · memoryTopic · compute Only when they’re speaking
How you’ll hear
Each quote by email Slack
until right now, I don’t think making memory has ever been a great business over a long period of time.
Sam Altman Co-founder & CEO, OpenAI Cheeky Pint · Oct 29, 2026
27:56 Speaker confirmed
Hear it
Leaders we’ve quoted, word for word
See everyone we follow
  • Sam AltmanOpenAI
  • Marc AndreessenAndreessen Horowitz
  • Boris ChernyAnthropic
  • Elon MuskSpaceX & Tesla
  • Sundar PichaiGoogle & Alphabet
  • Aravind SrinivasPerplexity
  • Demis HassabisGoogle DeepMind
  • Satya NadellaMicrosoft
  • Evan SpiegelSnap
  • Amjad MasadReplit
  • Andrej KarpathyAnthropic
  • Alexandr WangMeta
  • Chamath PalihapitiyaSocial Capital
  • Dario AmodeiAnthropic
  • Marc BenioffSalesforce

Alerts for your team. Data for your tools.

Trackers send your team each new quote that fits. The API puts the same quotes in your own products.

Trackers, for strategy and investment teams

Know when they say it

Write one sentence about who and what you need to hear. Get each new quote that fits, with the speaker and the second.

  • Only quotes whose speaker is confirmed, unless you ask for both
  • Each quote by email, a daily digest or Slack
  • Free for one tracker, with a daily digest
Tracker ideas
Data API and MCP, for research teams and builders

The data layer for what AI leaders say

Quotes with a named speaker and a second, into the tools and models you already run. By REST API, webhook or MCP.

  • 50,000 quotes a month, each with a page to cite
  • 100 trackers, delivered to email, Slack or your webhook
  • $499 a month, or $4,999 a year
Read the API

Both are open by request. Nothing can be bought yet. Prices in US dollars, as of Nov 13, 2026. All plans.

Quotes you can use as soon as they arrive

Most monitoring tools catch a leader’s name. PodData catches their words, checks them and names who said them.

Compared with keyword monitoring

Alerts when they speak, not when they’re named

Most tools alert you whenever a name comes up. A tracker sends a quote only when that person is the one talking.

See if we follow your people before you start

The people and shows we follow are listed by name, so you can check first.

Quote it without re-listening

Each quote is checked word for word, with a link that plays it from the second it starts.

Set it up in one sentence

A tracker matches by meaning, from one sentence, not by keywords and Boolean rules. By request.

Sample trackers

What these trackers would have caught

Real sentences, and real quotes from shows we follow. The words that matched are highlighted.

See more tracker ideas
For strategy and CI teams

AMD leaders on how they position against rivals

Company · AMDPeople · chip CEOsTopic · competitive positioning
we fundamentally believe that there is no one size fits all. Like, the world is a heterogeneous world.
Lisa Su Chair & CEO, AMD TBPN · Jul 23, 2026
1:41:36 Speaker confirmed
For investors

Big Tech CEOs on what AI spending depends on

People · tech CEOsTopic · AI spendingTopic · economic growth
And if that is going to be true, then the question is, what is the world GDP growth rate?
Satya Nadella Chairman & CEO, Microsoft 20VC · Oct 26, 2026
17:18 Speaker confirmed
For comms teams

Amazon executives on cloud pricing and capacity

Company · AmazonTopic · cloud pricingTopic · capacity
We’re not going to squeeze our customers, and we’re going to make sure that they can scale.
Andy Jassy President & CEO, Amazon a16z Podcast · Oct 23, 2026
26:39 Speaker confirmed
For agencies

Anything Sundar Pichai says about AI and productivity

Person · Sundar PichaiTopic · productivity
I think if in some ways I view 2027 as a golden age of that productivity frontier for us
Sundar Pichai CEO, Google & Alphabet Sources · Oct 21, 2026
9:59 Speaker confirmed
How a tracker works

Write one sentence. We do the listening.

  1. Say itOne sentence about a person, a topic, or both.
  2. Check what we understoodThe people and topics we’ll listen for, each one editable.
  3. See what it would have caughtReal quotes from the last 90 days, before you save.
  4. Choose how to hearEach quote by email as it’s said, a daily digest, Slack, a webhook or the API.
New tracker · example
What we understood
People · tech CEOs Topic · AI spending Topic · economic growth Only when they’re speaking
How you’ll hear
Each quote by email Slack
Who it’s for

For teams who get asked “did you see what they said?”

Strategy, investment and comms teams use trackers to hear it first and quote it right.

Comms, policy, strategy and CI teams

Tech and AI companies

Know when your executives, your rivals’ leaders and the people shaping AI policy speak. You get their exact words, not every mention of their names.

A tracker you might write

Our CEO, or any competitor’s CEO, on pricing

VC, growth and crossover funds

AI investors

What the founders and executives building AI say between rounds and earnings calls. Sent as it’s said, with the speaker and the second.

A tracker you might write

Founders in our portfolio, and their rivals, on revenue and compute

Comms, PR and public-affairs firms

Comms and PR agencies

A tracker for each client and its rivals. Know when their executives speak on a long interview, in their exact words, with the speaker and the second.

A tracker you might write

Our client’s CEO and its three biggest rivals, on AI

How we name speakers

We’d rather say “unsure” than name the wrong person

A quote pinned on the wrong person is worse than none. So each one says whether we’re sure who said it.

How we name speakers, in full
We found it’s better to teach the model some basic principles like what it should prioritize, how it should reason about what the right thing to do is.
Dario Amodei Co-founder & CEO, Anthropic The Builders with Walter Isaacson · Oct 27, 2026
9:16 Speaker confirmed

When we name someone

The show’s own transcript names them

When the show publishes who spoke, we take its word.

Or two kinds of evidence agree

The host asking the questions, or a guest named in the episode’s title or description. Someone saying “I’m…”, or someone else saying their name. None may disagree.

When we can’t

Speaker unconfirmed

What a quote says when we heard it in the episode but couldn’t tell for sure who said it. We show a name only beside “Speaker confirmed”.

Held back unless you ask

Trackers send only quotes whose speaker is confirmed, unless you ask for the unconfirmed ones too.

What we never keep

No voice prints

We name people from what is said and written about an episode, never from a stored voice.

Nothing about a voice

Nothing about a voice is kept once an episode is processed.

Coverage

Check your list against ours

Mostly long interviews and podcasts with the people building AI, plus markets, news, sports and science.

See who we follow

Today

The shows and people, by name

Each one is listed on the coverage page, so you can check your list first.

Checked quotes

Each checked word for word against the transcript, with the speaker, the show, the date and the second.

Where the audio comes from

A show’s own podcast feed comes first. A talk or interview with no feed may come from its public video on YouTube.

By request

Trackers

A sentence, or a person and a topic. Each quote by email or a daily digest. “Not this” to teach them.

Every new episode transcribed

With each speaker named or marked unconfirmed.

The API, webhooks, Slack and MCP

The REST API, webhooks, Slack delivery and an MCP endpoint.

Team workspaces

A shared workspace with seats for the team.

Nobody can sign up on their own yet. Request a demo to use what’s by request.

What people ask us

All questions
What can I use today?

PodData is open by request. Each quote we hold is checked word for word against the transcript. Trackers, the API, webhooks, Slack delivery, the MCP endpoint and team workspaces are open to pilot teams, by request. Nobody can sign up on their own yet.

How do I get a demo?

Ask with the form. Tell us who you need to hear and what about. We read every request, reply by email, and can set your team up in the pilot.

Request a demo
What will it cost?

Free is $0. The Data API is $499 a month or $4,999 a year. Enterprise is by annual contract. Prices are as of Nov 13, 2026. Nothing can be bought yet.

What’s in each plan
Which shows do you follow?

Mostly long interviews and podcasts with the people building AI, plus markets, news, sports and science. The coverage page lists every one by name.

See every show
Where does the audio come from?

From a show’s own podcast feed first. Where a talk or interview has no feed, we may use the audio of its public video on YouTube. We hold no quotes yet from Product Growth and Conversations with Tyler, which have no feed we read. Every quote links to the show’s own recording at its second.

Tell us who you need to hear.

Write it in one sentence. We’ll show you what PodData would have caught, and set you up in the pilot.

Request a demo

Request a demo

Tell us who you need to hear and what about. We’ll reply by email to set up a demo.

Nothing can be bought yet. Pick the plan you’d want.
One sentence is enough. Name a person, a topic, or both.

We keep what you send to answer it, as our privacy policy says. Or write to hello@poddata.ai.