Podcast Intelligence For Traders

They Say It Out Loud. Nobody Writes It Down

A filing is written by lawyers. A press release is written by communications. An hour of podcast audio is written by nobody, which is why the operator names the lead time, the price rise and the customer they just lost. Tell us what you need pulled out of it and we will build the pipeline that pulls it.

412,000
Hours in the corpus
Zero
PR filters
Yours
Parameters, not ours
Why This Exists

Everyone Scrapes The Same Text. That Is Why It Is Worthless

Text is cheap to scrape, so every desk already has it, which is precisely why none of it is edge. Audio is expensive to read at scale: someone has to listen to everything, work out who is speaking, throw away the sponsor reads and score what is left. Almost nobody does that. We built the machine that does.

Generic scrapers hand you a firehose of common words and call it a data product. You spend a week filtering it and find nothing, because nothing was there.

A keyword scraper returnsEvery mention of "supply chain"
You actually wantedThat phrase, from a named operator, within 150 words of their own lead times
A news alert tells youA competitor had an outage
You actually wantedTheir engineers sounding uneasy, three weeks earlier
A transcript archive gives youWords, including the adverts
You actually wantedSponsor reads stripped, speakers resolved, conviction scored
What You Can Ask For

You Set The Parameters. The Engine Does The Listening

Three of the requests we build most often. If yours is not here, it probably still fits: the constraint is your thesis, not our schema.

Proximity Rules

Only When The Right Person Says It

A keyword on its own is noise. A keyword spoken by a named technical founder, inside the same breath as a number, is a data point. Define who has to be speaking and how close the terms must sit.

"Capacity constraint" within 150 words of a named CTO, on shows under 20k listeners
Competitor Watch

Hear The Crack Before The Press Release

Product weakness surfaces in engineering podcasts long before it reaches a mainstream feed, because the people describing it do not think anyone important is listening.

Developer sentiment drops across niche engineering shows, weekly, by named vendor
Into Your Stack

Delivered Where You Already Work

An intelligence product you have to log into is one you will stop reading. Anomalies and volatility markers land in your Slack, your CRM or your Monday partner brief.

Webhook on threshold breach, plus a Monday 07:00 digest to a Slack channel
How It Runs

Four Steps. Then It Runs Without You

01

You Define It

Names, phrases, speakers, proximity, shows, thresholds. Bring a thesis; we will turn it into parameters.

02

We Extract History

The full back catalogue is queried first, so you see whether the signal was ever there before you pay to watch it.

03

We Watch Live

Every new episode is scored against your parameters within the hour of publication.

04

It Lands Where You Work

API, webhook, Slack or a scheduled brief. Alerts fire on your thresholds, not on our idea of interesting.

Start Here

Tell Us What You Are Trying To Find Out

Bring the question, not the specification. The most useful first message is usually one sentence about the position you are trying to protect or the edge you are trying to find, and we will tell you honestly whether the corpus can answer it.

If it cannot, we will say so. A data vendor that never says no is a data vendor selling you noise.

Scoped in one callHistorical proof firstFirm licence
Data Request

Describe The Pipeline

Please enter your first name.
Please enter your last name.
Please enter a valid work email.
Please enter your firm.
Please tell us what you are trying to find out.

Goes straight to the desk that builds these, not to a sales queue. We reply with what is possible and what is not.

Lagging Indicators Are Everyone Else's Problem

By the time a shift is written down, the move is finished and someone else took it. Bring us the question you cannot answer from text.