Make AI Trades, Days Ahead of Retail
The AI trade has built more accounts and destroyed more accounts than any theme in a decade, and the difference was never analysis. It was arrival time. We read the whole AI conversation, score who is getting bolder and who is quietly backing away, and put that in front of you days ahead of retail. What you do with the head start is your business.
Print Media Is a Lagging Indicator
By the time an AI policy shift, a capital redistribution or a competitive threat reaches print or a regulatory docket, the market has already adjusted. The window for outsized positioning, or for getting out first, has closed. You did not miss it because you were wrong. You missed it because you read it last.
The Window Closes Quietly
Nobody rings a bell when a narrative hardens. The first print is the funeral, not the birth. Every week the gap exists, and every week somebody is on the paying side of it.
Not in Filings. In Conversation
Leading founders, institutional investors and policy architects test their narrative frameworks on tier-one audio properties weeks before any public action. They are rehearsing in a room you can sit in.
Spoken Beats Written
The terminal indexes that conversational ecosystem continuously, capturing structural sentiment shifts, regulatory momentum and competitive vulnerabilities before they harden into public text.
Audio Is Expensive to Read
Text is cheap to scrape, which is why every desk already has it and none of it is edge. Listening to the whole ecosystem, resolving who spoke and weighing how sure they were, is the work almost nobody does.
Mechanics of the Sound Signal
Continuous Capture
Round-the-clock scanning of the verified audio corpus within the hour of release, running a dual-pass alignment protocol to flag tracked entities, leadership names and industry keywords.
Fear and Greed
The system tracks the vocabulary vectors that mark the exact moment a conversation shifts from capital deployment and operational confidence to systemic risk and asset exposure.
Contagion Pressure
It measures the structural acceleration of high-friction legislative phrasing, from compute caps to data-scraping liability to antitrust intervention, across the policy properties.
Proximity Velocity
It tracks how rapidly independent, high-authority voices adopt identical framing, giving you a timeline for when a fringe narrative is about to turn mainstream.
Members Saw This Yesterday
The room state moves daily. The macro brief lands weekly. The archive goes back to the day we started listening, so you can check any claim we have ever made against the timestamp we made it on.
Public read, one session behind members. Members had it 24 hours after it was said.
Take a SeatYou Already Know the AI Trade. You're Just Reading It Late
If your position size depends on whether the room is getting braver or quieter, you are trading a sentiment instrument whether you admit it or not. The only question is whether you are measuring it or guessing at it from headlines that arrived after the move.
Four Instruments, One Screen
Direction and Conviction
Where the whole AI conversation sits today against its own trailing baseline, weighted by how confident each speaker was, not how loudly they said it.
The Vocabulary Turn
The moment language shifts from deployment to exposure. This is the instrument that fires before the price does, and the one that costs you most when you miss it.
Pressure Building
Compute caps, scraping liability, antitrust. Legislative phrasing accelerates in audio long before it lands in a docket you can read.
Time to Mainstream
How fast independent high-authority voices are converging on identical framing, and therefore how long you have before it is consensus and the edge is gone.
Three Ways to Trade Ahead of Retail
Each seat is built for a different way of trading. Pick the one that matches how you actually work.
- Where the whole AI trade moved overnight
- Every operator mention, scored and attributed
- The week's alpha, one macro report
- Alerted the moment the room turns
- The full archive, back to day one
- Everything in Signal
- Screen for the names going quiet before they move
- See which side of the trade the room is taking
- Drill to the operator, export to your model
- Priority alerts, first in the queue
- The alpha feed itself, by API and MCP
- Wired into Claude, ChatGPT or your own stack
- Every topic we cover, one subscription
- Signal exports and webhooks
- Every topic we launch next
The Advisory Desk
Institutional engagement, scoped to your mandate. Same-day delivery, the factor library, bespoke concept commissioning and a firm licence. Bring the names and themes that matter and we will show you the terminal running against them.
Straight Answers
A daily read on where the AI conversation sits, built from every relevant long-form episode published in the last 24 hours, scored and timestamped. Not a newsletter, not a tip sheet. An instrument you check the way you check a chart.
No, and we never will. We publish what was said, who said it, how confident they sounded and when it became knowable. What you do with a twelve-day gap is your business and your risk.
No. It is research and data, not a tradable instrument, not a benchmark and not a recommendation. It measures a conversation, and conversations move markets, but the trade is yours to construct.
Most sentiment products count adjectives in text somebody already published. We weight what was said by how confident the speaker was, who they were, and whether the claim was operational or opinion. A supplier naming a lead time is not an analyst feeling optimistic, and we do not average them together.
News is written for the record. Podcasts are talked for the room. The second one is where people say the number they actually believe, and it is expensive to listen to at scale, which is exactly why the edge survives.
The vocabulary shift from capital deployment and operational confidence toward systemic risk and asset exposure. In plain terms: the week people stop saying "we're scaling this" and start saying "we're watching it closely".
It measures how fast independent high-authority voices converge on identical framing. That convergence rate is your clock: it tells you roughly how long before a fringe view becomes consensus and stops being worth anything.
The full long-form business, technology and policy audio ecosystem, captured within the hour of publication and transcribed in full. Public episodes, published by their creators, indexed the way a search engine indexes a page.
Episodes are captured within the hour and scored the same night. Your seat delivers on a 24-hour clock. Institutional engagements receive same-day delivery.
Never. An ad read is a payment, not an opinion, and counting it would poison every score on the page. We strip them out before anything is measured.
Speaker resolution runs on every episode, and a mention is attributed to a named speaker before it is scored. A claim from a component supplier and a claim from a podcast host are different objects and we treat them that way.
Confidence weighting handles some of it, and contradiction flags handle the rest: when two credible speakers say incompatible things, we surface the contradiction rather than averaging it into mush.
Yes. Every score traces to a verified quote, the show, the speaker and the timestamp. Nothing on the screen is a number you have to take on faith.
Because institutional clients pay for same-day delivery and we are not going to pretend otherwise. Twenty-four hours still puts you days ahead of the coverage cycle, which is the gap that pays.
The competition is not the desk that got it same day. It is the several million people who will read about it next week. Against that clock, 24 hours is nothing.
Same day is institutional and starts at $75,000 a year, because it comes with the factor library, bespoke commissioning and a firm licence. If that is your size, talk to the desk.
You land on today's room state immediately. No onboarding call, no sales process, no waiting for a welcome email.
Any time, from your account. You keep access to the end of the period you have paid for, then you go back to finding out when everyone else does.
No. Timing is the product, and a free tier is just a slower version of the same information, which is what the rest of the internet already gives you.
Yes, on Quant Desk: API and MCP access into your own stack with signal exports and webhooks, on the same 24-hour clock, personal licence, rate limited.
Never. Timestamps are verifiable and returns are marketing. We show you the tape and the print and you can check both against your own data.
Hear the Room Turn Before It's Consensus
The whole AI conversation, measured daily, on a 24-hour clock, from $199 a month.
Take a Seat