In this episode of Selling Signals, we’re joined by Stuart Reid, CEO of Nosible. A computer scientist and former quant, Stuart has priced complex derivatives, experimented with deep learning for market prediction, and now leads a team building infrastructure for financial institutions to search and monitor the web in real time.

At Nosible, Stuart and his team index tens of millions of webpages every day, structuring and verifying web content so it can be used by investment funds, asset managers, banks and insurers. Their focus on point-in-time integrity and traceability makes them akin to the “point-in-time police” of the internet.

We discuss what data vendors often misunderstand when selling to systematic investors, why Nosible is building a web-scale search engine for funds, and how AI is changing the structure of the web itself. As more content is created, copied and remixed at scale, verification may matter more than volume.

This episode is essential listening for anyone building web-derived alternative data, selling to quants or thinking seriously about the future of information in financial markets.

In this episode of Selling Signals, we’re joined by Marko Matejcic, who has spent more than a decade building and commercialising data products across the advertising and marketing ecosystem. Marko has worked across identity, privacy, measurement, modelling and activation, giving him a practical view of how alternative data is actually used in media.

We discuss how media buyers evaluate alternative data, how planning, activation, and measurement differ from investment workflows, and why attribution is such a difficult problem to solve. Marko explains where alternative data vendors often struggle when moving from hedge funds into media and what needs to change for data to be adopted and licensed by agencies and brands.

This episode is essential listening for anyone selling or building alternative data who wants to understand how a very different data buying world operates.

In this episode of Selling Signals, we’re joined by Ed Lavery, who previously built and scaled investor data sales businesses at Similarweb and Placer.ai. Ed draws on his experience commercialising complex behavioural datasets to hedge funds, asset managers, and corporate buyers, offering a rare perspective on how data products succeed across different markets.

We discuss how alternative data vendors can identify genuine “white spaces” in the investment ecosystem, why selling data to corporates often requires a fundamentally different strategy than selling to funds, and how investment approaches have evolved beyond simply “calling the quarter.” Ed brings a thoughtful, highly practical view on what it takes to turn complex datasets into repeatable revenue.

This episode is essential listening for anyone navigating data monetisation across financial services and corporate markets.