The Alternative Data Podcast

In this episode I speak to Or Lenchner, the CEO of Bright Data, a web-scraping alternative data provider.As well as being one of the largest web-scraping companies in the world, Bright Data is currently embroiled in a lawsuit with Meta that might shape the future of web-scraping as a business. Or and I discuss the history of Bright Data and the state of play with the court case.Separately for any Japanese listeners, I will be in Tokyo during the week of April 17th and would be delighted to meet any data-related people while I’m there, so please do reach out.DISCLAIMERThis podcast is an edited recording of an interview with Or Lenchner recorded in March 2023. The views and opinions expressed in this interview are those of Or Lenchner and Mark Fleming-Williams and do not necessarily reflect the official policy or position of either CFM or any of its affiliates. The information provided herein is general information only and does not constitute investment or other advice. Any statements regarding market events, future events or other similar statements constitute only subjective views, are based upon expectations or beliefs, involve inherent risks and uncertainties and should therefore not be relied on. Future evidence and actual results could differ materially from those set forth, contemplated by or underlying these statements. In light of these risks and uncertainties, there can be no assurance that these statements are or will prove to be accurate or complete in any way.

In this episode I speak to Francesco Cricchio and Matteo Campellone of BRAIN, the provider of alternative data signals.After successful careers in physics research, Francesco and Matteo decided to join forces to create products to help investors in the markets. If you have a dataset that might be of interest for the podcast, please get in touch. DISCLAIMERThis podcast is an edited recording of an interview with Francesco Cricchio and Matteo Campellone recorded in October 2022. The views and opinions expressed in this interview are those of Francesco Cricchio, Matteo Campellone and Mark Fleming-Williams and do not necessarily reflect the official policy or position of either CFM or any of its affiliates. The information provided herein is general information only and does not constitute investment or other advice. Any statements regarding market events, future events or other similar statements constitute only subjective views, are based upon expectations or beliefs, involve inherent risks and uncertainties and should therefore not be relied on. Future evidence and actual results could differ materially from those set forth, contemplated by or underlying these statements. In light of these risks and uncertainties, there can be no assurance that these statements are or will prove to be accurate or complete in any way.

In this episode I speak to Greg Robin of Random Walk, the provider of retailer coupon and sale data.For several years, Random Walk has been gathering data around the messaging and offers used by major retailers in their sales strategies. This data can be used to compare changes in these strategies, revealing retailer urgency. Greg and I recorded our conversation back in October.If you have a dataset that might be of interest for the podcast, please get in touch. DISCLAIMERThis podcast is an edited recording of an interview with Gregory Robin recorded in October 2022. The views and opinions expressed in this interview are those of Gregory Robin and Mark Fleming-Williams and do not necessarily reflect the official policy or position of either CFM or any of its affiliates. The information provided herein is general information only and does not constitute investment or other advice. Any statements regarding market events, future events or other similar statements constitute only subjective views, are based upon expectations or beliefs, involve inherent risks and uncertainties and should therefore not be relied on. Future evidence and actual results could differ materially from those set forth, contemplated by or underlying these statements. In light of these risks and uncertainties, there can be no assurance that these statements are or will prove to be accurate or complete in any way.