About footnoted*

footnoted* is a highly acclaimed information service that uses proprietary search techniques to find both hidden opportunities and early signs of potential problems buried deep in routine SEC filings.

Led by author, reporter, and SEC filings expert Michelle Leder, footnoted* focuses on the actionable details that really matter in the hundreds of thousands of pages that are filed with the SEC day in and day out. Leder and her team of analysts then start to build a mosaic based on multiple filings to provide insight that is typically three to six months ahead of the market.

Our primary product is our Friday Night Dump newsletter, which focuses on SEC filings made after markets close on Fridays.

“There are no accidents in SEC filings. Everything is there for a reason,” says Leder. “But identifying the details that matter is often difficult and time-consuming because so many of the signals are very subtle.”

And that’s where footnoted thrives. Founder Michelle Leder literally wrote the book on SEC disclosure analysis, and our bottom-up approach leverages years of experience.

Leder, who launched the site in 2003, lives in Los Angeles with her husband, Scott, and their son.

Richard Teitelbaum

Richard Teitelbaum is a business journalist and author in NYC. In a career spanning more decades than he wants to admit, Richard has worked as an editor or reporter at the New York Times, the Wall Street Journal, Bloomberg, Institutional Investor and Fortune magazine. At Bloomberg, his investigation into disclosures by the U.S.Treasury Secretary Henry Paulson concerning Fannie Mae and Freddie Mac during the 2008-09 financial crisis triggered Securities and Exchange Commission and Justice Department investigations. As New York Times Investing Editor, Richard spearheaded the paper’s coverage of the dot-com bubble from 1997 to 2000. He is the author of The Most Dangerous Trade (2015, John Wiley &Sons), a book about short sellers.

Amar Kota

Amar Kota is a polyglot technology executive who is hands-on in turning raw data into strategic advantage. He has engineered high‑throughput data pipeline and machine learning platforms for hedge funds, RIAs and more that adhere to strict compliance requirements including PCI and SOC. Prior to this, he spent a decade teaching software analysis and design at the University of California, Irvine. He is a graduate of Carnegie Mellon University and resides in Orange County, CA with his wife and children.

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