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Philip Kaplan, also known by his online moniker 'Pud', is a highly influential American entrepreneur and computer programmer with a prolific career spanning over two decades. He is best known as the founder and CEO of DistroKid, one of the world's largest independent music distribution services. Kaplan first gained widespread recognition during the dot-com bubble for creating FuckedCompany.com, a satirical website that chronicled the downfall of internet startups. His entrepreneurial ventures also include founding AdBrite, one of the largest independent ad exchanges, and creating TinyLetter, a simple newsletter service that was later acquired by Mailchimp. Kaplan is recognized for his knack for identifying market gaps and building user-centric products that disrupt established industries.
Philip Kaplan's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Founded DistroKid in 2013, revolutionizing music distribution for independent artists by offering unlimited song uploads to major streaming services for a flat annual fee. It has since become a dominant player in the industry, empowering millions of musicians worldwide.
Launched the highly influential and controversial website FuckedCompany.com in 2000. The site became a cultural touchstone of the dot-com era, serving as a 'dot-com dead pool' that documented the spectacular failures of internet startups.
Created TinyLetter in 2010, a minimalist and user-friendly email newsletter service. Its simplicity attracted a loyal following of writers and creators, leading to its acquisition by Mailchimp in 2011 and influencing the personal newsletter trend.
Founded the online ad network AdBrite in 2004 as a major competitor to Google AdSense. He successfully grew it into one of the largest independent ad exchanges on the internet before his departure.
Syracuse University
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Negative Audio is an AI research company focused on developing advanced speech synthesis technology. Their primary goal is to create highly realistic, expressive, and controllable text-to-speech (TTS) models that eliminate the robotic artifacts commonly associated with synthetic voices. By focusing on the 'negative' or unwanted sounds, they aim to produce audio that is indistinguishable from human speech, catering to applications in media, entertainment, and creative industries.
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