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Chander Chawla / Arne Tonning

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Chander Chawla, a Silicon Valley entrepreneur and Arne Tonning, a Norwegian Venture Capitalist, discuss global perspectives on startup business, technology, and culture. The views on the podcast are solely personal and not of our employers or of the organizations we belong to.
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Send us a text We segment the Metaverse into three categories: 1. Metaverse that requires new hardware to be worn by users (VR headsets, AR glasses, etc.) 2. Metaverse that does not require new hardware but requires crypto (NFTs, wallets, etc.) 3. Metaverse that neither requires new hardware nor crypto We apply Rogers innovation adoption model to e…
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Send us a text We discuss: 1. The traditional Venture Capital (VC) business model 2. Why the VC is changing and what changes Sequoia is making 3. Implications for entrepreneurs and for the business of managing money Useful links Sequoia announcementDoor Chander Chawla / Arne Tonning
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Send us a text We are excited to have Mike Polacek as a guest of honor on this episode. Mike is one of the few business leaders who has run large tech businesses and has been a professional investor in public companies. We dig deeper into the how building semiconductor business is different than building a SaaS business, complexity, Moore's law, an…
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Send us a text We discuss the emergence of new companies like Affirm, Afterpay, Klarna which are popularizing the idea of Point of Sale financing i.e. when you are buying something you can choose to pay later. We tried to have structured conversation today:) What is BNPL History of BNPL Why is it happening now How does it work Who are the players F…
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Send us a text In our season 2 finale, we review the 2020 trends we had identified in Season 1 finale. See the trends here. You can find the Morgan Stanley report on Private Equity here. We will be back on January 14th, 2021 on biweekly basis. Happy Holidays and Happy New Year!Door Chander Chawla / Arne Tonning
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Send us a text We have a guest on the podcast this week, David Krieger, who is back with us after a year. David and I discuss fundamentals of embedded systems and his experience in designing them. Useful links: 1. David Krieger on LinkedIn 2. Embedded SystemsDoor Chander Chawla / Arne Tonning
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Send us a text This week, we are delighted to have a guest on the podcast, Joanna Jones, Founder & CEO of InterQ Research. Joanna and Chander discuss User Research and why the qualitative methods are necessary to complement quantitative methods. Useful links: 1. Joanna's LinkedIn profile 2. InterQ Research…
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Send us a text We discuss how the US elections have caused the tech stocks to go up. We get deeper into California Prop 22 (a ballot measure by ridesharing and food delivery companies to change the law about classifying their drivers as employees and stopping them from forming a union). Useful links: 1. Prop 22 2. Direct Democracy…
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Send us a text We discuss the unique nature of Ant Group IPO which is going to be the world's largest IPO ever. Ant Group which has 700M+ users is raising >$34B in the IPO at a valuation of >$300B. Ant Group is a spinoff of Alibaba and has a special relationship with the Chinese government. Useful Links: 1. Ant Group 2. Ant Group IPO filing documen…
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Send us a text This week, Depart of Justice (DOJ) and 11 State Attorney Generals in the US filed an antitrust lawsuit against Google. We discuss the intricacies and history of these type of lawsuits. Useful Links: 1. DOJ Workshop at Stanford 2. DOJ Google Lawsuit press releaseDoor Chander Chawla / Arne Tonning
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Send us a text We experiment with a shorter episode ( < 30 minutes). Spotify co-founder, Daniel Ek, made an announcement last week that he will invest ~$1.2B in deep tech in Europe. This prompted us to discuss what deep tech investing is and how it is different between the US and Europe. Useful links: 1. Daniel Ek announcement at Slush…
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Send us a text How we develop products continues to evolve as new technologies get commercialized. Products that work with Machine Learning (ML) models require a new way of thinking to launch and improve products. The agile/lean approach does not work with ML. We discuss how product managers will have to develop products differently with ML.…
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