Yan-David (Yanda) Erlich: Inside The Billion Startup Building The Best Machine Learning Tools Billion Startup Building The Best Machine Learning Tools" loading="eager" /> Yanda Erlich has now cofounder four venture backed startups. He’s been an angel investor, and a partner at a venture capital firm. Now he’s going at it again with a company that provides the best development tools for creating the next generation of software. His startup, Weights & Biases, has attracted funding from top-tier investors like NVIDIA, Insight Partners, Felicis Ventures, and Coatue. Podcast: Play in new window | DownloadSubscribe: Apple Podcasts | Spotify | TuneIn | RSS | More Yan-David (Yanda) Erlich has now cofounded four venture-backed startups. He’s been an angel investor, and a partner at a venture capital firm. Now he’s going at it again with a company that provides the best development tools for creating the next generation of software. His startup, Weights & Biases, has attracted funding from top-tier investors like NVIDIA, Insight Partners, Felicis Ventures, and Coatue. In this episode, you will learn: What Weights & Biases does What investors look for in great startup investments Yanda Elrich’s top advice for other entrepreneurs Optimizing for regret SUBSCRIBE ON: Continue reading the full guide Related guidesThis Entrepreneur Raised $54 Million To Inject AI And A Network Of Experts Into The Recruitment ProcessNick Cromydas On Raising $54 Million To Inject AI And A Network Of Experts Into The Recruitment ProcessHow Agrolend Raised $43M For Its Fintech Bank For Brazilian FarmersHow Agrolend Raised $43M for Brazil's FarmersThis Billion-Dollar Entrepreneur Is Shaping The Future Of Blockchains And Privacy With $81 Million Series ARajiv Khemani: The Billion-Dollar Entrepreneur Shaping The Future Of Blockchains And Privacy With $81 Million Series A Read on Startup Fundraising · More articles · Browse the Library Library homeFull library indexArticlesHomeInvestor directoryFounder directoryCompany funding databaseResearch hubPricing
