The Code Stitcher | Anand Kulkarni from Crowdbotics

You sometimes hear a story from tech startup founders—when they began, they knew little about running a business, and maybe they didn’t even know a lot about technology.

Anand Kulkarni is the other story. As a PhD candidate at UC Berkeley with NSF funding, he worked at the bleeding edge of machine learning technologies. In graduate school, he founded his first startup, which he ran for six years.

He later got the idea for his next startup, Crowdbotics, a company that lets anyone create React Native and Django apps without coding in its basic form.

On this edition of Founders Journey, Anand walks us through his career and shares his perspective on the best way to get funded, his philosophy on building the right team, and some thorough insights on how to approach marketing.

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Anand is CEO of Crowdbotics, a tool for rapid application development. Crowdbotics lets anyone create cross-platform React Native and Django apps in minutes, without coding. Over 20,000 apps have launched on the Crowdbotics platform, including mission-critical healthcare applications, venture-backed software products earning millions in revenue, financial trading engines, learning management platforms, and government tools.

Anand was previously co-founder and Chief Scientist of LeadGenius, a Y Combinator, Sierra Ventures, and Lumia Capital-backed startup using human computation and deep learning to automate account-based marketing (ABM). LeadGenius has raised over $20M in venture funding and developed best-in-class marketing automation technology used by Fortune 500 customers like Google, eBay, and Box. In conjunction with nonprofits like the World Bank, LeadGenius generates fairly-paid digital employment for over 500 individuals in 40 countries.

Anand has been named as one of Forbes Magazine’s “30 under 30” Top 30 Entrepreneurs Under 30. Anand has published over a dozen papers in ACM, AAAI and IEEE magazines, journals, and conferences. Anand previously held a National Science Foundation graduate research fellowship in mathematics. He holds degrees in Industrial Engineering and Operations Research, Mathematics, and Physics from UC Berkeley.




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