Akhil Mantripragada from Pie
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Akhil Mantripragada from Pie
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Akhil Mantripragada from Pie joins Alex on AI After Dark to trace his journey from coding without a computer in eighth grade India to building a $100M+ revenue AI-native marketing platform for SMBs. He shares how changing seven schools growing up forced him to become adaptable, why he spent hours writing multiple code versions on paper with only one hour per week at a computer lab, and how selling his first ed-tech company to UTSA funded grad school at Columbia. The conversation reveals why Pi's first three hires were designers instead of engineers, his controversial belief that chat is the "lousiest way to interact with AI," and how meeting users where they're at - not where you want them to be - became the core design philosophy that lets three engineers do what used to take thirty. Plus, the framework for building modular systems where perfection lies in the architecture's inputs and outputs, not the code inside the black box.
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Click here to view the episode transcript.
00:00 Growing up moving between seven schools in India
01:39 Learning to code without a computer access
07:13 Starting an events management company as an introvert
12:18 The arrogance and humility combination that drives builders
15:12 First website job at UTSA and learning by doing
18:01 Building quantitative literacy tracking system for professors
24:17 Why school being too easy created entrepreneurial opportunities
26:45 Columbia grad school and starting Edu Link collaboration tool
35:14 The two acquisition experiences and MIT licensing lessons
40:56 Blockchain land registry in India and creator platform experiments
43:35 Why education will become skill-based not credit-based
46:15 Joining Toast's New Ventures program and building benchmarking
56:07 Recruiting A-players through bias for action and ownership
01;02;40 Why Pi hired three designers before the first engineer
01;06;54 Meeting users where they're at versus forcing chat interfaces
01;12;48 The black box modularity philosophy for AI-native startups
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