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VCs love to pattern-match. Ivy League? Check. Right networks? Check. But some of the best company builders don't fit that mold, and that's exactly the point.
super{set} co-founder Tom Chavez on why the founders with a chip on their shoulder, relentless clock speed, and the humility to empower others are the ones who build breakout companies.
Forming new companies has changed in 2025. It's about the speed at which you need to get to efficient performance on metrics. Also, it's taking place with much less venture capital than before.
Achieving product market fit (PMF) in the age of AI requires different motions and thinking. There's 5 key aspects. 1. Founder Market Fit, 2. Customer Segment and AI Precision Fit, 3. Pricing Model to Value Fit, 4. Decision Maker and Budget Fit, 5. Core Value and Commoditized Value Fit
Sandeep Bhandari, Former Chief Strategy Officer and Chief Risk Officer at buy now, pay later (BNPL) company Affirm, joins Vivek Vaidya, Founding General Partner of super{set}, in conversation.
Every company we build solves a market problem through transformational data+AI solutions. super{set} is a startup studio where great data+AI ideas become transformational software companies. With our people-first performance culture and company-building playbooks, we found, fund, and scale high-potential businesses.
super{set} is a startup studio where great data+AI ideas become transformational software companies. With our people-first performance culture and company-building playbooks, we found, fund, and scale high-potential businesses.
At super{set}, we form data-driven startups from scratch. Every company we start is within our data+AI speciality and works with generating, capturing, pipelining, orchestrating, analyzing, or activating data. Learn what data-driven software companies are in this video.
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