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This session showcases a super{set}’s portfolio company that was built from scratch. It started with an idea from co-founder, Gal Vered who spent time managing product at Google and then as CTO with a startup. Gal learned first-hand how hard it is to maintain software quality so he built Checksum.ai for continuous, autonomous software testing.
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.
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.
How is community created across the super{set} "hive" of companies? How do we work together to solve tough problems in company-building - and have fun doing it?
At super{set}, every company comes out of our startup studio - and every company begins by inheriting the same set of cultural values that help define what we do at super{set}. Learn about our cultural values in this video.
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