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Peter Day shares info on super{set} Signal for new company formations. Why it's different and unique
Starting a business is lonely.
Even when you think you know something the rest of the world doesn't.
Peter Day, General Partner at super{set}, breaks down what super{set} Signal is and why validation takes three months, not three weeks.
"You've got to spend time standing in your customer's pain. Not theorizing. Standing in it."
That's the work most founders skip. They build what they think people need instead of what people are actually struggling with.
Signal gives you three months to figure out: Is this a problem worth solving? Is this a business worth building?
Do you have an idea worth sharing?
Watch Peter explain what happens inside Signal and who it's for
Ketch’s VP of Product, Sam Alexander, shares how integrating AI coding into their workflow has transformed product delivery. Faster development cycles mean customer requests turn into shipped features sooner, helping Ketch stay competitive and innovate in the fast-moving data-privacy landscape.
Leaders from Headlamp Health explain how their platform brings precision medicine into the mental-health space. By unifying psychological data, biological signals, and patient-reported insights, their team is tackling one of healthcare’s most complex challenges. With a global footprint and deep collaboration across clinicians, pharma, and practitioners, Headlamp moves quickly — always grounded in listening to the people they serve.
Checksum’s Gal Vered and Abigail Aragon share how their platform is helping engineering teams ship cleaner, more reliable code at scale. As they look toward 2026, they highlight strong customer adoption, rapid growth, and the impact of continuous AI-driven testing — especially as more organizations embrace AI-generated code. Their focus: raising the quality bar while keeping developers fast and confident.
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.
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