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B2B SaaS founders: how do you build a product that survives the next major AI capability update? Every few months, a new model release absorbs a feature your team spent months building. What's your framework for staying relevant when the capability floor keeps rising? What do you wish you'd built differently?
When AI can do in seconds what your product did in minutes, where does your real value live? Walk me through a specific decision you made to keep a core feature from being commoditized.
Have you ever had a feature made obsolete by a model update? What happened, how fast, and did it change how you build?
Do you roadmap around what models can do today or what they'll do in 18 months? How do you make product decisions when the ground keeps shifting?
Are AI wrappers dead? Some founders say gone in two years. Others say the framing misses the point entirely. Where do you land and why?
If a premium feature becomes the baseline overnight, how do you reprice?
Deadline: Apr 15th, 2026 07:00 AM (May close early)
Publisher:
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Zhanna Hamilton (Substack)
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