INFORMAZIONI SU QUESTO EPISODIO
This Predictable Revenue Podcast episode, featuring our host Collin Stewart, explores biotech innovation, product-market fit, and navigating the complexities of drug development with co-founder Punit from ALP AI. Discover how machine learning and immune system testing are transforming pharmaceutical research.
Highlights include: Transitioning from Academia to Industry (07:38), Validating the Business Idea (11:27), Pricing Strategies and Customer Acquisition (20:26), Leveraging Technology for Market Entry (26:29), and more...
Stay updated with our podcast and the latest insights on Outbound Sales and Go-to-Market Strategies!
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ALTRI EPISODI IN QUESTO PODCAST
Most conversations about product-market fit stay abstract. This one didn't.
In this episode of the Predictable Revenue podcast, host Collin Stewart sat down with Olga Voigt, co-founder of Zibble AI, to break down what it actually takes to build and sell a product in today's market, especially in A…
On the Predictable Revenue Podcast, Collin Stewart sat down with Gavin McNamara to unpack his product-market fit journey.
It didn't start with a clear idea or a validated market. It started with messy consulting work, a personal problem, and a series of small signals that only made sense in hindsi…
On the Predictable Revenue Podcast, Collin Stewart sat down with Gianluca Ferremi, CEO and Co-founder of WisePath, to unpack a deceptively simple question: why do so many hires fail?
Gianluca's answer challenges the default narrative. Nearly half of new hires don't work out, and most failures hav…
On this episode of the Predictable Revenue Podcast, Collin Stewart sits down with Sridhar Uyyala from TensorLinks to walk through what finding product-market fit actually looks like in the wild: messy, slow, and full of false starts.
This conversation breaks down that journey, not to retell it, bu…
Dichiarazione di non responsabilità: Il podcast e la grafica incorporati in questa pagina provengono da Collin Stewart, che è di proprietà del suo proprietario e non è affiliato o approvato da Listen Notes, Inc.
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