NA Maker Conversations and NA Beer Tasting

Zero Proof Collective's ZPC Connect meeting on October 13, 2022, hosted at Eastlake Brewery in collaboration with Ryan Good, MNNA Beer, brought together industry leaders for an insightful and flavorful gathering. Titled "NA Maker Conversations and NA Beer Tasting," the event celebrated the evolution of nonalcoholic (NA) beverages and provided a platform for sharing experiences.

Highlighting the meeting was Jeff Hollander, co-founder of Hairless Dog, a trailblazing local company that pioneered crafting an NA beer that was engineered to be 0% ABV from the start. With a captivating narrative, Jeff recounted the journey of creating and refining Hairless Dog, culminating in its mid-2022 acquisition by Finnegans. His story exemplified the innovation and growth within the NA beverage sector.

The event went beyond beer, as NA cocktail creators and culinary experts also shared their perspectives. Their narratives unveiled the multifaceted approach to bringing NA beverages into the spotlight, demonstrating the diverse creativity that defines the industry.

A unique highlight of the meeting was the blind NA beer tasting, orchestrated by MNNA Beer's Ryan Good and Cate Faulkner. Attendees embarked on a sampling adventure, discussing and dissecting different flavors, textures, and aromas. This interactive tasting session fostered a connoisseur-like discourse among participants, enhancing their appreciation for NA beverages.

In summary, the October 13th ZPC Connect meeting at Eastlake Brewery offered a comprehensive exploration of the NA beverage landscape. From Jeff Hollander's inspiring journey with Hairless Dog to the collaborative blind NA beer tasting, the event encapsulated the dynamic growth and innovation within the industry. Attendees left with enriched perspectives, a deeper appreciation for NA beverages, and a strengthened sense of community within the Zero Proof Collective network.

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Creating an Elevated NA Menu with Staying Power at a Restaurant

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Challenges in the NA Distribution Model