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business
Hosted by Michael Michelini · business · EN · 317 episodes
Curious to grow your international business? Then you need insights on Asia, China, and Hong Kong - enjoy the show.
Required Pod Score for this show. PitchCentric checks your profile against host openness, topical fit, and audience signals before you generate a pitch.
Contact path
Verified email
Booking probability
37%
Guest openness
Selective
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Signup to Generate a PitchGlobal From Anywhere Podcast is a business podcast hosted by Michael Michelini, with 317 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.
Michael Michelini hosts Global From Anywhere Podcast, a business show with 317 episodes published.
Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.
Global From Anywhere Podcast
Mike interviews his 12-year-old son Miles about growing up in China and Thailand, different schools, COVID-era moves, robotics, and finding home.
Global From Anywhere Podcast
Mike Michelini presents a practical framework for moving beyond AI chat and building human-led, agent-operated business systems at HorizonAI Expo in Vietnam.
Global From Anywhere Podcast
Justin Lin of Easy China Warehouse joins Mike to break down 2026 logistics realities: rising shipping rates, tariff headaches, inventory strategy, and what sellers should do before Q4.
Global From Anywhere Podcast
Mike Michelini and Christian Garcia break down the Empower The Seller program, BMOS agentic commerce stack, and why owning your product data is the next edge for e-commerce sellers.
Global From Anywhere Podcast
Mike Michelini and Christian Garcia go deep on AI-powered data systems, custom-built e-commerce tools, and the emerging agentic commerce standard and what it all means for Amazon sellers.
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Based on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:
Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.
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