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Featured cover for the M Accelerator article 'Why Mid-Market Manufacturers Are Losing $1.2M Annually to IoT Data Silos (And the Framework That Changes Everything)' — industrial iot data platform mid-market.
Picture this: A $40M revenue manufacturer with 50+ IoT sensors across their production floor, yet their operations manager still can’t answer which line is actually profitable. An industrial IoT data platform for mid-market manufacturers ($10-100M revenue) isn’t just about connecting sensors—it’s about breaking down the $1.2M annual loss from disconnected data silos that plague 73%
Why AI Wrappers Don't Have Moats
AI wrappers don’t have moats because anyone can call the same APIs you’re using—your entire business model is one OpenAI update away from irrelevance. This fundamental lack of defensibility occurs when startups build thin layers over foundation models without creating proprietary data accumulation, network effects, or meaningful switching costs that prevent customers from jumping to
Picture this: Your CTO just spent three weeks building a customer support automation that could have been assembled in two hours using existing tools. Building AI workflows without coding is not just possible—it’s often the smarter choice for startups burning through runway while their technical talent recreates solutions that already exist. In the past 18
US product-market fit for international companies is a dangerous myth—your American success metrics are actually predictive of international failure. After watching 500+ international founders enter the US market, we’ve discovered that the stronger your home market fit, the harder your US expansion becomes. Picture this: A European B2B SaaS founder sits across from us, radiating
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