TECHEDTV Podcast with Dr. Edwin Hernandez copertina

TECHEDTV Podcast with Dr. Edwin Hernandez

TECHEDTV Podcast with Dr. Edwin Hernandez

Di: Dr. Edwin A. Hernandez
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Dr. Edwin Hernandez host for TECHEDTV podcast brings you the latest in technology, fintech, Expert Witness, Patents, Investments, crypto, cloud, AI, startups. We interview many startup founders and bring an audio-only outlet for techedtv show in Youtube and Facebook. This is podcast is brought to you from our EGLAVATOR Tech Incubator at our studios. I work with startups and incubate ventures in Boca Raton, FL.© 2025 - Dr. Edwin A. Hernanandez Economia
Episodi
  • Buzz Beans CEO - Jordan Rothschild

    Buzz Beans CEO - Jordan Rothschild
    Oct 13 2026

    In this episode of the TechEdTV Podcast, host Edwin Hernandez sits down with Jordan Rothschild, founder and CEO of Buzzed Beans, to talk about her journey from advertising and the spirits industry into entrepreneurship. Jordan shares how she and her husband came up with the idea for a low-sugar, all-natural espresso martini line made with real Colombian cold brew and espresso extract—available across vodka, tequila, gin, and whiskey.
    They discuss the rise of ready-to-drink (RTD) cocktails, shifting consumer habits (especially with Gen Z), and how AI is helping brands research markets, create campaigns, and personalize the shopping experience. Jordan also opens up about launching first in the UK, plans for the U.S., the realities of being a female founder wearing multiple hats, and her long-term vision for the brand.
    A must-listen for anyone interested in consumer products, startup life, marketing, and the evolving beverage industry.
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    20 min
  • From Coal Trading to a $300M Exit: Why Tech Founders Must Build Moats — Lessons from Ryan Gnessing

    From Coal Trading to a $300M Exit: Why Tech Founders Must Build Moats — Lessons from Ryan Gnessing
    Mar 24 2026
    Good morning, good evening, good afternoon — wherever you’re watching from. In the latest episode of TechedTV, I sat down with Ryan GNessin, a serial entrepreneur, former Glencore commodities trader, and angel investor who turned a blank-canvas move to New York into a massive e-commerce roll-up and exit. Ryan’s journey is proof that bold career pivots can pay off — but only if you build real competitive advantages along the way. From Life Insurance to Glencore’s $500M Trading Desk Ryan started his career as a life insurance advisor in Australia but quickly realized it wasn’t for him. A mentor connected him with Glencore, one of the world’s largest commodity trading firms. He joined the head office in Switzerland as a traffic analyst, then moved to Jakarta, Indonesia, on just four days’ notice. Over eight intense years, he rose to head the regional office and managed a $500 million physical coal trading desk. It was high-stakes, high-travel work: meeting miners, partying with customers, flying 250–300 times a year, and riding the boom-and-bust cycles of the 2008 financial crisis. The lifestyle was exciting in his late 20s and early 30s, but eventually the constant travel and lack of work-life balance caught up. In 2016, at age 33, Ryan walked away with no job, no girlfriend, and no plan — just a blank canvas in New York City. The Blank Canvas That Became a $300M Exit Instead of looking for another corporate role, Ryan started small: retail arbitrage — buying branded footwear (Nike, Adidas, Hoka) from stores and reselling on Amazon. He quickly moved into private labeling and spotted an opportunity: thousands of small Amazon sellers generating solid revenue but lacking scale. Many could be acquired cheaply (2–3x EBITDA). That insight became Elevator Brands — an e-commerce roll-up platform. Started with tiny acquisitions ($200K–$400K revenue businesses) as experiments. Raised $8M in 2020, then much larger rounds as COVID accelerated e-commerce. In 2021 alone, the team grew from 15 to 220 people and acquired 20 businesses (total of 32 across the journey). One standout: Rhino USA (motorsport accessories), acquired at ~$20M revenue and scaled to over $100M. The result? A successful exit in 2023 after building a portfolio that proved the power of disciplined acquisition and operational scaling. Key Lessons for Tech Founders & Entrepreneurs 1. Start Where You Stand — Then Iterate Ruthlessly Ryan didn’t have a perfect 10-year master plan. He started with what was in front of him (Amazon arbitrage) and iterated until it worked. “Start small, test, and if it works, double down — if not, move on.” 2. Build a Real Moat — or Get Commoditized This was Ryan’s strongest message for today’s founders, especially on platforms like Amazon: Patents matter — Utility patents create real barriers; design patents are weak. Brand recognition wins — Rhino USA customers happily pay more because they trust the brand. Supply chain advantages or unique customer relationships also work. Without a moat, you’re just another copycat competing on price. Margins erode fast when 1,000 sellers can source the same product from Alibaba. Ryan’s advice: Ask yourself — Why would a customer choose my product over the 10 identical ones next to it? 3. Retail Arbitrage Is a Great Starter, Not a Destination Going to Costco or Nike outlets, flipping products on Amazon or eBay is an excellent low-risk way to learn e-commerce and generate cash. But it’s rarely a high-quality, high-exit business. Use those early profits to fund bigger experiments with better moats. 4. Timing + Tailwinds Matter — But So Does Grit COVID created massive e-commerce tailwinds, but Ryan was already testing the model before the pandemic. When opportunity struck, he was ready to raise capital and scale aggressively. 5. Career Changes Every ~10 Years Can Create an Exciting Life Ryan left a highly paid, specialized role in coal trading because it no longer felt right. His mentors thought he was crazy. He believes changing direction roughly every decade keeps life interesting — especially when you’re young and without heavy family commitments. What Ryan Looks for as an Angel Investor Today Sector first: He’s especially excited about humanoid robotics (which he believes could become the largest industry in the world within 10–15 years) and AI. Strong teams and big-name investors on the cap table (for resilience during tough times). Clear competitive landscape analysis. On the AI bubble question: Ryan sees high valuations and bubble-like P/E ratios, but also insatiable demand for GPUs (NVIDIA’s recent numbers prove it). His approach? Hold some dry powder for corrections, but avoid panic selling — the market could still run higher. Final Takeaway for Founders Whether you’re trading physical commodities, flipping shoes on Amazon, or building the next AI/robotics startup — sustainable success comes from ...
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    28 min
  • Modern Operating Systems for AI Agents

    Modern Operating Systems for AI Agents
    Feb 18 2026
    An operating system (OS) is the fundamental software that acts as an intermediary between computer hardware and user applications. It manages hardware resources such as the CPU, memory, storage, and input/output devices, while providing essential services like process scheduling, file management, security, and user interfaces. Without an OS, users would need to interact directly with hardware, which is impractical for most tasks. Common examples include Microsoft Windows, which focuses on graphical user interfaces and broad hardware compatibility; Linux, known for its open-source nature and use in servers; and macOS, optimized for Apple hardware with emphasis on user experience and integration. Operating systems can be monolithic (where all components run in a single kernel space, like traditional Linux) or microkernel-based (where services run in user space for better modularity and reliability, like in Minix). They also handle multitasking, allowing multiple programs to run simultaneously, and provide abstractions like virtual memory to make programming easier. I will first introduce traditional operating systems and its use in current desktops, mobile devices, and servers, and will compare them with my vision for distributed operating systems, as my proposal is MEVIA OS. The main use case is a world of AI agents (e.g. OpenClaw), more decentralized and operating 24/7, requiring then access, configuration, and communications with humans, anytime, anywhere for decision making and final touches as we free our time from being in front of our laptops. Comparing Traditional Operating Systems There are three main traditional Operating Systems: Windows, Linux, and MacOS. Their architectures are as follows: Operating Systems Architecture Windows Microsoft Windows, first released in 1985 as Windows 1.0, evolved from MS-DOS as a graphical extension to provide a user-friendly interface for personal computers. Developed by Microsoft, it quickly became the dominant OS for desktops and laptops due to its compatibility with a wide range of hardware and software. Over the decades, versions like Windows 95 introduced the Start menu and internet integration, while Windows XP (2001) emphasized stability and multimedia. Modern iterations, such as Windows 11 (2021), focus on cloud integration, AI features like Copilot, and enhanced security with features like Windows Hello. Its history reflects Microsoft's strategy of backward compatibility, ensuring legacy applications run on new versions, which has contributed to its market share exceeding 70% in desktop OS usage as of 2023. Windows operates on a hybrid kernel architecture, blending monolithic and microkernel elements for efficiency. The NT kernel, introduced in Windows NT 3.1 (1993), handles core functions like process management, memory allocation, and hardware abstraction. It runs in kernel mode for privileged operations and user mode for applications to prevent crashes from affecting the system. The OS supports multitasking through preemptive scheduling, allowing multiple processes to run concurrently. User interaction occurs via the graphical shell (Explorer.exe), with subsystems like Win32 for API calls. Security features include User Account Control (UAC) and BitLocker encryption, while updates are managed through Windows Update for ongoing improvements and patches. Kernel: Manages hardware resources, process scheduling, and memory; hybrid design for performance. Process Scheduler: Handles multitasking and priority-based execution of programs. File System (NTFS): Supports large volumes, encryption, and permissions for data management. Device Drivers: Interfaces with hardware like printers and GPUs via the Hardware Abstraction Layer (HAL). User Interface (GUI): Includes Desktop, Start Menu, and Taskbar for intuitive navigation. Security Subsystem: Features like Windows Defender and firewall for threat protection. Networking Stack: Manages TCP/IP, Wi-Fi, and cloud services integration. Linux Linux originated in 1991 when Linus Torvalds created a free, open-source kernel as an alternative to proprietary Unix systems. Inspired by Minix, it was released under the GNU General Public License, fostering community collaboration. Distributions (distros) like Ubuntu (2004) and Fedora bundle the kernel with tools from the GNU project, making it accessible for servers, desktops, and embedded devices. Its history highlights adaptability, powering over 90% of cloud servers and supercomputers by 2023, thanks to contributions from companies like Red Hat and Canonical. Linux's philosophy emphasizes modularity, stability, and customization, appealing to developers and enterprises. Linux uses a monolithic kernel where all core services run in kernel space for speed, though modules can be loaded dynamically. It boots via init systems like systemd, managing services and hardware detection. Processes are scheduled using algorithms like Completely Fair Scheduler (CFS) for ...
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    18 min
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