Dan Greene

There were so many nuggets in this conversation with Aaron Lane at Duncan Aviation who shared his experience implementing PLM. This clip underlines the importance of communication, which on the surface is not a surprise, but it often gets overlooked when people are busy and moving fast. Give a listen and let us know your thoughts.

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Business aviation is not a broad consumer category. It’s a concentrated ecosystem of operators, brokers, OEMs, investors, and regulators in a $40 billion+ industry. True growth here doesn’t come from viral clips that attract the wrong viewers. It comes from trust and credibility. What’s been especially encouraging is seeing our visibility ranking climb within the business aviation category. From what we can see in industry search metrics, The VIP Seat is now among above some long-established traditional aviation media (even beyond business aviation) in discoverability, and number one in our category. That doesn’t happen by accident. We’ve never chased outrage or algorithm tricks. We’ve focused on explaining the mechanics behind the headlines: Part 135 compliance, illegal charter, aircraft economics, capital structure, regulatory gaps. Authenticity scales differently in a niche. Grateful for the 1,000+ serious listeners building this with us. Please continue to share and engage with us so we can keep bringing you the facts that matter every week. And Preston Holland and I are just getting started.

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9 Comments

Beyond Subscription for the Service Providers I propose additional revenue models for high-tier service providers. While current leaders like Google, LinkedIn, Meta, and Netflix utilize cutting-edge technology, their revenue models remain primitive, relying almost exclusively on advertising or flat-rate monthly subscriptions. These models are sufficient for average consumers, but they fail to capture the value sought by power users willing to pay for specific, high-value additions. My proposition is to charge based on incremental value. Netflix: Tiered Content and Feature Monetization Flat-fee subscriptions disadvantage premium content producers by averaging the value of high-budget and low-budget media. Premium Access: Specific high-value content should allow for an additional per-view charge, enabling the inclusion of more specialized or high-budget productions. Feature-Based Billing: Services such as dubbing or specialized subtitles could be charged as add-ons. This creates a self-sustaining revenue stream for localization, increasing total content availability without inflating the base subscription cost. LinkedIn: Usage-Based Utility Current subscription models often force users into long-term packages for short-term needs, or conversely, penalize high-intensity interaction by flagging accounts. On-Demand Actions: Advanced searches and high-value interactions should be available via per-action or short-term bursts rather than monthly commitments. Retention Logic: Rigid account blocking for high-intensity use disincentivizes platform interaction. A usage-based model allows for "heavy use" periods without compromising account status, preventing the increase of "ghost accounts." Google Gemini: Compute-Based Pricing Standard monthly fees for AI do not align with the high infrastructure and energy costs of data centers. For productivity-focused users, pricing should scale with computational load. Dynamic Assessment: Upon receiving a query, the system should provide three processing tiers: Fast Thinking: 0.2 cents Moderate Thinking: 1.2 cents Heavy Thinking: 2.0 cents Efficiency: This allows users to pay only for the required "compute" for a specific task, removing the barrier of a high flat-rate monthly fee for intermittent users. Implementation: Pre-Paid Credit System I propose a pre-paid "wallet" system to facilitate these micro-transactions. Privacy and Security: Pre-payment removes the necessity for service providers to store sensitive credit card data. Financial Logic: Service providers benefit from the time value of money by receiving payments upfront. Micro-transactions: Small-scale billing (in cents) is technically feasible through a pre-paid balance where credit card processing fees would otherwise make it impossible. Transferability: This system allows for easy peer-to-peer balance transfers, such as a parent allocating a specific budget to a child’s account for controlled service consumption.

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𝐖𝐡𝐲 𝐝𝐨 𝐬𝐨 𝐦𝐚𝐧𝐲 𝐬𝐭𝐚𝐫𝐭𝐮𝐩 𝐣𝐨𝐛 𝐝𝐞𝐬𝐜𝐫𝐢𝐩𝐭𝐢𝐨𝐧𝐬 𝐟𝐚𝐢𝐥? Because they all sound the same. “Extreme ownership.” “Only builders.” “Move fast.” “No hand-holding.” "Unlimited snacks and PTO, ping pong, pizza parties, etc." 𝒚𝒐𝒖 𝒈𝒆𝒕 𝒊𝒕... That’s not differentiation. That's a frat house. Startups sell a "fantasy" instead of "real-world clarity". They describe culture instead of outcomes. They hype attitude instead of defining success. Top engineers don’t make career decisions based on adrenaline. They want to know: What’s broken? What must be fixed in 90 days? What does success actually look like? If that’s not clear, they pass. It is understandable that many founders don't realize how a job description actually reads. That is why the first thing we do, after a detailed intake call, is completely rewrite and reframe the job description. Every time. Why? Because from experience, the job description is one of the single biggest points of failure in hiring. If it’s vague, hype-driven, or internally confused, you will attract the wrong candidates, or worse, repel the right ones. Your job description isn’t marketing copy. It’s a leadership document. If it lacks clarity, don’t blame the talent market. Start there 👆 ☝ 🛡️𝑮𝒐𝒗𝑪𝒐𝒏 𝑭𝒐𝒖𝒏𝒅𝒆𝒓 | Leader 𝒊𝒏 𝑨𝒆𝒓𝒐𝒔𝒑𝒂𝒄𝒆, 𝑫𝒆𝒇𝒆𝒏𝒔e & 𝑫𝒓𝒐𝒏𝒆 𝑰𝒏𝒅𝒖𝒔𝒕𝒓𝒚 𝑹𝒆𝒄𝒓𝒖𝒊𝒕𝒊𝒏𝒈 #PatriotMethod #NoBSRecruiting #LeadershipDrivenHiring #executivesearch #startups

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Band-aids don’t lie. In aviation or assembly lines, the small stuff is often the loudest clue. Timothy Wade shares how ignoring near misses—or yes, even paper cuts—could cost you more than you think. What are your band-aids trying to tell you? Catch this moment from our full episode of Elevate EHS Podcast with Tim Wade. https://lnkd.in/gqWB5Wey #SafetyStratus #EHSLeadership #RiskManagement #NearMissesMatter #ElevateEHS

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While you're buying AI demos, your competitors are rebuilding their operational architecture. And that's the difference between transformation and expensive theater. Yesterday's Enigma talk with Kunal Sarkhel: The airlines winning at AI aren't the ones with the most vendor partnerships. They're the ones who spent the last five years: Integrating data systems that currently don't communicate Building organizational capacity to address issues in days, not quarters Creating operational flywheels that compound efficiency gains Developing institutional muscle for rapid learning cycles You cannot deploy AI on 1970s IT infrastructure and expect modern outcomes. The hard truth: AI needs integrated systems. Your competitive advantage came from safety through compartmentalization. These realities are fundamentally opposed. Three paths forward: Path 1 (Expensive, slow): Build data warehouses and integration layers. AI will evolve three generations while you're still integrating. Path 2 (What most are doing): Let AI operate your fragmented systems like humans do, 47 clicks and all. You're automating inefficiency at scale. Path 3 (Actual strategy): Fix the architecture first. Then deploy AI that compounds operational excellence rather than dysfunction. Only 12-17% of enterprises are generating AI ROI. The gap isn't technological. It's organizational readiness. The regulatory environment adds years of uncertainty. No certification framework exists for systems that learn continuously. Your timeline to deployment just got longer. New piece on why aviation AI initiatives are stalling. Which path is your organization on? And more importantly, which path are your competitors on?

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Our latest interview with Firefly Aerospace CEO Jason Kim proves the moon is now a destination for data centres, power plants, and high-speed networks. Another major thing I'm looking forward to seeing playout in the 2026 roadmap? Agentic AI in orbit. We’re moving from sending raw data back to Earth to processing Insight-as-a-Service directly in space. It’s a complete re-engineering of how we use orbital assets. Can't wait to be in DC for our very first event on Nov 9-10 to host Jason and other key disruptors in the industry. the rest of this conversation. If you’re in the space or tech sector, this Q&A is a must-read. Check out more about the event: https://lnkd.in/ehqbYEeA

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