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ā³ Idea Queue

Pillar 1

  • Week 1: Research spend is tied to GDP; your real GTM is replacing incumbents.
  • Week 2: Top-Down TAM is a trap: Why bottom-up beachhead math is the only metric that matters.
  • Week 3: The "Academic Market" Illusion: Why selling to university labs caps your valuation.
  • Week 4: Selling Specs vs. Selling Yield: Why industrial buyers don't care about your breakthrough science.
  • Week 5: Pilot Purgatory: Structuring commercial triggers before technical validation begins.
  • Week 6: The "Drop-In Replacement" Myth: Underestimating industrial switching costs and workflow inertia.
  • Week 7: TRL vs. CRL: Why a high Technology Readiness Level doesn't equal Commercial Readiness.
  • Week 8: The SaaS Playbook Trap: Why applying software GTM strategies to physical deep tech fails.
  • Week 9: Value-Based Pricing in Hardware: Pricing the industrial problem solved, not the Bill of Materials.
  • Week 10: The Tech Transfer Disconnect: Why university spin-offs frequently misidentify their primary customer.
  • Week 11: Crossing the CapEx Barrier: The strategic friction between capital equipment sales and service-driven models.
  • Week 12: Founder-Led Sales: Why you cannot outsource early market discovery to a VP of Sales.

Pillar 2

  • Week 1: From Discovery to Competition: The psychological shift required when you stop publishing novelties and start fighting for market share.
  • Week 2: Falling in love with the ugly problem: Why technical founders must learn to abandon their most elegant prototypes.
  • Week 3: Why you actually need to care about valuation: It’s not about founder ego; it’s about maintaining the operational freedom to build hard tech.
  • Week 4: The Scientist’s Identity Crisis: The humbling moment you realize buyers care more about reliability and uptime than your breakthrough physics.
  • Week 5: Shielding the engineering team: How to protect R&D morale when a brilliant product gets stalled in corporate procurement purgatory.
  • Week 6: The lab bench vs. the factory floor: The brutal reality of physical hardware integration in the wild.
  • Week 7: The danger of the "Perfect" Prototype: Why deep scientific rigor can actually be a founder's biggest liability in early product development.
  • Week 8: Building physical moats: The hidden personal toll—and the ultimate strategic reward—of iterating on atoms instead of code.
  • Week 9: Pricing your brain: Overcoming the imposter syndrome of charging for the systemic value of your IP, rather than the cost of your materials.
  • Week 10: The Tech Transfer Chasm: Why leaving the university ecosystem to build a venture-backed company feels like landing on a different planet.
  • Week 11: Bridging R&D and Commercial: What it actually takes to lead a product engineering team that must speak both deep science and business outcomes.
  • Week 12: The "Commercial Co-Founder" Myth: Why scientists are uniquely equipped to lead enterprise sales, and why outsourcing it is a fatal error.

Pillar 3

  • Week 1: The Quantum Bottleneck: Why scaling qubits is fundamentally impossible without industrialized testing and metrology infrastructure.
  • Week 2: Standardizing the Bespoke: The painful but necessary transition from duct-taped laboratory setups to commercially reliable hardware products.
  • Week 3: The 6-Person Squad: Why a tight, cross-functional engineering team outmaneuvers massive R&D departments in deep tech.
  • Week 4: Translating Physics to Hardware: Bridging the inevitable communication gap between quantum physicists and classical systems engineers.
  • Week 5: Designing for Interface Boundaries: Why complex hardware products rarely fail at the core, but almost always fail at the integration points.
  • Week 6: The Moving Target: Defining "done" for a product when the underlying industry hasn't even finalized its own structural benchmarks.
  • Week 7: Cryogenics and Signal Fidelity: Managing the brutal physical constraints and edge cases of systems engineering in quantum environments.
  • Week 8: Systems Thinking vs. Deep Specialization: The exact traits to index for when hiring into an advanced product development team.
  • Week 9: Modularity in Hard Tech: Building adaptable architectures to survive when hardware iterations are inherently slow and expensive.
  • Week 10: The Cost of Technical Debt in Physical Systems: Why you can't just push a hotfix patch to a dilution refrigerator.
  • Week 11: Shielding the Engine Room: Keeping a highly specialized engineering team aligned and focused amidst rapidly shifting commercial priorities.
  • Week 12: The Contributor-to-Manager Pipeline: Leading a technical team without losing your own systems engineering edge.

šŸ“ƒ Drafting

āœ… Scheduled / Posted

  • 25-07-31_MVP to Teach and Learn
  • 25-08-07_ 3 signals that your scientific prototype is ready for productization
  • [[25-08-08 _ I used to think building was the hard part. Now I think it’s vision.|25-08-08 _ I used to think building was the hard part. Now I think it’s vision.]]
  • [[25-08-11 _ Here’s a time I ignored the market signal and paid for it|25-08-11 _ Here’s a time I ignored the market signal and paid for it]]
  • [[25-08-12 _ Why many deep‑tech startups fail after seed—and how to avoid it|25-08-12 _ Why many deep‑tech startups fail after seed—and how to avoid it]]
  • [[25-08-21_ Product leadership isn’t project management. Here’s why.|25-08-21_ Product leadership isn’t project management. Here’s why.]]

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Aquiles Carattino
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