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To avoid obsolescence costs from long component lead times, hardware companies can use a dual-track approach. One track focuses on small, quick iterations rolled into the current product 'block' based on immediate user feedback. The other track works on a long-term, ground-up redesign for major technological leaps.

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Hardware development is often stalled by supplier lead times. To combat this, proactively map out multiple, redundant manufacturing options for every component. By maintaining a constantly updated "lookup table" of suppliers, processes, and their current lead times, teams can parallelize workflows and minimize downtime.

Unlike software, a deep-tech hardware startup's first product is essentially a prototype, according to Cerebras CEO Andrew Feldman. The second iteration refines the technology, and only the third generation truly scales and achieves market traction. This necessitates a decade-plus timeline and immense capital before success.

Effective product development requires a constant rhythm between expansive strategic thinking (pulling the accordion out) and focused, rapid execution (pushing it in). Over-indexing on either long-term roadmaps or mindless iteration leads to failure. This model balances learning with shipping.

Unlike software, hardware iteration is slow and costly. A better approach is to resist building immediately and instead spend the majority of time on deep problem discovery. This allows you to "one-shot" a much better first version, minimizing wasted cycles on flawed prototypes.

Hardware startups must not wait for physical prototypes to get customer feedback. Steve Blank advocates for creating 'digital twins'—advanced, interactive simulations—that customers can use. This allows for rapid iteration and customer discovery, mirroring the agility of software development.

Boom Supersonic accelerates development by manufacturing its own parts. This shrinks the iteration cycle for a component like a turbine blade from 6-9 months (via an external supplier) to just 24 hours. This rapid feedback loop liberates engineers from "analysis paralysis" and allows them to move faster.

When launching a new hardware product, success hinges on four principles: 1) Define goals early and change them as little as possible. 2) Start design on the hardest, most likely to fail parts. 3) Over-index iteration on parts customers touch most. 4) Act with ruthless urgency.

Hardware innovation culture is fundamentally different from software. Founders must be intrinsically motivated by the slow, deliberate, and expensive process of creating physical things. The reward is not quick iteration but conquering the immense difficulty of a process where mistakes are very costly.

For expensive physical products where rapid software-style iteration is impossible, conduct single-unit pilots in adjacent or smaller markets. This allows for crucial design optimization and learning without the high cost and risk of failing in your primary target market before you're ready to scale.

To avoid post-launch stalls, operate two parallel tracks. The 'delivery track' executes the current roadmap, while a separate 'discovery track' simultaneously researches and plans for the next 18-24 months. This ensures a continuous flow of validated ideas into the pipeline.