Simplify, Then Add Lightness: Lessons in Fast Hardware Development

Colin Chapman's mantra, 'simplify, then add lightness,' originally applied to racecars, embodies a broader design philosophy relevant across engineering and company-building. At ClearMotion, I learned that speed in hardware development stems from minimizing the learning loop's mass. By eliminating unnecessary requirements and transferring complexity from hardware to software, we accelerated our processes.

Hardware engineering is often perceived as inherently slow due to complex requirements and cross-disciplinary challenges. However, successful teams excel by subtracting non-essential elements. For example, ClearMotion's active suspension system was designed based on real driving data, not extreme conditions, reducing peak force requirements by 80% compared to competitors. This simplification led to a lighter, cost-effective, and responsive design.

Historical examples illustrate the power of subtraction in design. John Houbolt's lunar-orbit rendezvous concept for the Apollo program and SpaceX's use of commercial-grade components in flight computers demonstrate how questioning assumptions can lead to breakthroughs. Similarly, Paul MacCready's Gossamer Condor, built to crash and quickly rebuild, won the Kremer Prize by prioritizing iteration speed over structural durability.

Subtraction requires courage, as overdesign often feels safer but can stifle innovation. Hardware startups should focus on sequentially retiring risks through experiments, engaging customers transparently, and finding investors aligned with this iterative approach. Boom Supersonic's XB-1 demonstrator and NASA's X-planes exemplify this strategy, testing specific unknowns before scaling.

Modern simulation tools and AI have revolutionized early-stage testing, allowing for rapid iteration before hardware commitment. At ClearMotion, we learned the importance of understanding our manufacturing process before outsourcing, as early-stage learning is crucial for efficiency.

Shifting performance from physical complexity to software is transformative. Software-defined hardware, as seen in Google's data centers and Tesla's over-the-air updates, allows for rapid, cost-effective improvements. At ClearMotion, we leveraged software to solve challenges, such as noise cancellation and ride optimization, demonstrating the power of computational solutions.

Organizational lightness is equally vital. Small, agile teams, like those at Lockheed Martin's Skunk Works, maintain shared context and speed. At ClearMotion, we experienced the benefits of co-located design and manufacturing, reducing communication overhead and accelerating development.

Ultimately, the key to fast hardware development is reducing the mass of the learning loop. By questioning requirements, focusing on core uncertainties, and leveraging software, teams can move swiftly under constraints. Chapman's philosophy applies universally: to go fast, carry only what you need.