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InnovationCaitlin Kalinowski (ex–OpenAI, Meta, Apple)

Off-the-Shelf to Prove It, Custom to Ship It

Prototype with whatever works fastest; go custom only when KPIs demand it.

Difficulty
Moderate
Time to result
~weeks to results
Steps
3
Confidence
90%

A recurring hardware decision is whether to use cheap existing components or build something new. Kalinowski's rule: in prototyping, use off-the-shelf parts aggressively because the only goal is proving the thing can work at all; reserve custom parts for mass production, and only where an off-the-shelf part can't meet a specific KPI. The bridge is a 'works like / looks like' pairing that keeps the ugly working prototype tethered to the final industrial design.

Origin

Caitlin Kalinowski, on component strategy across VR and consumer hardware.

Core principles

  • 01The purpose of a prototype is to show it can work at all, not to be pretty or final
  • 02Speed of proof beats elegance in the prototyping phase
  • 03Custom parts are justified only when a KPI (size, weight, color) can't be met off-the-shelf
  • 04A prototype must stay checkable against whether it can fit the final industrial design

How to run it

  1. 1

    In prototyping, grab whatever works fastest

    Use off-the-shelf parts wherever you can to reach a working prototype quickly. The goal is a proof of function — 'can you get a thing working' — even if it's the ugly version.

  2. 2

    Keep a 'works like' and a 'looks like' model in parallel

    Pair a working (ugly) prototype that proves function with an industrial-design model that shows the final form. Humans reason well across the two as long as what you've proven can plausibly fit into the final design.

    Pro tip Continuously sanity-check that the off-the-shelf parts' size, weight, and materials could actually shrink into the final industrial-design envelope.

    Watch out For younger companies the working parts often can't fit the intended form — if you never check, you prove the wrong thing.

  3. 3

    Go custom in production only where a KPI forces it

    At mass production, still buy off-the-shelf if a stock part fits your size/weight/color targets. Choose custom when stock parts, though functional, aren't exactly right for your goals.

    Watch out Custom parts add cost, lead time, and supply-chain risk — don't default to them when a stock part meets the KPI.

In the wild

Cheap drones from scaled generic parts

Kalinowski notes drones are now cheap precisely because so many components were innovated, scaled, and mass-manufactured for other uses; builders can assemble a capable drone from those existing parts rather than designing everything custom.

Dramatically lower cost and faster assembly by leveraging the off-the-shelf ecosystem instead of bespoke components.

Common mistakes

Polishing a prototype instead of proving function

Spending prototype time on making parts final or pretty misses the phase's only job — showing it can work at all — and slows the proof.

Prototyping with parts that can't fit the final form

If the off-the-shelf demo can't physically shrink into the industrial design, you've validated something that won't translate to a shippable product.

Is it for you?

Best for

Hardware teams and startup founders deciding build-vs-buy while racing to a working proof

Not ideal for

Products whose entire differentiation is a novel custom component that has no off-the-shelf analog even for prototyping

From the transcript

I use offtheshelf whenever I can especially in the prototyping phases

53:00

your goal is to show that it can work at all

53:00

we call it works like looks like models

53:30

From the episode

Why we’re at the beginning of the AI hardware boom

Caitlin Kalinowski (ex–OpenAI, Meta, Apple)