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This startup died in 2017, but its dream of in-ear computing is everywhere

Few elements of Silicon Valley’s culture are more cherished than its embrace of failure . Nobody looks askance at you for starting a company that doesn’t make it. Indeed, it’s widely regarded as a badge of honor, proving your willingness to make bold, risky bets and leaving you a smarter, more battle-tested veteran. And yet failed startups tend to be forgotten the moment their doom is sealed.…

This startup died in 2017, but its dream of in-ear computing is everywhere

Doppler Labs, a startup that aimed to revolutionize in-ear computing, vanished in 2017, yet its audacious dreams persist. Founded in 2013 by Fritz Lanman and Noah Kraft, the company developed Here One, wireless earbuds that went beyond simple music streaming and calling. Doppler Labs sought to create intelligent audio mixing, improve hearing aid experiences, enable real-time translation, and offer a new wearable tech platform.

Their ambition was formidable, as they tackled technological hurdles like Bluetooth reliability and acceptable battery life before the AirPods' release in December 2016. AirPods, which became Apple's cornerstone product, introduced many of the features Doppler had envisioned, such as seamless audio mixing and real-time translation. However, the company's innovative vision did not die with them.

Elements of Doppler's grand plans are now commonplace in today's wireless earbuds, like Google Pixel Buds and Samsung Galaxy Buds. Competitors have implemented voice assistants and AI-powered features that Doppler Labs had been researching for a decade. Despite its closure, Doppler's visionary founders are unapologetic about their efforts.

"We took a really good shot," admits Kraft, acknowledging that the final product fell short of their lofty expectations. The story of Doppler Labs serves as a reminder of bold startups that may disappear, but their bold ideas can shape the future of technology.

Written by urgent.news from Fast Company's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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