When we broke the news about X-Shifter at Interbike a couple years ago, it quickly developed a following for anyone looking to add wireless electronic shifting to their existing bicycle. There’s different reasons, like ease of packing for travel and triathlon bikes, or less cable routing on tandems, but they found another user group speaking up.

Disabled cyclists may rely on fewer appendages to control their bikes, so anything that simplifies shifting and control can be a game changer. And if they don’t have to take their hands (or claw or hook) off the bar or hand cycle pedal/grip to shift, that’s a big step up.

Using their iOS app (and eventually Android) and the technology already embedded in your smartphone, they’re developing voice control to ship with early units. From there, they’re saying wearables are another way to incorporate alternate shifting methods into the system.

As for the delivery date, founder Paul Gallagher says the first units should ship out in a week (we read that as very early January), with additional batches rolling out in waves over the next couple months until all Kickstarter backers have received their units. After that, post-campaign pre-orders, then regular sale units. The 1x MTB groups are first to deliver.


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4 years ago

nice Lasher sport ATH FS that was the first one ever built hand made in AK ! hope you give a shout out to Bill and Willy the welder.

4 years ago

Waitin for mine that will be mounted on my hand bike Reactive Adaptation Nuke

4 years ago

If XShifter is using the Siri API, it relies very heavily on a good data signal from the phone (uploading your voice command to the cloud for pattern recognition). That would make the feature unreliable or useless in areas with weak or no cell tower coverage.

4 years ago
Reply to  KGR

Don’t be too negative. This is a great advancement for some people. Just imagine trying to ride a bike if you have no use of your hands or fingers. Yes, initial release will use the iOS voice recognition. (Not Siri), so it relies on cloud. I think it’s way more reliable than you think. For one, those people that need this don’t often venture out into remote areas with no cell coverage.

Later, we will add native voice recognition so not dependent on cloud. But the downside, this system requires a learning phase to train the voice.