I created a toothbrush that docks and charges without wires

Hacker News

Hey HN! I’ve been a DTC founder in the oral care space for several years and was looking to bring new innovation to the electric toothbrush aisle. My biggest pain point with electric toothbrushes came from my own experiences using competing brands. The brushes took up a lot of bathroom counter space when charging, had an unsightly wire running from the wall and the dock often filled with water/gunk. Not to mention I’d often knock over my brush when reaching for other bathroom tools. I wanted to create a product that was always within reach, but out of the way. Something that lived in the bathroom and improved the aesthetic - not detracted from it. The “aha” moment came when I got a new Dyson wall charging vacuum in my home. The product was incredible - it was easy to grab and go, accessible and made vacuuming a fun task, not a chore. The thought of lugging out a heavy vacuum from the closet and plugging a wire in was something of the past. Dyson brought incredible innovation to this small routine. I applied this same thought process to Mode. I wanted to create a brush that lived on the wall like the Dyson vacuum and was easy to grab and go. Something that had no wires, was not intrusive and made the routine of brushing a better experience. I embarked on a 2+ year journey with an amazing design and engineering team. Together, we created a compact charging dock that plugs directly into the bathroom wall and magnetically docks and charges the toothbrush. The biggest challenge we faced was getting all of the components in such a compact wireless dock (magnets, charging coil, LED nightlight, etc) in addition to getting the charging to work without overheating. The product is patent-pending and I’m incredibly excited for the future of brushing. Happy to answer any questions and would love feedback.

Visit product View on Hacker NewsJul 18, 2022

Share card

Actual performance

2points

1comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting

89%89% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: dock, new, using · Missing: mac, agents, macos

79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, io · Missing: https docs, just released, exist

42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

NewsFreak: A newsreader I initially created for myself40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

NewsFreak: A newsreader I initially created for myself

Hacker News1

I'm tired of corrupt US politicians, so I created this38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I'm tired of corrupt US politicians, so I created this

Hacker News334

Created Gapsly, Now What?47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Created Gapsly, Now What?

Hacker News2

Stumpy – StumbleUpon Re-Created45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Stumpy – StumbleUpon Re-Created

Hacker News3

My grandfather died so I created RIP35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My grandfather died so I created RIP

Hacker News1

Why I created Picket35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Why I created Picket

Hacker News1

The Most Toxic App Ever Created29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Most Toxic App Ever Created

Hacker News3

A prank app created with bevy29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A prank app created with bevy

Hacker News1

Twosome - app created originally for my girlfriend39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Twosome - app created originally for my girlfriend

Hacker News32

A CRUD API created with a DSL compiler I made called Rodson64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A CRUD API created with a DSL compiler I made called Rodson

Hacker News2

Browse all products Analyze your launch