Memoket Gem
An AI wearable that remembers your conversations all day
896 followers
An AI wearable that remembers your conversations all day
896 followers
We’re opening 50 free spots for our Founding Member Program for founders, SMB owners who want to try Memoket Gem early. Memoket Gem is an all-day AI wearable that captures meetings, calls, coffee chats, and decisions on the go. It summarizes key moments, connects context across conversations, and turns them into tasks, notes, and follow-ups in the tools you already use. Join us and help shape the future of real-world AI memory.
the 'learns from conversations' angle is a great direction most knowledge tools require you to explicitly save things and nobody does. curious how it handles messy conversations?
Memoket Gem
@renkethye Real-life conversations are messy by nature: background noise, overlapping voices, interruptions, cafés, conferences, open offices, etc.
This is why we’ve put a lot of work into the capture layer. Our team has 10+ years of experience in audio consumer electronics, and we’ve developed our own noise reduction and voice enhancement algorithms to improve speech clarity in these kinds of environments. So instead of assuming conversations happen in a quiet room, Memoket is designed to better handle real-world audio conditions from the start
shipping the app before the hardware is the right call, validates the ai memory layer independently. one thing i'm wondering: when the context layer tries to link a client mentioned Monday's coffee chat to Friday's formal call, is that entity resolution rule-based or does the model infer it?
Memoket Gem
@sujal_gupta12 Thanks for the question, today this is primarily rule-based but over time, we do see room for model-assisted inference, especially for ambiguous cases where the same client/person/topic is referenced in different ways.
This is interesting. I can see myself using it after customer calls or even casual chats with users. I usually write notes later and forget half of what was said, so having something that captures the details and lets me review them later would be useful.
Memoket Gem
@ann_y1 Thanks, Ann! That’s exactly the kind of use case we had in mind. Customer calls and casual user chats often contain the most useful details, but they’re easy to lose if you write notes later. Gem is meant to help you capture those moments intentionally and review the key takeaways when you need them.
Memoket Gem
@ann_y1 The "write notes later and forget half of it" struggle is so real. That's exactly what got us building this in the first place. If you end up trying the app, we'd love to hear how it fits into your workflow. Thanks for checking us out!
The interesting part to me is less the recording itself and more the “connecting conversations over time” idea.
Feels like that’s the part current AI note tools still miss. Congats on the launch guys!
Memoket Gem
@campritchard Thanks Cam, really appreciate this! That’s exactly the part we’re most excited about too.
Recording is only the starting point. The real value is helping people connect context across conversations over time, so useful details don’t get lost between meetings, chats, and ideas.
Thanks for the support!
Memoket Gem
@campritchard You nailed it, Cam. Recording is table stakes at this point. The real magic is when you can look back and see how a project or relationship evolved across multiple conversations without having to piece it together from memory. That's the part we're obsessing over. Thanks for the support!
Congrats on the launch! I actually really like the idea of this being wearable. I’ve tried recording notes on my phone before, but I always forget to start it or it is interrupted by a phone call. This feels more natural.
Memoket Gem
@linglistack For sure! That phone call interruption is SO relatable😅. We've all been there, mid-recording and then boom, someone calls and kills it. That's exactly why we went with a dedicated wearable. It does one job and nothing interrupts it.
Memoket Gem
@linglistack Yes, exactly! Making it feel natural was a big part of the design goal. Pulling out a phone can add friction or change the flow of a conversation, while a wearable can quietly stay with you and help capture useful context in the moment. Thanks so much for sharing this!
curious what would you want your AI memory to remember for you ?
Memoket Gem
@bruce_warren Thanks for the great question!
The honest answer: AI tools are only as smart as the context you feed them. Right now, that context lives mostly in our heads or in scattered notes. Every time founders, SMB owners, knowledge workers, or anyone wanting to use ChatGPT, Claude, or any AI tool to help with real work (make a document, help develop a product launch plan, etc), they have to retype, retell, and re-explain what's actually happening in their business and lives. The strategy call from yesterday. The client objection from last week. The hallway decision that changed the roadmap. None of that is in your AI's memory by default.
So the question isn't really "what should AI remember." It's "what context do you keep having to feed AI from scratch?"
For us, the answer is: the conversations that actually drive decisions. Client calls. Customer feedback. Hiring interviews. Quick coffee chats with co-founders. Investor follow-ups. These are the moments where the real signal lives, and they're the moments AI is currently blind to.
That's what Memoket Gem is built to remember. Not everything you ever say. Just the conversations that matter to running your work, captured intentionally with a single press and connected over time, so your AI tools finally have the full picture instead of just the version you can type out from memory.
wow... this is something that I was looking for. But, the only concern for me is... i need to wear this instead of Apple Watch.
Memoket Gem
@henry_kwon1 Good news, Henry! We actually designed a strap specifically for this. It holds the Gem right underneath your Apple Watch, so you wear both on the same wrist. No need to choose. We heard this concern early on and made sure Apple Watch users wouldn't have to compromise
@edo_campos sounds perfect. and i would like to try this product.