Gems
Get ready-to-use answers from all your knowledge.
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Björn

Gems - Connect your knowledge from Notion, Google, Microsoft & co

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Gems
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Gems is your personal AI knowledge assistant that answers all your questions based on information it has from all your favorite tools like Notion, Gmail etc.– and now you can chat with it 💬

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Björn
Gems
Maker
📌
Gems is your personal AI knowledge assistant that answers all your questions based on information it has from all your favorite tools like Notion, Gmail etc.– and NOW you can chat with it. It's like a version of ChatGPT that really knows you really well 💬 💫 +++ Find things faster +++ Find emails, documents and files super fast. +++ Synthesize knowledge +++ Let Gems draft texts for you based on your personal knowledge and context. +++ Better memory +++ Remember and get context on things that happened in the past. Try it for free at https://gems.so and let me know what you think :) Cheers and best, Björn
Felix S
@bjorn_gustavson keeps delivering 🔥
Jonas Gudmunsson
@bjorn_gustavson Daamn Bjorn!
Cain R
Tyles
@bjorn_gustavson best of luck 🚀
Björn
Gems
Maker
@icain Much appreciated Cain!
Björn
Gems
Maker
@jonasgud Daaaamn Jonas 🍻
Paul Gorval
Scade.pro
Hi Björn, Gems sounds like the assistant we've all been dreaming of! Love how it taps into multiple tools to provide a personalized response. I'm particularly intrigued by the 'synthesize knowledge' feature - how does it handle complex contextual scenarios?
Chengetai Gwiza
this tool has a way of making things easier, especially to the people on a job hunt
Björn
Gems
Maker
@chengetai_gwiza Interesting. Would love to learn more about that use case!
Andreas Hjarksson
Looks exciting! Downloading now ... 🔥
Björn
Gems
Maker
Jeremy Bell
Mayday
Sounds super interesting — how are you handling data privacy between the various services?
Björn
Gems
Maker
@jeremybell We store vector embeddings of user's text snippets in a service called Pinecone which uses cloud best practices.
Tom Etminan
clip.audio
@bjorn_gustavson concretely how are embeddings generated then retrieved in a privacy preserving way? For example are you embedding user data on device, storing only vectors on pinecone & then retrieving the original based on a pointer to the local data - or are you sending the unencrypted data to the cloud, embedding there & then storing both the embedded vector + original data & returning that into the LLM? If I connect my Gmail for example, would like to know exactly how all those emails are processed, stored & who might have access to view the original data contained within them.
André J
DiffSense
State of the art in this space right now!
Björn
Gems
Maker
@sentry_co much appreciated 🚀
Rami
Go Mail Merge
That's a lot of data sources!
Björn
Gems
Maker
@kingromstar And it was lots of work 😝
Daniel Feles
MindOne
very cool product!
Björn
Gems
Maker
@dfeles thank you Daniel!
Ellson Chen
Union Apartment
TBH I really hope this one makes it. I've been spending too much time on closing/opening tabs across exactly Notion, Gmail, Calendar and chats.
Björn
Gems
Maker
@ellson_chen thanks a lot! Looking forward to your feedback :)
Genki Daido
Morph
So cool product!!
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