CapybaraDB is a high-level database for AI applications that automates data management asynchronously. It is built on robust, proven technologies, including MongoDB, Pinecone, and AWS S3.
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Congrats on the launch!
Saw the demo video, very innovative product! It's easy to use and nice implementation of semantic search queries.
Sounds great! Signed up but the web UI seems to be non-functional. I got no project ID, create new collection gives an error - nothing else to do. Will check out the CLI next time
@erik_edhagen1 Hi, thanks for letting us know about this. Could you email me the details at tomo@capybaradb.co? If you don't have time, just let us know the email address you used for the sign-up. We'll make sure everything works properly.
@emeka1 Use references for that. If you need further assistance, feel free to email me.
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L̤̊🄾🄾🄺 𝗰ṳ̊𝘁🅔, 🄸 🅛𝗼🅥𝗲 𝘁𝗵🄸𝘀 𝐩𝗿𝐨🄳𝐮c̤̊𝐭
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CapybaraDB Beta is taking an innovative approach to simplifying semantic search implementation. Since its initial launch on January 25th, 2025, the platform has gained impressive traction, with its second launch ranking #2 for the day and #22 for the week, earning 307 upvotes in just three weeks.
Its core value proposition is clear: eliminating the complexity of AI-powered search by leveraging established technologies like MongoDB, Pinecone, and AWS S3 instead of reinventing the wheel. This makes it particularly appealing for developers who want to integrate semantic search without managing multiple services.
Key highlights:
✅ Built on proven technologies for reliability and scalability ✅ Automated asynchronous data management for seamless performance ✅ Free tier available to encourage adoption ✅ High-level abstraction to simplify AI-powered applications
The team—Tomo Kanazawa and Hardik—is iterating rapidly, with two launches in less than a month. For developers seeking an efficient, hassle-free way to integrate semantic search, CapybaraDB could be a major time-saver.
With its SaaS, AI, and Database focus, the platform is positioned at the crossroads of several fast-growing markets, making it one to watch. 🚀
@jeremy_maisse I assume you're referring to the debate between open source and closed source. We are considering open-sourcing our project, but since it's an irreversible and resource-intensive decision, we want to proceed cautiously. Our primary focus is on the developer experience—if open-sourcing enhances that, we'll move forward; if not, we won't.
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hello,How até tou? i watched the vídeo about the product and It rally is impressive and Very helful.Irealy liked It!Congratulation!
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Love that it’s built on solid tech like MongoDB and Pinecone, this will definitely streamline AI workflows.
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Congrats on the launch!
Saw the demo video, very innovative product! It's easy to use and nice implementation of semantic search queries.
Good work!
OneNode
@ash_grover Thanks! 😊
Looks really cool, congrats on the launch 🎉
OneNode
@aaaaartem Thanks!
Sounds great! Signed up but the web UI seems to be non-functional.
I got no project ID, create new collection gives an error - nothing else to do.
Will check out the CLI next time
OneNode
@erik_edhagen1 Hi, thanks for letting us know about this. Could you email me the details at tomo@capybaradb.co? If you don't have time, just let us know the email address you used for the sign-up. We'll make sure everything works properly.
OneNode
@emeka1 Use references for that. If you need further assistance, feel free to email me.
L̤̊🄾🄾🄺 𝗰ṳ̊𝘁🅔, 🄸 🅛𝗼🅥𝗲 𝘁𝗵🄸𝘀 𝐩𝗿𝐨🄳𝐮c̤̊𝐭
hey, so www.freaky-fonts.com works here, I recommend everyone to use these strange characters. They make the producthunt community seem more interesting.
Chance AI: Curiosity Lens
CapybaraDB Beta is taking an innovative approach to simplifying semantic search implementation. Since its initial launch on January 25th, 2025, the platform has gained impressive traction, with its second launch ranking #2 for the day and #22 for the week, earning 307 upvotes in just three weeks.
Its core value proposition is clear: eliminating the complexity of AI-powered search by leveraging established technologies like MongoDB, Pinecone, and AWS S3 instead of reinventing the wheel. This makes it particularly appealing for developers who want to integrate semantic search without managing multiple services.
Key highlights:
✅ Built on proven technologies for reliability and scalability
✅ Automated asynchronous data management for seamless performance
✅ Free tier available to encourage adoption
✅ High-level abstraction to simplify AI-powered applications
The team—Tomo Kanazawa and Hardik—is iterating rapidly, with two launches in less than a month. For developers seeking an efficient, hassle-free way to integrate semantic search, CapybaraDB could be a major time-saver.
With its SaaS, AI, and Database focus, the platform is positioned at the crossroads of several fast-growing markets, making it one to watch. 🚀
Odience
OneNode
@jeremy_maisse I assume you're referring to the debate between open source and closed source. We are considering open-sourcing our project, but since it's an irreversible and resource-intensive decision, we want to proceed cautiously. Our primary focus is on the developer experience—if open-sourcing enhances that, we'll move forward; if not, we won't.
Love that it’s built on solid tech like MongoDB and Pinecone, this will definitely streamline AI workflows.
Congrats on launching!