I like the idea of having multiple AI models available in one workspace instead of constantly switching between different tools. The shared memory is especially useful because it helps keep conversations, files, and context connected across the workflow. The interface also feels clean and straightforward, which makes it easy to get started without having to manage several separate AI tools.
What needs improvement
Since the product is still relatively new, I would like to see more customization around how different AI models are selected and used for specific tasks. More integrations and additional ways to organize and manage shared knowledge would also make the workspace even more powerful as the platform grows.
vs Alternatives
I considered using individual AI platforms separately, but that usually means switching between different interfaces and losing context along the way. MetriQ AI is interesting because it brings those workflows together in one place while keeping the relevant conversations and knowledge connected.
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Maker
📌
Hey everyone! I’m Parsa, co-founder of MetriQ AI.
We built MetriQ because constantly switching between different AI tools meant losing context, conversations, and workflow.
MetriQ brings them together in one workspace with shared memory.
We’re still early, so I’d genuinely love to hear what you think, what feels useful, and what you’d change. Thanks for checking it out!
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@parsa_dehghani The interface looks clean and focused. Curious to see how work flow feels in real world use ?
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Maker
@dipanshu_kushwaha5 Thank you! That’s exactly what we’re building for. We’d love for you to try it out and see how the workflow feels in real-world use. Would love to hear your feedback!
@parsa_dehghani The interface looks clean and focused. Curious to see how work flow feels in real world use ?
@dipanshu_kushwaha5 Thank you! That’s exactly what we’re building for. We’d love for you to try it out and see how the workflow feels in real-world use. Would love to hear your feedback!