67 Interest Score
11 Discussions
0.16 Engagement
Feb 2025 Launched

Metabrain is a platform for founders that combines your insights and context with an AI cofounder. Upload files, chat with your cofounder, teach new skills, and create realistic business simulations to make informed decisions.

What the Community Said

πŸ‘‹ Hello everyone, I'm Luis, co-founder of Metabrain. Before building Metabrain, we spent years exploring how to make AI more accessible to founders looking to take their startups to the next level. Today, we’re thrilled to launch Metabrain: your AI Startup OS. We created Metabrain after noticing that many entrepreneurs need an intuitive, contextual assistant that can adapt to their unique needs. With Metabrain, you can upload files, teach your AI new skills, and create realistic business simulat

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Metabrain looks like an incredible tool for founders looking to leverage AI as a co-founder. The ability to upload files, chat with your AI co-founder, teach it new skills, and simulate realistic business scenarios is truly innovative. It has the potential to be a game-changer for decision-making in startups. However, I did notice that some of the menu options (Pricing, For Business, Docs) seem to be non-functional. This might indicate that the product could have been launched without thorough t

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I love the concept of having an AI co-founder! But how can I trust the AI's suggestions? I've tried AI tools before, and sometimes the advice isn't aligned with my needs PS: Using AI for music project

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Gran trabajo, Se le ve gran futuro

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This helped me a lot with my startup and we are doing very well with this AI.

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Frequently Asked Questions

A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.

Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.

The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.

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