Run concurrent LLM prompts at once — across different models — in a single API call.

Why settle for one linear chat when you can explore a whole decision tree in parallel?

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👋 Hey Product Hunt!

I’m a solo builder, and I often use this pattern in my data science work — running scenarios in parallel to compare outcomes. It proved so useful in other projects beyond data science that I decided to formalize it into an API. That’s how Tensorchat was born.

With tensor prompting, you can branch perspectives, test “what if” scenarios, and compare reasoning styles instantly. It’ll even generate alternative code solutions side by side. Think of it as the ultimate API for multi-branching AI reasoning.

Why it’s powerful:

One API call → Many prompts → Mixed models
Run prompts in parallel (speed + diversity)
Mix-and-match (Claude Sonnet 4, GPT-5, Qwen 3, Deepseek, etc.) per prompt
More angles → better decisions, richer ideas, sharper creativity

Perfect for:

Developers exploring multiple code paths at once
Researchers stress-testing scenarios in parallel
Founders validating market ideas side by side
Creatives branching narratives instantly
Anyone creating document templates
and more...

You can try it right now in the Playground — before diving into the API.

I’d love your feedback, your wildest use cases, and the most chaotic prompts you’d throw at it 💡.

(Because let’s be real — linear chats are fine for mortals, but parallel reasoning is how you actually get ahead)

Tensorchat API - Concurrent LLM prompt executions, up to 20x faster!

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