Hi Product Hunt! 👋 Yuvraj Yadav here. My co-founder and I are super excited to launch Mwoosh today! We built Mwoosh because managing multiple AI models got way too complex and expensive. We wanted a simpler, smarter, and cheaper way to access top-tier intelligence without bleeding money on raw API calls. Mwoosh is a next-gen AI router connecting you to 100+ models (OpenAI, Claude, DeepSeek, and more) with up to 43% lower costs. How we make it happen: • MwooshDome: Automates prompt optimization for a +3.7% performance boost with virtually zero context loss (just 0.03% across 100k test prompts). • Fabric: An advanced caching system using standard, semantic, and partial caching to eliminate redundant calls. • Per-Request Pricing: Stop counting tokens—pay a flat rate per request on supported models. We also packed in full observability and instant budget controls so you never hit surprise bills. Check it out, test it out, and let us know your feedback below!

Forum Threads

p/mwoosh

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10d ago

How are you managing multi-LLM workflows without blowing your API budget?

Managing multi-LLM workflows is getting painful.

Most developers we talk to run into two main walls:

Skyrocketing API bills from unoptimized prompts and repetitive context payloads.
Latency delays from context-heavy calls across OpenAI, Claude, and DeepSeek.

We recently launched @mwoosh_router to tackle this head-on. Here is what builders actually get out of it:

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MWOOSH

Route 100+ AI models. Optimized and ~43% cheaper

Route 100+ AI models. Optimized and ~43% cheaper

Forum Threads

How are you managing multi-LLM workflows without blowing your API budget?

Forum Threads

How are you managing multi-LLM workflows without blowing your API budget?