We were burning $400/mo on 5 different AI API bills. So we built a single router to slash costs by 70%.
Hey IH community,
Like many of you here, I’ve been heavily building AI-driven features for my SaaS recently. But last month, when looking at our OpenAI, Anthropic, and various LLM billing dashboards, I realized a harsh truth: Multi-provider API bills are killing bootstrapped startups. Not only is it a nightmare to manage 5 different API keys and billing systems, but the cost of running agents with heavy context windows is getting out of hand.
Also, with the recent 2026 global AI price drops and the explosive performance of Chinese frontier models (like DeepSeek, Qwen 2.5, and Ernie), many developers are missing out on massive cost savings simply because integrating these regional APIs is too frictionless-heavy.
So, instead of complaining, we built a solution for ourselves and decided to open it up for all indie hackers: PandasRouter.
It’s a unified AI API proxy designed specifically for solo founders and small teams who want to build globally but optimize costs like a pro.
🚀 Why we built this (And how it helps your product):
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Zero-Friction Access to ALL Chinese Frontier Models:
Models like DeepSeek-V2 and Qwen have topped the open-source leaderboards this year, offering GPT-4o level coding and reasoning at a fraction of the price. But setting up accounts with multiple Chinese cloud providers is a compliance and payment nightmare for global devs. With PandasRouter, you can call any Chinese model seamlessly alongside western models using one unified API. -
Dirt Cheap & Cost-Optimized:
We aggregates massive volume to get wholesale pricing, passing 100% of the savings back to you. No monthly subscriptions, no enterprise markups. You pay strictly for what you use, making your AI wrappers highly profitable from Day 1. -
Stop Re-writing Your Routing Code:
One API key, one SDK, unlimited possibilities. If Claude goes down or OpenAI changes its pricing, you can switch your backend model in seconds without redeploying your code.
🎁 Build in Public Special: Free Tokens to Test
We just launched this week and we want real feedback from the IH community.
We are not asking for your credit card. Every new account gets free tokens immediately upon registration to test the latency, uptime, and model responses.
Check it out here:👉 pandasrouter.com
I'd love to know: How are you currently handling your multi-model architecture? Are you bottlenecked by API costs, or is it the integration hassle that bugs you the most?
Let’s chat in the comments! 👇
Nice, we went the same direction - routing by task type cut our bills a lot too. How do you handle the quality tradeoff when the cheap model makes a mess?
We are solving a similar problem with Tokens Forge, and the biggest lesson so far is that the hard part is not only “one API key for many models”. It is making routing explainable enough that a founder can trust the bill.
The pieces I would want in any multi-model setup are:
The integration hassle is real, but the cost surprises usually come later from retries, hidden fallback behavior, and users accidentally sending deep tasks through expensive routes. If the router can make those visible, it becomes much more than a proxy.