IQ Routing is a drop-in gateway. We classify each request, serve from cache, and route to the cheapest model that clears the quality bar and completes the task. The insight others miss: an agent is a trajectory, not a stream of independent calls. We route each step based on where it sits in the run: a cheap model on boilerplate, the strongest model on what matters.
Hi Product Hunt. I'm George, and I built IQ Routing solo.
The idea started from a problem I kept seeing in my own AI-agent usage: agent runs can get expensive fast, and a lot of that spend is hard to justify.
Most routing tools treat an agent run like a pile of separate requests. They look at each request on its own and try to make that single request cheaper or faster. But that misses how agents actually work.
An agent run is one flow from start to finish. Some steps are busywork. Some steps are context-building. A few steps are the decisions that determine whether the final result is good or bad. Paying for the strongest model on every step is wasteful. Using a weaker model everywhere is risky. The right answer is to spend more only where the work actually needs it.
That is what IQ Routing does. It sits between your agent tools and model providers, looks at each step in the run, and picks the cheapest model that can still do that step well. It also reuses work it has seen before, so you are not paying repeatedly for answers the system already knows.
The setup is meant to be boring in a good way: point your existing tool at IQ, keep your code the same, and keep working. IQ works today with Claude Code, Codex, and other popular apps
This is the launch. Try it, break it, and tell me where the routing feels wrong. I read every reply.
Does the cache reuse cross runs? That is the piece I can't place under your own trajectory framing. If it does, a step gets handed an answer produced under a different set of earlier steps, so a request that reads identically can sit at a very different point in the run.
Haven't tried it yet so this may well be handled. It's the first thing I'd look for in the docs.
About IQ Routing on Product Hunt
“Trajectory-aware LLM routing that cuts agent cost”
IQ Routing launched on Product Hunt on August 27th, 2026 and earned 100 upvotes and 6 comments, placing #19 on the daily leaderboard. IQ Routing is a drop-in gateway. We classify each request, serve from cache, and route to the cheapest model that clears the quality bar and completes the task. The insight others miss: an agent is a trajectory, not a stream of independent calls. We route each step based on where it sits in the run: a cheap model on boilerplate, the strongest model on what matters.
IQ Routing was featured in Developer Tools (518.5k followers) and Artificial Intelligence (477.4k followers) on Product Hunt. Together, these topics include over 199.4k products, making this a competitive space to launch in.
Who hunted IQ Routing?
IQ Routing was hunted by George Avila. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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George Avila