iamtherhino

Thanks for the feedback-- I can say emphatically, that's not our intention in the least. We chose a lightning bolt to evoke speed, i.e., the "hyper" in Hypermode. I've asked design to take another look at the "H" logo.

updated our python example too!

I haven't seen one yet-- no reason we couldn't do that with Hypermode. I'll do some exploration!

I really like this approach.

I think there's a big advantage to be had for folks brining "old school" ML approaches to LLMs. We've been spending a lot of time looking at the expert systems from the 90s.

Another one we've been looking at is applying some query planning approaches to these systems to see if we can pull responses from cache instead of invoking the model again.

Obviously there's a lot of complexity to identifying where we could apply some smaller ML models or cache-- but it's been a really fun exploration.

That's a good idea-- then give them a link to "replay last X inferences with model ABC" so they can do a quick eyeball eval.

We've been playing with that in the background. I can try to shoot you a preview in a few weeks. It works pretty well for reasoning tasks/NLP workloads but for workloads that need a "correct" answer, it's really tough to maintain accuracy when swapping models.

What we've seen most successful is making recommendations in the agent creation process for a given tool/workload and then leaving them somewhat static after creation.

Not at all! I'm updating the banner now

Signups are open: hypermode.com/sign-up

There's a waitlist for our prompt to agent product in the banner. That's a good call to update it to be more clear.

Hey! Co-founder of Hypermode here.

Agreed on swapping models for code-gen doesn't make sense. We're mostly indexed on GPT-4.1 for our AgentBuilder product. I haven't found it easy to move between models for code super effective.

The most popular use case we've seen from folks is on the iteration/experimentation phase of building an agent/tool. We made ModelRouter originally as an internal service for our "prompt to agent" product, where folks are trying a few dozen models/MCPs/tools/data/etc really quickly as they try to find a local maximum for some automation or job.

Hi Folks -- I'm one of the people who worked on this project along with the rest of Hypermode team. Happy to answer questions or hear your feedback!

Companies are starting with OpenAI, etc. to build version 1.0 of their apps then have to rewrite to use a smaller, more specialized model to improve outputs or improve costs.