Very cool. Does your gateway decide effort levels as well? Or just models?
Show HN: We built open OpenRouter that turns usage into a better model
21–30 of 50 posts
Re: Show HN: We built open OpenRouter that turns usage into a better model
#22Re: Show HN: We built open OpenRouter that turns usage into a better model
#23Re: Show HN: We built open OpenRouter that turns usage into a better model
#24what's the business model here. How does experiential labs make money
Look at the Intelligence features in the Enterprise plan:
* Per-prompt model optimization
* Caching
* A model you own, trained on your traffic
Re: Show HN: We built open OpenRouter that turns usage into a better model
#25What online signal recalibrates simulated rankings against actual task success? Also do you have a plan to support semantic caching at the router level?
Re: Show HN: We built open OpenRouter that turns usage into a better model
#26what's the business model here. How does experiential labs make money
They make money on enterprise plans: https://www.experientiallabs.ai/pricing#enterprise Look at the Intelligence features in the Enterprise plan: * Per-prompt model optimization * Caching * A model you own, trained on your traffic
Re: Show HN: We built open OpenRouter that turns usage into a better model
#27Re: Show HN: We built open OpenRouter that turns usage into a better model
#28You started it a week ago? I look forward to checking back in 3 weeks when you've exited for $1B
So, two months. Still impressive!
Re: Show HN: We built open OpenRouter that turns usage into a better model
#29Could you say more about how caching works? One major advantage of sticking with a single model is saving money on cached input tokens. I'd imagine if you swap between a bunch of models, you may improve performance but cost would would balloon out of control
Re: Show HN: We built open OpenRouter that turns usage into a better model
#30You started it a week ago? I look forward to checking back in 3 weeks when you've exited for $1B
Looks like first PR is June 24th: https://github.com/experientiallabs/experiential/pull/1 So, two months. Still impressive!
unfortunately a small team can reproduce it in two months, which greatly lowers value of it.
we, as a collective, have to change our value-judging logic and tune it to post AI world.