$evo is effectively building a smart version of @OpenRouter
one that learns from your actual repo and helps route your prompts to the cheapest suitable option
30-60% savings reported by real teams/users
Quickly becoming one of the best tokens launched on @bankrbot
for reference, stripe is rumoured to be acquiring open router for 10b.
Introducing EVO Router - a smart router that continuously optimizes and hill-climbs on your AI inference workloads.
It learns from your code, prompts, production traffic, use cases, and SLAs, then searches for the best setup for every workload.
That can mean more than choosing just a single model or routing through a classifier. @EVO__HQ can optimize across model × provider combinations, fusion systems, cascades, routing policies, and prompts — whatever the workload allows, while staying within your quality, latency, and reliability constraints.
As open-source models move closer to frontier-model performance, we believe this kind of workload-specific hill-climbing will become an important part of how AI systems are deployed and operated.
Our early users have seen 30–60% lower inference costs across use cases ranging from complex multi-turn agents to asynchronous batch workloads.
EVO Router has also reached the Pareto frontier on several benchmarks, outperforming existing setups on cost, quality, or both.
always great to hear folks making good use of @evo__hq's autoresearch engine
T - 48 hours untill we launch the next iteration that the team has been working on, putting to use all the learnings from our users
More than 8000 Robinhood runners have been analyzed
I pulled their entire transaction history to find patterns in wallets that can be classified as Cabal, insiders.
So far we have identified 70 insider groups.
Average entry ranging from 5k - 20k for coins that ran to multi millions.
Same wallets, same entry patterns, different coins.
The entire build will be live on https://t.co/RvwoR7rtUY in couple of hours!