we're in @ycombinator building a credit card
we give enterprise deals without enterprise commitments by partnering with AI infra providers
request a credit card: ernd.ai
Last week, @wafer_ai served 12.4 trillion tokens on OpenRouter, more than any other independent open-weight inference provider. They’re also the lowest-latency provider of DeepSeek V4 Pro, with a 0.27-second TTFT.
We’ve partnered with Wafer, and starting today, ernd cardholders get 10% back on Wafer inference paid with the card.
Get an API key at wafer.ai
And an ernd card for your business at ernd.ai
2/3rds of the way through batch and this has been one of the best experiences of my life.
met the most motivated + talented ppl. everyone has their thing and u learn so much by listening to them.
application is due tn. cant recommend it enough
we're launching @ernd_ai in @ycombinator's F26 batch
When we tried to get GPUs earlier in the batch, we were met with terrible deals or no capacity because we didn’t have enough size. Providers save their best pricing, limits and capacity for their biggest customers.
So, we go to providers on behalf of everyone on the card. By paying with ernd, you get access to better rates and top-tier perks. Priority GPUs and inference are on the way!
the autonomous Al hedge funds are pure theater
esp since the benches for financial reasoning is just homework.
the moment you give models a live execution book, they gamble or break
we ran 5 models on a $10M book for 2 months:
stitchlabs.ai/benchmarks/ter…
yc pivot panel today:
one of yc's biggest devtools companies came in doing imessage feedback for tide pods before building a code review empire.
founders treats their batch thesis as sacred but speed to killing a dead v1 is a huge part of the game
we used stitch + jev to make an agent time machine
jev watches every token and decides when to checkpoint
stitch stores KV cache at each location
we can rewind, branch, and explore a different path without prefilling the saved context
