Feel free to play with Jev here https://t.co/e36Tx1HOYK Source: https://t.co/jhhVZ89cd0 https://
@drewpb123 @chesscom Feel free to play with Jev here https://t.co/e36Tx1HOYK Source: https://t.co/jhhVZ89cd0 https://t.co/l85m3q8N4l
X posts with a real build, demo, or project link. Jev classifies and ranks once. Every row keeps the original media, stats, and a link back to X.
Shipped Jev builds from X. Newest first.
@drewpb123 @chesscom Feel free to play with Jev here https://t.co/e36Tx1HOYK Source: https://t.co/jhhVZ89cd0 https://t.co/l85m3q8N4l
@typesafeai @CompleteSkeptic @dabit3 @rileybrown @jackcheng @tamarajtran P.S. I will test Jev hard all week. I will share all learnings here. Build with these models on brewkeg and save 60% on AI model spend. Top up once
@MiaAI_lab Would love to see any results from your findings! As an experiment, could Jev help quickly compact small context windows like: https://t.co/L3O4WPEJMJ
5/ The early usage is already interesting. One developer reported roughly 5,000 requests for about $2 across classification, routing, intent, and steering. A browser agent built with Jev pulled 1.8M views in a day.
Show HN is up if you want the boring production layer around Jev: policy + confidence gate + shadow + recipes + action-level evals Measured on our machine: Claude CLI 48.9s → Jev+harness 1.3s on the same 24-row NL filter