The AI emoji picker was initially built using Jev, which required extensive input tokens due to the entire emoji catalog. It was later refactored to a vector index on Upstash, significantly reducing costs.
added by @steventey
Ranked from stored criteria vectors. No live classification on this page.
This week, a field production app was deployed for a West Texas operator, and a bug in the well valuation model was fixed. Additionally, a guide to Claude Code was created for a young learner, and a trading bot was rebuilt with new features.
This tool flags AI-generated replies on X by analyzing common writing signals. It provides instant probability assessments for each reply through a Chrome extension.
The author shares their experience of shipping Dark Mode for Opik in under a day, highlighting the need for three iterations before reaching a merge-ready state.
Access the code, prompts, and run records for results recomputation built on DeepSeek Harness and Jev. Feedback and questions are encouraged.
This Chrome extension allows users to create their own X algorithm to filter out engagement bait, empty hooks, and ads. It utilizes Jev by @typesafeai to check posts quickly.
TypeSafe AI's Jev model has been integrated into a system layer, providing clean, typed decisions from unstructured state in under 500ms. This integration enhances backend processes by scoring and filtering context efficiently.