Tokenized Stock Selection Model
The Jev model selects tokenized stocks based on user input, focusing on specific sectors. Currently being developed for Open House in Singapore.
added by @NikolaiLeb
View similar
Ranked from stored criteria vectors. No live classification on this page.
Chrome Extension for Real-Time Malicious Address Detection
Jevscan is a Chrome extension that detects malicious addresses and transactions on Etherscan in real-time, utilizing Jev from Typesafe AI.
Asset Allocation Calculator Built with Claude Code
This Asset Allocation Calculator was developed using Claude Code and AstroJS, and is deployed on Cloudflare. Feedback on its functionality and improvements is welcomed.
Browser Extension to Identify Scams
This project is a browser extension that utilizes the jev API to identify scams. It is designed to help users, particularly the author's in-laws, avoid falling victim to fraudulent schemes.
Chrome Extension for Skipping YouTube Sponsor Segments
This Chrome extension listens to YouTube audio and detects sponsor segments to skip them in real-time. It is a prototype project that costs approximately $0.005 per video and is open-source.
Responsive Web App for Downloading Pinterest Images
This web app allows users to download all images from a Pinterest board into a single ZIP file. It features a kawaii-inspired character that adds personality to the downloading process.
AI Front Door to Federal Websites
The US launched America(.gov), an AI front door to 29,000 federal websites. A similar tool has been developed for Canadians, allowing inquiries in plain English or French.