Classic multiplayer games with real-time WebSocket sync. No login required; instant play with session-based IDs. Built with Next.js 16, Redis, and Pusher for sub-100ms state synchronization.
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Updated
Feb 16, 2026 - TypeScript
Classic multiplayer games with real-time WebSocket sync. No login required; instant play with session-based IDs. Built with Next.js 16, Redis, and Pusher for sub-100ms state synchronization.
A sleek PowerShell-based WebShell with a CloudShell-style UI, built for CTFs, learning, and authorized red teaming with session control, IP filtering, and secure deployment support.
An interactive terminal-based AI chat assistant powered by Google's Gemini 2.5 Flash API. A clean Python CLI implementation featuring environment configuration and session-based conversation memory.
A real-time 1-to-1 chat app built with Flutter and Redis, featuring session-based messaging, temporary in-memory storage, and automatic message deletion after session closure. Includes both frontend and backend implementation for fast, secure, and private communication.
Autonomous research agent with browser automation, grounded reports, screenshots, PDF export, persistent sessions, and a React + FastAPI interface.
A secure captcha implementation with dot-matrix font (anti-OCR), UID verification, and Vercel compatibility
Enduring Connection, Trustworthy Foundation, Personalized Experiences, Rewards and Coupons, Easy to maintain, Graph summary, custom report, Tiers and monthly target are main features of this WEB app.
Multi-source search CLI for LLM agents — web, HN, Reddit, GitHub, Tavily, Exa, Brave, Jina, YouTube, Twitter. Go single binary. Session-based workflow with JSON contract.
[Tutorial] - Applying Word2Vec technique to Recommendation System a.k.a Item2Vec a.k.a Prod2Vec
VALORA is a control layer for AI-assisted software development
Some common recommendation system baseline, with description and link.
Generative model for sequential recommendation based on Convolution Neural Networks (CNN))
🛍 A real-world e-commerce dataset for session-based recommender systems research.
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