{"repo":"sahibzada-allahyar/YC-Killer","free":true,"listed":false,"github":"https://github.com/sahibzada-allahyar/YC-Killer","clone":"git clone https://github.com/sahibzada-allahyar/YC-Killer.git","description":"A library of enterprise-grade AI agents designed to democratize artificial intelligence and provide free, open-source alternatives to overvalued Y Combinator startups.","language":"TypeScript","stars":2777,"topics":["physics","lean","proof-assistant","wolfram-alpha","bayesian-inference","quantum","cosmology","astrophysics","reinforcement-learning","reproducibility"],"license":null,"category":"machine-learning","readme_excerpt":"YC Killer A personal open-source library of enterprise-grade AI agents designed to democratize artificial intelligence and provide free alternatives to overvalued Y Combinator startups. The goal is to make advanced AI technology accessible to everyone, not just well-funded companies. Our Mission We believe AI access is a human right. While Y Combinator companies build simple GPT wrappers and raise millions in funding, we're creating sophisticated, production-ready AI solutions and making them freely available to everyone. Our goal is to accelerate technologies that save humanity and make advanced AI accessible to all. The Agents 1. Agentic Deep Research An open source version of OpenAI's Deep Research. Provides comprehensive research capabilities: - Recursive exploration with configurable breadth and depth - Parallel processing with intelligent rate limiting - AI-powered analysis and insight extraction - Real-time progress tracking - Comprehensive markdown reports with citations - Docker support for easy deployment 2. Agentic Quant Hedge Fund Fully autonomous Hedge Fund run end-to-end entirely by AI agents. A complete, production-ready agentic quantitative trading system: - Strategy Ideation Agent : Generates market-neutral trading ideas based on behavioral finance principles - Alpha Engineering Agent : Converts high-level ideas into executable mathematical expressions - Automated Feature Engineering : Compiles trading signals using NumPy+Numba for maximum performance - High-","default_branch":null,"files":null,"tree":[],"storefront":"/r/sahibzada-allahyar","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/sahibzada-allahyar/YC-Killer/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}