{"repo":"VecterAI/reacher-x","free":true,"listed":false,"github":"https://github.com/VecterAI/reacher-x","clone":"git clone https://github.com/VecterAI/reacher-x.git","description":"Open-source △ Agent that works 24/7 across X/Twitter and LinkedIn to find, qualify, enrich, and help you reach the right people. Think Cursor for finding and reaching your audience.","language":"TypeScript","stars":12,"topics":["linkedin","social-media","social-network","twitter","audience-targeting","crm","go-to-market","hiring-platform","lead-generation","palantir-inspired"],"license":"Apache-2.0","category":"dashboards-admin","readme_excerpt":"🆁 ReacherX Open-source △ Agent that helps anyone find the right people and reach them across X/Twitter and LinkedIn, with more channels and actions expanding over time. Live site · Configuration · Contributing · Roadmap · GitHub Issues · Discord · Email Salman Built with Convex ReacherX is part of the Convex for Open Source program. The product backend runs on Convex. Video Demo GitHub does not embed YouTube players in repository READMEs, so the demo is linked through a clickable preview instead. Watch the demo on YouTube What ReacherX Does ReacherX is built for anyone, not just specialists or teams with complex GTM setups. You describe who you need, ReacherX finds matching people, builds context around them, and helps you take action through the product UI or by asking the agent directly. The goal is simple: make finding and reaching the right people feel accessible, useful, and powerful without requiring special knowledge or experience. How It Works The product story here follows the same flow as the /home landing experience: 1. Describe who you need in plain English. 2. ReacherX turns that into search and discovery strategies. 3. The agent gathers context, signals, and proof behind each match. 4. ReacherX proposes next actions and drafts content, including image, GIF, and video attachments. 5. You stay in control and approve important actions. 6. The system improves over time through feedback, memory, and evaluations. Why It Feels Different - Real people, found from real ","default_branch":null,"files":null,"tree":[],"storefront":"/r/VecterAI","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/VecterAI/reacher-x/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."}