LeetResumes
Professional, ATS-optimized resumes written by experts for free.
The AI-driven career agent for personalized job search automation and salary optimization.
Placement is a comprehensive AI-powered career management platform that serves as a personal 'talent agent' for job seekers. In the 2026 labor market, Placement has evolved into a predictive career ecosystem that utilizes large language models (LLMs) and real-time market data to automate the most taxing elements of a job search. The platform’s technical architecture centers on a proprietary 'Career Graph' that maps individual skill sets against live market demand to suggest high-probability pivots and salary trajectories. Unlike traditional job boards, Placement provides end-to-end infrastructure for job seekers, including deep-scan resume tailoring, automated outreach to hiring managers, and AI-simulated interview environments. Its 2026 market position is defined by its ability to act as a data-driven intermediary, reducing the time-to-hire by leveraging automation to bypass standard applicant tracking system (ATS) filters through optimized content and strategic networking suggestions. The platform integrates seamlessly into browser environments to track applications across thousands of job portals, consolidating the hunt into a single operational dashboard.
Uses NLP to analyze job descriptions and programmatically adjust resume keywords and bullet points to maximize ATS scores.
Professional, ATS-optimized resumes written by experts for free.
AI-Driven Professional Resume Engineering and ATS Optimization for Global Career Success.
AI-Driven Career Intelligence for ATS-Optimized Resume Engineering.
Architecting interview-winning resumes through AI-driven reverse engineering and verified role-specific samples.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A browser-integrated kanban system that scrapes job data from any site and centralizes it into a proprietary CRM.
Aggregates verified salary data and uses predictive modeling to estimate the 'negotiation ceiling' for specific roles.
Identifies mutual connections and key stakeholders within target companies and generates tailored outreach templates.
LLM-driven mock interviews that provide instant sentiment analysis and technical feedback on user responses.
Compares user profile against 10,000+ job descriptions to identify missing technical certifications or soft skills.
RPA (Robotic Process Automation) layer that injects user data into complex application forms automatically.
Identifying transferable skills for a move from Marketing to Product Management.
Registry Updated:2/7/2026
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Managing 50+ active job applications across different platforms.
Receiving a job offer but lacking data to ask for a higher base salary.