FeedHire
Discover hidden tech jobs before they go public
FeedHire Overview
FeedHire is an AI-powered job discovery platform that surfaces hidden tech opportunities from unconventional sources like LinkedIn comments, Twitter threads, Reddit posts, and GitHub discussions. Unlike traditional job boards, FeedHire finds jobs posted in real-time across social platforms where companies first announce their hiring needs. The platform serves tech professionals looking for high-paying roles with less competition, offering AI-curated matches, real-time alerts, and valuable interview insights from successful candidates. With over 2,400+ jobs discovered from 150+ companies, FeedHire gives users first-mover advantage in the job market by finding opportunities before they're officially posted on career sites.
FeedHire Screenshot
FeedHire Official screenshot of the tool interface
FeedHire Core Features
Real-time Hidden Job Discovery
FeedHire's AI continuously scans thousands of platforms including LinkedIn comments, Twitter founder threads, GitHub issues, and Reddit communities to surface fresh job postings within hours of being shared. Unlike job boards that show stale listings, our system identifies opportunities when they first appear, giving users a critical time advantage. Recent stats show 2,847 jobs found in LinkedIn comments and 1,923 in Twitter threads just this week.
AI-Powered Job Matching
Our intelligent matching system analyzes your skills, experience, and preferences to recommend perfect-fit opportunities. The AI considers factors like tech stack compatibility, salary expectations, and remote preferences to deliver matches with 85-98% accuracy. Users receive personalized insights like 'Learn GraphQL to increase matches by 34%' and salary benchmarks based on their profile.
Proven Job Discovery Strategies
FeedHire provides battle-tested techniques for finding hidden opportunities, including LinkedIn comment mining (127 developer positions found in Q1 2025), Twitter founder tracking (85% of founders post jobs on Twitter first), and GitHub jobs archaeology (230+ engineering roles found in open source projects). Each strategy comes with real success stories and exact search queries you can use.
Interview Experience Library
Access first-hand accounts from professionals who landed roles through hidden channels, including detailed breakdowns of interview processes, questions asked, compensation details, and pro tips. Examples include a Google L5 Software Engineer's $280K offer process (4 onsite rounds) and a YC startup's unique culture-fit interview approach.
Job Tracking Dashboard
Manage applications with a Kanban-style board that tracks progress from Viewed to Selected. The dashboard automatically saves your progress, provides success rate metrics, and lets you manually add opportunities from any source. Features include drag-and-drop status updates and custom job entry for complete application management.
FeedHire Use Cases
Senior Developer Seeking Higher Compensation
A React expert frustrated with traditional job boards uses FeedHire to find a $180K remote role posted in a LinkedIn comment thread by a Series B startup's CTO. By applying within hours of discovery (before the job was officially posted), they secured interviews with 3x less competition than the public listing later received.
Startup Founder Hiring Niche Talent
A YC founder posts about needing a specialized AI/ML engineer in a Twitter thread. FeedHire surfaces this to qualified candidates within 5 hours, resulting in the founder discovering a perfect-fit hire through direct messages before needing to engage expensive recruiters.
Career Changer Building Portfolio
An aspiring DevOps engineer contributes to open source projects and gets noticed through GitHub comments surfaced by FeedHire. They land a $175K fintech role after their Kubernetes troubleshooting solution in a public issue thread caught the hiring manager's attention.
How to Use FeedHire
Sign up with your Google account to create a profile. The system will prompt you to input your skills, preferred job types (remote, hybrid, etc.), tech stack expertise, and salary expectations to establish your matching criteria.
Browse the live job feed showing recently discovered opportunities. Filter by role type, tech stack, or salary range. Each listing shows the original source (e.g., 'LinkedIn comment by CTO at TechCorp') and how recently it was found (e.g., '2 hours ago').
Use the AI matching system to get personalized recommendations. The algorithm analyzes your profile against incoming opportunities and surfaces the best matches with compatibility percentages (e.g., 'Senior React Developer - 98% Match').
Research interview experiences for target companies. Our library provides detailed breakdowns of interview processes from real candidates, including question types, compensation details, and insider tips for success.
Track applications using the job dashboard. Organize opportunities into columns (Viewed, Applied, Interview, etc.), monitor your success metrics, and receive alerts when new matching jobs are discovered.