What is REC;LESS?
REC;LESS revolutionizes the recruitment process by creating a community-driven platform that connects job seekers, recruiters, and hiring companies through peer referrals. The platform emphasizes passive talent acquisition and provides opportunities for users to earn from their professional networks, with recruiters earning up to 97% commission on successful placements.
The platform stands out by offering unique features such as compensation for rejected applications, community voting for candidate matches, and the ability to engage with talent before positions are officially posted. It focuses on creating meaningful connections while allowing users to monetize their professional networks effectively.
Features
- Referral Earnings: Up to 97% commission on successful placements
- Rejection Compensation: Up to £20 compensation for rejected applications
- Passive Talent Pipeline: Engage with potential candidates before job postings
- Community Voting: Peer validation of candidate matches
- AI Assistant: CapyGPT personal recruiter support
- Network Monetization: Earn 10-36% when friends find or post jobs
Use Cases
- Recruiters seeking to monetize their professional network
- Job seekers looking for referred positions
- Companies wanting to build talent pipelines
- Professionals seeking passive job opportunities
- Hiring managers looking to tap into recruiter networks
FAQs
-
How much can I earn from referrals?
You can earn up to 97% commission on successful placements, and 10-36% when friends find or post jobs. -
What happens if my application gets rejected?
You can receive compensation of up to £20 even if your application is rejected. -
Is there a cost to use the platform?
The platform is free to use, with no upfront costs required. -
How does the community voting system work?
Community members can vote on candidate matches, providing peer validation for job fits.
Related Queries
Helpful for people in the following professions
REC;LESS Uptime Monitor
Average Uptime
98.81%
Average Response Time
2438.83 ms
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