
Mainder is an AI-powered recruiting platform that lets companies describe a role in plain language and have AI agents find, contact, and evaluate candidates across LinkedIn, GitHub, X, and the open web. The platform automates the full sourcing-to-shortlist workflow, including multi-channel outreach and candidate scoring, while enriching profiles with up-to-date contact information. It also offers Mainder Connect, a shared candidate pool that expands talent reach across participating companies and agencies.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional recruiting and sourcing tools rely on single databases or platforms, limiting the talent pool and forcing recruiters to manually search across multiple sites. Candidate profiles are often incomplete or outdated, and outreach requires separate tools that carry account-ban risks or lack compliance features.
Solution
Mainder provides an AI-driven recruiting platform where users describe a candidate profile in natural language and AI agents automatically search, contact, and evaluate candidates across a multi-source ecosystem including LinkedIn, GitHub, X, Instagram, and the open web. The platform automates the entire sourcing-to-shortlist workflow, including personalized multi-channel outreach via LinkedIn, email, and WhatsApp, with every reply scored automatically. Candidate profiles are enriched with up-to-date contact details and refreshed continuously, and all data is processed on European infrastructure with GDPR compliance. Mainder Connect further expands reach by enabling access to a shared candidate pool across partner companies and agencies, with permission-based controls over what is shared.
Target Audience
Primary customers are recruitment agencies, in-house HR teams, and lean SaaS companies that need to scale hiring without expanding recruiter headcount or relying on expensive LinkedIn Recruiter seats.
Features
- Natural language search that converts plain-language role descriptions into structured search criteria
- Multi-source candidate discovery across professional networks, GitHub, X, Instagram, and the open web
- Automated multi-channel outreach via LinkedIn, email, and WhatsApp with built-in reply scoring
- Continuous profile enrichment that refreshes contact details and experience data for both new and existing database records
- AI-powered candidate scoring and pipeline management to prioritize the best matches
- Mainder Connect shared candidate pool with granular, permission-based sharing controls across partner organizations
- GDPR and LOPDGDD compliant data processing on European infrastructure, with candidate data never used for model training