HRTech Hard 3,800/mo

AI Candidate Sourcing Assistant

AI scans LinkedIn, GitHub, Stack Overflow, and personal portfolios to find passive candidates matching your requirements. Get ranked candidate lists with contact info and personalized outreach messages.

AISourcing
MRR Potential
$15K–$60K
Time to MVP
10–14 weeks
Search Volume
3,800/mo
Market Size
$3.6B

The Problem

Recruiters spend 13 hours per hire sourcing. LinkedIn Recruiter costs $800+/mo and still requires manual searching. InMail response rates dropped to 10–15%. Passive candidates (70% of market) are hardest to find.

The Solution

AI sourcing agent that understands job requirements semantically, scans multiple platforms, ranks candidates by fit and reachability, and generates personalized outreach messages.

Target Audience

Recruiters spending 4+ hours daily searching LinkedIn, sourcing specialists at staffing agencies, and hiring managers at startups who do their own recruiting

Key Features

1
Multi-platform scanning across LinkedIn, GitHub, Stack Overflow, and personal sites
2
Semantic matching beyond keywords to understand skills context
3
Candidate ranking by fit score, reachability, and openness to new roles
4
Contact information discovery with verified email aggregation
5
AI-generated personalized outreach messages
6
Diversity sourcing mode ensuring balanced candidate slates

Market Opportunity

Market Size
$3.6B — AI recruitment and sourcing tools growing at 21.8% CAGR
Monthly Searches
3,800/mo
MRR Potential
$15K–$60K
Why Now?

AI understands job requirements and matches against unstructured profiles. LinkedIn's pricing pushes recruiters toward alternatives. Personalized outreach dramatically improves response rates.

Revenue Model

Per-seat: $149/mo (200 candidates/mo), $299/mo (1,000 candidates), $599/mo (unlimited + API). Credits: $1/candidate pay-as-you-go.

Competitive Landscape

LinkedIn Recruiter

Industry standard. $800+/seat/mo, limited to LinkedIn only

HireEZ

AI sourcing. $200+/user/mo, enterprise pricing

SeekOut

Talent search engine. $200+/user/mo, enterprise focus

Manual searching

4+ hours/day, keyword dependent, low response rates

Recommended Tech Stack

Next.jsPython (Scrapy)PostgreSQLOpenAI APIProxycurl APIRedisStripeBull (job queue)

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