AmazingHiring
N/AAI sourcing platform for tech recruiters. Aggregates candidate data from GitHub, StackOverflow, Kaggle, Behance, and 50+ other platforms. Dean DaCosta recommended.
View PricingSourcrLab Verdict
Workflow stage: Sourcing & Talent Discovery
AI sourcing platform for tech recruiters. Aggregates candidate data from GitHub, StackOverflow, Kaggle, Behance, and 50+ other platforms. Dean DaCosta recommended.
Use if: Corporate recruiting teams
Skip if: Data completeness varies by geography and industry
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About AmazingHiring
AI sourcing platform for tech recruiters. Aggregates candidate data from GitHub, StackOverflow, Kaggle, Behance, and 50+ other platforms. Dean DaCosta recommended.
AmazingHiring helps recruiting teams streamline their hiring workflow with AI-powered automation and intelligent matching. The platform integrates with popular ATS systems and recruiting tools to provide a seamless experience across your entire talent acquisition stack.
Information may change — always verify on the official website.
Key Features
- AI-powered candidate search
- Boolean search builder
- Candidate data enrichment
- Contact info finder (email & phone)
- LinkedIn integration
- Talent pool management
Best For
- Corporate recruiting teams
- Staffing agencies
- Tech recruiters
- Sourcers
Use Cases
- Sourcing passive candidates
- Building talent pipelines
- Competitive talent mapping
- Diversity sourcing
Pros & Cons
PROS
- Automates repetitive sourcing tasks effectively
- Taps into candidates who aren't actively looking
- AI scoring surfaces best-fit candidates faster
- Layers onto your current tools without disruption
CONS
- Data completeness varies by geography and industry
- Mastering search syntax takes practice
- Low-volume recruiters may not see enough return
Quick Compare
| Tool | Rating | Pricing | Free Plan | |
|---|---|---|---|---|
| 4.5 | N/A | Compare | ||
| 4.7 | N/A | Compare | ||
| 4.7 | N/A | Compare |
Our Experience
Paid tool - evaluate ROI based on your hiring volume. AI sourcing platform for tech recruiters. Aggregates candidate data from GitHub, StackOverflow, Kaggle, Behance, and 50+ other platforms. Dean DaCosta recommended.
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