Hunter vs Gemma (Google)
Side-by-side comparison to help you choose the best tool.
Hunter
freemiumHunter is a popular email finder tool that helps sales and marketing professionals locate professional email addresses associated with any domain or LinkedIn profile. It aggregates publicly available data and uses pattern recognition to find and verify email formats, enabling bulk prospecting and outreach at scale. Hunter also offers an email verification service to reduce bounce rates and improve deliverability.
Gemma (Google)
freeGemma is Google's family of lightweight, open-weights language models designed for deployment on laptops, workstations, and cloud - derived from the same research as Gemini. Available in 2B and 7B sizes with instruction-tuned variants, Gemma provides high quality for its size, strong safety testing, and permissive terms for commercial use. Gemma 2 models achieve modern performance for their compute class.
| Feature | Hunter | Gemma (Google) |
|---|---|---|
| Pricing | freemium | free |
| Category | - | - |
| Rating | 4.2 | 4.4 |
| Best For | Marketers and sales reps who need a fast, reliable way to find professional email addresses for outreach campaigns. | Developers wanting fast, small open-weights models for on-device or low-compute deployment with Google-backed safety testing |
| Views | 3 | 4 |
Pros
- Simple and intuitive interface ideal for quick prospecting
- Reliable email pattern detection for professional domains
- Useful free tier with 25 monthly searches
Cons
- Does not provide phone numbers or enriched contact profiles
- Less effective for companies with non-standard email patterns
Pros
- Best performance per compute for small open models
- Runs on consumer laptops and phones
- Google-backed safety testing
Cons
- Smaller than Llama 3 70B in capability
- Less fine-tuning ecosystem
- Domain search to find all emails for a company
- Email finder for individual prospects
- Email verification to reduce bounces
- Bulk domain and email search via CSV
- Chrome extension for LinkedIn and websites
- 2B & 7B open-weights models
- Instruction-tuned variants
- Gemma 2 state-of-the-art efficiency
- KerasNLP & JAX support
- Runs on consumer hardware