Pin is an AI-powered recruitment platform designed to revolutionize the hiring process. It automates candidate sourcing from over 850M profiles, screens resumes with PhD-level precision, engages top candidates through multi-channel outreach, and streamlines interview scheduling to help teams hire top talent faster and more efficiently.
RefHub is an AI-powered platform designed to automate and streamline pre-employment reference checks and candidate assessments. It helps businesses of all sizes make faster, smarter hiring decisions by providing deep, AI-driven insights, detecting potential fraud, and eliminating manual follow-ups. With customizable templates and real-time reporting, RefHub significantly reduces hiring time and costs while improving the quality of candidate evaluation.
Product overview
Pin Product overview
Pin is an AI-powered recruitment platform designed to revolutionize the hiring process. It automates candidate sourcing from over 850M profiles, screens resumes with PhD-level precision, engages top candidates through multi-channel outreach, and streamlines interview scheduling to help teams hire top talent faster and more efficiently.
RefHub Product overview
RefHub is an AI-powered platform designed to automate and streamline pre-employment reference checks and candidate assessments. It helps businesses of all sizes make faster, smarter hiring decisions by providing deep, AI-driven insights, detecting potential fraud, and eliminating manual follow-ups. With customizable templates and real-time reporting, RefHub significantly reduces hiring time and costs while improving the quality of candidate evaluation.
Detailed feature comparison
| Feature | Pin | RefHub |
|---|---|---|
| Primary category | Recruiting | Screening |
| Added | 2025-08-06 | 2025-08-16 |
| Pricing | Paid | Freemium |
| Official website | www.pin.com | www.refhub.com.au |
| Product type | Website | Website |
| Performance data | ||
| User rating | Not verified | Not verified |
| Comments | 0 | 0 |
| Monthly visits | 163.4K | 12.4K |
| Monthly growth | 55.1% | 24.9% |
| Favorites | 111 | 108 |
| Details | View details | View details |
Pin vs RefHub monthly traffic
Compare Pin and RefHub by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Pin vs RefHub monthly traffic comparison, Pin currently shows 163.4K visits and RefHub shows 12.4K; Pin has about 13.1 times the visible traffic of RefHub, an absolute difference of about 150.9K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
Pin monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 47.5K Monthly visits
- 2026/1: 65.8K Monthly visits
- 2026/2: 49.6K Monthly visits
- 2026/3: 63.6K Monthly visits
- 2026/4: 105.3K Monthly visits
- 2026/5: 163.4K Monthly visits
Top regions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 94.65% | 154.6K |
| 🇨🇦Canada | 2.92% | 4.8K |
| 🇬🇧United Kingdom | 0.94% | 1.5K |
| 🇻🇳Vietnam | 0.76% | 1.2K |
| 🇮🇳India | 0.73% | 1.2K |
Traffic sources
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 86.65% | 141.6K |
| 10.44% | 17.1K | |
| Referral | 2.91% | 4.8K |
Search keywords
RefHub monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 10.9K Monthly visits
- 2026/1: 18.3K Monthly visits
- 2026/2: 12.9K Monthly visits
- 2026/3: 9.2K Monthly visits
- 2026/4: 10K Monthly visits
- 2026/5: 12.4K Monthly visits
Top regions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇦🇺Australia | 73.69% | 9.2K |
| 🇺🇸United States | 18.5% | 2.3K |
| 🇵🇭Philippines | 7.03% | 875 |
| 🇵🇰Pakistan | 0.78% | 97 |
Traffic sources
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 89.32% | 11.1K |
| 10.68% | 1.3K |
Search keywords
Usage comparison
Compare the core capabilities of Pin and RefHub
Pin Core features
RefHub Core features
Use cases
Pin Use cases
RefHub Use cases
Pin vs RefHub:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Pin vs RefHub comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Pin is primarily listed under “Recruiting”, while RefHub is primarily listed under “Screening”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Pin: Recruiting; RefHub: Screening); Pricing (Pin: Paid; RefHub: Freemium); Monthly visits (Pin: 163.4K; RefHub: 12.4K); Monthly growth (Pin: 55.1%; RefHub: 24.9%); Favorites (Pin: 111; RefHub: 108). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Pin vs RefHub monthly traffic comparison, Pin currently shows 163.4K visits and RefHub shows 12.4K; Pin has about 13.1 times the visible traffic of RefHub, an absolute difference of about 150.9K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
If public market visibility is an important first-pass criterion, investigate Pin first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
Product positioning, use cases, and roles
Pin and RefHub currently overlap in shared categories: Recruiting and Automation; shared tags: automation, hiring, and recruitment. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Pin's unique categories/tags are Outreach, applicant tracking system, ATS, candidate sourcing, HR tech, recruiting automation, resume screening, and talent acquisition; RefHub's are Screening, AI, candidate assessment, HR, pre-employment screening, and reference check. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
Pin has no verified rating, 0 comments, 111 favorites, and 117 likes;RefHub has no verified rating, 0 comments, 108 favorites, and 112 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Pin first
Put Pin on the priority trial list when the task aligns with “Recruiting” and especially Outreach, applicant tracking system, ATS, candidate sourcing, HR tech, and recruiting automation. This follows recorded positioning and does not imply unlisted capabilities are absent.
Pin also currently records: pricing is paid, product type is website, 163.4K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate RefHub first
Put RefHub on the priority trial list when the task aligns with “Screening” and especially Screening, AI, candidate assessment, HR, pre-employment screening, and reference check. This follows recorded positioning and does not imply unlisted capabilities are absent.
RefHub also currently records: pricing is freemium, product type is website, 12.4K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Pin and RefHub, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.
Comparison FAQ
How should I choose between Pin and RefHub?
Where does this comparison data come from?
What do unknown fields mean?
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