ApplyPass
개인적인 · 17.3K 월 방문
ApplyPass는 AI 기반의 구직 자동화 플랫폼으로, 특히 기술 업계 전문가들이 적은 노력으로 더 많은 면접 기회를 얻을 수 있도록 돕습니다. 이력서를 최적화하고, 적합한 일자리를 찾아 자동으로 지원하여 주당 수십 시간을 절약하고 면접 기회를 크게 늘려줍니다.
제품 개요
ApplyPass 제품 개요
ApplyPass는 AI 기반의 구직 자동화 플랫폼으로, 특히 기술 업계 전문가들이 적은 노력으로 더 많은 면접 기회를 얻을 수 있도록 돕습니다. 이력서를 최적화하고, 적합한 일자리를 찾아 자동으로 지원하여 주당 수십 시간을 절약하고 면접 기회를 크게 늘려줍니다.
Preview
Loopcv 제품 개요
Loopcv는 AI 기반의 구직 자동화 플랫폼입니다. 여러 채용 사이트에서 관련 직무를 찾고, 이력서로 자동 지원하며, 채용 담당자에게 연락하는 전체 과정을 자동화합니다. AI를 활용한 대규모 타겟 지원을 통해 구직자가 수백 시간을 절약하고 면접 기회를 높일 수 있도록 돕습니다.
Preview
Detailed feature comparison
| Feature | ApplyPass | Loopcv |
|---|---|---|
| 주요 카테고리 | 개인적인 | 구직 |
| 등록일 | 2025-08-07 | 2025-08-09 |
| 가격 | 프리미엄 | 프리미엄 |
| 공식 사이트 | www.applypass.com | www.loopcv.pro |
| 제품 유형 | 웹사이트 | 웹사이트 |
| Performance data | ||
| 사용자 평점 | 확인되지 않음 | 확인되지 않음 |
| 댓글 | 0 | 0 |
| 월 방문 | 17.3K | 221.2K |
| 월 성장률 | 32% | -0.7% |
| 즐겨찾기 | 126 | 81 |
| Details | 상세 보기 | 상세 보기 |
ApplyPass vs Loopcv monthly traffic
Compare ApplyPass and Loopcv by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the ApplyPass vs Loopcv monthly traffic comparison, ApplyPass currently shows 17.3K visits and Loopcv shows 221.2K; Loopcv has about 12.8 times the visible traffic of ApplyPass, an absolute difference of about 203.8K 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.
Loopcv is registered at the www.loopcv.pro/zh subpage. Because the current data does not state whether other host pages are excluded, treat this as domain-level context rather than independent traffic for one product or project.
ApplyPass monthly traffic:
Latest traffic
월 방문
17.3K
평균 방문 시간
1:14
방문당 페이지
2.92
이탈률
29.75%
Data updated 2026-06-15
Monthly traffic trend
- 2025/9: 14.8K 월 방문
- 2026/1: 13.4K 월 방문
- 2026/2: 14.6K 월 방문
- 2026/3: 13.6K 월 방문
- 2026/4: 13.1K 월 방문
- 2026/5: 17.3K 월 방문
주요 지역
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 86.88% | 15.1K |
| 🇮🇳India | 7.83% | 1.4K |
| 🇸🇦Saudi Arabia | 3.25% | 564 |
| 🇬🇧United Kingdom | 2.04% | 354 |
트래픽 소스
| Source type | Percentage | Traffic |
|---|---|---|
| 직접 | 63.2% | 11K |
| 이메일 | 34.52% | 6K |
| 리퍼럴 | 2.28% | 395 |
검색 키워드
aiapplyaiapply redditaiapply reviewsapplypasswww.applypass.com
Loopcv monthly traffic:
Latest traffic
월 방문
221.2K
평균 방문 시간
1:54
방문당 페이지
4.77
이탈률
40.04%
Data updated 2026-06-15
Monthly traffic trend
- 2026/1: 175K 월 방문
- 2026/2: 213.4K 월 방문
- 2026/3: 215.8K 월 방문
- 2026/4: 222.7K 월 방문
- 2026/5: 221.2K 월 방문
주요 지역
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇮🇳India | 52.07% | 115.2K |
| 🇺🇸United States | 28.09% | 62.1K |
| 🇲🇦Morocco | 10.7% | 23.7K |
| 🇬🇧United Kingdom | 4.66% | 10.3K |
| 🇧🇷Brazil | 4.48% | 9.9K |
트래픽 소스
| Source type | Percentage | Traffic |
|---|---|---|
| 직접 | 78.37% | 173.3K |
| 리퍼럴 | 12.81% | 28.3K |
| 이메일 | 8.82% | 19.5K |
검색 키워드
ai applyai job searchloop cvloopcvloopcv ai
Traffic-based selection guidance: Loopcv is registered under a www.loopcv.pro subpath, so its large visible total may include the host platform. The current data does not justify choosing Loopcv for traffic alone; shortlist by unique taxonomy and use case, then validate with the same tasks.
Usage comparison
Compare the core capabilities of ApplyPass and Loopcv
ApplyPass Core features
구직
자동화
개인적인
Loopcv Core features
구직
자동화
이메일 마케팅
Use cases
ApplyPass Use cases
AI 비서
자동화
경력
구직
이력서
인터뷰
입사 지원
소프트웨어 엔지니어
기술직
Loopcv Use cases
AI 비서
자동화
경력
구직
이력서
애플리케이션
컴퓨터 비전
구인 게시판
구직자
채용
ApplyPass vs Loopcv：In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth ApplyPass vs Loopcv comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. ApplyPass is primarily listed under “개인적인”, while Loopcv is primarily listed under “구직”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (ApplyPass: 개인적인; Loopcv: 구직); Monthly visits (ApplyPass: 17.3K; Loopcv: 221.2K); Monthly growth (ApplyPass: 32%; Loopcv: -0.7%); Favorites (ApplyPass: 126; Loopcv: 81); Website (ApplyPass: www.applypass.com; Loopcv: www.loopcv.pro). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the ApplyPass vs Loopcv monthly traffic comparison, ApplyPass currently shows 17.3K visits and Loopcv shows 221.2K; Loopcv has about 12.8 times the visible traffic of ApplyPass, an absolute difference of about 203.8K 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.
Loopcv is registered at the www.loopcv.pro/zh subpage. Because the current data does not state whether other host pages are excluded, treat this as domain-level context rather than independent traffic for one product or project.
Loopcv is registered under a www.loopcv.pro subpath, so its large visible total may include the host platform. The current data does not justify choosing Loopcv for traffic alone; shortlist by unique taxonomy and use case, then validate with the same tasks.
Product positioning, use cases, and roles
ApplyPass and Loopcv currently overlap in shared categories: 구직 및 자동화; shared tags: AI 비서, 자동화, 경력, 구직 및 이력서. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
ApplyPass's unique categories/tags are 개인적인, 인터뷰, 입사 지원, 소프트웨어 엔지니어 및 기술직; Loopcv's are 이메일 마케팅, 애플리케이션, 컴퓨터 비전, 구인 게시판, 구직자 및 채용. 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
ApplyPass has no verified rating, 0 comments, 126 favorites, and 118 likes；Loopcv has no verified rating, 0 comments, 81 favorites, and 87 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate ApplyPass first
Put ApplyPass on the priority trial list when the task aligns with “개인적인” and especially 개인적인, 인터뷰, 입사 지원, 소프트웨어 엔지니어 및 기술직. This follows recorded positioning and does not imply unlisted capabilities are absent.
ApplyPass also currently records: pricing is freemium, product type is website, 17.3K 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 Loopcv first
Put Loopcv on the priority trial list when the task aligns with “구직” and especially 이메일 마케팅, 애플리케이션, 컴퓨터 비전, 구인 게시판, 구직자 및 채용. This follows recorded positioning and does not imply unlisted capabilities are absent.
Loopcv also currently records: pricing is freemium, product type is website, 221.2K monthly visits shown for the registered host (subpage scope unknown), 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 ApplyPass and Loopcv, 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.
비교 FAQ
How should I choose between ApplyPass and Loopcv?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.