ApplyPass
個人的な · 17.3K 月間訪問数
ApplyPassは、AIを活用した求職自動化プラットフォームで、特にテクノロジー業界の専門家が少ない労力でより多くの面接機会を得られるよう支援します。履歴書を最適化し、適合する求人を見つけ、あなたに代わって自動で応募することで、週に数十時間を節約し、面接の機会を大幅に増やします。
製品概要
ApplyPass 製品概要
ApplyPassは、AIを活用した求職自動化プラットフォームで、特にテクノロジー業界の専門家が少ない労力でより多くの面接機会を得られるよう支援します。履歴書を最適化し、適合する求人を見つけ、あなたに代わって自動で応募することで、週に数十時間を節約し、面接の機会を大幅に増やします。
Preview
Loopcv 製品概要
LoopcvはAIを搭載した求職活動自動化プラットフォームです。複数の求人サイトから関連するポジションを見つけ、履歴書で自動応募し、採用担当者に連絡するまでの一連のプロセスを自動化します。AIを活用した大量かつターゲットを絞った応募により、求職者が数百時間を節約し、面接の機会を増やすのを支援します。
Preview
Detailed feature comparison
| Feature | ApplyPass | Loopcv |
|---|---|---|
| 主要カテゴリー | 個人的な | 求人検索 |
| 追加日 | 2025-08-07 | 2025-08-09 |
| 価格 | フリーミアム | フリーミアム |
| 公式サイト | www.applypass.com | www.loopcv.pro |
| 製品タイプ | ウェブサイト | ウェブサイト |
| Performance data | ||
| ユーザー評価 | 未確認 | 未確認 |
| コメント | 0 | 0 |
| 月間訪問数 | 17.3K | 221.2K |
| 月間成長率 | 32% | -0.7% |
| お気に入り | 126 | 81 |
| Details | 詳細を見る | 詳細を見る |
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
月間訪問数
17.3K
平均滞在時間
1:14
訪問あたりページ数
2.92
直帰率
29.75%
Data updated 2026-06-15
Monthly traffic trend
- 2025/9: 14.8K 月間訪問数
- 2026/1: 13.4K 月間訪問数
- 2026/2: 14.6K 月間訪問数
- 2026/3: 13.6K 月間訪問数
- 2026/4: 13.1K 月間訪問数
- 2026/5: 17.3K 月間訪問数
主要地域
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 |
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| ダイレクト | 63.2% | 11K |
| Eメール | 34.52% | 6K |
| 参照元 | 2.28% | 395 |
検索キーワード
aiapplyaiapply redditaiapply reviewsapplypasswww.applypass.com
Loopcv monthly traffic:
Latest traffic
月間訪問数
221.2K
平均滞在時間
1:54
訪問あたりページ数
4.77
直帰率
40.04%
Data updated 2026-06-15
Monthly traffic trend
- 2026/1: 175K 月間訪問数
- 2026/2: 213.4K 月間訪問数
- 2026/3: 215.8K 月間訪問数
- 2026/4: 222.7K 月間訪問数
- 2026/5: 221.2K 月間訪問数
主要地域
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 |
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| ダイレクト | 78.37% | 173.3K |
| 参照元 | 12.81% | 28.3K |
| Eメール | 8.82% | 19.5K |
検索キーワード
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
求人検索
自動化
個人的な
Loopcv Core features
求人検索
自動化
メールマーケティング
Use cases
ApplyPass Use cases
AIアシスタント
自動化
キャリア
仕事探し
履歴書
インタビュー
求人応募
ソフトウェアエンジニア
テック系求人
Loopcv Use cases
AIアシスタント
自動化
キャリア
仕事探し
履歴書
アプリケーション
コンピュータビジョン
求人掲示板
求職者
採用
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 “個人的な”, while Loopcv is primarily listed under “求人検索”, 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: 個人的な; Loopcv: 求人検索); 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: 求人検索、自動化; shared tags: AIアシスタント、自動化、キャリア、仕事探し、履歴書. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
ApplyPass's unique categories/tags are 個人的な、インタビュー、求人応募、ソフトウェアエンジニア、テック系求人; Loopcv's are メールマーケティング、アプリケーション、コンピュータビジョン、求人掲示板、求職者、採用. 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 “個人的な” and especially 個人的な、インタビュー、求人応募、ソフトウェアエンジニア、テック系求人. 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 “求人検索” and especially メールマーケティング、アプリケーション、コンピュータビジョン、求人掲示板、求職者、採用. 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.
比較 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.