Glaspは、学習者や研究者が洞察に満ちたアイデアを捉え、整理し、共有するのを助けるソーシャルWebおよびPDFハイライターです。AIを使用してハイライトからパーソナライズされた知識ベースを構築し、AIによる要約、ノートとのチャット、人気のノートアプリとのシームレスな連携などの機能を提供します。公開学習を促進し、集合知を構築することを目指しています。
製品概要
Glasp 製品概要
Glaspは、学習者や研究者が洞察に満ちたアイデアを捉え、整理し、共有するのを助けるソーシャルWebおよびPDFハイライターです。AIを使用してハイライトからパーソナライズされた知識ベースを構築し、AIによる要約、ノートとのチャット、人気のノートアプリとのシームレスな連携などの機能を提供します。公開学習を促進し、集合知を構築することを目指しています。
Recall 製品概要
Recallは、散在するコンテンツを自己組織化するナレッジベースに変換するAI搭載の知識管理ツールです。記事、YouTube動画、PDFなどを要約し、コンテンツとチャットし、拡張ブラウジングや間隔反復などの機能を使って学んだすべてを記憶するのに役立ちます。
Detailed feature comparison
Glasp vs Recall monthly traffic
Compare Glasp and Recall by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Glasp vs Recall monthly traffic comparison, Glasp currently shows 2.8M visits and Recall shows 151.5K; Glasp has about 18.2 times the visible traffic of Recall, an absolute difference of about 2.6M 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.
Glasp monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 1.5M 月間訪問数
- 2026/1: 1.5M 月間訪問数
- 2026/2: 1.2M 月間訪問数
- 2026/3: 2M 月間訪問数
- 2026/4: 1.9M 月間訪問数
- 2026/5: 2.8M 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇹🇼Taiwan | 40.38% | 1.1M |
| 🇺🇸United States | 24.29% | 670.7K |
| 🇨🇳China | 13.48% | 372.2K |
| 🇮🇳India | 11.94% | 329.7K |
| 🇧🇷Brazil | 9.91% | 273.6K |
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| ダイレクト | 71.66% | 2M |
| 参照元 | 23.61% | 651.9K |
| Eメール | 4.73% | 130.6K |
検索キーワード
Recall monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 752.3K 月間訪問数
- 2026/1: 676K 月間訪問数
- 2026/2: 584.5K 月間訪問数
- 2026/3: 503.3K 月間訪問数
- 2026/4: 352.3K 月間訪問数
- 2026/5: 151.5K 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 60.52% | 91.7K |
| 🇦🇺Australia | 12.04% | 18.2K |
| 🇩🇪Germany | 10.42% | 15.8K |
| 🇬🇧United Kingdom | 9.54% | 14.5K |
| 🇵🇱Poland | 7.48% | 11.3K |
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| ダイレクト | 78.2% | 118.5K |
| 参照元 | 18.71% | 28.4K |
| Eメール | 3.09% | 4.7K |
検索キーワード
Usage comparison
Compare the core capabilities of Glasp and Recall
Glasp Core features
Recall Core features
Use cases
Glasp Use cases
Recall Use cases
Glasp vs Recall:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Glasp vs Recall comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Glasp is primarily listed under “ウェブクリッパー”, while Recall is primarily listed under “研究”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Glasp: ウェブクリッパー; Recall: 研究); Monthly visits (Glasp: 2.8M; Recall: 151.5K); Monthly growth (Glasp: 44.2%; Recall: -57%); Favorites (Glasp: 115; Recall: 111); Website (Glasp: glasp.co; Recall: www.getrecall.ai). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Glasp vs Recall monthly traffic comparison, Glasp currently shows 2.8M visits and Recall shows 151.5K; Glasp has about 18.2 times the visible traffic of Recall, an absolute difference of about 2.6M 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 Glasp 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
Glasp and Recall currently overlap in shared categories: 研究、知識管理; shared tags: ノート取り、研究ツール、第二の脳. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Glasp's unique categories/tags are ウェブクリッパー、メモ作成、AI要約、ハイライター、知識管理、PDFアノテーター、個人知識管理、社会学習; Recall's are メモ作成、要約ツール、知識ベース、PDF要約ツール、生産性、後で読む、間隔反復、YouTube要約ツール. 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
Glasp has no verified rating, 0 comments, 115 favorites, and 119 likes;Recall has no verified rating, 0 comments, 111 favorites, and 109 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Glasp first
Put Glasp on the priority trial list when the task aligns with “ウェブクリッパー” and especially ウェブクリッパー、メモ作成、AI要約、ハイライター、知識管理、PDFアノテーター. This follows recorded positioning and does not imply unlisted capabilities are absent.
Glasp also currently records: pricing is freemium, product type is website, 2.8M 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 Recall first
Put Recall on the priority trial list when the task aligns with “研究” and especially メモ作成、要約ツール、知識ベース、PDF要約ツール、生産性、後で読む. This follows recorded positioning and does not imply unlisted capabilities are absent.
Recall also currently records: pricing is freemium, product type is website, 151.5K 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 Glasp and Recall, 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 Glasp and Recall?
Where does this comparison data come from?
What do unknown fields mean?
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