Mathlyは、学生が複雑な数学の問題を解くのを助けるAI搭載の数学チューターです。宿題の写真を撮るだけで、Mathlyがステップバイステップの説明を提供し、追加の質問に答え、概念を真に理解できるようにパーソナライズされた練習問題を生成します。
製品概要
Mathly 製品概要
Mathlyは、学生が複雑な数学の問題を解くのを助けるAI搭載の数学チューターです。宿題の写真を撮るだけで、Mathlyがステップバイステップの説明を提供し、追加の質問に答え、概念を真に理解できるようにパーソナライズされた練習問題を生成します。
Studdy 製品概要
Studdyは、小学3年生から大学生までの生徒が、あらゆる科目の宿題を理解し解決するのを助けるAI搭載の家庭教師アプリです。問題の写真を撮るだけで、ステップバイステップの説明が表示され、概念を完全に理解するまで追加の質問ができます。従来の家庭教師に代わる、手頃でオンデマンドな選択肢です。
Detailed feature comparison
| Feature | Mathly | Studdy |
|---|---|---|
| 主要カテゴリー | 宿題ヘルパー | チューター |
| 追加日 | 2025-08-14 | 2025-08-02 |
| 価格 | 未確認 | フリーミアム |
| 公式サイト | mathly.webflow.io | studdyai.com |
| 製品タイプ | アプリ | 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 | 642 | 219K |
| 月間成長率 | -61.5% | 39.2% |
| お気に入り | 133 | 69 |
| Details | 詳細を見る | 詳細を見る |
Mathly vs Studdy monthly traffic
Compare Mathly and Studdy by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Mathly vs Studdy monthly traffic comparison, Mathly currently shows 642 visits and Studdy shows 219K; Studdy has about 341.1 times the visible traffic of Mathly, an absolute difference of about 218.3K 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.
Mathly monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 9.8K 月間訪問数
- 2026/1: 543 月間訪問数
- 2026/2: 709 月間訪問数
- 2026/3: 773 月間訪問数
- 2026/4: 1.7K 月間訪問数
- 2026/5: 642 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇿🇦South Africa | 100% | 642 |
検索キーワード
Studdy monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 48.1K 月間訪問数
- 2026/1: 56.9K 月間訪問数
- 2026/2: 58.3K 月間訪問数
- 2026/3: 84.9K 月間訪問数
- 2026/4: 157.3K 月間訪問数
- 2026/5: 219K 月間訪問数
主要地域
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 64.08% | 140.3K |
| 🇦🇺Australia | 19.55% | 42.8K |
| 🇨🇦Canada | 7.92% | 17.3K |
| 🇲🇾Malaysia | 4.35% | 9.5K |
| 🇮🇳India | 4.1% | 9K |
流入元
| Source type | Percentage | Traffic |
|---|---|---|
| ダイレクト | 84.35% | 184.7K |
| 参照元 | 15.05% | 33K |
| Eメール | 0.6% | 1.3K |
検索キーワード
Usage comparison
Compare the core capabilities of Mathly and Studdy
Mathly Core features
Studdy Core features
Use cases
Mathly Use cases
Studdy Use cases
Mathly vs Studdy:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Mathly vs Studdy comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Mathly is primarily listed under “宿題ヘルパー”, while Studdy is primarily listed under “チューター”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Mathly: 宿題ヘルパー; Studdy: チューター); Product type (Mathly: App; Studdy: Website); Pricing (Mathly: Not disclosed; Studdy: Freemium); Monthly visits (Mathly: 642; Studdy: 219K); Monthly growth (Mathly: -61.5%; Studdy: 39.2%). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Mathly vs Studdy monthly traffic comparison, Mathly currently shows 642 visits and Studdy shows 219K; Studdy has about 341.1 times the visible traffic of Mathly, an absolute difference of about 218.3K 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 Studdy 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
Mathly and Studdy currently overlap in shared categories: 宿題ヘルパー、学生ツール; shared tags: AIチューター、教育、宿題のヘルプ、数学ソルバー、パーソナライズド学習、学生. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Mathly's unique categories/tags are 数学ソルバー、学習、数学、フォトマス、ステップバイステップソリューション; Studdy's are チューター、試験対策、学習アプリ、科学ヘルプ、段階的. 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
Mathly has no verified rating, 0 comments, 133 favorites, and 128 likes;Studdy has no verified rating, 0 comments, 69 favorites, and 80 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Mathly first
Put Mathly on the priority trial list when the task aligns with “宿題ヘルパー” and especially 数学ソルバー、学習、数学、フォトマス、ステップバイステップソリューション. This follows recorded positioning and does not imply unlisted capabilities are absent.
Mathly also currently records: pricing is not verified, product type is app, 642 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 Studdy first
Put Studdy on the priority trial list when the task aligns with “チューター” and especially チューター、試験対策、学習アプリ、科学ヘルプ、段階的. This follows recorded positioning and does not imply unlisted capabilities are absent.
Studdy also currently records: pricing is freemium, product type is website, 219K 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 Mathly and Studdy, 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.




