Cloudfit은 신체, 정신, 성과를 아우르는 총체적 건강을 위한 AI 기반 웰빙 플랫폼입니다. 연중무휴 24시간 이용 가능한 AI 코치와 공인된 인간 전문가를 결합하여 목표, 진행 상황, 일상 생활에 맞춰 조정되는 맞춤형 피트니스, 영양 및 웰빙 계획을 제공합니다. 트렌드를 추적하고 데이터 기반 통찰력을 얻으며 실시간 지원을 받아 잠재력을 최대한 발휘하세요.
Runathon은 AI 기반 러닝 코치 앱으로, 개인 맞춤형 훈련 계획, 실시간 안내 및 적응형 통찰력을 제공하여 러너들이 더 빠르고 안전하게 피트니스 목표를 달성하도록 돕습니다. 진행 상황을 추적하고, 성과에 따라 운동을 조정하며, 인기 있는 건강 플랫폼과 통합됩니다.
제품 개요
Cloudfit 제품 개요
Cloudfit은 신체, 정신, 성과를 아우르는 총체적 건강을 위한 AI 기반 웰빙 플랫폼입니다. 연중무휴 24시간 이용 가능한 AI 코치와 공인된 인간 전문가를 결합하여 목표, 진행 상황, 일상 생활에 맞춰 조정되는 맞춤형 피트니스, 영양 및 웰빙 계획을 제공합니다. 트렌드를 추적하고 데이터 기반 통찰력을 얻으며 실시간 지원을 받아 잠재력을 최대한 발휘하세요.
Runathon 제품 개요
Runathon은 AI 기반 러닝 코치 앱으로, 개인 맞춤형 훈련 계획, 실시간 안내 및 적응형 통찰력을 제공하여 러너들이 더 빠르고 안전하게 피트니스 목표를 달성하도록 돕습니다. 진행 상황을 추적하고, 성과에 따라 운동을 조정하며, 인기 있는 건강 플랫폼과 통합됩니다.
Detailed feature comparison
| Feature | Cloudfit | Runathon |
|---|---|---|
| 주요 카테고리 | 3D | Running Coach |
| 등록일 | 2025-11-02 | 2025-12-12 |
| 가격 | 확인되지 않음 | 프리미엄 |
| 공식 사이트 | www.cloudfit.io | www.runathonai.com |
| 제품 유형 | 앱 | 앱 |
| Performance data | ||
| 사용자 평점 | 확인되지 않음 | 확인되지 않음 |
| 댓글 | 0 | 0 |
| 월 방문 | 1.7K | 3.4K |
| 월 성장률 | 130.7% | 확인되지 않음 |
| 즐겨찾기 | 144 | 81 |
| Details | 상세 보기 | 상세 보기 |
Cloudfit vs Runathon monthly traffic
Compare Cloudfit and Runathon by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Cloudfit vs Runathon monthly traffic comparison, Cloudfit currently shows 1.7K visits and Runathon shows 3.4K; Runathon has about 1.9 times the visible traffic of Cloudfit, an absolute difference of about 1.6K visits. This reflects visible reach, not feature quality or paid users.
Only Cloudfit has complete third-party traffic details; Runathon uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
Cloudfit monthly traffic:
Latest traffic
Monthly traffic trend
- 2026/1: 2.5K 월 방문
- 2026/2: 1.9K 월 방문
- 2026/3: 1.7K 월 방문
- 2026/4: 758 월 방문
- 2026/5: 1.7K 월 방문
주요 지역
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇻🇳Vietnam | 78.68% | 1.4K |
| 🇺🇸United States | 21.32% | 373 |
검색 키워드
Runathon monthly traffic:
Latest traffic
Usage comparison
Compare the core capabilities of Cloudfit and Runathon
Cloudfit Core features
Runathon Core features
Use cases
Cloudfit Use cases
Runathon Use cases
Best suited roles
Cloudfit Best suited roles
Runathon Best suited roles
Cloudfit vs Runathon:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Cloudfit vs Runathon comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Cloudfit is primarily listed under “3D”, while Runathon is primarily listed under “Running Coach”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Cloudfit: 3D; Runathon: Running Coach); Pricing (Cloudfit: Not disclosed; Runathon: Freemium); Monthly visits (Cloudfit: 1.7K; Runathon: 3.4K); Favorites (Cloudfit: 144; Runathon: 81); Website (Cloudfit: www.cloudfit.io; Runathon: www.runathonai.com). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Cloudfit vs Runathon monthly traffic comparison, Cloudfit currently shows 1.7K visits and Runathon shows 3.4K; Runathon has about 1.9 times the visible traffic of Cloudfit, an absolute difference of about 1.6K visits. This reflects visible reach, not feature quality or paid users.
Only Cloudfit has complete third-party traffic details; Runathon uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.
Product positioning, use cases, and roles
Cloudfit and Runathon currently overlap in shared tags: 맞춤형 훈련; shared roles: 운동선수, 피트니스 애호가, 건강 코치 및 퍼스널 트레이너. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Cloudfit's unique categories/tags are 3D, 피트니스 계산기, 웰빙, 자기 계발, AI 코치, 기업 웰니스, 피트니스 앱 및 건강 추적; Runathon's are Running Coach, Workout Planner, 목표 설정, 추적, 5K 훈련, 적응형 계획, AI 러닝 코치 및 audio coaching. 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
Cloudfit has no verified rating, 0 comments, 144 favorites, and 135 likes;Runathon has no verified rating, 0 comments, 81 favorites, and 92 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Cloudfit first
Put Cloudfit on the priority trial list when the task aligns with “3D” and especially 3D, 피트니스 계산기, 웰빙, 자기 계발, AI 코치 및 기업 웰니스, or the users include 바쁜 직장인, 기업 건강 관리 매니저, 인사 관리자 및 성과 코치. This follows recorded positioning and does not imply unlisted capabilities are absent.
Cloudfit also currently records: pricing is not verified, product type is app, 1.7K 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 Runathon first
Put Runathon on the priority trial list when the task aligns with “Running Coach” and especially Running Coach, Workout Planner, 목표 설정, 추적, 5K 훈련 및 적응형 계획, or the users include 러너. This follows recorded positioning and does not imply unlisted capabilities are absent.
Runathon also currently records: pricing is freemium, product type is app, 3.4K on-site monthly views, 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 Cloudfit and Runathon, 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.




