Devath는 세계 최초의 AI 기반 노코드 스마트홈 개발 플랫폼입니다. 개발자와 취미 활동가들이 자연어 지시를 사용하여 IoT 애플리케이션을 만들고, 테스트하고, 게시할 수 있게 하여 하드웨어 통합과 자동화를 획기적으로 단순화합니다.
Magic Loops는 코딩 없이 전문적인 AI 네이티브 애플리케이션을 몇 분 만에 구축할 수 있게 해주는 노코드/로코드 플랫폼입니다. 아이디어를 평이한 영어로 설명하기만 하면 Magic Loops가 기본 워크플로우와 사용자 인터페이스를 생성합니다. 광범위한 코딩 없이 AI 기반 도구, 자동화 및 유틸리티를 신속하게 프로토타이핑하고 배포하려는 크리에이터, 개발자 및 비즈니스에 적합합니다.
제품 개요
Devath 제품 개요
Devath는 세계 최초의 AI 기반 노코드 스마트홈 개발 플랫폼입니다. 개발자와 취미 활동가들이 자연어 지시를 사용하여 IoT 애플리케이션을 만들고, 테스트하고, 게시할 수 있게 하여 하드웨어 통합과 자동화를 획기적으로 단순화합니다.
Magic Loops 제품 개요
Magic Loops는 코딩 없이 전문적인 AI 네이티브 애플리케이션을 몇 분 만에 구축할 수 있게 해주는 노코드/로코드 플랫폼입니다. 아이디어를 평이한 영어로 설명하기만 하면 Magic Loops가 기본 워크플로우와 사용자 인터페이스를 생성합니다. 광범위한 코딩 없이 AI 기반 도구, 자동화 및 유틸리티를 신속하게 프로토타이핑하고 배포하려는 크리에이터, 개발자 및 비즈니스에 적합합니다.
Detailed feature comparison
| Feature | Devath | Magic Loops |
|---|---|---|
| 주요 카테고리 | 노코드 & 로우코드 | 빌더 |
| 등록일 | 2025-08-06 | 2025-08-11 |
| 가격 | 무료 | 프리미엄 |
| 공식 사이트 | devath.plasmic.run | magicloops.dev |
| 제품 유형 | 웹사이트 | 웹사이트 |
| Performance data | ||
| 사용자 평점 | 확인되지 않음 | 확인되지 않음 |
| 댓글 | 0 | 0 |
| 월 방문 | 3.4K | 5.5K |
| 월 성장률 | 확인되지 않음 | -38.2% |
| 즐겨찾기 | 112 | 125 |
| Details | 상세 보기 | 상세 보기 |
Devath vs Magic Loops monthly traffic
Compare Devath and Magic Loops by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Devath vs Magic Loops monthly traffic comparison, Devath currently shows 3.4K visits and Magic Loops shows 5.5K; Magic Loops has about 1.6 times the visible traffic of Devath, an absolute difference of about 2.2K visits. This reflects visible reach, not feature quality or paid users.
Only Magic Loops has complete third-party traffic details; Devath 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.
Devath monthly traffic:
Latest traffic
Magic Loops monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 94K 월 방문
- 2026/1: 26K 월 방문
- 2026/2: 13.2K 월 방문
- 2026/3: 11.3K 월 방문
- 2026/4: 9K 월 방문
- 2026/5: 5.5K 월 방문
주요 지역
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇲🇽Mexico | 33.06% | 1.8K |
| 🇦🇷Argentina | 24.41% | 1.4K |
| 🇺🇸United States | 21.17% | 1.2K |
| 🇮🇩Indonesia | 12.61% | 698 |
| 🇺🇾Uruguay | 8.75% | 484 |
트래픽 소스
| Source type | Percentage | Traffic |
|---|---|---|
| 직접 | 73.33% | 4.1K |
| 리퍼럴 | 26.67% | 1.5K |
검색 키워드
Usage comparison
Compare the core capabilities of Devath and Magic Loops
Devath Core features
Magic Loops Core features
Use cases
Devath Use cases
Magic Loops Use cases
Devath vs Magic Loops:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Devath vs Magic Loops comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Devath is primarily listed under “노코드 & 로우코드”, while Magic Loops is primarily listed under “빌더”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Devath: 노코드 & 로우코드; Magic Loops: 빌더); Pricing (Devath: Free; Magic Loops: Freemium); Monthly visits (Devath: 3.4K; Magic Loops: 5.5K); Favorites (Devath: 112; Magic Loops: 125); Website (Devath: devath.plasmic.run; Magic Loops: magicloops.dev). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Devath vs Magic Loops monthly traffic comparison, Devath currently shows 3.4K visits and Magic Loops shows 5.5K; Magic Loops has about 1.6 times the visible traffic of Devath, an absolute difference of about 2.2K visits. This reflects visible reach, not feature quality or paid users.
Only Magic Loops has complete third-party traffic details; Devath 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
Devath and Magic Loops currently overlap in shared categories: 자동화; shared tags: 앱 빌더, 자동화, 개발자 도구, 로우코드 및 노코드. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Devath's unique categories/tags are 노코드 & 로우코드, 스마트 홈, AI 코파일럿, 블루투스, 하드웨어 및 IoT; Magic Loops's are 빌더, 노코드, AI 애플리케이션, AI 네이티브, GPT, 시각적 프로그래밍 및 워크플로 자동화. 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
Devath has no verified rating, 0 comments, 112 favorites, and 97 likes;Magic Loops has no verified rating, 0 comments, 125 favorites, and 112 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Devath first
Put Devath on the priority trial list when the task aligns with “노코드 & 로우코드” and especially 노코드 & 로우코드, 스마트 홈, AI 코파일럿, 블루투스, 하드웨어 및 IoT. This follows recorded positioning and does not imply unlisted capabilities are absent.
Devath also currently records: pricing is free, product type is website, 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.
When to evaluate Magic Loops first
Put Magic Loops on the priority trial list when the task aligns with “빌더” and especially 빌더, 노코드, AI 애플리케이션, AI 네이티브, GPT 및 시각적 프로그래밍. This follows recorded positioning and does not imply unlisted capabilities are absent.
Magic Loops also currently records: pricing is freemium, product type is website, 5.5K 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 Devath and Magic Loops, 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.




