Gumloop는 사용자가 시각적으로 복잡한 워크플로우를 구축할 수 있게 해주는 노코드 AI 자동화 프레임워크입니다. 드래그 앤 드롭 인터페이스를 통해 코딩 없이 다양한 애플리케이션을 연결하고, 작업을 자동화하며, 맞춤형 AI 도구를 만들 수 있습니다. 개인과 기업 모두가 운영을 효율적으로 확장할 수 있도록 설계되었습니다.
Spell은 자율 AI 에이전트에게 복잡한 작업을 위임할 수 있는 AI 플랫폼입니다. GPT-4로 구동되며, 병렬 작업 실행, 100개 이상의 플러그인 라이브러리, 마케팅, 연구, 콘텐츠 제작 등의 워크플로우를 자동화하는 큐레이션된 템플릿을 제공하여 생산성을 크게 향상시킵니다.
제품 개요
Gumloop 제품 개요
Gumloop는 사용자가 시각적으로 복잡한 워크플로우를 구축할 수 있게 해주는 노코드 AI 자동화 프레임워크입니다. 드래그 앤 드롭 인터페이스를 통해 코딩 없이 다양한 애플리케이션을 연결하고, 작업을 자동화하며, 맞춤형 AI 도구를 만들 수 있습니다. 개인과 기업 모두가 운영을 효율적으로 확장할 수 있도록 설계되었습니다.
Spell 제품 개요
Spell은 자율 AI 에이전트에게 복잡한 작업을 위임할 수 있는 AI 플랫폼입니다. GPT-4로 구동되며, 병렬 작업 실행, 100개 이상의 플러그인 라이브러리, 마케팅, 연구, 콘텐츠 제작 등의 워크플로우를 자동화하는 큐레이션된 템플릿을 제공하여 생산성을 크게 향상시킵니다.
Detailed feature comparison
Gumloop vs Spell monthly traffic
Compare Gumloop and Spell by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Gumloop vs Spell monthly traffic comparison, Gumloop currently shows 701K visits and Spell shows 1.8K; Gumloop has about 392.7 times the visible traffic of Spell, an absolute difference of about 699.2K 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.
Gumloop monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 306.3K 월 방문
- 2026/1: 351.8K 월 방문
- 2026/2: 334.1K 월 방문
- 2026/3: 435.2K 월 방문
- 2026/4: 490.7K 월 방문
- 2026/5: 701K 월 방문
주요 지역
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 53.96% | 378.3K |
| 🇮🇳India | 24.07% | 168.7K |
| 🇨🇦Canada | 10.41% | 73K |
| 🇮🇩Indonesia | 6.69% | 46.9K |
| 🇬🇧United Kingdom | 4.87% | 34.1K |
트래픽 소스
| Source type | Percentage | Traffic |
|---|---|---|
| 직접 | 77.02% | 539.9K |
| 리퍼럴 | 18.3% | 128.3K |
| 이메일 | 4.68% | 32.8K |
검색 키워드
Spell monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 5K 월 방문
- 2026/1: 12K 월 방문
- 2026/2: 5.8K 월 방문
- 2026/3: 6.4K 월 방문
- 2026/4: 6.8K 월 방문
- 2026/5: 1.8K 월 방문
주요 지역
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 100% | 1.8K |
검색 키워드
Usage comparison
Compare the core capabilities of Gumloop and Spell
Gumloop Core features
Spell Core features
Use cases
Gumloop Use cases
Spell Use cases
Gumloop vs Spell:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Gumloop vs Spell comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Gumloop is primarily listed under “노코드”, while Spell is primarily listed under “노코드”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Monthly visits (Gumloop: 701K; Spell: 1.8K); Monthly growth (Gumloop: 42.9%; Spell: -73.6%); Favorites (Gumloop: 89; Spell: 113); Website (Gumloop: www.gumloop.com; Spell: spell.so); Added (Gumloop: 2025-08-15; Spell: 2025-08-10). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Gumloop vs Spell monthly traffic comparison, Gumloop currently shows 701K visits and Spell shows 1.8K; Gumloop has about 392.7 times the visible traffic of Spell, an absolute difference of about 699.2K 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 Gumloop 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
Gumloop and Spell currently overlap in shared categories: 노코드, SEO 및 자동화; shared tags: AI 에이전트, 마케팅 자동화 및 노코드. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Gumloop's unique categories/tags are 리드 생성, AI 워크플로우, 자동화, 비즈니스 프로세스 자동화, 데이터 추출, SEO, 시각적 프로그래밍 및 워크플로우; Spell's are 콘텐츠 생성, 오토GPT, 자율 에이전트, GPT-4, 병렬 처리, 생산성, 연구 도구 및 작업 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
Gumloop has no verified rating, 0 comments, 89 favorites, and 83 likes;Spell has no verified rating, 0 comments, 113 favorites, and 116 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Gumloop first
Put Gumloop on the priority trial list when the task aligns with “노코드” and especially 리드 생성, AI 워크플로우, 자동화, 비즈니스 프로세스 자동화, 데이터 추출 및 SEO. This follows recorded positioning and does not imply unlisted capabilities are absent.
Gumloop also currently records: pricing is freemium, product type is website, 701K 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 Spell first
Put Spell on the priority trial list when the task aligns with “노코드” and especially 콘텐츠 생성, 오토GPT, 자율 에이전트, GPT-4, 병렬 처리 및 생산성. This follows recorded positioning and does not imply unlisted capabilities are absent.
Spell also currently records: pricing is freemium, product type is website, 1.8K 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 Gumloop and Spell, 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.




