# Dafthunk vs Workable

Dafthunk는 월간 방문 799, 전월 대비 성장률 -50%, Free (open source) 가격 모델을 기록합니다. Workable는 월간 방문 10,780,627, 성장률 +5.5%, 무료 체험, 유료 가격 모델을 기록합니다.

| 지표 | [Dafthunk](https://openaitools.app/ko/tool/dafthunk) | [Workable](https://openaitools.app/ko/tool/workable) |
| :--- | :--- | :--- |
| 웹사이트 URL | https://www.dafthunk.com | https://www.workable.com |
| 카테고리 | AI Workflow, AI 개발자 도구, 노코드 & 로우코드, AI Agent | AI 채용, AI Agent, AI CRM |
| 가격 모델 | Free (open source) | 무료 체험, 유료 |
| 월간 방문 수 | 799 | 10,780,627 |
| 전월 대비 성장률 | -50% | +5.5% |
| 주요 시장 | 미국 | 미국 |
| 직접 방문 | 237 | 5,309,440 |
| 리뷰 점수 | 4.3 | 4.4 |
| 저장 수 | 0 | 0 |
| 지원 플랫폼 | 웹사이트 | 웹사이트 |

## Dafthunk

Dafthunk is an open-source, MIT-licensed visual workflow automation platform that runs on Cloudflare's serverless stack. You drag AI models, browser automations, data pipelines and third-party APIs onto a React Flow canvas, connect them into workflows, and let Cloudflare Workers, Workflows and Durable Objects execute them at the edge — scaling to zero when idle and up to whatever traffic arrives.

**가격 및 요금제:** Dafthunk is open source under the MIT license and free to use as a platform — there is no subscription for the workflow engine itself. Cloudflare charges for the underlying serverless resources your workflows consume (Workers, Workflows, D1, R2, Browser Rendering, Queues).

- **Visual drag-and-drop workflow editor:** Design automation pipelines on a drag-and-drop React Flow canvas instead of writing glue code, with live preview and versioning built in.
- **Serverless, durable execution:** Run workflows on Cloudflare Workers and Workflows with durable execution, auto-retry and scale-to-zero behaviour, so long-running jobs survive restarts.
- **Persistent storage and analytics:** Store workflow state and execution history in Cloudflare D1 SQL, R2 object storage, KV and the Workers Analytics Engine for persistent, queryable runs.
- **Flexible triggers and queues:** Start workflows from HTTP webhooks, Cloudflare Queues, cron schedules, email or a manual trigger to cover event-driven, queued and time-based automation.
- **Broad node and integration library:** Tap 470+ nodes across AI models, headless browser scraping and screenshots, image and audio generation, PDF creation and services such as GitHub, Gmail and Google Calendar.

**강점:** Fully MIT licensed with no enterprise tier or feature gating; Scales to zero when idle and up with demand on Cloudflare's serverless platform; Durable execution with automatic retries for long-running workflows; Large library of AI, browser, media and integration nodes behind one visual editor

**한계:** Requires comfort with technical concepts such as HTTP webhooks, queues and API credentials; Because it is a young open-source project, the node library and documentation are still growing; Not a fully managed turnkey product — you are responsible for your own deployment and maintenance; No official premium support tier or SLA as part of the MIT release

[Profile (Markdown)](https://openaitools.app/ko/tool/dafthunk.md)

## Workable

Workable is an agentic recruiting and HR platform. A native AI agent sources passive candidates from 400M+ profiles, screens every applicant against your job criteria and builds vetted shortlists inside a complete ATS, while onboarding, performance, time off, employee records and reporting run on the same system of record.

**가격 및 요금제:** Free trial available with paid subscription plans; pricing scales by company size and selected modules, with demo and enterprise options. Check the official pricing page for current rates.

- **AI candidate sourcing:** The agent continuously searches 400M+ profiles, identifies strong fits before they apply and sends each a personalised outreach message for every open role.
- **Automated screening and engagement:** Every applicant is scored against up to 14 job criteria with visible reasoning, then messaged directly to confirm interest and close information gaps before reaching a recruiter.
- **Complete ATS underneath:** Requisitions, pipelines, interview kits and scorecards, interview scheduling, offer letters with e-signatures and integrated background checks in one platform.
- **Job ad syndication and careers pages:** Publish jobs to 200+ boards in 100+ countries and build branded career sites with a drag-and-drop editor, plus LinkedIn and Indeed Apply integration.
- **HR platform after the hire:** Onboarding, employee self-service, time off and attendance, performance reviews and engagement tools sit on the same employee data created during hiring.
- **Open platform and integrations:** MCP-native coverage plus a documented REST API with webhooks, 270+ integrations, custom reporting dashboards and a mobile-first employee and candidate experience.

**강점:** Native AI agent does real sourcing, screening and candidate messaging, not just keyword ranking; Runs on top of a complete ATS rather than being a bolt-on tool with limited context; Hiring context carries through to onboarding and HR, so talent data compounds over time; Open and MCP-native: bring Claude, ChatGPT or your own agents while Workable stays the system of record

**한계:** Pricing scales with headcount and module selection, so costs grow as you add HR features; Full value depends on adopting both the ATS and HR modules, which is a bigger rollout for small teams; Very feature-rich, so administrators need time to configure workflows, permissions and approvals; Partner job-board and integration advantages vary by region and plan tier

[Profile (Markdown)](https://openaitools.app/ko/tool/workable.md)

## 자주 묻는 질문

### Dafthunk과(와) Workable의 월간 트래픽은 어떻게 비교되나요?

Dafthunk의 월간 방문 수는 799이고, Workable는 10,780,627입니다. 트래픽 추정치는 제품 품질이 아니라 사용자 규모를 나타냅니다.

### 두 도구의 성장률은 어떻게 비교되나요?

Dafthunk의 전월 대비 성장률은 -50%이며, Workable는 +5.5%입니다.

### 가격은 어떻게 비교되나요?

Dafthunk: Free (open source). Dafthunk is open source under the MIT license and free to use as a platform — there is no subscription for the workflow engine itself. Cloudflare charges for the underlying serverless resources your workflows consume (Workers, Workflows, D1, R2, Browser Rendering, Queues). Workable: 무료 체험, 유료. Free trial available with paid subscription plans; pricing scales by company size and selected modules, with demo and enterprise options. Check the official pricing page for current rates.

## 대안

| # | 도구 이름 | 월간 방문 수 | 전월 대비 성장률 | 가격 모델 | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Zapier](https://openaitools.app/ko/tool/zapier-com) | 5,065,248 | +0.4% | 무료+유료, 무료 체험, 유료 | Zapier is a no-code automation and AI orchestration platform that connects thousands of apps so you can build automated workflows, AI agents and chatbots without writing code, and govern them with enterprise-grade contro | [.md](https://openaitools.app/ko/tool/zapier-com.md) |
| 2 | [n8n](https://openaitools.app/ko/tool/n8n) | 4,522,449 | -7.4% | 무료+유료 | AI 에이전트와 기술 팀을 위한 오픈소스 워크플로 자동화 | [.md](https://openaitools.app/ko/tool/n8n.md) |
| 3 | [Apify](https://openaitools.app/ko/tool/apify) | 4,147,762 | +3.9% | 무료+유료, 가격 문의 | 수많은 즉시 사용 스크레이퍼와 AI 에이전트를 한 클라우드에서 실행 | [.md](https://openaitools.app/ko/tool/apify.md) |
| 4 | [MindStudio](https://openaitools.app/ko/tool/mindstudio) | 1,793,337 | +14.2% | 가격 문의 | 노코드로 맞춤형 AI 에이전트와 워크플로 구축 | [.md](https://openaitools.app/ko/tool/mindstudio.md) |
| 5 | [Dify](https://openaitools.app/ko/tool/dify-ai) | 819,691 | -15% | 무료+유료 | 프로덕션 수준의 에이전트형 AI 워크플로를 구축·배포·통제 | [.md](https://openaitools.app/ko/tool/dify-ai.md) |
| 6 | [Recruit CRM](https://openaitools.app/ko/tool/recruit-crm) | 729,799 | -7.8% | 가격 문의 | 지원자 추적 및 고객 관리를 AI 아웃리치와 통합했지만, 에이전시 리크루터에게 더 특화되어 있습니다. | [.md](https://openaitools.app/ko/tool/recruit-crm.md) |
| 7 | [Eigent AI](https://openaitools.app/ko/tool/eigent-ai) | 575,703 | +1.4% | 무료+유료, 무료 체험, 가격 문의 | 브라우저·파일·앱 작업을 대신하는 오픈소스 데스크톱 AI 워크포스 | [.md](https://openaitools.app/ko/tool/eigent-ai.md) |
| 8 | [Kula AI](https://openaitools.app/ko/tool/kula-ai) | 492,326 | +4.2% | 유료, 가격 문의 | 자동 소싱과 CRM을 갖춘 AI 네이티브 ATS를 제공하지만, Workable보다 학습 곡선이 더 가파릅니다. | [.md](https://openaitools.app/ko/tool/kula-ai.md) |
| 9 | [Manatal](https://openaitools.app/ko/tool/manatal) | 459,004 | -1% | 무료 체험, 유료 | 지원자 추적 시스템과 강력한 AI 후보자 매칭 기능을 결합했지만, 내장된 직원 온보딩 기능은 상대적으로 적습니다. | [.md](https://openaitools.app/ko/tool/manatal.md) |
| 10 | [Sense](https://openaitools.app/ko/tool/sensehq-com) | 435,090 | -5.8% | 가격 문의 | AI 에이전트를 사용해 후보자 참여와 소통을 자동화하지만, 전통적인 ATS 파이프라인 관리에는 상대적으로 덜 집중합니다. | [.md](https://openaitools.app/ko/tool/sensehq-com.md) |

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출처: https://openaitools.app/ko/compare/dafthunk-vs-workable

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