Gumloop vs n8n
 Gumloop |  n8n | |
|---|---|---|
| Sentiment | ||
| Score | 32/100 | 53/100 |
| Rank in category | #6 | #1 |
| Rated comments | 19 | 40 |
| Best for | AI-heavy workflows like web scraping, research and structured data extraction; Quick prototypes and internal workflows built by non-developers; Teams that run the deterministic plumbing in n8n or Make and want a dedicated AI step | Technical builders and automation agencies who want code-level control; High-volume workflows where per-step pricing would get expensive; Teams that want to self-host and keep data on their own infrastructure |
| Skip it if | Large, business-critical workflows that must run unattended; Builders who want direct manual control over every setting; Teams that need Zapier-level breadth of app integrations | Non-technical users who want true no-code; Anyone unwilling to patch, secure and maintain a self-hosted instance |
| Starting price | $37/mo | 20€/mo |
| Pricing (vendor-stated) | Pro starts at $37/mo with 20,000 credits a month (7,400 plus 12,600 bonus), unlimited seats and agents; credits are indexed at $0.005 each, and an 8% orchestration fee applies to task cost (16% when you bring your own model API key). Enterprise is custom. 14-day free trial; no free plan listed. | Self-hosted Community Edition is free. Cloud plans billed annually: Starter 20€/mo (2.5k executions), Pro 50€/mo (10k executions); Business 667€/mo (40k executions, self-hosted only); Enterprise via sales. Executions count whole workflow runs, not steps. Annual billing saves 17%; cloud trial needs no card. |
Independent users treat Gumloop as a fast way to build AI-heavy workflows such as scraping, research and data extraction, and several like its clean interface and built-in AI helper. The trade-off is depth and stability: users report UI bugs on large workflows, runs breaking mid-way, a thinner integration layer than Zapier, and most still reach for n8n when they need control or production reliability. More than a third of the Reddit mentions are promotional, including comments plugging Runable, Doe and other tools, near-identical tool-list replies, and a comparison thread other users called out as astroturfing; this review rests on about 19 independent opinions, many of them brief.
Users like
- Quick to build with for smaller and AI-first jobs: users describe it as fast for prototypes, internal workflows and research automations[1][2][3][4]
- Clean, simple interface and a genuinely helpful AI chatbot for troubleshooting, which heavy Zapier and Make users found easy to pick up[1][2][3]
- Handles LLM steps, scraping and unstructured data more natively than a generic node-based flow, so some users pair it with n8n rather than replace it[1][2][3]
- Lets people who understand the business process build workflows without IT oversight or self-hosting n8n[1][2]
Users complain about
- Buggy and unstable as workflows grow: users report UI blocking and dragging bugs on big workflows, runs breaking mid-way and quirks that make it tricky to use[1][2][3]
- Not trusted for production scale: users keep it for prototypes, say its generated workflows are rough to leave running unattended, and find its integration layer thin next to Zapier[1][2][3]
- Less capable than n8n for complex orchestration: users who tried both say n8n's agent, memory and vector tooling handled what Gumloop choked on[1][2]
- Leans too hard on its own AI: one user could not add an environment variable to a custom node except by asking the assistant, which timed out, and another found its agents added little over a direct ChatGPT prompt[1][2]
Independent users are largely positive: self-hosting keeps running costs low and flat, code nodes and branching handle logic that simpler tools cannot, and many now build workflows by having Claude drive n8n through its MCP server. The trade-off is that it is not really no-code, and self-hosters own the operational work, from security patches on exposed instances to expiring OAuth tokens and a bloating executions database. The sample leans heavily on r/n8n and r/selfhosted; about one in eight comments was promotional, including three accounts steering one thread toward the Blotato scheduler and plugs for Kareenos, Windmill, Ayrshare and a cheap VPS host.
Users like
- Self-hosting keeps costs low and flat: users run it on a Raspberry Pi or a small VPS for a few dollars a month, and pricing is per workflow run rather than per step[1][2][3][4][5]
- Code nodes, loops and branching handle complex logic and odd data transformations without workarounds[1][2][3][4]
- Works well with AI assistants: users have Claude build and fix workflows through the n8n MCP server, though it still makes mistakes on complex expressions[1][2][3][4]
- Execution logs and the visual flow make it easy to find the slow or failing step and to hand workflows to non-technical clients[1][2][3]
Users complain about
- Steeper learning curve than Make or Zapier, and self-hosting is beyond most people's idea of no-code[1][2][3][4][5]
- Self-hosters carry the security risk: it has had pre-auth remote code execution CVEs, and webhook endpoints stay publicly reachable by design[1][2]
- Ongoing maintenance: Google OAuth apps left in testing mode expire tokens every seven days and stop workflows, and an unpruned executions database (1.66 GB in one case) slows the instance[1][2]
- Some developers find it unnecessary or limiting next to plain code, CI tools or AI coding agents[1][2][3][4]