Gumloop vs Lindy
 Gumloop |  Lindy | |
|---|---|---|
| Sentiment | ||
| Score | 32/100 | 24/100 |
| Rank in category | #6 | #7 |
| Rated comments | 19 | 14 |
| 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 | Non-technical users automating email, scheduling and admin work; Recurring, templated tasks that justify the setup time |
| 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 | Ad hoc inbox triage, where setup can outweigh the time saved; Complex or API-heavy automations; Heavy usage on a tight budget; Teams that need self-hosting or control over which AI models handle their data |
| Starting price | $37/mo | $49.99/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. | Team plan from $49.99/mo per active user with 5,000 credits each, with larger tiers up to 1,750,000 credits for $9,999.50/mo; top-ups cost $10 per 1,000 credits and monthly credits don't roll over. New users get $50 in credits for 7 days with no card required. Enterprise is custom. |
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]
The few independent users who report hands-on use say Lindy is very easy to start with and useful for scheduling, email and admin work, but that credits burn fast, setup takes real tinkering before it saves time, and it is limited for complex or production work; one user left over an unannounced switch to DeepSeek models. About half the Reddit mentions are promotional, including roughly 16 near-identical comments posted in August to October 2026 across r/automation, r/SaaS and r/zapier that all repeat the same "turns emails into follow-up tasks" talking point, and an earlier cluster in March 2026. Independent discussion is thin: this review rests on about 14 opinions.
Users like
Users complain about
- Expensive to run: one user burned through $30 of free credits in a few hours on a simple email-labelling workflow, and another calls it incredibly overpriced[1][2]
- Setup tax is high: users needed about a week of tinkering, found it a pain to set up, or spent longer training it than doing their emails by hand[1][2][3]
- Limited for complex or production work: users found it could not do everything a cold outreach agent needed, weak on classic API automations, and rough to leave running unattended[1][2][3][4]
- Data control concerns: no self-hosting option, and one user left after Lindy moved to DeepSeek models without notifying customers[1][2]