Lindy vs Relevance AI
 Lindy |  Relevance AI | |
|---|---|---|
| Sentiment | ||
| Score | 24/100 | 42/100 |
| Rank in category | #7 | #4 |
| Rated comments | 14 | 15 |
| Best for | Non-technical users automating email, scheduling and admin work; Recurring, templated tasks that justify the setup time | Non-developers prototyping AI agents that call tools; Teams willing to budget carefully for credit-based usage |
| Skip it if | 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 | High-volume chatbots answering many queries; Beginners who want to understand how their automations work underneath; Tight budgets |
| Starting price | $49.99/mo | Custom pricing |
| Pricing (vendor-stated) | 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. | Sales-led pricing; the pricing page lists only a custom Enterprise plan (custom actions and vendor credits, unlimited agents, users and workforces) with no public prices or self-serve plans. |
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]
Independent discussion is thin: about 15 opinions, several of them one-line recommendations, and most first-hand reports date from 2024 and 2025. Users who built with it say it is easy to pick up for no-code agents, but credits make it expensive, free-plan limits run out mid-build, and it has limits on heavier tasks. A third of the mentions are promotional, mostly replies that name Relevance AI while plugging another product such as SimplAI, Marblism or a competing agent builder.
Users like
- Easy to pick up for building agents without code; users call it one of the easiest builders and used it to prototype quickly[1][2][3][4]
- Capable enough for real data work: one user built a 40,000-record name-matching and vectorization system in four weeks with tutorials, after paid developers failed[1]
Users complain about
- Credits get expensive: every action costs credits, users ran out quickly or hit free-plan limits before finishing a build, and one team found it too expensive for what it needed[1][2][3]
- Limited for heavier work: response times slow on more intense tasks, it is a poor fit as a chatbot, and users note limits on what it can do[1][2]
- Abstracts too much for learning: an experienced builder advises beginners to avoid it because you end up not knowing why things work or break[1]