Lindy AI vs Make
A detailed comparison to help you choose between Lindy AI and Make.
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Verdict: Make wins
Make scores 4.2/5, edging out Lindy AI at 3.7/5. Ops-minded individuals and small teams who want visual, branching automation with real debugging and do not need self-hosting.
Lindy AI Your AI employee for every workflow | Make Visual automation platform for everyone | |
|---|---|---|
| Rating | 3.7 (1 review) | 4.2 (1 review) |
| Pricing Model | freemium | freemium |
| Starting Price | Free tier available | Free tier available |
| Best For | Founders and executives who want an AI assistant to own inbox triage, scheduling, meeting prep and follow-up drafts without building workflows themselves. | Ops-minded individuals and small teams who want visual, branching automation with real debugging and do not need self-hosting. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | no codefree tier | no codefree tier |
| Visit Lindy AI → | Visit Make → |
Lindy AI
Pros
- + Inbox triage matched my own sorting on roughly 4 of 5 messages in a week of real mail
- + SMS/iMessage access to a real pre-meeting digest worked well away from the desk
- + Credits pause instead of overaging when the pool runs out — no surprise bills, confirmed in docs and in my run
- + Calendar write actions landed correctly every time in my testing
- + Plain-English agent setup: a post-call follow-up flow built from a prompt in about 15 minutes
Cons
- - Credit consumption is hard to forecast before use; '3k credits/user/month' does not translate into meetings or emails
- - Lindy's own websites disagree on plan names, prices and credit allowances (Plus $29.99 vs $49.99; Free/Pro/Business vs Plus/Pro/Max)
- - Phone calls are English-only with a single concurrent call on entry tiers
- - Drafts on long CC-heavy or mixed-language threads were occasionally tone-deaf, so auto-send felt risky
- - Notion write actions needed an occasional retry in my runs
Make
Pros
- + Visual bundle-level debugger: in my router test I traced dropped records to a timezone filter in under a minute, something Zapier's flat step log makes slow
- + Credit pricing stays cheap at realistic volumes — 10,000 credits/month tiers started at $9–$12/mo billed annually at time of writing (make.com/en/pricing)
- + HTTP, JSON, and XML modules are strong enough to replace custom code for most API glue work in my builds
- + Error handling is explicit: scoped error handlers and break directives mean one bad record does not kill a whole run
- + Celonis ownership and a product dating to 2012 (as Integromat) give it one of the longer reliability track records in the category
Cons
- - Polling triggers burn credits on every scheduled check whether or not data changed; my naive 1-minute poll ate budget until I moved to webhooks
- - No self-hosting and no source-available license — cloud-only, which rules it out for data-residency requirements
- - Run history on the free plan is short (three days at time of writing), so debugging real incidents needs a paid plan
- - The concepts curve (bundles vs arrays, iterators, aggregators) is steeper than Zapier's; expect a week before complex flows feel natural
- - Pricing is inconsistent across sessions — Make has served different Core/Pro/Teams price cards ($9/$16/$29 vs $12/$21/$38 annually), so confirm your quote
Frequently Asked Questions
Which is better, Lindy AI or Make?▼
Make scores higher at 4.2/5 vs 3.7/5 for Lindy AI, making it the better-rated option in our comparison.
What is the difference between Lindy AI and Make?▼
Lindy AI: Lindy builds AI assistants that connect to a company's tools and carry out recurring work such as email, scheduling and CRM updates. Make: Make is a visual automation platform where you connect apps and build multi-step workflows by drawing them on a canvas.
Is Lindy AI or Make more affordable?▼
Lindy AI starts at €0/mo, Make starts at €0/mo. Check the comparison table above for current pricing.
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