Automation & Workflows

Lindy vs Make.

Both sit in Automation & Workflows, scored on the same six pillars from the same published methodology. Here is where they actually differ.

The short answer

Make scores higher — 84.3 against 79.8, a margin of 4.5 points. That is the overall answer, not the whole one: the pillar breakdown below is where the decision usually actually gets made.

Lindy leads on momentum; Make leads on maturity & reliability, value for money and security & compliance.

Lindy

Lindy

79.8

Strong

No-code AI agents that automate work across your everyday apps.

From
Free / $49.99 per month
Pricing
Freemium
Maturity
Emerging
Founded
2023
Make

Make (Celonis)

84.3

Excellent

Visual automation builder with deep branching and AI steps.

From
Free / $9 per month (Core)
Pricing
Freemium
Maturity
Established
Founded
2016

Pillar by pillar

The same six pillars and fixed weights used for every tool on the site. A lead of fewer than 5 points is not called for either side — these are evidence-backed judgements, not measurements. Read the methodology.

Capability

Level

Lindy80
Make84

Value for Money

Make by 10

Lindy78
Make88

Security & Compliance

Make by 6

Lindy74
Make80

Integrations & Ecosystem

Level

Lindy86
Make90

Maturity & Reliability

Make by 14

Lindy70
Make84

Momentum

Lindy by 7

Lindy87
Make80

Which one, and when

Pick Lindy if

  • where the product will be in a year matters as much as today — it leads Momentum by 7 points.
  • Email triage and scheduling agents
  • Sales and ops automation
  • Upgrading Zapier-style flows with AI

The catch

  • Young platform, still maturing
  • Credit pricing on heavy automations
Full Lindy profile →

Pick Make if

  • it has to hold up in production from day one — it leads Maturity & Reliability by 14 points.
  • cost per unit of output is the binding constraint — it leads Value for Money by 10 points.
  • compliance and data control decide it — it leads Security & Compliance by 6 points.
  • Complex multi-step automations
  • Ops teams replacing manual glue work
  • Budget-conscious no-code builders

The catch

  • Steeper learning curve than the simplest automation tools
  • Operation-based billing can spike on high-volume scenarios
Full Make profile →

What each is good at

Lindy

  • Agent reasoning plus classic trigger automation
  • Thousands of app integrations out of the box
  • Human-in-the-loop approvals built in

Make

  • Visual canvas handles complex branching, loops and error handling
  • Generous operations pricing versus per-task competitors
  • Native AI modules drop LLM calls into any workflow

Other comparisons in Automation & Workflows

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