AiRecMark/Comparisons/Lindy vs Make
HASH: 0x6511...9e7e SNAPSHOT: 2026-09-06 CORPUS: WORKFLOW AUTOMATION CATEGORY • DIMS V2-5DIM
EMPIRICAL BENCHMARK DOSSIER N=2 ARCHIVED TOOLS • 5 DIMENSIONS

Lindy vs Make: trigger reliability against transformation depth

Lindy (aI employees (agents) that automate workflows from your browser, email and meetings) and Make (visual automation with 2,000+ app integrations) go head-to-head across AiRecMark's deterministic five-dimension index — quality, features, usability, performance and value — with every score drawn from published tool archives as of 2026-09-06. Which workflow automation tool should teams standardize on?

workspace_premium AiRecMark Verified Winner

Make Wins by +4.0 Overall Points

Make (84.7/100) leads the Airecmark five-dimension composite, taking Output Quality, Feature Depth, Performance, Value for Money. Lindy (80.7/100) stays ahead on Usability.

Delta: +4.0 Composite Score Make Output Quality Lead: +3 pts Lindy Usability Lead: +8 pts
Lindy 80.7
Output Quality82
Feature Depth82
Usability84
Performance80
Value for Money76
Inspect Lindy →
Make 84.7
Output Quality85
Feature Depth88
Usability76
Performance84
Value for Money88
Inspect Make →
Archive vectors

5-Axis Differential Engine Performance

Lindy
Make
Value for Money +12.0 pt Lead

Make takes Value for Money by 12.0 points (88 vs 76) on AiRecMark's deterministic five-dimension index.

MAKE (88)88 / 100
LINDY (76)76 / 100
Usability +8.0 pt Lead

Lindy takes Usability by 8.0 points (84 vs 76) on AiRecMark's deterministic five-dimension index.

LINDY (84)84 / 100
MAKE (76)76 / 100
Feature Depth +6.0 pt Lead

Make takes Feature Depth by 6.0 points (88 vs 82) on AiRecMark's deterministic five-dimension index.

MAKE (88)88 / 100
LINDY (82)82 / 100
Scenario Architecture

Choose Your Workflow Automation Tool by Working Style

Both tools sit near the top of the workflow automation category, but their dimension profiles and pricing models produce clearly distinct working styles.

terminal

Standardize on Lindy if...

Optimized for: Teams delegating recurring ops tasks to shareable AI agents with pooled credits
  • check_circle Leads Usability (84 vs 76): a 8-point edge on the deterministic index.
  • check_circle Transparent credit math (2–2,500 credits per task): cited in the Airecmark editorial assessment as a differentiator versus Make.
  • check_circle No surprise overage bills — pauses when dry: cited in the Airecmark editorial assessment as a differentiator versus Make.
  • check_circle Slack-native agent onboarding: cited in the Airecmark editorial assessment as a differentiator versus Make.
SUBSCRIPTION TIER $29.99 / user/mo
Try Lindy arrow_forward freemium • from $29.99/user/mo • Lindy AI
speed

Standardize on Make if...

Optimized for: Power users automating multi-step cross-app workflows
  • check_circle Composite lead (84.7/100): tops the Airecmark index against Lindy (80.7/100) on the archive-recorded five-dimension composite.
  • check_circle Leads Output Quality (85 vs 82): a 3-point edge on the deterministic index.
  • check_circle ~13x more volume per dollar vs Zapier's entry plan: cited in the Airecmark editorial assessment as a differentiator versus Lindy.
  • check_circle Visual builder with deep branching logic: cited in the Airecmark editorial assessment as a differentiator versus Lindy.
SUBSCRIPTION TIER $12 / mo
Try Make arrow_forward freemium • from $12/mo • Make (Celonis)
Empirical Breakdown

5-Axis Benchmark Deep Dive

Dimension scores are drawn from the AiRecMark tool archives (V2-5DIM, as of 2026-09-06) on a 0-100 scale; per-axis winner calls use the higher dimension score with deterministic tie handling.

AXIS 01

Output Quality

Accuracy, depth and reliability of primary outputs
LINDY: 8.2 / 10 MAKE: 8.5 / 10 WINNER: MAKE
Lindy — Output Quality

Lindy posts 82 / 100 on Output Quality. The audit highlights transparent credit math (2–2,500 credits per task) and no surprise overage bills — pauses when dry as its signature strengths.

Make — Output Quality

Make posts 85 / 100 on Output Quality. The audit highlights ~13x more volume per dollar vs Zapier's entry plan and visual builder with deep branching logic as its signature strengths.

AXIS 02

Feature Depth

Breadth, maturity and extensibility of the capability set
LINDY: 8.2 / 10 MAKE: 8.8 / 10 WINNER: MAKE
Lindy — Feature Depth

Lindy posts 82 / 100 on Feature Depth. The audit highlights transparent credit math (2–2,500 credits per task) and no surprise overage bills — pauses when dry as its signature strengths.

Make — Feature Depth

Make posts 88 / 100 on Feature Depth. The audit highlights ~13x more volume per dollar vs Zapier's entry plan and visual builder with deep branching logic as its signature strengths.

AXIS 03

Usability

Onboarding, interface clarity and daily ergonomics
LINDY: 8.4 / 10 MAKE: 7.6 / 10 WINNER: LINDY
Lindy — Usability

Lindy posts 84 / 100 on Usability. The audit highlights transparent credit math (2–2,500 credits per task) and no surprise overage bills — pauses when dry as its signature strengths.

Make — Usability

Make posts 76 / 100 on Usability. The audit highlights ~13x more volume per dollar vs Zapier's entry plan and visual builder with deep branching logic as its signature strengths.

AXIS 04

Performance

Speed, stability and consistency under production load
LINDY: 8 / 10 MAKE: 8.4 / 10 WINNER: MAKE
Lindy — Performance

Lindy posts 80 / 100 on Performance. The audit highlights transparent credit math (2–2,500 credits per task) and no surprise overage bills — pauses when dry as its signature strengths.

Make — Performance

Make posts 84 / 100 on Performance. The audit highlights ~13x more volume per dollar vs Zapier's entry plan and visual builder with deep branching logic as its signature strengths.

AXIS 05

Value for Money

Pricing fairness relative to delivered capability
LINDY: 7.6 / 10 MAKE: 8.8 / 10 WINNER: MAKE
Lindy — Value for Money

Lindy posts 76 / 100 on Value for Money. Published entry pricing: $29.99 / user / mo (Plus, 3k credits).

Make — Value for Money

Make posts 88 / 100 on Value for Money. Published entry pricing: Core $12 / mo (10k credits) · Free 1k credits.

Feature-by-Feature Matrix

Exhaustive Technical Specification Diff

COMPLIANCE: AIRECMARK EVALUATION PROTOCOL V2.4
Capability / Specification Lindy ($29.99/user/mo) Make ($12/mo) Deterministic Winner
Overall AirecMark Score
Composite of the five recorded dimensions
80.7 / 100 84.7 / 100 Make (Composite lead)
Output Quality
Accuracy, depth and reliability of primary outputs
82 / 100 85 / 100 Make (+3 pts)
Feature Depth
Breadth, maturity and extensibility of the capability set
82 / 100 88 / 100 Make (+6 pts)
Usability
Onboarding, interface clarity and daily ergonomics
84 / 100 76 / 100 Lindy (+8 pts)
Performance
Speed, stability and consistency under production load
80 / 100 84 / 100 Make (+4 pts)
Value for Money
Pricing fairness relative to delivered capability
76 / 100 88 / 100 Make (+12 pts)
Starting Price
Published entry pricing (USD)
$29.99 / user / mo (Plus, 3k credits) Core $12 / mo (10k credits) · Free 1k credits Tie (Different pricing models)
Best For
Documented target audience
Teams delegating recurring ops tasks to shareable AI agents with pooled credits Power users automating multi-step cross-app workflows Tie (Use-case dependent)
Engineering Operations

Migration Playbook: Switching Without Friction

Swapping a daily driver mid-project is costly. Follow this three-step checklist to evaluate Lindy and Make on equal terms before standardizing your team.

01

Export Config, Prompts & Data

Inventory what each candidate needs: prompt libraries, templates, connected accounts and project files. Export from your current stack first so Lindy and Make start from the same baseline.

SETUP: SAME BASELINE
02

Map Pricing to Your Real Usage

Compare published entry tiers against your expected volume. Lindy starts at $29.99/user/mo (freemium); Make starts at $12/mo (freemium) — model the monthly cost at your actual workload before committing.

ECONOMICS: PUBLISHED TIERS
03

Run a Two-Week Parallel Trial

Run both tools on the same live tasks for ten working days. Score outputs against the five Airecmark dimensions, then let the 4.0-point composite gap — not vendor marketing — decide the standardization call.

balance

Deterministic Evaluation Methodology & Integrity Standard

AiRecMark evaluates every tool against its deterministic five-dimension index (Quality, Features, Usability, Performance, Value) using official documentation, published pricing pages and the published five-dimension rubric. All scores, deltas and winner calls in this dossier are drawn from the published tool archives as of 2026-09-06 and can be traced back to the public tool profiles.

Affiliate Blind Trust Policy: Any referral commissions or partner links generated through AiRecMark are routed into a blind trust utilized exclusively to fund bare-metal compute benchmarks. Zero sponsored placement or ranking distortion is permitted under any circumstances.

BENCHMARK ENGINE: AIRECMARK-DETERMINISTIC-V2.4 SOURCE: DATA/TOOLS/*.JSON
VERDICT SUMMARY