HASH: 0x0e6f...1075 • SNAPSHOT: 2026-09-17 • CORPUS: APP BUILDERS CATEGORY • DIMS V2-5DIM verified SCORING RUBRIC v2

EMPIRICAL BENCHMARK DOSSIER N=2 ARCHIVED TOOLS • 5 DIMENSIONS

Dyad vs Lovable: generative scaffolding vs deterministic deployment

Dyad (free, local-first, open source AI app builder for your desktop) and Lovable (prompt-to-app builder with instant deploy and GitHub sync) 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 2026-09-17. Which app builders tool should teams standardize on?

workspace_premium AiRecMark Verified Winner

Lovable Wins by +0.2 Overall Points

Lovable (81.2/100) leads the Airecmark five-dimension composite, taking Output Quality, Feature Depth, Usability. Dyad (81.0/100) stays ahead on Value for Money. Dyad entry pricing is roughly 20% lower ($20/mo).

Delta: +0.2 Composite Score Dyad Value for Money Lead: +8 pts

Dyad 81.0

Output Quality80

Feature Depth78

Usability84

Performance78

Value for Money

Inspect Dyad →

Lovable 81.2

Output Quality

Feature Depth

Usability

Performance78

Value for Money78

Inspect Lovable →

Archive vectors

5-Axis Differential Engine Performance

Dyad

Lovable

Value for Money +8.0 pt Lead

Dyad takes Value for Money by 8.0 points (86 vs 78) on AiRecMark's deterministic five-dimension index.

DYAD (86)86 / 100

LOVABLE (78)78 / 100

Usability

Lovable takes Usability by 4.0 points (88 vs 84) on AiRecMark's deterministic five-dimension index.

LOVABLE (88)88 / 100

DYAD (84)84 / 100

Output Quality

Lovable takes Output Quality by 3.0 points (83 vs 80) on AiRecMark's deterministic five-dimension index.

LOVABLE (83)83 / 100

DYAD (80)80 / 100

Scenario Architecture

Choose Your App Builders Tool by Working Style

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

terminal

Standardize on Dyad if...

Optimized for: Privacy-Minded Builders Who Own Their Code

check_circle Leads Value for Money (86 vs 78): a 8-point edge on the deterministic index.
check_circle Runs locally with no vendor lock-in: cited in the Airecmark editorial assessment as a differentiator versus Lovable.
check_circle Works with OpenAI, Anthropic, Google, Ollama and local models: cited in the Airecmark editorial assessment as a differentiator versus Lovable.
check_circle One-click Supabase/Neon and GitHub/Vercel: cited in the Airecmark editorial assessment as a differentiator versus Lovable.

SUBSCRIPTION TIER

Try Dyad arrow_forward freemium • from $20/mo • Dyad

speed

Standardize on Lovable if...

Optimized for: Founders and product teams shipping MVPs without dev ops

check_circle Composite lead (81.2/100): tops the Airecmark index against Dyad (81.0/100) on the archive-recorded five-dimension composite.
check_circle Leads Output Quality (83 vs 80): a 3-point edge on the deterministic index.
check_circle Fastest prompt-to-deploy loop among builders: cited in the Airecmark editorial assessment as a differentiator versus Dyad.
check_circle Not seat-based — unlimited members, credit pricing: cited in the Airecmark editorial assessment as a differentiator versus Dyad.

SUBSCRIPTION TIER $25 / mo

Try Lovable arrow_forward freemium • from $25/mo • Lovable AI AB

Empirical Breakdown

5-Axis Benchmark Deep Dive

Dimension scores are drawn from the AiRecMark tool archives (V2-5DIM, as of 2026-09-17) 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

DYAD: 8 / 10 LOVABLE: 8.3 / 10

Dyad — Output Quality

Dyad posts 80 / 100 on Output Quality. The audit highlights runs locally with no vendor lock-in and works with OpenAI, Anthropic, Google, Ollama and local models as its signature strengths.

Lovable — Output Quality

Lovable posts 83 / 100 on Output Quality. The audit highlights fastest prompt-to-deploy loop among builders and not seat-based — unlimited members, credit pricing as its signature strengths.

AXIS 02

Feature Depth

Breadth, maturity and extensibility of the capability set

DYAD: 7.8 / 10 LOVABLE: 8 / 10

Dyad — Feature Depth

Dyad posts 78 / 100 on Feature Depth. The audit highlights runs locally with no vendor lock-in and works with OpenAI, Anthropic, Google, Ollama and local models as its signature strengths.

Lovable — Feature Depth

Lovable posts 80 / 100 on Feature Depth. The audit highlights fastest prompt-to-deploy loop among builders and not seat-based — unlimited members, credit pricing as its signature strengths.

AXIS 03

Usability

Onboarding, interface clarity and daily ergonomics

DYAD: 8.4 / 10 LOVABLE: 8.8 / 10

Dyad — Usability

Dyad posts 84 / 100 on Usability. The audit highlights runs locally with no vendor lock-in and works with OpenAI, Anthropic, Google, Ollama and local models as its signature strengths.

Lovable — Usability

Lovable posts 88 / 100 on Usability. The audit highlights fastest prompt-to-deploy loop among builders and not seat-based — unlimited members, credit pricing as its signature strengths.

AXIS 04

Performance

Speed, stability and consistency under production load

DYAD: 7.8 / 10 LOVABLE: 7.8 / 10 STATISTICAL TIE

Dyad — Performance

Dyad posts 78 / 100 on Performance. The audit highlights runs locally with no vendor lock-in and works with OpenAI, Anthropic, Google, Ollama and local models as its signature strengths.

Lovable — Performance

Lovable posts 78 / 100 on Performance. The audit highlights fastest prompt-to-deploy loop among builders and not seat-based — unlimited members, credit pricing as its signature strengths.

AXIS 05

Value for Money

Pricing fairness relative to delivered capability

DYAD: 8.6 / 10 LOVABLE: 7.8 / 10

Dyad — Value for Money

Dyad posts 86 / 100 on Value for Money. Published entry pricing: Free (BYO API key) · Pro $20/mo (200 credits) · Max $79/mo (900 credits).

Lovable — Value for Money

Lovable posts 78 / 100 on Value for Money. Published entry pricing: Pro $25 / mo (100 credits) · Free daily credits.

Feature-by-Feature Matrix

Exhaustive Technical Specification Diff

COMPLIANCE: AIRECMARK EVALUATION PROTOCOL V2.4

Capability / Specification	Dyad ($20/mo)	Lovable ($25/mo)	Deterministic Winner
Overall AirecMark Score Composite of the five recorded dimensions	81.0 / 100	81.2 / 100	Lovable (Composite lead)
Output Quality Accuracy, depth and reliability of primary outputs	80 / 100	83 / 100	Lovable (+3 pts)
Feature Depth Breadth, maturity and extensibility of the capability set	78 / 100	80 / 100	Lovable (+2 pts)
Usability Onboarding, interface clarity and daily ergonomics	84 / 100	88 / 100	Lovable (+4 pts)
Performance Speed, stability and consistency under production load	78 / 100	78 / 100	Tie (Identical score)
Value for Money Pricing fairness relative to delivered capability	86 / 100	78 / 100	Dyad (+8 pts)
Starting Price Published entry pricing (USD)	Free (BYO API key) · Pro $20/mo (200 credits) · Max $79/mo (900 credits)	Pro $25 / mo (100 credits) · Free daily credits	Dyad (Lower entry price)
Best For Documented target audience	Privacy-Minded Builders Who Own Their Code	Founders and product teams shipping MVPs without dev ops	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 Dyad and Lovable 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 Dyad and Lovable start from the same baseline.

SETUP: SAME BASELINE

02

Map Pricing to Your Real Usage

Compare published entry tiers against your expected volume. Dyad starts at $20/mo (freemium); Lovable starts at $25/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 0.2-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 2026-09-17 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

Archive record