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BUILDABILITY.
Audit Journal · Vol. 01 · Issue 14Edition · Dark
Live audit enginev4.2

Is thisrebuildable?

An institutional framework for assessing SaaS durability, moat density, and translation efficiency into AI-native architectures.

Method · Standfirst

We grade software the way credit agencies grade debt — by what survives stress. Every product receives a Buildability Index® — a single, comparable score from 0 to 100 — alongside moat density and translation vector. One executable seed prompt. Zero opinions about taste.

The corpus

Wave 1 Corpus · 0 / 12

Twelve products chosen on purpose. The corpus is not a sample, it is an argument — the Surface Fallacy proof set for framework v1.1.0.

Roster0 / 12 published
  • notion.so
  • okta.com
  • datadoghq.com
  • hubspot.com
  • dropbox.com
  • zendesk.com
  • docusign.com
  • asana.com
  • salesforce.com
  • atlassian.com
  • gitlab.com
  • klaviyo.com

How it scores

Rubric · v1.1.0

Buildability Index

01

Reconstructibility of the surface and core workflows.

  • Component pattern recognizability
  • Data model commodity exposure
  • Integration surface depth
  • Auth & permission complexity
  • Real-time / sync requirements
  • Third-party API dependency profile
  • Custom logic density
  • Visual identity coherence

Moat Density

02

What survives when the surface is removed.

  • Proprietary data accumulation
  • Network effects
  • Regulatory / trust positioning
  • Operational / physical complexity
  • Distribution & channel advantages
  • Switching costs & embedded workflows
  • Brand & community depth

Lovability Fit

03

Translation efficiency into a Lovable-native architecture. Calibrated weights in v1.1.0.

  • Native component fit
  • Prompt one-shot efficiency
  • Supabase integration depth
  • Routing, state & auth alignment
  • Edge-case profile
  • Iteration cost (seed → production)