TrustDebt
No-code + vibe-coded MVP audit

The pre-launch audit checklist for no-code and vibe-coded apps.

Bubble, Lovable, Base44, Replit, Cursor, and Claude can get an MVP live fast. The risk is that the happy path works while privacy rules, auth edge cases, payment failures, duplicate workflows, exposed keys, and launch trust signals stay unreviewed.

Built for launch decisions No backend overclaims Evidence before traffic
Trust QA snapshot85
01

The happy path hides the launch risk

02

No-code permissions are easy to leave open

03

Trust signals are visible before the backend is

OutputAudit packetScore, evidence, severity, manual checks, next fixes
Before launch
Practical checklist

Manual checks founders should run before traffic.

This page is the deeper founder checklist. The scanner covers visible public-page signals; backend, auth, payments, and database risks still need human review.

Check privacy rules, RLS, and data access manually for every user-owned table or data type before launch.

Log in as a non-admin test user and confirm they cannot read or modify another user, account, workspace, or order.

Test auth edge cases: duplicate signup, password reset, expired verification links, cancelled subscriptions, and locked-out users.

Run the flows users actually hit when things go wrong: repeated signup, reset password, expired verification, cancellation, and locked account recovery.

Review duplicate workflows and repeated triggers that can fire twice or burn no-code workload units silently.

Sort workflows/triggers and look for duplicates that run on the same event, especially AI-added features and Bubble workload-heavy actions.

Audit database structure for multi-tenancy, field types, pagination, and demo-only models that break at real scale.

Check whether users, listings, messages, payments, reviews, and workspaces are separate records instead of one overloaded demo table.

Look for N+1 searches, unpaginated lists, repeating groups, and full-table loads hidden behind a polished UI.

Look for repeating groups, searches inside searches, full-table loads, and unpaginated lists that will fail after real traffic arrives.

Verify Stripe failure paths, refunds, disputes, subscription cancellation, and webhook handling beyond checkout success.

Confirm failed payments, cancelled subscriptions, refunds, disputes, and webhook retries do not leave paid access turned on by mistake.

Confirm API errors show useful messages and produce logs instead of white screens or silent failures.

Force API failures and make sure users see a useful message while operators get enough logs to debug production incidents.

Rotate exposed keys and remove hardcoded credentials from client code, repos, plugins, and AI chat history before launch.

Rotate anything pasted into AI chats, client-side code, plugin settings, or old commits before launch.

Run the public TrustDebt scan for consent, trackers, privacy links, form-label evidence, accessibility basics, security headers, and public trust proof.

Use the scanner for what is visible from the outside: consent, trackers, policies, labels, headers, and the shareable proof artifact.

Common issues

What polished launches still miss.

For founders launching Bubble, Lovable, Base44, Replit, Cursor, Claude, and no-code MVPs, these are the gaps that make a launch feel risky once real visitors, clients, or paid traffic arrive.

The happy path hides the launch risk

Most founders test signup, checkout, and the demo as themselves, then miss expired links, failed payments, cancelled subscriptions, and cross-user data access.

No-code permissions are easy to leave open

RLS rules, Bubble privacy rules, or developer-mode permissions can expose user data even when the interface looks locked down.

Trust signals are visible before the backend is

Visitors see missing policies, fake consent, unlabeled forms, weak contact paths, and exposed tracking risk before they ever learn whether the app works.

Deep dive

What founders launching Bubble, Lovable, Base44, Replit, Cursor, Claude, and no-code MVPs need to know before they ship.

The real cost of skipping trust QA

A Bubble app with open privacy rules can expose user data across accounts in seconds. A Lovable MVP with Stripe webhooks silently failing costs real revenue on launch day. A Replit app with hardcoded API keys is one view-source away from a breach. For no-code and vibe-coded MVPs, the trust gap isn't theoretical — it's visible on every PH launch thread.

The checklist most founders skip

Founders test signup, checkout, demo. They skip: expired verification links, duplicate signup, cancelled subscriptions, locked-out recovery, cross-tenant data access, webhook failures. Manual testing takes 30 minutes and saves weeks of firefighting.

What TrustDebt catches that QA won't

Human QA checks visuals and click paths. TrustDebt checks the public trust surface: consent scripts firing before interaction, third-party hosts loading undisclosed, missing form labels, absent security headers, legal links to 404s, and AI-generated compliance claims.

What TrustDebt gives you

Use the free scan for visible trust signals. Use the audit when the launch decision matters.

The paid packet adds screenshots, severity ratings, a prioritized fix list, manual backend-risk checklist, and an AI Fix Prompt for the build workflow.

1. Create account and scan the live URL2. Review manual backend risks3. Fix, re-scan, then share proof
FAQ

Fast answers before you scan.

Can TrustDebt automatically detect RLS or Bubble privacy-rule leaks?

No. The free scanner checks public trust signals from the outside. RLS, data permissions, auth flows, payments, logging, database modeling, and duplicate workflows require manual founder audit or platform-specific review.

What does the free account scan cover?

It checks public-page evidence: privacy and legal links, consent/tracker signals, visible form-label evidence, accessibility basics, security headers, and AI Fix Prompts. It does not inspect private backend rules.

How does this justify a paid audit?

The paid audit turns the checklist into a written report with screenshots, severity ratings, prioritized fixes, manual backend-risk review, and an AI Fix Prompt.

Trust before traffic

Check the trust layer before visitors find the gaps.

Create a free account for 3 scans. Use the $29 Launch Audit when you need a written launch decision packet.

Create free account to scan 3 scans on 1 domain. No credit card.