Sample only · fake data · early whitelist · not a security audit

Vibe-coded Production Readiness Scanner

A plain-English AI-built app readiness sample report before you launch

Built a small app with Cursor, Lovable, Replit, Bolt, Claude Code, or another AI coding tool? Before you share it publicly, see what a launch-readiness report could look like — using fake sample data and simple explanations.

Join the early whitelist

No private repo access. No API keys. No production data. This is an early whitelist for people who want this kind of plain-English readiness check.

Launch friction

AI-built apps can feel ready before they are ready to be shared

Vibe coding makes it easier to turn an idea into a working demo. But the last step before a public launch is often the hardest to judge — especially if you are not a full-time engineer.

You may have a working login screen, a database, a few AI calls, and a polished UI. That does not always mean the app is ready for Product Hunt, a client demo, a public community post, or real users.

A readiness report should help you understand practical launch risks in plain English, such as:

  • whether secrets or API keys could be exposed in the wrong place;
  • whether database read/write rules are too open;
  • whether anonymous users can abuse AI calls or sign-up flows;
  • whether AI API usage could create unexpected costs;
  • whether errors reveal internal details;
  • whether privacy expectations are clear enough for early users.

This page is not asking you to connect a private repository or upload sensitive data. It is only showing the shape of a simple report and collecting early whitelist interest.

What the sample report shows

Sample readiness report

The sample below is a fake-data example of what a launch-readiness report could look like. It is designed for builders who want a practical pass/fail-style summary without reading a traditional security audit.

It does not prove that a scanner is running. It does not use real customer data. It does not certify that any app is safe to launch.

Sample readiness report

Sample only · fake data · not a security audit
Illustrative only
AppAI itinerary planner demo app
StageAbout to launch publicly
Built withAI coding workflow + hosted database + AI API
Input usedFake/anonymized example details only
Overall readiness Needs fixes before launch

This example app looks useful as a demo, but it is not ready to be shared widely. The main concerns are not advanced security issues. They are basic launch-readiness problems: where secrets live, how database rules behave, how anonymous usage is controlled, and what happens when AI calls fail.

Plain-English summary

The app appears to depend on an AI API and a hosted database. In this sample, some sensitive configuration may be too close to the browser-facing part of the app, which could put keys or usage at risk. The database rules also need a careful review before real users are invited.

The app should add clearer limits before public launch. Without rate limits, usage caps, or abuse controls, a small demo can become expensive or noisy quickly. Error messages should also be made safer so users do not see internal details when something breaks.

This does not mean the idea is bad. It means the app needs a short launch-readiness pass before it is shared with strangers, customers, or public communities.

1. Secrets & API keys

Needs attention

API keys should not be exposed in browser code, public files, screenshots, shared demos, or client-side environment variables. If a key can be viewed by users, it can potentially be copied and abused.

  • Move secrets to a server-side environment.
  • Do not paste API keys into public demos, forms, READMEs, or client-side code.
  • Rotate any key that may have been exposed during development.

2. User data & database rules

Needs attention

A hosted database can work perfectly in a demo while still being too open for public use. If read/write rules are too broad, users may access, edit, or create data in ways you did not intend.

  • Review who can read each table or collection.
  • Review who can create, update, or delete records.
  • Test behavior as a logged-out user, a normal user, and an admin-like user.

3. Auth & abuse controls

Example risk

If anonymous users can repeatedly trigger expensive or state-changing actions, a public launch can create abuse risk even without a sophisticated attacker.

  • Add limits to repeated actions.
  • Protect expensive AI calls behind basic usage controls.
  • Make sure admin actions are not available to normal users.

4. Cost runaway risk

Needs attention

AI APIs can create real cost from repeated prompts, retries, bots, or unexpected usage. A small public post can bring more traffic than expected.

  • Add daily or per-user usage caps.
  • Set provider-side budget alerts where available.
  • Log usage volume without storing sensitive prompt content unnecessarily.

5. Error handling

Needs attention

When an app fails, users should see a helpful message — not internal stack traces, database errors, hidden routes, or implementation details.

  • Replace raw technical errors with safe user-facing messages.
  • Keep detailed logs private and minimal.
  • Test common failure cases before sharing the app publicly.

Suggested next steps

  1. Move secrets and sensitive configuration server-side before public sharing.
  2. Review database read/write rules with logged-out, normal-user, and admin-like scenarios.
  3. Add basic usage caps, rate limits, or budget alerts before inviting public traffic.

This sample uses fake or anonymized data and does not represent a completed scan. It is not a security audit, vulnerability scan, compliance certification, or guarantee that an app is safe to launch.

Fit

Built for small AI-app builders, not formal security programs

This may be useful if you are:

  • a non-technical founder preparing to share an AI-built app;
  • an indie hacker launching a prototype or side project;
  • a developer moving quickly with AI coding tools;
  • an agency testing small AI app ideas with clients;
  • someone who wants practical launch-readiness language, not a formal audit report.

This is not for teams that need:

  • formal penetration testing;
  • compliance certification;
  • SOC2, ISO, legal, or procurement-grade security reporting;
  • private repository scanning;
  • CI/CD integration;
  • production data review;
  • a complete security audit.

Early access interest

Join the early whitelist

Tell us what kind of AI-built app you are preparing to launch. Public demo links are optional. Do not submit private or sensitive data.

Do not submit private repos, API keys, production data, credentials, or customer data.
If something looks like a private repository, token, key, credential, production log, or customer data, the form will ask you to remove it before submission. The sensitive content is not saved.
Builder profile required
Tool usedOptional. Select any tools involved in your build.
Launch stage required
Biggest concernOptional. What are you most unsure about before launch?

FAQ / Trust boundaries

What this page is — and is not

Is this a security audit?

No. This is not a security audit, penetration test, vulnerability scan, compliance certification, or guarantee that your app is safe to launch.

The page shows a fake-data sample of what a plain-English readiness report could look like. The early whitelist is for builders who want to express interest in this kind of report.

Is this a vulnerability scanner?

No. This page does not scan your app, connect to your codebase, or inspect private repositories.

The sample report is illustrative. It explains common launch-readiness areas such as API keys, database rules, auth abuse, AI API cost, and error handling in plain English.

Can I submit a private GitHub, GitLab, or Bitbucket repository?

No. Do not submit private repository links, repository tokens, OAuth access, deployment credentials, environment variables, API keys, database connection strings, or production logs. If you include a URL, it should be a public demo link only.

What data should I never share here?

Do not share private repo links, repository tokens, API keys, environment variables, database connection strings, login credentials, production logs, customer data, payment information, sensitive personal information, or anything that grants access to code, cloud resources, CI, admin panels, or production systems.

Who is this for?

It is for people building small AI-assisted apps with tools like Cursor, Lovable, Replit, Bolt, Claude Code, or similar workflows — especially builders who want simple, plain-English launch guidance before sharing an app publicly.

Can non-technical founders use this?

Yes. The sample report is intentionally written in plain English. The goal is to make common launch-readiness concerns easier to understand without requiring you to read a formal security report.

What should I check before launching a vibe-coded app?

At minimum, review secrets/API keys, database rules, auth flows, AI API cost controls, safe error handling, privacy expectations, and whether you are collecting more user data than needed.

Will joining the whitelist guarantee access?

No. Early whitelist access does not guarantee availability, timing, coverage, issue detection, or a completed report.

Do you support CI/CD integration?

No. This stage does not include CI/CD integration, private repository access, automated scanning, login accounts, dashboards, or production workflows.

Is this free or paid?

There is no paid plan or checkout on this page. This stage is only an early whitelist and sample report validation page.

Why use analytics?

Analytics may be used to understand whether visitors view the sample report, start the form, click the CTA, or submit the whitelist form. Analytics should not store API keys, private repo links, credentials, production logs, customer data, or sensitive form content.