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Static project review
Before Users reads bounded project signals such as file paths, manifests, config, and selected text patterns.
Trust center
Static review. Clear boundaries. Safer launch decisions.
Use Before Users with a clear understanding of what happens to your project: static review, read-only imports, masked evidence, and no promise that a report proves complete security.
Review boundary model
Project enters. Code stays still.
Input
ZIP or read-only repository
Bounded static review
Bounded signals become report guidance.
Output
Launch Readiness Report
Safety model
What the review does
Trust starts with knowing the operating model. Before Users turns static project signals into a Launch Readiness Report without trying to run your app.
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Read-only GitHub import
GitHub import is designed to review one selected repository without creating comments, pull requests, or file changes.
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Masked evidence
Potential secret evidence is masked where possible before it appears in the report or sanitized export.
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Founder-owned launch decision
The report helps you prioritize, but you still own fixes, testing, and the final launch decision.
Hard boundaries
What it never does
These are operational trust boundaries, not fine print. They are the reason the review can stay predictable and bounded.
Execute uploaded or imported code
Install dependencies
Run package-manager commands
Validate whether secrets are live
Create pull requests or modify repositories
Certify or guarantee security
ZIP upload
Reviewed as a static project input
You choose the ZIP to review.
The review indexes bounded file and configuration signals.
Findings are organized into the Launch Readiness Report.
Evidence is masked where possible before display or export.
GitHub import
Reviewed through read-only repository access
You choose the repository to review.
Repository contents are read for static analysis.
No comments or pull requests are created.
No repository files are modified.
Evidence masking
Evidence should help you fix, not create a new disclosure risk.
Before Users may show masked evidence so you can understand the finding while avoiding raw secret exposure where possible.
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Risk pattern detected
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Sensitive value masked
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Finding explained
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Founder verifies fix
If a credential-like value is flagged, rotate it and verify the affected provider yourself. The review identifies risk signals; it does not test whether a secret is live.
Before launch
You stay responsible for fixes and decisions.
Trust does not mean outsourcing judgment. The report helps you focus, but you decide what to fix and when to ship.
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Review each finding and decide whether it applies to your product.
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Apply fixes yourself, with your developer, or with an AI coding tool.
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Rotate credentials if a secret-like value is flagged.
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Test launch-critical auth, payment, and data flows after fixes.
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Treat the report as guidance, not approval to launch.
Ready to check your launch risks?