VVibeFootprintWebsite intelligence

Evidence-led website review

How much vibe is in your website?

Get a clear 0–100 footprint, understand the public patterns behind it, and turn the findings into practical security, quality and originality improvements.

Transparent beta model · qualitative orientation with an explicit uncertainty boundary

01

Analyze a website

Enter a public URL — most scans finish in a few seconds.

Bounded, peer-pinned GET requests for public HTML and same-origin assets. The target site may log these requests. No login or private source code.

0–24Low
25–49Light
50–69Medium
70–84High
85–100Very high

This is an uncalibrated qualitative similarity index — not an AI probability or a percentage of AI-generated code. Read the methodology

How VibeFootprint works

A visible footprint, turned into useful next steps.

We inspect only what a public website delivers. No login, repository or private source code is required.

01

Inspect the public surface

HTML, response headers and a bounded selection of same-origin assets over validated, peer-pinned connections.

PUBLIC SURFACE
02

Score visible patterns

The frozen model combines public technical and structural signals into an uncalibrated 0–100 similarity index.

QUALITATIVE INDEX
03

Separate evidence from advice

Observed findings stay distinct from optional manual guidance and are ordered by impact.

ACTIONABLE OUTPUT