PRIVACY IS A SETTING, NOT A VIBE

Your public life.
On your terms.

A high-contrast privacy checkup for the details your social settings can quietly reveal. No account connection. No scraping. Just a sharper picture—and a practical way to dial exposure down.

Explore the fictional cohort
✳Private by designAnswers stay in this browser tab only.56 questions · ~5 min
SELF
CHECK
+YOUR
FOOTPRINT
≋   10 SIGNALS
CONSENT-BASED / LOCAL-FIRST NO PROFILE ACCESS
DATA MINIMIZATION ✓
YOUR INPUT ≠ YOUR IDENTITY
NO SCRAPING✳NO PRIVATE ACCOUNT ACCESS✳NO RAW PII STORAGE✳YOU CONTROL THE INPUT✳NO SCRAPING✳NO PRIVATE ACCOUNT ACCESS✳NO RAW PII STORAGE✳YOU CONTROL THE INPUT✳

LIVE DASHBOARD / FICTIONAL DATA

Exposure, in aggregate.

1,200 synthetic assessments
DETERMINISTIC DEMO COHORT · NO REAL PEOPLE
COHORT MEAN RISK↗
—/100
Higher = more assessed exposure
HIGH / CRITICAL◉
—%
Risk bands in synthetic cohort
TOP SIGNAL✳
Loading
Calculating demo pattern
YOUR CONTROLS⌁
You decide
Self-report only · no platform connection

01 / CATEGORY RADAR

Where risk clusters

0 LOW → 100 HIGH
Synthetic cohort averageEducational rubric · not a compromise prediction

02 / RISK BANDS

Score distribution

FICTIONAL
—profiles

03 / REPEAT PATTERNS

Most common weak spots

TOP 5

04 / ACCOUNT HYGIENE

Controls in the cohort

SELF-REPORTED

ⓘ This dashboard is populated from the checked-in synthetic CSV—not scraped profiles, organization telemetry, or other visitors' assessments.

HOW THE FIELD WORKS

Privacy, with the lights on.

A transparent, rule-based educational framework. It shows its assumptions, keeps the user in control, and treats uncertainty as a reason to review—not as proof of danger.

01⌁

Privacy ≠ security

Privacy controls how information is exposed and used. Security protects accounts and systems from unauthorized access. A strong password can coexist with a very public profile.

ExampleMFA ON + contact details PUBLIC = better account security, unchanged information exposure.
02◌

Footprint, in context

Active footprint is content you choose to share. Passive footprint can be generated by services depending on their context. This tool evaluates only self-reported practices.

Look backOld posts, comments, photos, unused accounts, and profile history can outlive your intended audience.
03↗

Small clues, big context

Public work, school, interests, travel, family references, or events may make deceptive contact seem more believable. That is a reason for awareness—not a reason to profile anyone.

Defensive habitPause. Verify through a trusted channel. Never share sign-in codes.
04✳

Scores are explainable

Ten category scores are weighted to 0–100. LOW 0–20, MODERATE 21–40, HIGH 41–70, CRITICAL 71–100. Higher means more assessed exposure.

Not a verdictWeights and thresholds are educational assumptions—not a professional risk certification.
01 / QUESTIONNAIRE→02 / VALIDATE→03 / FEATURE MAP→04 / SCORE + COACH→05 / REPORT

PRIVACY BY DESIGN

Less data.
More agency.

We designed the assessment to ask whether a detail is visible—not what the detail is. This GitHub Pages build stores nothing; answers and results stay in the current browser tab.

Download the privacy checklist
01Data minimizationNo phone, email, birthday, password, exact location, photo, or message fields.✓
02Purpose limitationInputs are used only to calculate a self-assessment and its coaching.✓
03Privacy by defaultNo account connection, upload flow, tracker, external font, or third-party analytics.✓
04User controlRun, simulate, print, and delete your derived result. Nothing is changed on a platform.✓
05Retention limitsClear the readout, refresh, or close the tab to discard the current answers.✓

A BETTER FOOTPRINT STARTS WITH A CHECK-IN

Take back the signal.

Five minutes. Zero profile access. One practical next step.