Signals — Human Analytics for a Post-Bot Internet

Privacy-First Analytics

Human Analytics for a Post-Bot Internet

Signals is a privacy-first, ethical analytics toolkit built to answer a single, urgent question: Are real humans actually visiting your website — or just machines?

🚀 Try Live Demo

📂 View on GitHub

Live Signal Analysis

HUMAN DETECTED

Confidence<br>98.4%

Signals<br>12 Active

Latency<br>24ms

Privacy<br>Zero Data

What Signals Is

Built for Humans, Not Exploitation

🛡️

Not a Tracker

Signals is not an ad tracker, not spyware, and not a fingerprinting system. It uses lightweight behavioral signals and transparent logic to determine whether a visit is likely human or automated — without storing personal data.

🤖

Machine Detection

Identifies human vs non-human traffic, filtering bots, scrapers, headless browsers, and AI agents with high accuracy while preserving user privacy by design.

Lightweight

Works without cookies or fingerprinting. Runs efficiently on shared hosting and VPS environments with minimal resource overhead.

Advertisement

How It Works — Transparent by Design

Instead of tracking who a user is, Signals evaluates how a request behaves.

🔍

Browser Capability Signals

JS execution, rendering support, and environmental consistency checks that verify real browser behavior without identifying the individual.

👆

Interaction Signals

Timing consistency, navigation behavior, and human-like interaction patterns that distinguish organic engagement from automated scripts.

📡

Request Patterns

Rate analysis, header inspection, and anomaly detection to identify AI agents through known bot traits and headless browser markers.

🎯

Confidence Scoring

Each visit is evaluated using a confidence-based model, not a binary judgment. AI agents are not counted as humans by default.

No Dark Patterns

✓ No cookies.

✓ No fingerprinting.

✓ No cross-site tracking.

✓ No personal data storage.

Who Signals Is For

Independent site owners, developers, and ethical analytics advocates.

👤

Independent Site Owners

Content creators tired of inflated metrics who want truthful engagement data without compromising visitor privacy.

💻

Developers & Maintainers

Open-source maintainers who need to understand real project usage without invasive tracking technologies.

🏢

Privacy-First Businesses

Organizations seeking trustworthy engagement data that respects user dignity and complies with GDPR without complex consent mechanisms.

Try the Live Demo

Test Signals yourself and see how it works in real time. Observe confidence levels, understand which signals are used, and verify that no personal data is collected.

👁️ See classifications live.

📊 View confidence levels.

🔒 Verify zero data collection.

🚀 Launch Live Demo

Advertisement

📜<br>Machine-Readable Promise

Trust & Transparency — The Trust Manifest

Signals publishes a public trust.json declaration that defines its ethical boundaries. This file is machine-readable and human-auditable — a public promise to our users.

View trust.json

No cookies.

No fingerprinting.

No personal data.

No raw IP storage.

Only aggregate signals.

AI agents not counted as humans.

Why Signals Exists

The modern web is facing a credibility crisis. Analytics tools increasingly reward manipulation, over-collection, and inflated engagement metrics.

🎯 Respect User Dignity

Signals was created as a counter-model to surveillance capitalism. We believe metrics should reflect reality, not marketing goals.

🔍 Default to Minimal Data

By design, Signals cannot identify individuals. We collect only what is necessary to distinguish human behavior from machine patterns.

📢 Prefer Transparency

Open source code, public trust manifests, and honest documentation about limitations. Trust requires radical transparency.

Limitations — Honest Boundaries

Signals is powerful, but not magical. Trust requires honesty about what we cannot do.

⚠️

No Individual IDs

Cannot identify individuals by design. We trade perfect accuracy for privacy preservation.

🎭

Not 100% Perfect

Advanced AI agents may occasionally appear human-like. We recommend combining with server-side validation.

🤝

Best Combined

Works best alongside traditional analytics as a correction layer for inflated traffic data.

Open Source — Built in the Open

Signals is maintained publicly on GitHub. Anyone can audit the logic, verify ethical claims, and contribute improvements.

⭐ Star on GitHub

FAQ — Common Questions

Is Signals GDPR-friendly?

Yes. Signals avoids personal data entirely, making GDPR compliance straightforward. No consent banners required for basic usage.

Does Signals block bots?

No. Signals classifies, not blocks. You control the response. Use it to filter analytics or trigger additional verification as needed.

Can Signals replace Google Analytics?

Signals complements traditional analytics by correcting inflated traffic data. Use both for a complete picture: traditional for trends, Signals...