A privacy-first analytics tool that detects human visitors from bots without tracking.
Product memo
Signals offers an ethical analytics product for websites concerned about bot traffic inflating metrics. It focuses on behavioral signals rather than personal data, providing a privacy-preserving way to understand genuine human engagement. This approach appeals to content creators, open-source maintainers, and businesses prioritizing user dignity and GDPR compliance.
For who
Website owners, developers, and privacy-focused businesses
Solves what
Distinguishing real human visitors from bots and AI agents without tracking.
- Privacy-first analytics
- Bot and AI detection
- No cookies or fingerprinting
In their own words
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?
Privacy-first analytics that distinguish real humans from machines. No cookies. No fingerprinting. Open source.
Commercial cues
Model
free only
Free tier
Yes
Trial
No
Pricing Strategy
Signals offers a free tier; paid plan details are not publicly priced.
- • Free, open-source model encourages adoption and trust
- • Self-hosting option appeals to developers and privacy advocates
- • Focus on transparency builds credibility in the analytics space
Operator context
Operating setup
Team
Indie / lean
LLM classification
Founded
Jun 2026
Platform
Web app
Audience
General
Social footprint
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Pre Revenue
- Effort
- Solo Buildable
About Signals Expand
Signals is an ethical analytics toolkit designed for the post-bot internet. It addresses the growing problem of machine traffic inflating website metrics by accurately distinguishing human visitors from bots, scrapers, and AI agents.
Unlike traditional trackers, Signals operates without cookies, fingerprinting, or personal data storage, ensuring user privacy by design. Its open-source nature and transparent methodology appeal to independent site owners, developers, and privacy-conscious businesses who seek truthful engagement data that respects user dignity and simplifies GDPR compliance.
By focusing on behavioral signals and request patterns, Signals offers a lightweight, efficient, and trustworthy alternative for understanding real website interaction.