
Migrating Off Google Analytics: Umami vs Plausible vs Fathom
A hands-on comparison of Umami, Plausible, and Fathom as privacy-focused alternatives to Google Analytics, with migration steps and honest tradeoffs.

A hands-on comparison of Umami, Plausible, and Fathom as privacy-focused alternatives to Google Analytics, with migration steps and honest tradeoffs.

Comparing bundled platform domains vs independent registration, plus privacy-focused analytics like Umami, Plausible, and Fathom.

A look at MasterHttpRelayVPN-RUST, a Rust-based DPI bypass tool using Google Apps Script relays and TLS SNI concealment. Architecture breakdown and practical notes.

A practical comparison of Umami, Plausible, and Fathom as privacy-focused Google Analytics alternatives, with setup examples and migration tips.

A practical comparison of Umami, Plausible, and Fathom as Google Analytics replacements, with migration steps and real code examples.

Learn how to detect and prevent email address leaks in public collaborative documents, with concrete API design patterns and testing strategies.

Step-by-step guide to running LLMs locally with Ollama and llama.cpp when cloud AI providers start requiring invasive identity verification.

macOS Privacy & Security settings don't always reflect reality. Learn how to audit TCC databases directly and debug permission issues the right way.

How to detect and block aggressive AI crawlers like Meta's bot, plus comparing Umami, Plausible, and Fathom for privacy-focused traffic monitoring.

A practical comparison of Umami, Plausible, and Fathom as Google Analytics replacements, with migration steps and honest tradeoffs.

LinkedIn runs hidden JavaScript that probes thousands of Chrome extensions, encrypts the results, and sends them to third-party servers -- all without user consent or any mention in their privacy policy.

If you use GitHub Copilot Free, Pro, or Pro+, your code is being used to train AI models starting April 24. Not just your public repos. Your interacti

Step-by-step guide to auditing and controlling your GitHub Copilot data exposure after the latest policy changes to AI training data collection.
Comparing cloud AI inference vs the tinybox for on-prem offline workloads — cost analysis, privacy tradeoffs, and when local hardware actually makes sense.
How to prevent location data leaks in your apps — practical code examples for truncating GPS data, enforcing privacy zones, and making privacy the default.