The Muon blog
Essays on understanding your product: change detection, investigation, agentic analytics — and the engineering behind a Rust-fast core.
Written to be useful, not to rank.
Each piece exists because it says something you can't trivially find elsewhere — real numbers, real design decisions, honest trade-offs.
Why we built an analytics backend in Rust
The internal benchmark that convinced us: 6.4× peak ingest, 7× lower p99, 20× less memory — and the honest costs of choosing Rust.
Read →Product intelligence vs product analytics
Analytics answers “what are the numbers”. Intelligence answers “what changed, who was hit, and why”. Where each fits.
Read →Agentic analytics: when the analysis comes to you
The shift from query-driven dashboards to systems that watch, investigate and report on their own — and what a trustworthy loop requires.
Read →Anomaly detection for product metrics, without the noise
Why thresholds drown teams in alerts, and what works instead: baselines, significance, impact, novelty — then investigation.
Read →Understand your product. Instantly.
Five minutes from signup to first signals — or one Docker command if you'd rather run it yourself.