Product
Mobile app supervision
StatHall's original use case. Everything that matters in the life of an iOS or Android app — store reviews, crashes, releases, anomalies, AI summaries, roadmap — correlated in a single cockpit. Read-only toward the stores, no data ever resold.
What StatHall aggregates for an app
Six families of signals, wired once, deduplicated at the source, stored locally.
Store reviews
Apple App Store Connect and Google Play together: ratings, content, replies, per market. Filtering of off-topic reviews based on the app's profile.
Crashes and errors
Issues and crash-free session rate via Sentry. Each 1★ review tied to the issue that explains it through a semantic and temporal score.
Cross-store releases
iOS, Android and crash tracking aligned on the same release cycle. Markers on charts, crash-free deltas, regressions per version.
Health score
An aggregated score per app — technical, business, adoption — with weighting configurable to the app's profile (e-commerce, game, utility…).
AI summaries
Recent reviews summarised by an LLM. Each summary is cached permanently, never regenerated unless you explicitly ask.
Roadmap and anomalies
Sprint roadmap in a Gantt view, and anomaly detection (z-score over a rolling 14-day window) that auto-closes when the metric returns to normal.
An app is just one target among others
Since V2, a mobile application is a supervised target among others. The same cockpit will soon host your Unix servers, then your databases, websites and containers — with the same health, anomaly and alerting building blocks.
Ready to wire up your first app?
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