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TECHNICAL DEMO

Churn scores that move
with the data.

Real-time churn prediction while the feed reports more than 11,000 event operations per second. Watch the history grow and the rankings change.

11k+

Event operations / second

Reported by the ingestion counter
150

Tracked histories

Customer records in this demo
10 sec

Recorded excerpt

Silent screen recording
INGEST → UPDATE HISTORY → SCORELOCAL ENGINE
Screen recording · No audioDownload recording

WHAT YOU’RE SEEING

One history.
An evolving score.

01

Events keep arriving.

The upper terminal runs the feed for 150 tracked customer histories. Its ingestion counter advances, with sampled frames showing about 11.9k event operations per second.

02

Predictions keep changing.

The lower terminal displays customer IDs, churn probabilities, and a ranked leaderboard. As the event histories grow, scores change and customers move through the ranking.

About this run

The throughput figure is the feed’s event-operations counter in this recorded local run. The command configures bursts of 800 at a target of 20 Hz; the displayed achieved counter is lower than that configured target. Hardware, per-prediction latency, and accuracy evaluation are not documented in this clip.

This recording captures the local ingestion and scoring loop. The Mac workspace, shared storage, and other execution targets are described in the architecture.

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Explore the Mac workspace and the architecture behind it.

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