19 auto-computed metric pairs with Pearson analysis and plain-English interpretations.
xeve automatically runs statistical correlation analysis across all your data streams. Sleep vs productivity. Music vs focus. Steps vs coding output. It discovers relationships you would never notice on your own and explains them in plain language.
Pre-configured pairs include sleep vs productive time, steps vs coding, music listening vs focus, heart rate vs app switches, and more.
Uses Pearson correlation coefficient (r) to measure the linear relationship between metric pairs. Values range from -1 (inverse) to +1 (direct).
Every correlation comes with a human-readable explanation. Instead of "r = 0.72" you see "Strong positive — more sleep strongly predicts more productive time the next day."
Correlations are recomputed daily as new data flows in. Relationships become more statistically significant over time as sample sizes grow.
Results are only shown when there is enough data for statistical validity. The engine requires at least one day of overlapping data between metric pairs.
Correlations are computed via a Supabase RPC function (compute_correlation) that takes two metric names and a user ID. It joins daily_summaries with itself on date, extracts the requested metrics, and computes the Pearson correlation coefficient using the standard formula: r = Σ((x-μx)(y-μy)) / √(Σ(x-μx)² × Σ(y-μy)²). The function returns the coefficient, sample size, and p-value. The web dashboard fetches all 19 pairs in parallel and displays them ranked by absolute correlation strength.
No. Correlation measures the strength of a relationship between two metrics, not whether one causes the other. A strong correlation between sleep and productivity suggests a relationship worth exploring, but other factors may be involved.
The engine can compute correlations with as little as one day of overlapping data, but results become statistically meaningful with 7+ days. After 30 days, you will see reliable patterns with strong confidence levels.
Not yet. The 19 pre-configured pairs cover the most useful combinations across productivity, health, coding, music, and activity data. Custom pairs are planned for a future release.
early access
free during early access. no credit card required. install the mac app and your dashboard is live in seconds.
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