The repository you adopt today shapes what you maintain tomorrow.
Overctrl exists so you don't have to learn about tech problems from your users. Stay ahead of open-source trends, understand release impact, and spot dependencies that are quietly falling behind.
GitHub shows you activity.
Overctrl shows
that actually matters.
What Overctrl measures
Overctrl focuses on signals that predict what happens next — not vanity numbers — so you can adopt with confidence.
Project Traction
What it measures
- Change in usage and engagement over time
- Acceleration or deceleration relative to historical baselines
Why it matters
Indicates whether a project is gaining adoption, plateauing, or losing momentum, independent of size.
Issue Activity & Spikes
What it measures
- Issue creation rate over time
- Deviations from recent issue volume baselines
Why it matters
Identifies abnormal changes that may indicate regressions, operational stress, or increased demand.
Release Impact
What it measures
- Issue patterns before and after releases
- Release cadence consistency and variance
Why it matters
Helps assess whether releases correlate with instability, neutral changes, or smooth upgrades.
Maintainer Responsiveness
What it measures
- Time to first response on issues and pull requests
- Backlog growth relative to resolution rate
Why it matters
Reflects whether maintainers can keep up as usage and pressure change.
Contributor Dynamics
What it measures
- Active contributors over time
- Contributor churn and concentration (planned)
Why it matters
Shows whether maintenance responsibility is distributed or concentrated in a shrinking core.
Lifecycle & Maintenance State
What it measures
- Long-term activity trends
- Maintenance consistency across time windows
Why it matters
Distinguishes stable-but-slow projects from neglected ones that carry long-term risk.
Ecosystem Context
What it measures
- Cross-repository presence
- Changes in ecosystem relevance over time
Why it matters
Provides context beyond a single repository, supporting evaluation of alignment and durability.
Dependency Exposure
PlannedWhat it measures
- Downstream dependency count and depth
- Concentration of critical dependents
Why it matters
Helps estimate the impact radius if a project becomes unstable or changes direction.
Behavioral Anomalies
What it measures
- Deviations from expected historical patterns
- Sudden spikes or drops across signals
Why it matters
Surfaces early warning signs that static metrics and snapshots miss.
Signals That Don't Fit in Charts
What it measures
- Derived and contextual indicators
- Multi-metric behaviors across time
Why it matters
The most important changes don’t announce themselves.
The metrics shown here are a subset of Overctrl's evaluation model. Signals are computed over time, compared against historical baselines, and interpreted to support adoption and maintenance decisions rather than popularity ranking.
Built for decisions, not dashboards
What you'll get with Overctrl
Discovery without noise
Find emerging and breakout projects based on real traction, not hype.
Repository intelligence
Health, activity, and maintenance signals across time.
Risk signals
Early indicators of instability, regressions, or declining maintenance.
Release impact analysis
See when releases trigger regressions, and when a project stops shipping fixes.
Dependency awareness (coming soon)
Understand risk and adoption across dependency graphs.
Join the Waitlist
Overctrl helps you spot emerging projects early and evaluate adoption, health, and risk over time — so you can adopt with context.