Repository Intelligence for Engineering Leaders Public Beta

See the risks in your codebase before your team does

Calyntro analyses Git history, complexity metrics, and team ownership to give CTOs and Engineering Managers a clear view of Knowledge Silos, Absolute Churn, and architectural drift — at File, Module, and Team level.

Calyntro is currently in public beta. Core analyses are fully functional. We're actively refining the experience and welcome early feedback from engineering teams.

Get started free → Stay updated

Calyntro · Data Analysis Dashboard · Overview

3 scopes

File · Module · Team

Git-native

No agents, no instrumentation

Docker

Self-hosted, data stays yours

The Problem

Engineering decisions are made blind — every day

Knowledge walks out the door

When a key engineer leaves, their understanding of critical modules leaves with them. You only discover the gap when something breaks in production.

Technical debt is invisible until it hurts

High churn + rising complexity = the next incident. Without objective metrics, these files stay off the radar until they cause missed sprints or outages.

Teams drift off their modules

Effort scatters across the codebase. Without ownership visibility, you can't tell if a team is focused — or spread thin across systems they shouldn't be touching.

→ Calyntro translates your Git history into an always-current risk map — surfacing hotspots, ownership gaps, and complexity trends before they escalate.

Operational Excellence

Spot your next incident before it happens

The Hotspot Heatmap combines five dimensions simultaneously — complexity, change frequency, silo risk, absolute churn, and file age — colour-coded across all modules. Critical areas are impossible to miss.

Hotspot Analysis

Five dimensions in one view: Complexity, Change Frequency, Silo Risk, Absolute Churn, and File Age — heatmap-coloured from low to critical.

Absolute Churn

Lines added + deleted reveal files being heavily reworked — a leading indicator of unclear requirements or architectural problems.

Complexity Trend

Tracks Cognitive Complexity over time per module. A rising trend in a high-churn module is a code-red signal.

Silo Risk

Percentage of files owned by a single developer per module — bus factor risk surfaced at a glance across your entire architecture.

Hotspot Analysis · Module Level · All Modules

Real data: Calyntro analysed against the MongoDB open-source repository — no synthetic data, no cherry-picked examples.

Strategic Planning & Stability

From gut feeling to architectural evidence

The Scatter Analysis maps every module by complexity vs. churn — instantly revealing which components are priority hotspots, legacy risks, or healthy and stable. The evidence base your roadmap conversations have been missing. The Code Map adds a spatial dimension: area = Lines of Code, colour = risk score.

Scatter Analysis

Complexity × Churn with four quadrants: Hotspot (priority), Non-critical, Legacy risk, Healthy. Bubble size = code age.

Code Map

Treemap view: area = Lines of Code, colour = risk score. A dominant red block is impossible to ignore — no report needed.

Trend Analysis

Complexity, LOC, Silo Ratio and Commits over time per module — toggle individual modules to isolate trends.

Module Change Frequency

Total commits per module with main contributor — reveals "god modules" absorbing disproportionate maintenance effort.

Scatter Analysis · Complexity × Churn

Code Map · Risk & Size per Module

Real data: Calyntro analysed against the MongoDB open-source repository — no synthetic data, no cherry-picked examples.

Risk Management & Knowledge Retention

Reduce your bus factor before someone leaves

Calyntro maps exactly who owns what — not based on org charts, but on actual commit history. Spot single points of knowledge at file, module, and developer level before they become crises.

Knowledge Silos by File

Files where one developer owns ≥ 80% of commits — with ownership %, total commits, and low / medium / high / critical risk classification.

Knowledge Silos by Developer

Which developers hold exclusive knowledge across how many files and modules — organisational bus factor in a single ranked list.

Module Ownership by Teams

Team-centric view: is your team focused on their assigned modules, or is effort scattered across systems they shouldn't own?

Top Team Contributors

Module-centric view: which teams are actually driving each component? Detect cross-team boundary violations early.

Knowledge Silos · File Level · Module: db — MongoDB repository

Real data: Calyntro analysed against the MongoDB open-source repository — no synthetic data, no cherry-picked examples.

Deployment

Up and running in one afternoon

Deploy via Docker

Calyntro ships as a self-hosted Docker container. No SaaS vendor receives your code. Your IP stays on your infrastructure.

Import your Git history

Run the initial data import against your repository. Incremental updates keep the dashboard current with zero downtime — designed to fit existing CI/CD pipelines.

Filter, analyse, decide

Switch between File, Module, and Team scope. Choose Hotspot Heatmap, Scatter, Code Map, or Trend view. Filter by module and date range — session filters are saved automatically.

Your Git history already holds the answers

Calyntro surfaces them. Deploy in an afternoon, run your first hotspot analysis the same day.

We're looking for early adopters to shape the product. Beta access is free — all we ask for is honest feedback.

Join the beta → Read the docs

Self-hosted · your data stays yours Docker · no infrastructure overhead Git-native · no agents required Free during beta