Your content pipeline,
engineered.
Plan, track, and measure content with the same precision as you deploy code.
The Content Hub brings versioning, metrics, and automation to publishing.
Data flow
Every content piece moves through five interconnected modules
Topics
Central registry
Sprints
Execution cycles
Calendar
Timeline tracking
Analytics
Velocity metrics
Recommender
Intelligence layer
Topics are batched into Sprints, scheduled via Calendar, measured by Analytics, and optimized by the Recommender for continuous improvement.
Engineered systems
Each module handles a specific layer of the content pipeline
Sprints
Organize your publishing cycles like CI/CD runs
Time-boxed execution with scope management and velocity tracking
Topics
Central source of truth for every keyword and outline
Unified registry for all content with metadata and status
Calendar
Track deadlines across sprints with visibility
Timeline visualization with dependencies and conflict detection
Analytics
Compute velocity and coverage metrics from sprint data
Real-time performance tracking with historical comparisons
Link Validator
Automated quality checks before publish
Pre-deployment validation to prevent broken links
Recommender
Suggests what to publish next based on historical performance
ML-driven prioritization using SEO and engagement signals
Execution pipeline
Four-stage process for consistent content delivery
Plan
Define weekly cycles. Assign topics. Set clear expectations.
Track
Monitor progress in real-time. Adjust as needed. Keep context.
Ship
Publish on schedule. Quality checks automated. No last-minute chaos.
Analyze
Visualize velocity and MSV impact. Report to leadership with confidence.
Command center
Real-time visibility across the entire content pipeline
Sprint Execution View
Active sprints with scope, velocity, and completion metrics. Monitor WIP limits and cycle time distribution across all content in flight.
Task Breakdown Interface
Granular view of individual topics with ownership, dependencies, and status. All context visible without navigation.
Performance Telemetry
Real-time dashboard computing reach, engagement, and SEO performance. Historical trends and predictive velocity modeling.
Adaptive learning system
The recommender learns from past sprints and SEO data to suggest next-best actions
Pattern Recognition
Analyzes historical sprint data to identify high-performing content types
SEO Optimization
Learns from search performance to suggest keyword opportunities
Priority Scoring
Ranks topics by potential impact using engagement and reach metrics
Velocity Prediction
Forecasts completion times based on team throughput patterns
The system continuously ingests performance data from published content, computes correlation between topics and engagement metrics, then surfaces high-probability recommendations for your next sprint planning session.
Quantified improvements
Teams using Content Hub report consistent gains across velocity and quality metrics
Metrics collected from production deployments across 12 engineering-led content teams over 90-day observation period (Q4 2024).
Built for the next generation of technical teams
Pricing
Start free. Scale as your operation grows.
Starter
For individual contributors testing the workflow
- 1 workspace
- Unlimited topics
- Basic velocity metrics
- Sprint planning
- Link validation
Team
For content teams shipping at scale
- Everything in Starter
- Unlimited workspaces
- Advanced analytics & reporting
- AI-powered keyword optimization
- Multi-brand support
- Priority support
Questions
Technical details and workflow specifics
From backlog to publish
in one sprint
Run your content pipeline with the same discipline as your deployment pipeline