Content Calendar & Strategy

Part of the worlds-biggest-software-project initiative.

An AI-native, open-source content calendar and strategy platform that moves beyond scheduling into genuine strategic planning, brief generation, and cross-channel orchestration.

Content Calendar & Strategy is a planning and orchestration platform for content marketing managers, social media teams, and agencies. It combines multi-channel scheduling with AI-driven topic recommendations, deep brief generation, and cross-channel repurposing — addressing the gap between cheap social schedulers and expensive enterprise marketing suites.

Why Content Calendar & Strategy?

Full-featured social management suites such as Hootsuite ($99/user/month) and Sprout Social ($80–$1,400/month) put advanced analytics and AI behind premium tiers, pricing out smaller teams.
Marketing-calendar tools like CoSchedule and Planable have approval and calendar depth but lag on social publishing breadth and analytics.
Affordable schedulers such as Buffer and ClickUp lack content strategy, brief generation, and predictive performance features.
General work OS platforms (Monday.com, Notion AI) require heavy configuration and offer only surface-level content-specific AI.
No open-source alternative of significant market adoption was identified during research, leaving an opening for an AI-native, transparent platform.

Key Features

Calendar & Multi-Channel Scheduling

Multi-channel content calendar with drag-and-drop scheduling across Facebook, Instagram, LinkedIn, and Twitter at minimum
Content library and asset management with search
Optimal posting time recommendations per platform and audience segment
Mobile-responsive experience for on-the-go review

AI Brief & Content Generation

AI-assisted content brief generation from a topic input — covering target persona, keyword intent, recommended structure, tone guidelines, and internal linking maps
Cross-channel content repurposing suggestions (blog to carousel to thread to email)
Content performance prediction estimating engagement and reach likelihood before production

Collaboration & Approval Workflows

Content approval workflows with comment threading and revision history
Team collaboration with role-based permissions
Approval workflow intelligence that learns from historical reviewer feedback to pre-flag likely revision requests

Strategy & Analytics

AI-driven strategic content planning that analyses brand performance, competitive share-of-voice, and audience engagement trends
Basic analytics covering engagement, reach, and posting performance per channel
Social listening and competitor monitoring on select platforms
Content ROI attribution to pipeline and revenue (backlog)

Integrations

Zapier integration plus connectors to top marketing tools including Google Analytics, HubSpot, and Slack
Email service provider and CMS platform integrations
API for custom development

AI-Native Advantage

Most incumbents treat AI as caption assistance or headline scoring. This project positions AI at the strategy layer: analysing historical content performance and competitive share-of-voice to recommend forward-looking calendars, producing comprehensive briefs from a single topic input, generating platform-native derivatives from one source asset simultaneously, and predicting organic search potential, social engagement, and pipeline influence before production begins.

Tech Stack & Deployment

One TypeScript application, built as a single pnpm workspace and shipped as one image that runs four programs: the web interface (Next.js), the API (NestJS), the background workers (publishing, engagement collection, AI and event delivery) and the agent interface (Model Context Protocol). All four share one domain core and sit behind one address: the web interface at /, the API at /api and the agent interface at /mcp.

PostgreSQL 16 is the schedule of record; Redis 7 carries the job queues and is treated as disposable: the design is that a restart never loses a scheduled post and no post is ever published twice.
Sign-in is the platform's shared identity (OpenID Connect); there is no separate login.
AI is optional and provider-neutral (Anthropic, OpenAI or a local model), and everything it writes is checked, labelled and approved by a person.
It runs on a laptop (dev, compose, standalone), in the cloud (aws), as a public demonstration that talks to nothing outside itself, and as an appliance image.
Channels are sorted by the PESO model (Paid, Earned, Shared, Owned); consent is recorded per contact for email distribution (GDPR/CCPA), with export and erasure built in; the interface targets WCAG 2.2 AA.

The application code is in target/; the deployment manifest (wbsp.yaml) and image recipe (wbsp.Docker) are at the repository root.

Commands

pnpm is the only package manager (corepack enable turns on the pinned version). From target/:

pnpm install                                     # dependencies
pnpm run build                                   # every program
pnpm run release                                 # database changes + first-run seed
WBSP_DESTINATION=dev APP_ROLE=all pnpm run start # everything, on http://localhost:30129
sh scripts/run-gate.sh                           # prove it starts cleanly
pnpm run lint && pnpm run typecheck              # static checks
pnpm run test:unit                               # unit tests
pnpm run test:integration                        # real PostgreSQL and Redis
pnpm run test:e2e                                # browser tests

The first run on a laptop (starting the database and queue, and the settings files) is described step by step in user-docs/getting-started.md.

Documentation

Getting started — what the product does, how to try it and run it, and each social network's app review
Useful commands — every command and setting for developers
API reference and OpenAPI description
Testing — what is tested, and why it gives confidence
Demonstration notes — every outbound path, and what a demonstration does instead
Accessibility audit — the manual checks behind the WCAG 2.2 AA claim

Market Context

The global content marketing software market is projected to reach approximately USD 15.5 billion in 2025, expanding to USD 28.3 billion by 2033 at roughly 8% CAGR; the adjacent marketing calendar segment is valued at USD 12.5 billion in 2025 (Research Nester, 2025). Incumbent pricing ranges from free tiers (Buffer, ClickUp) through $30–$100/month mid-market tools (CoSchedule, Planable) to $80–$1,400/month enterprise suites (Hootsuite, Sprout Social). Primary buyers are content marketing managers at B2B SaaS companies, social media managers at consumer brands, agency creative directors, and marketing operations leaders.

Project Status

The first complete implementation is built and is being prepared for its first deployment. Contributions, feedback, and domain expertise are welcome.

Contributing

We welcome contributions from developers, domain experts, and potential users. See CONTRIBUTING.md for guidelines.

Important: All contributions must be your own original work or clearly attributed open-source material with a compatible licence. Copyright infringement and licence violations will not be tolerated and will result in immediate removal of the offending contribution. If you are unsure whether a piece of code, text, or other material is safe to contribute, open an issue and ask before submitting.

Licence

Licence to be determined. See discussion for context.

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