Summary Contentport is an open-source content platform for technical founders, streamlining creation, scheduling, and multi-angle strategy. It addresses the need for efficient content management via AI-assisted generation, distinct workspaces for varied tones, and UX improvements for platforms like Twitter. The platform simplifies complex workflows, enables diverse communication styles, and aids proactive content planning.

How It Works The provided README focuses on the project's feature roadmap, not its core technical architecture, algorithms, or data flow. Specific implementation details regarding AI models, content processing, or backend design are not elaborated upon.

Quick Start & Requirements Installation instructions, prerequisites, dependencies, or setup guidance are not detailed in the provided README.

Highlighted Details

• Multi-Workspace Strategy: Supports distinct workspaces, each preserving its own style, tone, and iteration history, enabling parallel content angles (e.g., serious vs. meme) without AI context leakage.
• AI-Powered Content Assistance: Features proactive post creation, personalized example ideas, and plans for LLM switching and voice input.
• UX & Platform Focus: Includes a Raycast-style code snippet editor, accurate Twitter character limits, and timezone clarity for scheduled posts.
• Roadmap Features: Planned additions include dark mode, responsive layout, community posting, auto-plug, viral tweet library, and web browsing.

Maintenance & Community Maintained by Jo & Josh (@jommerkatz & @joshtriedcoding), who welcome community feedback and PRs. A public roadmap is maintained, last updated November 27th, 2025, indicating ongoing development and user-driven prioritization.

Licensing & Compatibility No specific open-source license is mentioned in the provided README. This omission requires clarification regarding usage rights, modification permissions, and compatibility for commercial or closed-source integration.

Limitations & Caveats Known issues include timezone discrepancies and challenges in video transcript creation. The project is actively under development, with ongoing improvements planned for assistant style handling, upgrade modals, and data clarity. The absence of a specified license is a significant adoption blocker.