How OpenPost's split data model solves multi-platform social publishing chaos

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Developer tool OpenPost has overhauled its data model after attempts to publish a single post across multiple social platforms exposed fundamental design flaws. The original approach treated a post as one unified object, but platforms like X, LinkedIn, Instagram, and YouTube each require distinct formats, fields, and media configurations. OpenPost now separates a 'publication' — the shared intent, source text, and schedule — from individual 'renditions' tied to each destination account, allowing platform-specific copy and media at the account level. Validation is applied to each final rendition rather than the source content, preventing format errors from reaching provider APIs. The system also introduces two MCP access scopes so AI agents can prepare drafts without receiving decrypted credentials or unnecessary publishing permissions.

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ProgrammingDEV Community ·

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