Medium API For Publishing, Scheduling, And Cross-Posting

Narrareach connects the writer's Medium account inside the product, then treats Medium as a destination in a reviewed article workflow. A story can begin as a Narrareach draft, a Substack article, an imported article, or an existing piece in the long-form library.

The writer chooses Medium, reviews the Medium-specific version, adds or confirms tags and publication settings, and decides whether the story should remain a draft, publish now, or enter the scheduling queue. Scheduling works even when the writer closes the browser because the queue runs in Narrareach rather than in an open editor tab.

The queue also records whether an item is waiting, published, or needs attention. This makes a failed destination visible without forcing the writer to reconstruct the entire campaign or republish successful destinations.

Medium separates the visible story title from supported search settings. Narrareach can generate and pass an SEO title and description through supported Medium publishing paths while leaving the visible title and article body unchanged. Medium does not expose the same custom-slug control used by Substack, so Narrareach does not promise a Medium SEO slug.

Tags help Medium classify and recommend the story inside its own network. Narrareach generates or carries tags through both immediate and scheduled publishing paths so scheduling does not silently remove the article context prepared during review.

Canonical links answer a different question: which URL should search engines treat as the original version? If the story first appeared on a site you control, Medium's import workflow can attach that source canonical. Do not assign a canonical merely to force rankings; choose the original version deliberately and verify the rendered Medium settings after publication.

Cross-posting should preserve the researched article while allowing each destination to present it appropriately. Narrareach keeps one source article and separate destination settings, so a Medium search title, Substack subtitle, LinkedIn commentary, and follow-up Notes do not overwrite one another.

After the long-form versions are queued, the same source can generate reviewed follow-up posts for LinkedIn, Substack Notes, X, Bluesky, Threads, and other supported channels. Those posts should carry one useful idea from the article rather than repeat the same promotional sentence everywhere.

Performance belongs in the same loop. Review the available Medium, newsletter, traffic, and subscriber signals alongside the article, then use the strongest topic or format as evidence for the next draft. Platform metrics remain platform metrics; cross-channel relationships should be labeled as direct attribution only when a tracked source supports that conclusion.