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AtlasRepo

Marketing Automation: Herald’s AI Content Drafting

Description and use

Herald automates content drafting and publishing by generating LLM‑based drafts from GitHub commits, enabling quick review and publication to platforms like Dev.to and Medium.

Problem

Indie developers and small teams ship code faster than they write about it, causing bottlenecks in drafting, approving, and scheduling release‑related content.

Outcome

Herald automates content drafting and publishing, cutting manual copywriting time and aligning posts with release events.

Workflow

  • Receive GitHub push webhook
  • Store commit data and enqueue generation task
  • Generate draft copy with LLM
  • Store draft in PostgreSQL
  • Developer reviews and edits draft in browser
  • Approve draft and enqueue publishing task
  • Publish approved content to selected platforms via APIs
  • Collect analytics for content calendar

Evidence

Indie developers and small teams ship code faster than they write about it.

Source

FastAPI receives the payload, stores it, and enqueues a Celery task.

Source

The task uses a LLM provider (OpenAI, Anthropic, etc.) to generate draft copy.

Source

The UI is built with React and styled using Tailwind CSS.

Source

  • Record date: 2026-10-08T18:25:53.865Z