show-hn-draft

Drafting a Show HN post from a GitHub repository requires reading local markdown artifacts and recent logs to generate copy-paste ready text. The tool scores candidate lead events for recency and writes today's draft sections without fabricating metrics.

Generating subreddit launch drafts from autonomous agent logs involves analyzing the last 7 to 14 days of memory entries to ground the text. It produces variant-aware drafts for specific communities like r/MachineLearning and r/selfhosted based on concrete dated actions.

Cross-posting launch content to multiple subreddits from a single repo uses variant-aware draft generation to output tailored sections. You can regenerate one specified section or produce the default trio of drafts based on an operator-provided variant value.

The best way to write a launch post using recent repo analysis is to score candidate lead beat events for concreteness and surprise. This approach prioritizes dated autonomous actions including PR references to create a context-grounded cold open.

The Show HN draft generator does not post directly to Hacker News. It writes drafts to a local markdown file and appends an operator-only launch checklist, leaving the operator to control the actual posting and timing.

When repo analysis lacks sufficient inputs for the draft, the system logs the missing inputs without fabricating metrics. It relies strictly on available repository sources like README, SHOWCASE, skills counts, and recent articles to build the text.