7 min read
How to analyse your X posts and find what works
A practical X analytics guide: choose useful metrics, compare topics and formats, handle viral outliers, and turn your posting history into better experiments.
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Practical guides for creators and makers: understand your X history, explain your work, and use agents without handing over your judgment.
Start with your history
A practical X analytics guide: choose useful metrics, compare topics and formats, handle viral outliers, and turn your posting history into better experiments.
Read the guide · 7 min readCompare patterns. Choose your next experiment.
7 min read
A practical X analytics guide: choose useful metrics, compare topics and formats, handle viral outliers, and turn your posting history into better experiments.
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Find useful posting windows on X with account-specific comparisons, consistent time zones, mature metrics, and a practical test instead of a universal timetable.
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Test X content topics, formats, and hooks with a clear hypothesis, comparable posts, median baselines, and a decision log that keeps weak evidence honest.
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Run a useful weekly X content review with consistent periods, fresh evidence, topic comparisons, relevant outcomes, and one clear experiment for the next week.
Read the guideTurn real product work into useful public updates.
7 min read
Build in public with AI agents using real product evidence, a weekly work log, reviewable drafts, and analytics that help you choose what to share next.
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Turn Git commits and pull requests into credible build-in-public updates with verified release status, user benefits, filtered evidence, and agent-ready prompts.
Read the guideDraft, review, and learn with context from your own account.
6 min read
A practical AI agent posting workflow for X: source-backed drafts, human approval, API publishing, duplicate prevention, and analytics without invented growth claims.
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Write better X posts with AI using original notes, voice examples, fact constraints, an editing rubric, and useful calls to action that match the reader’s next step.
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Learn how MCP connects AI agents to X analytics, what read-only tools can expose, and how to build evidence-backed reports with freshness and clear permissions.
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