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# Turn YouTube research into X threads and LinkedIn posts weekly

A Chinese developer blogger set up OpenClaw to mine YouTube for topics every Monday, draft X threads and LinkedIn posts, and wait for approval in Telegram. He says it sharply cut the time he spends on content each day.

[OpenClaw](https://www.automaticcompany.co/use-cases/agent/openclaw/) Added Oct 13, 2026

## What they did

He installed a YouTube skill to watch chosen channels and keywords and scheduled a topic research run every Monday at 9am. He iterated the drafting prompts for X threads and LinkedIn long posts more than ten times, connected both platforms through their APIs with keys kept in environment variables, and added a Telegram review step so nothing posts without his confirmation. A weekly job summarizes performance into a report.

## How it went

The poster says His daily content time dropped sharply, and he now edits a small part of each AI draft instead of writing from scratch.

## Good to know

Early hooks were weak, drafts often ran over length limits and the AI sometimes missed the source's main point; he rates the output as far from perfect and keeps a human check. No follower or engagement numbers are shared.

## A prompt to try

Every Monday at <time>, check new videos from <YouTube channels> about <topic keywords> and pick the three most useful ideas. For each, draft one X thread under <character limit> per post and one LinkedIn post, each with a strong first line. Send the drafts to me in <chat app> and publish only the ones I approve.

## Source

[eastondev.com](https://eastondev.com/blog/zh/posts/ai/20260227-openclaw-marketing-automation/) · published Feb 27, 2026 · checked Oct 13, 2026

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