How an OpenClaw Xiaohongshu Tutorial Turned Into a High-Save Monetization Case

Monetization Angle

Catch the AI circle "raising lobsters" boom, aiming at the pain points of OpenClaw deployment threshold, make step-by-step installation tutorials published in Xiaohongshu, rely on high saves and likes to gain followers, and then monetize through paid consulting, custom deployment and so on. With Xiaohongshu blogger "Chestnut Krypton Talk AI", a zero-basic installation tutorial was released. In just a few days, Xiaohongshu was praised by 22,000 people and had a collection of 40,000.

Best For

AI enthusiasts who have a foundation in AI technology, who can clearly disassemble the steps of the operation, or who are willing to spend time researching OpenClaw deployment, do not need a high face value but need to be patient to explain the operation.

Difficulty

Moderate. You need to master the core operations of OpenClaw deployment, understand basic error prompts, and translate technical steps into a language that complete beginners can understand.

Workflow

Master the full OpenClaw deployment flow yourself before teaching it to others.

Create a step-by-step installation tutorial simple enough for complete beginners.

Publish the tutorial on Xiaohongshu and optimize it for reach and saves.

Monetize after growth by turning tutorial traffic into paid services.

• Download the OpenClaw open-source project and try deploying it in Feishu or on desktop while recording every step.
• Deliberately note common setup failures, such as environment configuration errors or failed API calls, and document how to fix them.
• Choose a save-friendly tutorial format, usually screenshots plus short explanations for each step.
• Explain prerequisites clearly, including software downloads, account registrations, and server access.
• Break the deployment into simple steps: open Feishu, find the bot app, paste the OpenClaw code, configure the runtime, and test whether it works.
• Add a troubleshooting section so beginners know what to check when they see common error messages.
• Write an attention-grabbing title, such as a zero-basics OpenClaw installation guide that avoids common pitfalls.
• Add precise tags like AI tutorial, OpenClaw, AI agent, and beginner AI learning.
• Improve readability with highlighted key steps and annotated screenshots.
• Answer questions in comments and guide interested readers into private chat or a community group.
• Offer paid services such as custom OpenClaw deployment or one-on-one debugging support.
• Recommend related products like cloud servers or AI learning materials for affiliate income.

Case Review

This case accurately captures the "FOMO (fear of missing out)" psychology of the AI circle and the technical pain points of ordinary users, and uses the "step-by-step tutorial" to cut through the need for low-threshold AI learning. The high collection data of Xiaohongshu also confirms the value of this kind of practical content. The core advantage is the practicality and scarcity of tutorials, and non-technical users are willing to pay for "pit avoidance". However, it should be noted that as the OpenClaw official simplifies the deployment process, the timeliness of the tutorial will be reduced, and it can be expanded to other AI agent deployment tutorials later, or advanced content of "raising lobsters + AI gameplay" to maintain account competitiveness. At the same time, it is important to ensure that the tutorial steps are accurate to avoid the loss of fans due to operational errors.

OpenClaw remains an open-source project on GitHub that can be self-hosted and connected to chat hosts such as Feishu, so the deployment flow taught in this tutorial still matches the current public release. One current datapoint from OpenClaw's official page: It 'can access your browser, your APIs, your IDEs, and your favorite apps.' (https://github.com/openclaw/openclaw).

Tools Used

• Core tools: the OpenClaw open-source project and Feishu as the deployment host. Official page highlights: Repo tagline: 'The AI that really does things. Any OS. Any Platform. The lobster way.' (https://github.com/openclaw/openclaw)
• Creation tools: a phone for screenshots, Xiaohongshu for publishing, and WeChat or Feishu for private traffic follow-up. The official site currently describes it as: The official description positions it as a place to share photos and videos, swap shopping insights, record life stories, and "和最会生活的人做朋友" (befriend the people who live best) (https://www.xiaohongshu.com)
• Supporting tools: a cloud server for deployment tests and an annotation tool such as Snipaste for arrows and notes on screenshots.

Summary

• Core logic: ride an AI trend, solve the deployment pain point, and turn practical tutorial traffic on Xiaohongshu into paid services or product revenue.
• Execution key: understand the workflow deeply first, then translate technical steps into language that beginners can follow.
• Sustainability: keep updating the tutorial as AI tools change, or expand into adjacent AI agent tutorials so the content does not go stale.