Reddit’s JSON for LinkedIn

Grok & Claude workflow

January 09, 2026

You are likely ignoring the biggest free focus group on the internet because you think it doesn’t apply to your business.

That’s how you miss trends. An AI professional shared a workflow that turns Reddit threads into high-performing LinkedIn content by tweaking a URL and using two AI models.

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The JSON Backdoor Strategy
Most people consume Reddit through the UI. Add .json to the end of any Reddit thread URL to bypass the interface and pull the raw thread data.

Copying from the screen is messy and loses structure. Raw JSON preserves reply hierarchy, context, and signals like upvotes—data LLMs can parse cleanly.

This workflow uses Grok for insight and Claude for writing so the output becomes a strategic asset, not a recap.

Phase 1: Mining for Pain with Grok
Step one is extraction. Use Grok to identify the “pain, limitations, and needs” inside comments, not to draft the post.

Be specific: ask for psychology and market insight. With JSON as input, you get direct frustrations from real people instead of guessing.

Prompt used for Grok: 

"Here’s the JSON of a Reddit conversation around: \"[REDDIT POST TOPIC]\". Extract the pain points, make 5 viral hooks (2 lines in one hook) on the same.

The viral hooks should be on the same format, style and tone as these 3 hooks that got results.

///Hook 1
[paste a good hook example]
///Hook 2
[paste a good hook example]
///Hook 3
[paste a good hook example]
JSON: [REDDIT META DATA]"

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Phase 2: The LinkedIn Ghostwriter (Claude)
Next is drafting. Move to Claude for writing because it’s strong at tone and style control.

This is “few-shot prompting”: provide examples of winning posts and ask Claude to match structure and pacing without copying. Keep it skimmable (short lines, whitespace, listicles) while using the pain points Grok pulled from Reddit.

Prompt used for Claude: 

"Act like a LinkedIn ghostwriter who writes posts that get saved + shared.
Goal: Create 5 LinkedIn posts on the new topic.
Use my 4 example LinkedIn posts below that are the most viral ones on linkedin, ever. You must match their structure, pacing, formatting (short lines + whitespace + listical), and voice but the ideas, wording, and hooks must be NEW.

Rules:

Each post starts with a strong 2-line hook.
Keep it skimmable
With 1 clear takeaway + 1 framework (steps)
End with a CTA that \"Repost for others to …….\"
No fluff, no generic advice, no repeated angles across posts.
Do NOT copy phrases or lines from the examples.
Here are the 4 example posts (study them first):

///Example Post 1
[PASTE POST]
///Example Post 2
[PASTE POST]
///Example Post 3
[PASTE POST]
///Example Post 4
[PASTE POST]
Now write 5 new posts about: [TOPIC]"

The Validation Engine
The point isn’t “using AI,” it’s sourcing ideas from validated demand. A popular Reddit thread shows resonance via comment volume and upvotes.

This flips the process. Start with a conversation that already landed and translate it to LinkedIn, which solves the blank-page problem.

Potential Nuances and Challenges
Large threads create huge JSON dumps. If the data exceeds an LLM context window, truncate, chunk, or select the most relevant branches.

Reddit-to-LinkedIn translation is delicate. Reddit is anonymous and informal; LinkedIn is professional and reputation-based, so review outputs to ensure the tone doesn’t stay too “Reddit-like” during the transfer.