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Reddit JSON Trick for Viral LinkedIn Posts
Your audience already said it
Most people scroll right past Reddit without a second thought. Meanwhile, some of the best content ideas are hiding in plain sight, buried inside comment threads and heated debates. I was genuinely impressed when I stumbled across this method from a savvy LinkedIn professional who turned Reddit threads into a full-blown content machine.
The concept is brilliantly simple: Reddit users are already telling you exactly what they struggle with, what they need, and what frustrates them. You just need a way to extract that information efficiently and turn it into content that resonates. This creator figured out a clever workflow that combines Reddit’s hidden JSON feature with AI tools like Grok and Claude to do exactly that.
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Here’s something most people miss: every single Reddit post has a machine-readable version. If you take any Reddit URL and add /.json to the end of it, you get the entire thread, including all replies, upvotes, and metadata, in structured JSON format.
Why does that matter? Because that JSON contains the raw, unfiltered opinions of real people. No marketing spin. No corporate jargon. Just genuine pain points, wishes, and frustrations straight from your target audience. It’s basically free market research sitting right there.
The Full 8-Step Process
Find a relevant Reddit post in your niche. Look for threads with high engagement, lots of comments, and strong opinions.
Add /.json to the URL. This converts the entire thread (post + all replies) into structured metadata you can copy.
Copy the full JSON metadata. This includes the original post, every comment, reply chains, and engagement signals.
Paste it into Grok and ask it to extract pain points, limitations, and unmet needs from the conversation.
Use the Grok prompt below to generate viral hooks based on those pain points (full prompt provided further down).
Review the hooks Grok generates. Pick the ones that feel most authentic and resonate with your audience.
Move to Claude and use the second prompt to turn those pain points and hooks into polished LinkedIn posts.
Edit and publish. Add your personal perspective, tweak the voice, and post.
Prompt #1: Extract Pain Points with Grok
This is the prompt the original poster shared for the first stage, where you pull insights from the Reddit thread:
“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]”
The key here is feeding Grok examples of hooks that have already performed well for you. This way, the AI matches your proven style instead of generating generic output. Three strong examples give it enough signal to work with.
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Prompt #2: Turn Pain Into LinkedIn Posts with Claude
Once you have the pain points and hooks from Grok, this second prompt takes everything to the finish line:
“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]”
Notice how the expert structured this prompt. You’re not just asking Claude to “write a LinkedIn post.” You’re giving it your best-performing posts as style references, setting explicit formatting rules, and demanding originality. That’s what separates mediocre AI output from content that actually performs.
Why This Method Actually Works
I think the reason this approach is so effective comes down to one thing: you’re starting with real human frustration, not guesswork. Most people sit down and try to brainstorm content ideas from scratch. That’s hard, and it often leads to posts that feel disconnected from what people actually care about.
By mining Reddit threads, you’re tapping into conversations that are already happening. The pain is real. The language is authentic. And when you reflect that back in a LinkedIn post, people feel seen. That’s what drives saves and shares.
Quick Tips to Get Better Results
Pick threads with 50+ comments. More comments mean richer data for the AI to work with.
Choose controversial or emotional threads. These tend to surface the strongest pain points and most shareable angles.
Feed your own top-performing posts as examples. The more specific and personal your reference material, the better the output matches your voice.
Don’t publish AI output raw. Always add your own spin, personal experience, or contrarian take to make it uniquely yours.
Test multiple hooks. The prompt generates 5 variations for a reason. Try different ones and see what resonates.
This contributor basically built a repeatable content pipeline that turns community conversations into high-performing LinkedIn posts. The best part? The raw material refreshes itself every day as new Reddit threads pop up.
Check out the full LinkedIn post for the complete breakdown and additional context from the original creator.
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