Social Media
Viral Hook Generator
Viral Hook Generator turns a content goal into channel-aware social media material with clear constraints and an explicit output.
The prompt
Viral Hook Generator guides the model through a defined task while preserving the source prompt's useful structure and constraints. Use it when planning or drafting social content for a defined audience and you want a response that is easier to evaluate and act on.
text prompt
Tune the prompt, not the plumbing.
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Customized prompt1214 characters
Act as an experienced viral content creator. Generate 15 scroll-stopping hooks for content about building a practical weekly planning system on a specific platform.
Hook categories (generate 3 of each):
1. CURIOSITY GAP
- "The a specific thing nobody talks about..."
- "I discovered why a specific surprising fact..."
2. CONTRARIAN
- "a specific common advice is wrong. Here's why..."
- "Stop a specific popular thing. Do this instead..."
3. STORY
- "Last week I a specific did something. Here's what happened..."
- "I spent a specific time doing a specific thing. The results..."
4. VALUE
- "a specific number a specific things that changed my a specific outcome"
- "Here's the a specific framework I use to a specific result"
5. EMOTIONAL
- "I almost a specific gave up failed quit until..."
- "Nobody believed me when I said..."
Rules:
- Under 15 words each
- No clickbait (must deliver on promise)
- Platform-specific:
- LinkedIn: Professional but personal
- Twitter/X: Punchy, clever
- Instagram: Visual-first, emotional
- TikTok: Immediate pattern interrupt
Topic: a specific what you re posting about
Platform: a specific where you re posting
Your angle/expertise: a specific what makes you credible
Useful structure, room to move.
Viral Hook Generator guides the model through a defined task while preserving the source prompt's useful structure and constraints. Use it when planning or drafting social content for a defined audience and you want a response that is easier to evaluate and act on.
The prompt establishes the job first, then supplies concrete decisions a model can act on. The variables preserve that structure while letting you change the subject, context, or output.
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