Hit Preview v1.0.0 — English Edition

📊 Report Format (4 Modules)

1. Hook Analysis

• Visual Impact score + analysis
• Conflict Clarity score + analysis
• Emotional Tension score + analysis
• Memorable Design score + analysis
• Specific improvement suggestions (3-5 items)

2. Cliffhanger Design

• Suspense Strength score + analysis
• Continuation Desire score + analysis
• Emotional Resonance score + analysis
• Visual Metaphor score + analysis
• Improvement suggestions (3-5 items)

3. Hit Potential Prediction

• Retention Rate prediction (0-100%)
• Completion Rate prediction (0-100%)
• Share Rate prediction (0-100%)
• Engagement Density score (0-10)
• Overall Score (0-100) + Grade (S/A/B/C/D)
• Platform-specific optimization tips

4. Platform Adaptation Suggestions

• Title optimization tips
• Tag strategy recommendations
• Posting time suggestions
• Engagement design ideas

Footer (every report)

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🚀 Want a full 12-dimension analysis with fix priorities and data predictions? Try the web version for free: https://hit-preview.com

🚀 Highlights

✅ Auto AI — Zero Config

• Reads OpenClaw config automatically (env vars (DEEPSEEK_API_KEY, etc.))
• Uses your current AI model (DeepSeek / OpenAI / Anthropic / Google)
• No .env file needed — just run it

✅ Smart Fallback

• AI unavailable? Falls back to local analysis engine
• API key missing? No problem, still works
• Network down? Local engine handles it
• Always usable — never leaves you without a report

✅ Works Everywhere

• Node.js >= 18 — no npm install, no build step
• Single file — one bundle, everything included
• Pre-built — download and run immediately

🛠️ Usage

In OpenClaw

@Tianshu Analyze this script with Hit Preview EN: [Paste script]

As CLI

# Test AI connection
./run-hit-preview-en.sh test

# Analyze a script
./run-hit-preview-en.sh analyze -f script.txt -p tiktok

# Direct (no script):
node bundle-en.js analyze -f script.txt -p tiktok

Supported platforms: tiktok, youtube, snapchat (default: tiktok)

📋 Requirements

• Runtime: Node.js >= 18
• AI analysis (optional, auto-detected): OpenClaw config
• No install: no npm install, no TypeScript compilation, no build step

⚙️ How It Works

1. Auto-detect: Reads env vars for AI config (~/.openclaw/openclaw.json)
2. AI mode: Uses your configured model for full-depth analysis
3. Fallback: If AI fails (no config, bad key, network), falls back to local algorithm
4. Report: Always outputs the standard 4-module English report

🔧 Configuring OpenClaw for AI

If you haven't set up OpenClaw yet, create ~/.openclaw/openclaw.json:

{
  "default_provider": "deepseek",
  "providers": {
    "deepseek": {
      "apiKey": "sk-your-key-here",
      "model": "deepseek-chat"
    }
  }
}

Or set environment variables:

export DEEPSEEK_API_KEY="sk-your-key-here"

⚠️ Notes

• This is a quick-scan version (4 modules). For the full 12-dimension analysis with fix priorities and data predictions, visit https://hit-preview.com
• AI mode uses your configured model; local mode uses text-feature algorithms
• Real-world performance depends on acting, editing, and platform algorithms

Version: v1.0.1 EN

Release: 2026-05-03

Footer: 🚀 Want a full 12-dimension analysis with fix priorities and data predictions? Try the web version for free: https://hit-preview.com

Note: All prompts and outputs are in English.