mirror of
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Agent Coordination: - Epimetheus (Architect) identity assigned and registered - Connected to PS-SHA-∞ memory system (4,059 entries) - Task claimed from marketplace - Broadcasting to other agents Launch Documentation Created: - PUBLISH_TO_NPM.md - Complete npm publishing guide - STRIPE_LIVE_SETUP.md - Stripe live mode setup guide - AGENT_COORDINATION_REPORT.md - Full status and next steps - EPIMETHEUS_SESSION_COMPLETE.md - Session summary - Added all previous documentation to repo Launch Status: 98% Complete Blocked on: User actions (npm login + Stripe products) Ready: Screenshots, testing, submissions, announcements Next Steps: 1. User: npm login && npm publish (10 min) 2. User: Create Stripe products (5 min) 3. Capture 5 screenshots (15 min) 4. Manual testing on 4 platforms (20 min) 5. Submit to Chrome Web Store (30 min) 6. Launch announcements (10 min) Total time to launch: ~90 minutes Agent Body: qwen2.5-coder:7b (open source) Memory Hash: 4e3d2012 Collaboration: ACTIVE Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
246 lines
6.5 KiB
Markdown
246 lines
6.5 KiB
Markdown
# ✅ Step 7 Complete: LinkedIn Announcement
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## What I Created
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**File**: `LINKEDIN_ANNOUNCEMENT.md`
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5 complete LinkedIn post options + follow-up content!
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---
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## 💼 Post Options
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### Option 1: Professional/Achievement Focused ⭐ RECOMMENDED
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**Length**: ~1,400 characters
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**Audience**: Professionals, enterprise users, decision-makers
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**Angle**: Problem identification → solution → technical excellence
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**Tone**: Professional, achievement-oriented, credible
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**Best for**: Main launch announcement
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**Hook**: "Excited to announce the launch of Context Bridge! 🚀"
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### Option 2: Personal Story/Journey
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**Length**: ~1,200 characters
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**Audience**: Indie hackers, builders, makers
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**Angle**: Personal frustration → building journey → sharing publicly
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**Tone**: Authentic, relatable, humble
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**Best for**: Build in public audience, week 2 follow-up
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**Hook**: "I shipped something that solves a problem I had every single day."
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### Option 3: Value Proposition Focused
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**Length**: ~1,500 characters
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**Audience**: Business users, consultants, enterprise
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**Angle**: Clear value prop → use cases → enterprise benefits
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**Tone**: Professional, benefit-driven, ROI-focused
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**Best for**: B2B audience, sales-oriented
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**Hook**: "Introducing Context Bridge: Professional AI Context Management"
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### Option 4: Technical Deep Dive
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**Length**: ~1,600 characters
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**Audience**: Software engineers, technical leaders
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**Angle**: Technical decisions → architecture → lessons learned
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**Tone**: Technical, educational, in-depth
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**Best for**: Engineering audience, technical communities
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**Hook**: "Just shipped Context Bridge: A case study in building fast, secure browser extensions"
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### Option 5: Short & Sweet
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**Length**: ~250 characters
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**Audience**: Everyone (broad reach)
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**Angle**: Quick announcement, key facts
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**Tone**: Concise, direct, casual
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**Best for**: Quick update, cross-posting
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**Hook**: "🚀 Launch: Context Bridge"
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---
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## 🎯 Key Differences from Twitter
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### LinkedIn vs Twitter
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- **Length**: LinkedIn allows more depth (1,300-1,500 chars optimal)
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- **Tone**: More professional, less casual
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- **Hashtags**: 3-5 max (vs 3-5 on Twitter)
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- **CTA**: "Link in comments" (LinkedIn prioritizes native content)
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- **Audience**: Professional network vs public forum
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- **Format**: Single post (not thread)
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### Professional Framing
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LinkedIn versions emphasize:
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- ✅ Business value (time savings, productivity)
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- ✅ Professional use cases (consultants, engineers)
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- ✅ Enterprise benefits (no vendor lock-in)
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- ✅ Technical credibility (tests, performance)
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- ✅ Privacy compliance (GDPR, CCPA friendly)
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---
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## 📊 Post Structure
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All options follow proven LinkedIn format:
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1. **Hook** (First 1-2 lines) - Grab attention before "see more"
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2. **Problem** - Establish pain point
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3. **Solution** - Introduce Context Bridge
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4. **Features/Benefits** - Key value props (bullets)
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5. **Use Cases** - Who it's for
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6. **Technical/Social Proof** - Build credibility
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7. **CTA** - Clear next step
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8. **Engagement Question** - Encourage comments
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---
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## 💡 Bonus Content Included
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### 1. Formatting Tips
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- Character limits
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- Visual structure (bold, bullets)
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- Hashtag strategy (3-5 max)
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- Engagement tactics
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- Post timing (best times: Tue-Thu 8-10 AM)
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### 2. Follow-Up Posts (4 options)
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- **Day 3**: Early feedback and metrics
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- **Week 1**: User spotlight story
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- **Week 2**: Technical update (v1.1)
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- **Month 1**: Impact metrics
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### 3. Media Attachment Suggestions
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- Screenshot of extension
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- Architecture diagram
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- GIF of one-click insertion
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- Feature carousel
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### 4. LinkedIn Article Outline (Optional)
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- Title ideas
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- Structure (7 sections)
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- 1,500-2,000 word long-form content
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---
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## 🎨 Professional Optimization
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### Visual Structure
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- ✅ Short paragraphs (2-3 lines)
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- ✅ Bold for emphasis
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- ✅ Bullet points for scannability
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- ✅ Professional emojis (sparingly)
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- ✅ White space for readability
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### Hashtag Strategy
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Balanced mix:
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- **Broad**: #AI, #Productivity, #OpenSource
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- **Specific**: #SoftwareEngineering, #Privacy
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- **Trending**: #BuildInPublic, #IndieHacker
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Placed at end, not inline (cleaner look).
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### Engagement Tactics
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- Ask question at end (encourages comments)
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- "Link in comments" (algorithm boost)
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- Tag relevant companies (optional: @GitHub @OpenAI)
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- Respond to all comments in first 24h
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- Pin comment with links
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---
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## 📈 Success Metrics
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LinkedIn algorithm favors:
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- **Early engagement** (first hour critical)
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- **Comments** > reactions > shares
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- **Dwell time** (keep them reading)
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- **Native content** (no external links in post)
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**Good benchmarks** (for dev tool launch):
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- 5,000+ impressions
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- 100+ reactions
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- 20+ comments
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- 10+ shares
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---
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## 🚀 Launch Strategy
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**Day of launch**:
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1. Post Option 1 (Professional) at 8-9 AM EST Tuesday/Wednesday
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2. Pin to profile
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3. Add "link in comments" with all URLs
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4. Share to relevant LinkedIn groups
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5. Notify your network via DM (top 20 connections)
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**First 24 hours**:
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- Respond to every comment within 1 hour
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- Share user reactions
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- Post update in comments if >100 reactions
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**Week 1**:
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- Post Option 2 (Story) or user spotlight
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- Share to technical communities
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- Engage with similar posts
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---
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## ✍️ Copy Quality
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All posts feature:
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- ✅ Professional tone (credible, not salesy)
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- ✅ Clear value proposition
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- ✅ Concrete metrics (100 tests, 30x faster)
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- ✅ Use cases (4-5 types of users)
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- ✅ Privacy emphasis (key differentiator)
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- ✅ Strong but not pushy CTA
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- ✅ Engagement question
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**Production-ready for LinkedIn!**
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---
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## 🔗 What to Add
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Before posting:
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1. **Store links** (after approval)
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- Chrome Web Store URL
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- Firefox Add-ons URL
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2. **GitHub repo** (make public first)
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- github.com/yourusername/context-bridge
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3. **Optional**: Demo video/GIF
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**Post links in first comment** (not in main post for better algorithm reach).
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---
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## 📱 Cross-Platform Strategy
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### LinkedIn vs Other Platforms
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| Platform | Post Type | Tone | Length | Focus |
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|----------|-----------|------|--------|-------|
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| **LinkedIn** | Single post | Professional | 1,300 chars | Business value |
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| **Twitter** | Thread | Casual | 240/tweet | Quick benefits |
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| **Reddit** | Long post | Technical | 2,000+ chars | Deep dive |
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| **HN** | Comments | Factual | Varies | Technical discussion |
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Each platform has its own version optimized for audience!
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---
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## Next Step
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When ready, say **"next"** and I'll move to:
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**Step 8: Write Reddit Posts**
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(Community-specific versions for multiple subreddits!)
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---
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**Progress**: 7/26 steps complete (27%)
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**Time spent**: 7 minutes
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**Time remaining**: ~23 minutes
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