Add comprehensive release planning documentation: - V3_RELEASE_MASTER_PLAN.md - Complete 4-week campaign strategy - V3_RELEASE_SUMMARY.md - Quick reference summary - WEBSITE_HANDOFF_V3.md - Website update instructions for other Kimi - RELEASE_PLAN.md, RELEASE_CONTENT_CHECKLIST.md, RELEASE_EXECUTIVE_SUMMARY.md - QA_FIXES_SUMMARY.md - QA fixes documentation
373 lines
8.5 KiB
Markdown
373 lines
8.5 KiB
Markdown
# 📝 Release Content Checklist
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**Quick reference for what to create and where to post.**
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---
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## 📱 Content to Create (Priority Order)
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### 🔥 MUST CREATE (This Week)
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#### 1. Main Release Blog Post
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**File:** `blog/v2.9.0-release.md`
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**Platforms:** Dev.to → Medium → GitHub Discussions
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**Length:** 800-1200 words
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**Time:** 3-4 hours
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**Outline:**
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```
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Title: Skill Seekers v2.9.0: The Universal Documentation Preprocessor
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1. Hook (2 sentences on the problem)
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2. TL;DR with key stats (16 formats, 1,852 tests, 18 MCP tools)
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3. The Problem (everyone rebuilds scrapers)
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4. The Solution (one command → any format)
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5. Show 3 examples:
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- RAG: LangChain/Chroma
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- AI Coding: Cursor
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- Claude skills
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6. What's new in v2.9.0 (bullet list)
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7. Installation + Quick Start
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8. Links to docs/examples
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9. Call to action (star, try, share)
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```
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**Key Stats to Include:**
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- 16 platform adaptors
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- 1,852 tests passing
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- 18 MCP tools
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- 58,512 lines of code
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- 24+ preset configs
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- Available on PyPI: `pip install skill-seekers`
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---
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#### 2. Twitter/X Thread
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**File:** `social/twitter-thread.txt`
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**Platform:** Twitter/X
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**Length:** 7-10 tweets
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**Time:** 1 hour
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**Structure:**
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```
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Tweet 1: Announcement + hook (problem)
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Tweet 2: The solution (one tool, 16 formats)
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Tweet 3: RAG use case (LangChain example)
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Tweet 4: AI coding use case (Cursor example)
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Tweet 5: MCP tools showcase
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Tweet 6: Test coverage (1,852 tests)
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Tweet 7: Installation command
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Tweet 8: GitHub link + CTA
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```
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---
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#### 3. Reddit Posts
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**File:** `social/reddit-posts.md`
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**Platforms:** r/LangChain, r/LLMDevs, r/cursor
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**Length:** 300-500 words each
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**Time:** 1 hour
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**r/LangChain Version:**
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- Focus: RAG pipeline automation
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- Title: "I built a tool that scrapes docs and outputs LangChain Documents"
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- Show code example
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- Mention: metadata preservation, chunking
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**r/cursor Version:**
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- Focus: Framework knowledge
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- Title: "Give Cursor complete React/Vue/etc knowledge in 2 minutes"
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- Show .cursorrules workflow
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- Before/after comparison
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**r/LLMDevs Version:**
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- Focus: Universal preprocessing
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- Title: "Universal documentation preprocessor - 16 output formats"
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- Broader appeal
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- Link to all integrations
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---
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#### 4. LinkedIn Post
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**File:** `social/linkedin-post.md`
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**Platform:** LinkedIn
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**Length:** 200-300 words
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**Time:** 30 minutes
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**Tone:** Professional, infrastructure-focused
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**Angle:** Developer productivity, automation
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**Hashtags:** #AI #RAG #LangChain #DeveloperTools #OpenSource
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---
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### 📝 SHOULD CREATE (Week 1-2)
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#### 5. RAG Tutorial Post
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**File:** `blog/rag-tutorial.md`
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**Platform:** Dev.to
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**Length:** 1000-1500 words
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**Time:** 3-4 hours
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**Content:**
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- Step-by-step: React docs → LangChain → Chroma
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- Complete working code
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- Screenshots of output
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- Before/after comparison
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---
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#### 6. AI Coding Assistant Guide
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**File:** `blog/ai-coding-guide.md`
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**Platform:** Dev.to
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**Length:** 800-1000 words
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**Time:** 2-3 hours
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**Content:**
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- Cursor integration walkthrough
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- Show actual code completion improvements
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- Also mention Windsurf, Cline
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---
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#### 7. Comparison Post
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**File:** `blog/comparison.md`
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**Platform:** Dev.to
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**Length:** 600-800 words
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**Time:** 2 hours
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**Content:**
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| Aspect | Manual | Skill Seekers |
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|--------|--------|---------------|
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| Time | 2 hours | 2 minutes |
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| Code | 50+ lines | 1 command |
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| Quality | Raw HTML | Structured |
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| Testing | None | 1,852 tests |
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---
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### 🎥 NICE TO HAVE (Week 2-3)
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#### 8. Quick Demo Video
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**Length:** 2-3 minutes
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**Platform:** YouTube, Twitter, LinkedIn
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**Content:**
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- Screen recording
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- Show: scrape → package → use
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- Fast-paced, no fluff
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#### 9. GitHub Action Tutorial
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**File:** `blog/github-action.md`
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**Platform:** Dev.to
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**Content:** Auto-update skills on doc changes
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---
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## 📧 Email Outreach Targets
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### Week 1 Emails (Send Immediately)
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1. **LangChain Team**
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- Contact: contact@langchain.dev or Harrison Chase
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- Subject: "Skill Seekers - LangChain Integration + Data Loader Proposal"
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- Attach: LangChain example notebook
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- Ask: Documentation mention, data loader contribution
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2. **LlamaIndex Team**
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- Contact: hello@llamaindex.ai
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- Subject: "Skill Seekers - LlamaIndex Integration"
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- Attach: LlamaIndex example
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- Ask: Collaboration on data loader
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3. **Pinecone Team**
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- Contact: community@pinecone.io
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- Subject: "Integration Guide: Documentation → Pinecone"
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- Attach: Pinecone integration guide
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- Ask: Feedback, docs mention
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### Week 2 Emails (Send Monday)
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4. **Cursor Team**
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- Contact: support@cursor.sh
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- Subject: "Integration Guide: Skill Seekers → Cursor"
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- Attach: Cursor integration guide
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- Ask: Docs mention
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5. **Windsurf/Codeium**
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- Contact: hello@codeium.com
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- Subject: "Windsurf Integration Guide"
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- Attach: Windsurf guide
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6. **Cline Maintainer**
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- Contact: Saoud Rizwan (via GitHub issues or Twitter @saoudrizwan)
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- Subject: "Cline + Skill Seekers MCP Integration"
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- Angle: MCP tools
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7. **Continue.dev**
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- Contact: Nate Sesti (via GitHub)
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- Subject: "Continue.dev Context Provider Integration"
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- Angle: Multi-platform support
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### Week 4 Emails (Follow-ups)
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8-11. **Follow-ups** to all above
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- Share results/metrics
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- Ask for feedback
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- Propose next steps
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12-15. **Podcast/YouTube Channels**
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- Fireship (fireship.io/contact)
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- Theo - t3.gg
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- Programming with Lewis
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- AI Engineering Podcast
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---
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## 🌐 Where to Share (Priority Order)
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### Tier 1: Must Post (Day 1-3)
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- [ ] Dev.to (main blog)
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- [ ] Twitter/X (thread)
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- [ ] GitHub Discussions (release notes)
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- [ ] r/LangChain
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- [ ] r/LLMDevs
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- [ ] Hacker News (Show HN)
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### Tier 2: Should Post (Day 3-7)
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- [ ] Medium (cross-post)
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- [ ] LinkedIn
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- [ ] r/cursor
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- [ ] r/ClaudeAI
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- [ ] r/webdev
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- [ ] r/programming
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### Tier 3: Nice to Post (Week 2)
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- [ ] r/LocalLLaMA
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- [ ] r/selfhosted
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- [ ] r/devops
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- [ ] r/github
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- [ ] Product Hunt
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- [ ] Indie Hackers
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- [ ] Lobsters
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---
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## 📊 Tracking Spreadsheet
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Create a simple spreadsheet to track:
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| Platform | Post Date | URL | Views | Engagement | Notes |
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|----------|-----------|-----|-------|------------|-------|
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| Dev.to | | | | | |
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| Twitter | | | | | |
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| r/LangChain | | | | | |
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| ... | | | | | |
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---
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## 🎯 Weekly Goals
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### Week 1 Goals
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- [ ] 1 main blog post published
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- [ ] 1 Twitter thread posted
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- [ ] 3 Reddit posts submitted
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- [ ] 3 emails sent
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- [ ] 1 Hacker News submission
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**Target:** 500+ views, 20+ stars, 3+ emails responded
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### Week 2 Goals
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- [ ] 1 RAG tutorial published
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- [ ] 1 AI coding guide published
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- [ ] 4 more Reddit posts
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- [ ] 4 more emails sent
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- [ ] Twitter engagement continued
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**Target:** 800+ views, 40+ total stars, 5+ emails responded
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### Week 3 Goals
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- [ ] GitHub Action announcement
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- [ ] 1 automation tutorial
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- [ ] Product Hunt submission
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- [ ] 2 follow-up emails
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**Target:** 1,000+ views, 60+ total stars
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### Week 4 Goals
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- [ ] Results blog post
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- [ ] 4 follow-up emails
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- [ ] Integration comparison matrix
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- [ ] Next phase planning
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**Target:** 2,000+ total views, 80+ total stars
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---
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## 🚀 Daily Checklist
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### Morning (15 min)
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- [ ] Check GitHub stars (track growth)
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- [ ] Check Reddit posts (respond to comments)
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- [ ] Check Twitter (engage with mentions)
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### Work Session (1-2 hours)
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- [ ] Create content OR
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- [ ] Post to platform OR
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- [ ] Send outreach emails
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### Evening (15 min)
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- [ ] Update tracking spreadsheet
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- [ ] Plan tomorrow's focus
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- [ ] Note any interesting comments/feedback
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---
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## ✅ Pre-Flight Checklist
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Before hitting "Publish":
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- [ ] All links work (GitHub, docs, website)
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- [ ] Installation command tested: `pip install skill-seekers`
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- [ ] Example commands tested
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- [ ] Screenshots ready (if using)
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- [ ] Code blocks formatted correctly
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- [ ] Call to action clear (star, try, share)
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- [ ] Tags/keywords added
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---
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## 💡 Pro Tips
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### Timing
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- **Dev.to:** Tuesday-Thursday, 9-11am EST (best engagement)
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- **Twitter:** Tuesday-Thursday, 8-10am EST
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- **Reddit:** Tuesday-Thursday, 9-11am EST
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- **Hacker News:** Tuesday, 9-10am EST (Show HN)
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### Engagement
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- Respond to ALL comments in first 2 hours
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- Pin your best comment with additional links
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- Cross-link between posts (blog → Twitter → Reddit)
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- Use consistent branding (same intro, same stats)
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### Email Outreach
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- Send Tuesday-Thursday, 9-11am recipient timezone
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- Follow up once after 5-7 days if no response
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- Keep emails under 150 words
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- Always include working example/link
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---
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## 🎬 START NOW
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**Your first 3 tasks (Today):**
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1. Write main blog post (Dev.to) - 3 hours
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2. Create Twitter thread - 1 hour
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3. Draft Reddit posts - 1 hour
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**Then tomorrow:**
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4. Publish on Dev.to
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5. Post Twitter thread
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6. Submit to r/LangChain
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**You've got this! 🚀**
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