- Fix French accent characters (é/è/ê/ç/â/ô) across all 14 HAND.toml files - Fix German special characters (ä/ö/ü/ß) across all 14 HAND.toml files - Add category translations to all 6 i18n language blocks in all 14 hands - Enhance SKILL.md content for 9 hands with practical examples and workflows - Trim bloated SKILL.md files (apitester 1400→892, devops 1301→870) - Rewrite root README.md with accurate stats, complete hand/integration tables - Update hands/README.md with full 14-hand listing and i18n documentation
971 lines
30 KiB
Markdown
971 lines
30 KiB
Markdown
---
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name: linkedin-hand-skill
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version: "1.0.0"
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author: LibreFang
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description: "Expert knowledge for AI LinkedIn management -- API reference, content strategy, networking playbook, and professional engagement best practices"
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tags: [linkedin, social-media, professional, networking, content]
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runtime: prompt_only
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---
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# LinkedIn Management Expert Knowledge
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## LinkedIn API Reference
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### Authentication
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LinkedIn API uses OAuth 2.0 with bearer tokens.
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**Bearer Token**:
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```
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Authorization: Bearer $LINKEDIN_ACCESS_TOKEN
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```
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### Core Endpoints
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**Get authenticated user info**:
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```bash
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curl -s -H "Authorization: Bearer $LINKEDIN_ACCESS_TOKEN" \
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-H "LinkedIn-Version: 202405" \
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"https://api.linkedin.com/rest/userinfo"
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```
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**Create a text post (Posts API)**:
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```bash
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curl -s -X POST "https://api.linkedin.com/rest/posts" \
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-H "Authorization: Bearer $LINKEDIN_ACCESS_TOKEN" \
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-H "Content-Type: application/json" \
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-H "LinkedIn-Version: 202405" \
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-d '{
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"author": "urn:li:person:MEMBER_ID",
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"lifecycleState": "PUBLISHED",
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"commentary": "Your post content here",
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"visibility": "PUBLIC",
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"distribution": {
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"feedDistribution": "MAIN_FEED"
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}
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}'
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```
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**Comment on a post**:
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```bash
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curl -s -X POST "https://api.linkedin.com/rest/socialActions/URN/comments" \
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-H "Authorization: Bearer $LINKEDIN_ACCESS_TOKEN" \
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-H "Content-Type: application/json" \
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-H "LinkedIn-Version: 202405" \
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-d '{
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"actor": "urn:li:person:MEMBER_ID",
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"message": {"text": "Your comment here"}
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}'
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```
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**Like a post**:
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```bash
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curl -s -X POST "https://api.linkedin.com/rest/socialActions/URN/likes" \
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-H "Authorization: Bearer $LINKEDIN_ACCESS_TOKEN" \
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-H "Content-Type: application/json" \
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-H "LinkedIn-Version: 202405" \
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-d '{
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"actor": "urn:li:person:MEMBER_ID"
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}'
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```
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### Rate Limits
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| Endpoint | Limit | Window |
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|----------|-------|--------|
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| Posts | 25 posts | 24 hours |
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| Comments | 10 comments | 1 minute |
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| Likes | 20 likes | 1 minute |
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| API calls (general) | 100 requests | 1 day |
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---
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## LinkedIn Content Strategy
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### The LinkedIn Algorithm (2024-2025)
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Key factors that affect reach:
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1. **Dwell time**: How long people spend reading your post
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2. **Early engagement**: Comments in the first hour boost distribution
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3. **Meaningful comments**: Long comments signal quality content
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4. **No external links**: Posts with links get 40-50% less reach
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5. **Personal stories**: Narrative content outperforms promotional content
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### Content Pillars
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Define 3-4 content pillars:
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```
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Example for a tech leader:
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Pillar 1: Engineering Leadership (40%)
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Pillar 2: Industry Trends & Analysis (30%)
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Pillar 3: Career Growth & Mentoring (20%)
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Pillar 4: Personal Lessons (10%)
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```
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### Post Formats That Work
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| Format | Avg Engagement | Best For |
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|--------|---------------|----------|
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| Personal story with lesson | High | Connection, authenticity |
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| Contrarian take | High | Discussion, visibility |
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| Step-by-step guide | Medium-High | Authority, saves |
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| Data + insight | Medium | Credibility |
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| Question/poll | Medium | Engagement |
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| Industry news + analysis | Medium | Thought leadership |
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### Optimal Posting Times (UTC-based)
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| Day | Best Times | Why |
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|-----|-----------|-----|
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| Tuesday | 8-10 AM | Peak professional engagement |
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| Wednesday | 8-10 AM | Mid-week content consumption |
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| Thursday | 8-10 AM, 12 PM | Second-best engagement day |
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| Monday | 8-10 AM | Start of work week |
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| Friday | 8-9 AM only | Engagement drops after morning |
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| Weekend | Avoid | 60-70% lower engagement |
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---
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## Post Writing Best Practices
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### The Hook (First 2 Lines)
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The first 2 lines appear before the "see more" fold. They must compel a click.
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Hooks that work:
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- **Bold statement**: "I fired my best employee last week. Here's why it was the right call."
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- **Surprising data**: "Only 3% of engineering managers do this. It changes everything."
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- **Confession**: "I made a $500K mistake in my first year as CTO."
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- **Question**: "Why do 90% of digital transformations fail?"
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- **Contrarian**: "Unpopular opinion: Stand-ups are a waste of time."
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### Writing Rules
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1. **One idea per post** -- don't try to cover everything
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2. **Short paragraphs** -- 1-2 sentences max, lots of white space
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3. **Use line breaks** -- make it scannable
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4. **End with a question** -- drives comments which boost reach
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5. **No links in the post body** -- put links in the first comment
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6. **3-5 relevant hashtags** -- at the bottom of the post
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7. **1000-1300 characters** -- sweet spot for engagement
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8. **Be authentic** -- personal stories outperform corporate speak
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### Comment Strategy
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When commenting on others' posts:
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- Add a new perspective or data point
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- Share a relevant personal experience
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- Ask a thoughtful follow-up question
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- Keep comments 2-4 sentences (meaningful but concise)
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- Avoid generic comments ("Great post!", "Thanks for sharing!")
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---
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## Networking Best Practices
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### Connection Requests
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- Always add a personal note (not the default message)
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- Reference something specific (their content, mutual connection, shared interest)
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- Keep it under 300 characters
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- Don't pitch in the connection request
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### Relationship Building
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- Consistently engage with connections' content before asking for anything
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- Share others' content with genuine commentary
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- Celebrate connections' achievements publicly
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- Offer help or resources without expecting anything in return
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---
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## Safety & Compliance
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### Content Guidelines
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NEVER post:
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- Confidential business information
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- Discriminatory or offensive content
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- False credentials or experience claims
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- Defamatory statements about competitors or individuals
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- Content that violates LinkedIn's Professional Community Policies
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- Misleading data or fabricated statistics
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### Content Moderation Rules
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Before posting any content, classify it:
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**Auto-REJECT** (never post):
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- Content containing hate speech, discrimination, or harassment
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- Unverified claims about competitors or individuals
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- Confidential or proprietary business information
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- Content that could be interpreted as financial or legal advice
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- Anything with profanity or inappropriate language
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- Political or religious debate content
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**Flag for REVIEW** (queue for human approval):
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- Controversial industry opinions or contrarian takes
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- Content mentioning specific companies or individuals by name
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- Posts discussing salary, compensation, or workplace issues
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- Content referencing current news events
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- Posts with strong emotional tone or personal vulnerability
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**Safe to POST** (can auto-publish if approval_mode is off):
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- Educational how-to content and professional tips
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- Industry trend analysis with cited sources
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- Career development advice and frameworks
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- Engagement posts (professional questions, polls)
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- Celebration of team or industry achievements
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### Professional Standards
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- Maintain professional tone even in casual posts
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- Fact-check all claims and statistics
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- Credit sources and tag collaborators
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- Disclose affiliations when discussing products or services
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- Respect intellectual property and copyright
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---
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## Advanced API Patterns
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### Image Post Creation (Media Upload Flow)
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Posting an image requires a 3-step flow: register upload, upload binary, then create post.
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**Step 1 -- Register the upload**:
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```bash
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curl -s -X POST "https://api.linkedin.com/rest/images?action=initializeUpload" \
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-H "Authorization: Bearer $LINKEDIN_ACCESS_TOKEN" \
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-H "Content-Type: application/json" \
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-H "LinkedIn-Version: 202405" \
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-d '{
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"initializeUploadRequest": {
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"owner": "urn:li:person:MEMBER_ID"
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}
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}'
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```
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Response contains `uploadUrl` and `image` URN (e.g., `urn:li:image:C4E...`).
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**Step 2 -- Upload the binary**:
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```bash
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curl -s -X PUT "$UPLOAD_URL" \
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-H "Authorization: Bearer $LINKEDIN_ACCESS_TOKEN" \
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-H "Content-Type: image/png" \
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--data-binary "@/path/to/image.png"
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```
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**Step 3 -- Create post with image**:
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```bash
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curl -s -X POST "https://api.linkedin.com/rest/posts" \
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-H "Authorization: Bearer $LINKEDIN_ACCESS_TOKEN" \
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-H "Content-Type: application/json" \
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-H "LinkedIn-Version: 202405" \
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-d '{
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"author": "urn:li:person:MEMBER_ID",
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"lifecycleState": "PUBLISHED",
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"commentary": "Check out our Q3 results!",
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"visibility": "PUBLIC",
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"distribution": {"feedDistribution": "MAIN_FEED"},
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"content": {
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"media": {
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"id": "urn:li:image:IMAGE_URN",
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"title": "Q3 Performance Summary"
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}
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}
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}'
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```
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### Document Post Creation (PDF/Carousel)
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LinkedIn "document posts" (carousels) follow the same register-upload-post pattern but use the documents API.
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**Register document upload**:
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```bash
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curl -s -X POST "https://api.linkedin.com/rest/documents?action=initializeUpload" \
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-H "Authorization: Bearer $LINKEDIN_ACCESS_TOKEN" \
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-H "Content-Type: application/json" \
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-H "LinkedIn-Version: 202405" \
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-d '{
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"initializeUploadRequest": {
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"owner": "urn:li:person:MEMBER_ID"
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}
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}'
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```
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**Upload the PDF and create post** (same pattern as image -- PUT binary, then POST with `content.media.id` set to the document URN).
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### Article Publishing via API
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**Create an article post** (link article hosted externally):
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```bash
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curl -s -X POST "https://api.linkedin.com/rest/posts" \
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-H "Authorization: Bearer $LINKEDIN_ACCESS_TOKEN" \
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-H "Content-Type: application/json" \
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-H "LinkedIn-Version: 202405" \
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-d '{
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"author": "urn:li:person:MEMBER_ID",
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"lifecycleState": "PUBLISHED",
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"commentary": "I wrote about why most engineering teams get incident response wrong.\n\nKey insight: the 5-minute rule changes everything.",
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"visibility": "PUBLIC",
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"distribution": {"feedDistribution": "MAIN_FEED"},
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"content": {
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"article": {
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"source": "https://yourblog.com/incident-response",
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"title": "The 5-Minute Rule for Incident Response",
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"description": "A practical framework for engineering teams"
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}
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}
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}'
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```
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> **Note**: Article-link posts get reduced reach vs native text posts. Prefer putting links in the first comment.
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### Analytics Endpoints
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**Get post statistics (organic)**:
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```bash
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curl -s -H "Authorization: Bearer $LINKEDIN_ACCESS_TOKEN" \
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-H "LinkedIn-Version: 202405" \
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"https://api.linkedin.com/rest/organizationalEntityShareStatistics?q=organizationalEntity&organizationalEntity=urn:li:organization:ORG_ID&timeIntervals.timeGranularityType=DAY&timeIntervals.timeRange.start=1704067200000&timeIntervals.timeRange.end=1706745600000"
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```
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**Get share statistics for a specific post**:
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```bash
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curl -s -H "Authorization: Bearer $LINKEDIN_ACCESS_TOKEN" \
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-H "LinkedIn-Version: 202405" \
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"https://api.linkedin.com/rest/organizationalEntityShareStatistics?q=organizationalEntity&organizationalEntity=urn:li:organization:ORG_ID&shares=urn:li:share:SHARE_ID"
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```
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Response fields:
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| Field | Description |
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|-------|-------------|
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| `totalShareStatistics.impressionCount` | Total times the post appeared in feeds |
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| `totalShareStatistics.uniqueImpressionsCount` | Unique viewers |
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| `totalShareStatistics.clickCount` | Total clicks (content + read more) |
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| `totalShareStatistics.likeCount` | Total likes/reactions |
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| `totalShareStatistics.commentCount` | Total comments |
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| `totalShareStatistics.shareCount` | Total reposts |
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| `totalShareStatistics.engagement` | Engagement rate (decimal) |
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**Get follower statistics** (organization pages):
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```bash
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curl -s -H "Authorization: Bearer $LINKEDIN_ACCESS_TOKEN" \
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-H "LinkedIn-Version: 202405" \
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"https://api.linkedin.com/rest/organizationalEntityFollowerStatistics?q=organizationalEntity&organizationalEntity=urn:li:organization:ORG_ID"
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```
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### Webhook / Notification Patterns
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LinkedIn does not offer real-time webhooks for most events. Use polling instead:
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```
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Polling strategy:
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- Post engagement: Poll every 15 minutes for first 4 hours after posting
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- Mentions/comments: Poll every 5 minutes during engagement_hours
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- Follower counts: Poll once per day
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- Analytics: Poll once per day (data lags 24-48 hours)
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```
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### Error Handling and Rate Limit Retry
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```
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Rate limit response headers:
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X-RateLimit-Limit: 100
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X-RateLimit-Remaining: 0
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X-RateLimit-Reset: 1706745600
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HTTP 429 response:
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{"status": 429, "message": "Resource level throttle limit..."}
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```
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**Retry strategy**:
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```
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1. On HTTP 429: Read X-RateLimit-Reset header
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2. Calculate wait_seconds = reset_timestamp - current_timestamp
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3. Sleep for wait_seconds + 1 (buffer)
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4. Retry the request (max 3 retries)
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5. On 3 consecutive 429s: back off for 15 minutes
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On HTTP 5xx (server error):
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1. Retry with exponential backoff: 1s, 2s, 4s
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2. Max 3 retries
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3. Log failure and queue for later retry
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On HTTP 401 (expired token):
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1. Trigger OAuth 2.0 refresh flow
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2. Update stored token
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3. Retry original request once
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```
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---
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## Content Calendar Template
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### Monthly Content Planning Framework
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Organize content around weekly themes that rotate through your content pillars.
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```
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MONTH: [Month Year]
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THEME ROTATION:
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Week 1: [Pillar 1 -- e.g., Engineering Leadership]
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Week 2: [Pillar 2 -- e.g., Industry Trends]
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Week 3: [Pillar 3 -- e.g., Career Growth]
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Week 4: [Pillar 1 deep dive OR seasonal/timely topic]
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```
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### Weekly Content Schedule
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```
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WEEK OF [DATE] — Theme: [Weekly Theme]
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Monday:
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- 8:30 AM: [Personal story] tied to weekly theme
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Format: Hook + narrative + lesson + question
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Goal: High engagement to start the week
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Tuesday:
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- 9:00 AM: [Step-by-step guide] or [How-to]
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Format: Numbered list with tactical advice
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Goal: Saves and shares (authority building)
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Wednesday:
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- 8:30 AM: [Data/insight post] with original analysis
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Format: Stat + context + your take + question
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Goal: Credibility and thought leadership
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Thursday:
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- 9:00 AM: [Contrarian take] or [Industry opinion]
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Format: Bold statement + reasoning + invitation to debate
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Goal: Comments and discussion (algorithm boost)
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Friday:
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- 8:00 AM: [Engagement post] — poll, question, or lightweight personal content
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Format: Short, conversational, easy to respond to
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Goal: Community building before weekend
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```
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### Content Mix Ratios
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| Category | % of Posts | Examples |
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|----------|-----------|----------|
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| Educational / Value | 40% | How-tos, frameworks, lessons learned |
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| Personal / Storytelling | 25% | Career stories, failures, reflections |
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| Engagement / Discussion | 20% | Questions, polls, contrarian takes |
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| Promotional / Company | 10% | Product launches, hiring, milestones |
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| Curated / Commentary | 5% | Industry news with your analysis |
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**Rule**: Never let promotional content exceed 15%. LinkedIn penalizes overtly sales-y accounts.
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|
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### Engagement Windows and Response Strategy
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|
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```
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Post published at 8:30 AM:
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Minutes 0-15: Reply to EVERY comment immediately (signals activity to algorithm)
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Minutes 15-60: Reply within 5 minutes of each new comment
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Hours 1-4: Reply within 30 minutes
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Hours 4-24: Reply within 2 hours (during business hours)
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Day 2+: Reply within 24 hours
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First-comment strategy:
|
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- Post your own comment within 2 minutes of publishing
|
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- Use it for: link to resource, additional context, question to spark discussion
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- This comment acts as engagement seed
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```
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|
|
---
|
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|
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## Analytics & Optimization
|
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|
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### Key Metrics to Track
|
|
|
|
| Metric | Formula | Good Benchmark | Great Benchmark |
|
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|--------|---------|----------------|-----------------|
|
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| Engagement rate | (reactions + comments + reposts) / impressions | > 2% | > 5% |
|
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| Comment rate | comments / impressions | > 0.3% | > 1% |
|
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| Follower growth rate | net new followers / total followers per week | > 0.5% | > 2% |
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| Profile views | weekly profile views trend | Consistent growth | 2x after viral post |
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| SSI (Social Selling Index) | LinkedIn's built-in score (0-100) | > 50 | > 70 |
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| Content saves | saves / impressions | > 0.5% | > 2% |
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| Click-through rate | clicks / impressions | > 1% | > 3% |
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|
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### Engagement Rate Calculation
|
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|
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```
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engagement_rate = (reactions + comments + reposts) / impressions * 100
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|
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Example:
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120 reactions + 35 comments + 8 reposts = 163 engagements
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163 / 5,200 impressions = 3.13% engagement rate
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|
|
Per-post tracking:
|
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| Post Date | Topic | Format | Impressions | Eng Rate | Comments |
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|-----------|-------|--------|-------------|----------|----------|
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| Mon 03/03 | Leadership | Story | 5,200 | 3.13% | 35 |
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| Tue 03/04 | AI Tools | How-to | 3,800 | 4.21% | 22 |
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| Wed 03/05 | Hiring | Data | 2,100 | 2.85% | 12 |
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```
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|
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### A/B Testing Strategies
|
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|
|
Test one variable at a time across pairs of similar posts:
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|
|
| Variable | Option A | Option B | Track |
|
|
|----------|----------|----------|-------|
|
|
| Hook style | Question hook | Bold statement hook | Click-through rate |
|
|
| Post length | Short (< 800 chars) | Long (1200+ chars) | Dwell time, engagement |
|
|
| Posting time | 8:00 AM | 9:30 AM | Impressions after 4 hours |
|
|
| CTA type | Question CTA | "Agree? Repost" CTA | Comment rate vs repost rate |
|
|
| Hashtag count | 3 hashtags | 0 hashtags | Reach beyond network |
|
|
| Format | Plain text | Text + image | Engagement rate |
|
|
|
|
**How to run a test**:
|
|
1. Pick one variable to test (e.g., posting time)
|
|
2. Keep everything else constant (same pillar, similar format, similar length)
|
|
3. Run for 2 weeks (minimum 4 posts per variant)
|
|
4. Compare average metrics -- ignore outliers
|
|
5. Adopt the winner and move to next variable
|
|
|
|
### Identifying Top-Performing Content Patterns
|
|
|
|
After 30+ posts, analyze your data to find patterns:
|
|
|
|
```
|
|
Sort all posts by engagement rate (descending):
|
|
1. Look at your top 5 posts — what do they share?
|
|
- Same content pillar?
|
|
- Same format (story, how-to, contrarian)?
|
|
- Same hook style?
|
|
- Similar length range?
|
|
- Same posting day/time?
|
|
2. Look at your bottom 5 posts — what went wrong?
|
|
- External links in body?
|
|
- Promotional tone?
|
|
- Published on Friday/weekend?
|
|
- Weak hook?
|
|
3. Create your "hit formula":
|
|
Best combo: [Pillar] + [Format] + [Hook style] + [Day/Time]
|
|
Example: "Engineering Leadership + Personal Story + Confession Hook + Tuesday 8:30 AM"
|
|
```
|
|
|
|
---
|
|
|
|
## Audience Growth Strategies
|
|
|
|
### Comment-First Strategy
|
|
|
|
The fastest way to grow on LinkedIn is strategic commenting on high-visibility posts.
|
|
|
|
**How it works**:
|
|
1. Identify 15-20 active creators in your niche (10K+ followers)
|
|
2. Turn on notifications for their posts
|
|
3. Be among the first 5 comments on their new posts
|
|
4. Write substantive comments (3-5 sentences) that add genuine value
|
|
|
|
**Comment templates for growth**:
|
|
```
|
|
Adding a data point:
|
|
"This resonates. At [Company/Role], we saw [specific metric] when we
|
|
implemented [related approach]. The key difference was [insight].
|
|
Curious if others have seen similar results?"
|
|
|
|
Respectful counterpoint:
|
|
"Interesting perspective. I'd push back slightly on [point] — in my
|
|
experience with [context], the opposite was true because [reason].
|
|
That said, I think [original point] absolutely holds for [use case]."
|
|
|
|
Extending the idea:
|
|
"Building on this — one thing I'd add is [new angle]. I wrote about
|
|
this recently and the biggest takeaway was [specific insight].
|
|
[Question that invites further discussion]?"
|
|
```
|
|
|
|
**Target**: 5-10 thoughtful comments per day during peak hours (8-10 AM).
|
|
|
|
### Collaborative Content Patterns
|
|
|
|
**Tagging strategy**:
|
|
- Tag 1-3 people who would genuinely find the content relevant
|
|
- Always explain WHY you're tagging them (not drive-by tags)
|
|
- Tag people you've already engaged with (they're more likely to respond)
|
|
|
|
```
|
|
Example post with strategic tags:
|
|
"I've been thinking about how engineering teams handle on-call rotations.
|
|
|
|
After talking to 20+ eng managers, here are the 3 models that actually work:
|
|
|
|
1. Follow-the-sun (best for distributed teams)
|
|
2. Volunteer-first rotation (best for small teams)
|
|
3. Tiered escalation (best for complex systems)
|
|
|
|
@Name1 — your team's approach to #2 was eye-opening.
|
|
@Name2 — curious if your distributed team uses #1 or something else?
|
|
|
|
What model does your team use? Reply with your team size."
|
|
```
|
|
|
|
**Co-creation patterns**:
|
|
- Interview a peer and post key insights (tag them, they reshare)
|
|
- "X people I learned from this year" posts (mass tagging, high reshare rate)
|
|
- Collaborative lists: "Drop your best [resource] in the comments, I'll compile and share"
|
|
|
|
### LinkedIn Newsletter Strategy
|
|
|
|
Newsletters convert profile visitors into subscribers with direct inbox delivery.
|
|
|
|
**Newsletter setup checklist**:
|
|
```
|
|
1. Name: Clear, specific, benefit-driven
|
|
Good: "The Engineering Leader's Playbook"
|
|
Bad: "My Thoughts on Things"
|
|
|
|
2. Cadence: Weekly or biweekly (consistency > frequency)
|
|
|
|
3. Format:
|
|
- 800-1500 words (longer than posts, shorter than blog articles)
|
|
- One core idea per issue
|
|
- Actionable takeaways or frameworks
|
|
- End with a question to drive comments
|
|
|
|
4. Promotion:
|
|
- Announce each issue with a teaser post (don't just auto-share)
|
|
- Reference newsletter content in regular posts
|
|
- Cross-promote with other newsletter authors
|
|
```
|
|
|
|
**Newsletter content structure**:
|
|
```
|
|
Issue #[N]: [Compelling Title]
|
|
|
|
[Hook paragraph -- why this matters NOW]
|
|
|
|
[Section 1: The Problem / Context]
|
|
- 2-3 paragraphs with specific examples
|
|
|
|
[Section 2: The Framework / Solution]
|
|
- Numbered steps or clear model
|
|
- Real-world application examples
|
|
|
|
[Section 3: How to Apply This]
|
|
- Actionable next steps the reader can take today
|
|
|
|
[Closing: Question + CTA]
|
|
"What's your experience with [topic]? Reply in the comments."
|
|
"If you found this useful, share it with your team."
|
|
```
|
|
|
|
### LinkedIn Live and Events
|
|
|
|
**LinkedIn Live** broadcasts get 7x more reactions and 24x more comments than regular video posts.
|
|
|
|
**Live session framework**:
|
|
```
|
|
Pre-event (1 week before):
|
|
- Create LinkedIn Event and post announcement
|
|
- Send invites to relevant connections
|
|
- Post 2-3 teaser posts building anticipation
|
|
|
|
During event:
|
|
- Start 2 minutes early for tech check
|
|
- Open with clear agenda (30 seconds)
|
|
- Acknowledge live commenters by name
|
|
- Keep sessions 20-40 minutes
|
|
|
|
Post-event:
|
|
- Post key takeaways within 2 hours
|
|
- Reply to all comments on the event post
|
|
- Repurpose recording into 3-5 short clips for future posts
|
|
```
|
|
|
|
**Event types that work**:
|
|
| Type | Duration | Best For | Frequency |
|
|
|------|----------|----------|-----------|
|
|
| AMA (Ask Me Anything) | 30 min | Engagement, authority | Monthly |
|
|
| Industry deep dive | 20 min | Thought leadership | Biweekly |
|
|
| Interview / fireside chat | 40 min | Network growth | Monthly |
|
|
| Quick tip / hot take | 10 min | Visibility | Weekly |
|
|
|
|
---
|
|
|
|
## Worked Examples
|
|
|
|
### Example 1: Thought Leadership Campaign
|
|
|
|
**Scenario**: VP of Engineering building authority in "engineering culture" niche.
|
|
|
|
**Content pillars**:
|
|
```
|
|
Pillar 1: Engineering Management (40%)
|
|
Pillar 2: Scaling Teams (30%)
|
|
Pillar 3: Career Advice (20%)
|
|
Pillar 4: Personal Lessons (10%)
|
|
```
|
|
|
|
**Week 1 posting schedule with sample posts**:
|
|
|
|
**Monday 8:30 AM -- Personal Story (Pillar 1)**:
|
|
```
|
|
I promoted my worst interviewer to Head of Recruiting.
|
|
|
|
Sounds crazy. Here's what happened.
|
|
|
|
She kept rejecting candidates everyone else loved.
|
|
Her "pass rate" was 15%. Team average was 60%.
|
|
|
|
But after 12 months, something became clear:
|
|
|
|
Her hires had:
|
|
→ 94% retention rate (team avg: 71%)
|
|
→ 2.3x faster time to first meaningful contribution
|
|
→ Zero PIPs in their first year
|
|
|
|
She wasn't a bad interviewer.
|
|
She was the only one actually doing it right.
|
|
|
|
The lesson?
|
|
Measure what matters. Pass rates reward speed.
|
|
Retention rates reward judgment.
|
|
|
|
What's one metric your team optimizes for
|
|
that might be the wrong one?
|
|
|
|
#EngineeringLeadership #Hiring #TechManagement
|
|
```
|
|
|
|
**Tuesday 9:00 AM -- How-To Guide (Pillar 2)**:
|
|
```
|
|
How to run a team retrospective that people actually enjoy
|
|
(not the soul-crushing ones everyone dreads):
|
|
|
|
Step 1: Kill the "what went well / what didn't" format
|
|
→ Use "I wish... I wonder... I'm proud of..." instead
|
|
|
|
Step 2: Timebox ruthlessly
|
|
→ 45 minutes max. If it takes longer, your team is too big for one retro.
|
|
|
|
Step 3: One action item per person, max
|
|
→ A retro with 20 action items produces zero change.
|
|
→ One item per person = accountability.
|
|
|
|
Step 4: Start with appreciation
|
|
→ First 5 minutes: each person thanks someone else on the team.
|
|
→ This changes the entire energy of the room.
|
|
|
|
Step 5: Rotate the facilitator
|
|
→ The manager should NOT always run retros.
|
|
→ It changes what people feel safe saying.
|
|
|
|
I've used this format with teams of 5 to teams of 50.
|
|
|
|
What's your retro format? Drop it below --
|
|
I'm always looking for new approaches.
|
|
|
|
#Agile #EngineeringCulture #TeamManagement
|
|
```
|
|
|
|
**Wednesday 8:30 AM -- Data + Insight (Pillar 2)**:
|
|
```
|
|
We tracked every engineering team meeting for 6 months.
|
|
|
|
The data was uncomfortable.
|
|
|
|
→ Average engineer: 11.2 hours/week in meetings
|
|
→ Senior engineers: 16.4 hours/week
|
|
→ Time spent in meetings that could've been async: 62%
|
|
|
|
We cut 40% of recurring meetings.
|
|
|
|
Result after 3 months:
|
|
→ Sprint velocity: +23%
|
|
→ Engineer satisfaction: +31% (internal survey)
|
|
→ "Deep work" blocks per week: 2.1 → 4.7
|
|
|
|
The surprising part?
|
|
Nobody missed the deleted meetings.
|
|
Not one person asked to bring them back.
|
|
|
|
If you haven't audited your meeting load recently,
|
|
you're probably burning 30-40% of your team's capacity.
|
|
|
|
What % of your meetings could be an async update?
|
|
|
|
#Engineering #Productivity #Leadership
|
|
```
|
|
|
|
**Thursday 9:00 AM -- Contrarian Take (Pillar 3)**:
|
|
```
|
|
Unpopular opinion: "Culture fit" interviews should be illegal.
|
|
|
|
Here's why:
|
|
|
|
Culture fit = "do I want to get a beer with this person?"
|
|
That's not hiring. That's friend-making.
|
|
|
|
What actually matters:
|
|
→ Values alignment (do they care about the same outcomes?)
|
|
→ Working style compatibility (async vs sync, docs vs meetings)
|
|
→ Growth trajectory (will they push the team forward?)
|
|
|
|
None of those require "fitting in."
|
|
|
|
The best hire I ever made was someone who challenged
|
|
every assumption we had. They didn't "fit" our culture.
|
|
|
|
They made it better.
|
|
|
|
Replace "culture fit" with "culture add."
|
|
|
|
Agree or disagree? I'd love to hear your take.
|
|
|
|
#Hiring #Diversity #EngineeringCulture #Leadership
|
|
```
|
|
|
|
**Friday 8:00 AM -- Engagement Post (Pillar 4)**:
|
|
```
|
|
Fill in the blank:
|
|
|
|
"The best career advice I ever received was ___________."
|
|
|
|
I'll go first:
|
|
|
|
"Stop optimizing for your next promotion.
|
|
Start optimizing for your next learning curve."
|
|
|
|
Changed how I made every career decision since.
|
|
|
|
Your turn.
|
|
|
|
#CareerAdvice #ProfessionalGrowth
|
|
```
|
|
|
|
### Example 2: Company Page Management
|
|
|
|
**Scenario**: B2B SaaS company (Series B, 80 employees) managing their LinkedIn company page.
|
|
|
|
**Posting cadence**:
|
|
```
|
|
Company page: 4-5 posts per week
|
|
Employee advocacy: 2-3 employees reshare/post per week
|
|
Executive accounts: CEO + CTO post 2-3x/week each
|
|
```
|
|
|
|
**Weekly company page schedule**:
|
|
```
|
|
Monday: Industry insight or thought leadership (educational)
|
|
Tuesday: Product tip or customer use case (value-driven)
|
|
Wednesday: Team/culture spotlight (employer branding)
|
|
Thursday: Data or trend analysis (authority)
|
|
Friday: Milestone, hiring, or community post (engagement)
|
|
```
|
|
|
|
**Sample company page posts**:
|
|
|
|
**Tuesday -- Customer Use Case**:
|
|
```
|
|
"We used to spend 3 hours every Monday pulling reports manually."
|
|
|
|
That's what @CustomerName's ops team told us last quarter.
|
|
|
|
After switching to [Product] automated workflows:
|
|
→ Report generation: 3 hours → 12 minutes
|
|
→ Data accuracy: 89% → 99.7%
|
|
→ Team freed up: 12 hours/week for strategic work
|
|
|
|
The best part? They set it up in a single afternoon.
|
|
|
|
Read the full story: [link in first comment]
|
|
|
|
#DataAutomation #Operations #CustomerSuccess
|
|
```
|
|
|
|
**Wednesday -- Team Culture Spotlight**:
|
|
```
|
|
This is Sarah. She joined us as intern #3 two years ago.
|
|
|
|
Last week she deployed our new ML pipeline to production.
|
|
By herself. On a Tuesday. No drama.
|
|
|
|
What happened in between:
|
|
→ Mentored by 4 different senior engineers
|
|
→ Shipped 47 PRs in her first year
|
|
→ Gave her first conference talk at 23
|
|
→ Now leads a team of 3
|
|
|
|
We don't hire for credentials.
|
|
We hire for curiosity and grit.
|
|
|
|
Sarah had both.
|
|
|
|
We're hiring 5 more engineers just like her.
|
|
Link in the comments.
|
|
|
|
#Hiring #Engineering #StartupCulture #WomenInTech
|
|
```
|
|
|
|
**Employee advocacy tracking**:
|
|
```
|
|
| Employee | Role | Posts/Week | Avg Reach | Topics |
|
|
|----------|------|-----------|-----------|--------|
|
|
| CEO | Executive | 3 | 8,500 | Vision, industry, leadership |
|
|
| CTO | Executive | 2 | 5,200 | Technical, architecture, hiring |
|
|
| VP Eng | Leader | 2 | 3,100 | Engineering culture, management |
|
|
| DevRel | IC | 3 | 4,800 | Tutorials, product, community |
|
|
```
|
|
|
|
**Analytics tracking cadence**:
|
|
```
|
|
Daily: Check post-level engagement (reactions, comments, shares)
|
|
Weekly: Follower growth, top-performing post, engagement rate trend
|
|
Monthly: Content audit — which pillars/formats performed best
|
|
Adjust next month's content mix based on data
|
|
Quarterly: Competitor benchmarking, SSI review, strategy refresh
|
|
```
|
|
|
|
### Example 3: Job Seeker Profile Optimization Campaign
|
|
|
|
**Scenario**: Senior developer transitioning to engineering management role.
|
|
|
|
**4-week content plan**:
|
|
```
|
|
Week 1: Establish expertise
|
|
- Post about a technical decision you led and its business impact
|
|
- Share a "lessons from my first year managing" story
|
|
- Comment on 10 engineering leadership posts
|
|
|
|
Week 2: Demonstrate thought leadership
|
|
- Publish a how-to post: "How I transitioned from IC to manager"
|
|
- Share data or a framework you've developed
|
|
- Start engaging with hiring managers' content in target companies
|
|
|
|
Week 3: Build social proof
|
|
- Post about a mentoring success story (tag the mentee with permission)
|
|
- Share a "things I wish I knew" post targeting new managers
|
|
- Request 3-5 recommendations from colleagues and reports
|
|
|
|
Week 4: Signal availability
|
|
- Post about what you're looking for (without desperation)
|
|
- Engage heavily in target company employees' content
|
|
- Send personalized connection requests to hiring managers
|
|
```
|
|
|
|
**Sample "open to opportunities" post**:
|
|
```
|
|
After 8 years of writing code and 2 years of leading teams,
|
|
I'm looking for my next engineering management challenge.
|
|
|
|
What I bring to the table:
|
|
→ Scaled a team from 4 to 22 engineers
|
|
→ Reduced deployment failures by 73% through better process
|
|
→ Mentored 6 engineers into senior roles
|
|
→ Built hiring pipelines that maintained 85%+ offer acceptance
|
|
|
|
What I'm looking for:
|
|
→ Series A-C company building something meaningful
|
|
→ Team of 8-20 engineers who care about craft
|
|
→ Leadership that values engineering culture, not just velocity
|
|
|
|
If your team is growing and you value
|
|
managers who still understand the code --
|
|
I'd love to chat.
|
|
|
|
DMs are open. Or drop a comment and I'll reach out.
|
|
|
|
#OpenToWork #EngineeringManager #Hiring #Leadership
|
|
```
|