5be9c8e47c
Add /ultraresearch-local for structured research combining local codebase analysis with external knowledge via parallel agent swarms. Produces research briefs with triangulation, confidence ratings, and source quality assessment. New command: /ultraresearch-local with modes --quick, --local, --external, --fg. New agents: research-orchestrator (opus), docs-researcher, community-researcher, security-researcher, contrarian-researcher, gemini-bridge (all sonnet). New template: research-brief-template.md. Integration: --research flag in /ultraplan-local accepts pre-built research briefs (up to 3), enriches the interview and exploration phases. Planning orchestrator cross-references brief findings during synthesis. Design principle: Context Engineering — right information to right agent at right time. Research briefs are structured artifacts in the pipeline: ultraresearch → brief → ultraplan --research → plan → ultraexecute. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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LinkedIn Algorithm Signals Reference (April 2026)
Quick reference for ranking signals, weights, and penalties. For detailed context, see SKILL.md.
Positive Signals (Ranked by Weight)
Tier 1: Highest Impact
| Signal | Weight | Notes |
|---|---|---|
| Saves | 10x | Top signal - content worth returning to. Users who save = 130% higher chance of following. Only ~3% of posts reach save-worthy status. |
| Shares to feed | 8x | Public endorsement, strong distribution signal |
| Expert comments | 7-9x | Comments from verified domain experts trigger broader reach |
| Shares via DM | 6x | Private sharing still heavily valued |
| Comments 15+ words | 2.5x | Quality engagement, 2x impact vs shorter comments |
| Skill endorsements | +43% | Relevant skill endorsements boost content distribution |
Tier 2: High Impact
| Signal | Weight | Notes |
|---|---|---|
| Profile-content match | +35-40% | 360Brew validation - profile must prove expertise on post topic |
| Dwell time >30s | +25% | Reading/watching content signals quality |
| Comments (any) | 1x | Base engagement unit - 15x more reach than likes, 5x more than reshares |
| First-hour velocity | +20-30% | 15+ engagements in first hour unlocks broader distribution |
Tier 3: Moderate Impact
| Signal | Weight | Notes |
|---|---|---|
| Delayed engagement (24-72h) | 4-6x boost | Algorithm resurfaces quality content days after publication |
| Profile views from post | +10-15% | Interest signal, potential follower conversion |
| Click "see more" | +5-10% | Hook worked, engagement signal |
| Reactions (all types) | 0.2x | 5x less valuable than comments |
| Connection relevance | Variable | New connections get priority visibility for ~1 week |
Negative Signals (Penalties)
| Signal | Penalty | Notes |
|---|---|---|
| 5+ hashtags | -68% | Spam signal, triggers AI classifier |
| AI-generated comments | -30% reach, -55% engagement | Detected and penalized — use human comments only |
| Engagement pods | Shadow-ban | LinkedIn VP: goal to make pods "entirely ineffective". Comment velocity + account relationship analysis active |
| Third-party script comments | Removed | Comments via automation tools removed from "Most Relevant" feed |
| Off-topic for profile | -40-60% | 360Brew failure - profile doesn't validate expertise |
| External link in body | -25-40% | Platform retention focus - use first comment instead |
| Engagement bait phrases | -30-50% | "Comment YES if...", "Tag someone who...", "Type 1 for..." |
| Multiple posts <3 hours | -25% | Spam-like behavior |
| Posting gap >5 days | -15-25% | Consistency break, algorithm loses trust |
| Posts under 1,000 chars | -25% | Too short for meaningful dwell time |
| Posts over 2,500 chars | -32% | Diminishing returns, reader fatigue |
| Promotional carousels | -60-70% | Algorithm penalizes selling vs. educating |
| Link preview cards | -30-40% | Always remove preview if including links |
| Generic connection requests | Variable | Low acceptance rate hurts profile score |
Engagement Velocity Targets
| Time | Target | Warning Zone | Action if Warning |
|---|---|---|---|
| 5 min | 2-3 | 0 | Check if posted at wrong time |
| 15 min | 5-8 | <3 | Engage in comments to spark activity |
| 30 min | 10-15 | <5 | Consider if hook is working |
| 60 min | 15-25 | <10 | Post may not reach Stage 3 distribution |
| 90 min | 25-40 | <15 | Limited viral potential |
Critical threshold: 15+ engagements in first hour = unlocks 2nd/3rd degree distribution.
Content Format Multipliers (2026)
| Format | Reach Multiplier | Engagement Rate | Best For |
|---|---|---|---|
| PDF/Carousel | 3.4x reach | 1.92% engagement | Frameworks, guides, step-by-step. 7 slides optimal (5-10 range), 25-50 words/slide. 35% click-through minimum or penalty |
| Multi-image | 1.3x reach | 6.60% engagement | Before/after, comparisons, processes. Best for 5K-10K follower accounts |
| Polls | 1.64x reach (declining) | 1.5-2% | Audience research only. Declining effectiveness in 2026 |
| Video (60s) | 1.4x reach | Variable | Personal connection. Vertical 9:16 gets distribution boost. 30% completion rate minimum or zero reach. Always add captions (85% watch muted) |
| Text-only | 1.17x reach | 3-5% | Thought leadership, stories, opinions. Generates best comment quality |
| Link posts | -25-40% | <1% | Avoid if possible. Use first comment for links |
Optimal Ranges
| Element | Optimal | Warning |
|---|---|---|
| Post length | 1,200-1,800 chars | <1,000 (-25%) or >2,500 (-32%) |
| Hook length | <140 chars | >140 truncated on mobile "see more" |
| Hashtags | 3-4 | 5+ triggers -68% penalty |
| Video length | 60 seconds | <30s low dwell, >90s retention drops. 30% completion gate |
| Posting frequency | 3-5x/week | <2x loses consistency, >2x/day can fatigue |
| Carousel slides | 7 slides | <5 too short, >10 diminishing returns, >15 completion drops 40% |
| Caption (carousel) | <500 chars | Focus attention on slides |
| About section | 2,600 chars | Use all available space, front-load keywords |
| Headline | 220 chars | Include target audience + outcome |
2026 Reach Context
Overall organic reach declined significantly in 2026. This affects everyone — focus on relative performance (your posts vs your baseline), not absolute numbers.
| Metric | Change | Notes |
|---|---|---|
| Total reach | -47% YoY | Platform-wide decline |
| Video content | -72% YoY | Poor video penalized harder, good video still rewarded |
| Text posts | -34% YoY | Most resilient format |
| Company pages | ~1.6% of followers | Personal profiles outperform company pages 8x |
| Posting cadence | 2-5x/week | Sweet spot unchanged despite reach decline |
Implication: The algorithm rewards precision over broadcast. Smaller, engaged audiences outperform large but passive ones. 1:1 connections are now more valuable than follower count.
Posting Time Windows (CET/European Audience)
| Day | Peak Time | Notes |
|---|---|---|
| Tuesday | 8-9 AM, 10-11 AM | Best overall day |
| Wednesday | 8 AM, 12 PM | Second best |
| Thursday | 9 AM-1 PM | Extended peak window, highest engagement day |
| Friday | Before 3 PM | Drops sharply after 3 PM |
| Monday | 7-9 AM | Good for weekly kickoff content |
| Weekend | Avoid | -50%+ engagement vs weekdays |
For global audiences: Post 8-11 AM your local time to catch multiple zones.
Industry variations:
- B2B Professional Services: 7-9 AM, 12-1 PM, 5-6 PM
- Healthcare/Education: 10 AM-2 PM concentrated
- Financial Services: Wed-Thu 10 AM-12 PM
Four-Stage Distribution Model
| Stage | Timing | What Happens | Your Action |
|---|---|---|---|
| 1. Quality Classifier | 0-30s | AI spam/quality check + 360Brew profile validation | Ensure profile matches post topic |
| 2. Initial Test | 0-90min | 6-10% of connections see post | Stay active, respond to all comments |
| 3. Extended Distribution | 1-24h | 2nd/3rd degree if velocity good | Continue engagement, add value in comments |
| 4. Long-tail | 24-72h+ | Evergreen circulation. Delayed engagement now yields 4-6x better performance. Algorithm resurfaces high-quality older content | Let compound effects work — high-dwell posts stay active up to 7 days |
Stage 2 threshold: 15+ engagements in first hour = unlock Stage 3.
Depth Score (2026)
LinkedIn's primary content ranking metric. Measures actual engagement duration, not surface interactions. The feed now uses LLM-generated embeddings and transformer-based Generative Recommender models for semantic relevance scoring.
| Factor | Impact | Notes |
|---|---|---|
| Time spent reading/watching | Primary signal | Replaced likes as #1 ranking factor |
| Slide completion (carousel) | High | Each slide click = engagement signal. 7 slides optimal for completion |
| Video watch percentage | High | 30% minimum completion or zero distribution |
| Scroll-back behavior | Medium | Re-reading = strong quality signal |
| Save after reading | Highest | Save + high dwell = maximum distribution boost |
Distribution impact:
- High-dwell posts: active in feeds up to 7 days
- Low-dwell posts: dead after 24 hours
- First-hour dwell time determines post lifecycle
- Minimalist carousel design: +12% completion rate vs complex backgrounds
360Brew Profile Validation (January 2026)
The algorithm validates your profile BEFORE distributing content.
| Validation Criteria | What It Checks | Fix If Failing |
|---|---|---|
| About Section | Specific expertise claims, domain terminology | Rewrite with concrete expertise statements |
| Experience Section | Impact statements with metrics | Add quantified achievements |
| Content History | Previous posts on this topic, anecdotal evidence | Requires 90 days of aligned posting for full expertise categorization. Topic mismatch limits reach directly |
| Network Quality | Connected to professionals in your field | Connect with relevant domain experts |
| Engagement Patterns | Do you comment on posts in your expertise area? | Daily: 3-5 thoughtful comments in your domain |
Profile-content mismatch = -40-60% reach before anyone sees your post.
Quick Decision Rules
| Situation | Decision |
|---|---|
| Linking? | First comment, not body |
| Multiple ideas? | Split into separate posts |
| Off your usual topic? | Update profile first, or skip the post |
| Haven't posted in 5+ days? | Post simple text-only first to rebuild momentum |
| Using a poll? | Add substantial caption (300+ chars) |
| Tagging people? | Max 5, must be genuinely relevant |
| Including hashtags? | 3-4 max, specific > generic |
| Video or text? | Text for thought leadership, video for personal connection |
| Carousel or text? | Carousel for frameworks/guides, text for stories/opinions |
| Comment or like first? | Always comment first (higher algorithmic value) |
| New connection posted? | Comment within first week (algorithm priority window) |
Comment Strategy Quick Reference
| Target | Why | How Often |
|---|---|---|
| Your posts (self-comment) | Spark discussion, add resources | Wait 10 min, then 2-4 over 90 min |
| Whale posts (100K+ followers) | Visibility exposure | 2-3 early comments daily |
| New connections | Algorithm priority window | Within first week of connecting |
| Inner circle (5-10 peers) | Mutual support network | Daily genuine engagement |
| Ideal customers | Warm outreach pipeline | Find in relevant comment sections |
Comment formula (CEA):
- Compliment - Specific point you appreciated
- Expand - Your insight or related experience
- Ask - Question to continue dialogue
Minimum quality: 15+ words, adds genuine perspective.
Red Flags to Avoid
- Engagement pods (LinkedIn VP: goal to make pods "entirely ineffective" — comment velocity analysis and account relationship patterns actively detect manufactured engagement)
- Pitch-slapping in DMs
- Posting same content as company page
- Random topics outside demonstrated expertise
- "Great post!" style generic comments (harm reach even without pod involvement)
- Excessive self-promotion (>20% of content)
- Tagging unrelated people for reach
- Using AI-generated comments (55% engagement penalty)
Last updated: April 2026
Sources: Research synthesis from Richard van der Blom (Algorithm Research 2025), Lara Acosta (SLAY Framework), 360Brew algorithm analysis, LinkedIn Engineering Blog, Buffer (2M+ post analysis), Sprout Social (2.5B engagements), Justin Welsh, Jasmin Alic, Sahil Bloom case studies. April 2026 update: ALM Corp (LLM architecture analysis), Botdog (360Brew deep dive), DesignACE (engagement signal weights), ContentIn (format strategy guide), UseVisuals (carousel statistics 2026), Visla (video format 2026)